A Systematic Review of the Impact Overload on Road Pavement Batu City, Indonesia

A Systematic Review of the Impact Overload on Road Pavement Batu City, Indonesia

Alfi Nurhidayat* Khairul Hisyam Bin Kamarudin

Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur 54000, Malaysia

Urban and Regional Planning Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia

Corresponding Author Email: 
alfinurhidayat@umm.ac.id
Page: 
49-60
|
DOI: 
https://doi.org/10.18280/ijtdi.080105
Received: 
16 November 2023
|
Revised: 
6 January 2024
|
Accepted: 
15 January 2024
|
Available online: 
31 March 2024
| Citation

© 2024 The authors. This article is published by IIETA and is licensed under the CC BY 4.0 license (http://creativecommons.org/licenses/by/4.0/).

OPEN ACCESS

Abstract: 

Batu City, a premier tourist destination in Indonesia, has experienced a significant influx of tourists, leading to an upsurge in vehicular traffic. This increase in vehicular load has precipitated premature deterioration of the city's road pavements. A systematic approach to addressing this degradation is imperative for the refinement of road planning strategies, tailored to the pavement's lifespan, and for the development of a holistic road construction policy that aligns with the actual traffic load. This study employs a systematic literature review (SLR) to investigate the effects of vehicle overloading on the structural longevity of road pavements in Batu City. A keyword-driven search was conducted, resulting in the selection of 50 pertinent articles which were scrutinized to determine the extent of the impact that overloaded vehicles have on road infrastructure within tourist-heavy urban centers and to identify effective management solutions. The findings from the SLR indicate that excessive vehicle axle loads, or the presence of cities with high vehicular traffic, considerably expedite pavement damage and diminish the structural lifespan, as supported by evidence from 48% of the analyzed journals. These insights have practical implications for the assessment of road geometric designs, the examination of construction techniques and materials, and the formulation of models or policies that are congruent with the functional requirements of the city.

Keywords: 

average daily traffic, design life, infrastructure planning, policies, tourist city, vehicle overload

1. Introduction

Roads are land transportation infrastructure covering all parts of the road, including supporting buildings and equipment intended for traffic on the ground surface, above ground level, underground and/or water level, and above water level, except for railroads. and cable roads. Based on the Law of the Republic of Indonesia Number 38 of 2004, roads are classified based on their designation, encompassing public roads with functions categorized as arterial roads, collector roads, local roads, and environmental roads. Additionally, special roads are designated for specific purposes such as the distribution of goods and services, and are not intended for general traffic. According to Mohamed et al. [1] for the core transportation infrastructure, the road network has an intrinsic role in developing social and economic growth for each region and country. In addition, the existence of roads is also very important to support the growth of agriculture, culture, and other sectors [2]. Methodological gaps in addressing problems related to overloading, caused by heavy loads or an increase in the number of vehicles in several large cities in Indonesia, are often rooted in the lack of awareness among the public as road users. For instance, there is a significant gap in the predominant preference of the community for private vehicles over public transportation. These factors undoubtedly contribute to the heightened risk of premature damage to road pavements. Despite the government's efforts to enact regulations to tackle these issues, the cultural inclination in Indonesia remains resistant to swiftly comprehending and adhering to new regulations. Consequently, their implementation tends to be a time-consuming process.

Roads are currently often damaged in a relatively very short time (early damage), both roads that have just been built and roads that have just been repaired (overlay). According to Zainal et al. [3] basically, the road will experience a decrease in its structural quality by the increasing age of the road, especially if it is passed by vehicles with heavy loads and tends to exceed the provisions. According to Romadhoni et al. [4] the development and movement of people from one place to another in Indonesia is currently very high, making an efficient and well-maintained road network a very urgent need. Along with the increased movement of people and goods, increasing the concentration of people, especially in strategic areas, many vehicles also use these main roads over the planning limit [5]. In addition, there are physical and environmental developments of the metropolitan area [6], the distribution of the population that forms an urban sprawl result in unplanned and uncontrolled growth on the outskirts of the city, often characterized by low-density housing, single-use zoning, and increased reliance on private cars for transportation [7]. The population of Indonesia is increasing every year, reaching a notable growth rate of 1.13% in 2023 [8] is accompanied by a rising number of vehicles, reaching 153.40 million units [9]. Consequently, there is a substantial demand for road transportation. According to a study by Arifin [10], road construction is intended to provide services based on planned longevity. However, in reality, many sections experience a reduction in service life due to damage to road pavements. The most dominant factor causing rapid road damage is the excessive load received by road construction, exceeding the planned load.

Tourist mobility is a central concern in planning, urban spatial planning, and tourism activities, as well as in maintaining the quality of life for various groups involved. Tourist cities with high visitor potential must organize urban areas by adjusting road user patterns to prevent the blockage of movement circulation [11]. Tourists in Indonesia seek a more flexible mode of travel to accommodate their diverse travel needs, primarily opting for private vehicles [12]. The visiting pattern of tourists in Batu City shows a preference for private vehicles such as cars, motorcycles, or native city buses, as opposed to public transportation options like city buses or local public transport, resulting in an increased traffic load. The number of road users to and from the Batu City area continues to rise annually, leading to frequent vehicle congestion and traffic jams due to the growth of vehicles that is not proportionate to the existing lanes [13]. When examined from a mechanical perspective, the high volume of vehicles entering Batu City leads to the stress experienced by the road structure surpassing the planned capacity. This excess stress can be likened to the stress induced by overloading a vehicle axle, as it produces similar effects, notably resulting in permanent deformation of the road pavement structure. Consequently, the material is prone to cracking at an accelerated rate. The combination of wheel load and high tire pressure that is ignored can damage the surface layer and the overall pavement structure [14]. Regional policy formation greatly influences travel patterns in a city [15]. The local government of Kota Batu has developed and implemented regulations and official frameworks, such as Local Regulation No. 3 of 2011 regarding Permits for Public Transport Routes. This regulation supersedes Regional Regulation No. 10 of 2010, which pertains to Parking Fees on Public Road Sides. Additionally, odd-even rules have been applied to regulate vehicle traffic in Batu City. However, it is perceived that these regulations are still suboptimal in addressing traffic congestion and the growing number of excess vehicles in Batu City. Drawing insights from other tourist cities in Indonesia, such as Bogor, Bali, or Yogyakarta, an emphasis is placed on urban planning and traffic flow management to mitigate road-related issues. Potential strategies include increasing road capacity, redirecting traffic, improving and promoting public transport, and leveraging real-time traffic flow technology.

In connection with the advancement of vehicle overload theory, this research aims to provide an update through an analysis of the impact of overload resulting from the increasing number of vehicles in the research area, thereby generating comprehensive data. This data will serve as valuable input for road pavement life plan engineering to enhance its effectiveness in accommodating vehicular movements. Additionally, the research will formulate policies within a sustainable operational framework at the Batu City government level. These policies will be utilized for the planning and development of tourist areas, incorporating optimal city planning and traffic management practices.

Research on the impact of overloaded vehicles on road damage has been carried out and published in several journals over the last few years. The overload in question is a vehicle with a load that exceeds the Heaviest Axle Load (MST) limit which affects the value of the Equivalent Standard Axle Load (ESAL) and causes road damage to occur more quickly (cutting the actual road plan life) [3, 4, 16-18]. In operational terms, the damage factor represents the number of passes equivalent to one standard axle producing the same wear effect as one truck pass [19]. Adopting from these studies, a journal article on this topic will raise the issue of the effect of excess traffic/number of vehicles going in and out of Batu City on flexible pavement structures which have an impact on reducing the plan life of the road using case studies of tourism cities in Indonesia. The following questions aim to discuss and synthesize open issues relating to future research directions:

1.  What are the main causes of the occurrence of the road load phenomenon related to the age of the road/pavement and the planning of the road network in Batu Tourism City?

2.  What is the impact on the road/sidewalk planning scheme for Kota Wisata Batu due to the increasing number of vehicles using the road in the tourist city?

Specifically, this research will focus on qualitatively identifying the results of data analysis. The methods or approaches employed for data analysis encompass vehicle volume analysis, axle load analysis, the AASHTO method for calculating remaining pavement due to overload [16, 20], the linear regression method for comparing the equivalent value of passenger cars, and the IRI (International Roughness Index) method for assessing road surface conditions. The examination of causal factors will facilitate the determination of the relationship between vehicle growth and its impacts, aiming to propose an operational framework as the primary target for improving policies [21] and road planning in the current and future context of the study area.

2. Methodology

This research aims to measure the impact of increasing the number of vehicles on the design life of roads, identify methods and approaches to overcome these problems, and propose an operational framework to improve road management. In line with these aims and objectives, this research employs a systematic literature review as the most appropriate method to establish a theoretical foundation by drawing on various studies conducted previously. This approach supports the resolution of the researched problem, enhances the understanding of the context based on a scientific framework, and ensures that the research incorporates the latest updates.

In conducting a literature review, this research synthesized the current body of knowledge by following the steps outlined by the studies [22, 23]. After formulating the problem, the subsequent stages included (1) Article identification; (2) Article selection and study evaluation; (3) Data analysis and screening; and (4) Reporting and utilizing results. It is important to note that this study did not include a separate assessment of the quality of the reviewed articles. Instead, the focus was on reviewing the most relevant literature of vehicle overload and government policies impacting road pavements in tourist cities. Thus, the discussion, implications, and conclusions can be presented at the end of the study. Understanding the workflow through the methodology adopted in this research is explained in Figure 1 above with the following description:

Figure 1. Research methodology

2.1 Article identification

In this study, article identification was carried out by searching using the right keywords to compile a literature review. This study chose "Vehicle Overloading", "Road Pavement", "Policy", "Tourist City " as keywords. Similar words were identified and used as alternative words during the search process, such as those relating to “Sustainable Road Construction”, “Sustainable Road Transport”, “Highway Damage”, “Age of Road Pavement Plans”, “Tourism City Growth”, “Urban Sprawl”, “Vehicle Mobility”. The search was conducted on September 7, 2021 and renewed on March 9, 2023.

2.2 Article selection and study evaluation

In Figure 2, it is explained that the keywords mentioned are used in databases such as Science Direct, Google Scholar, Journal of Science Publishing, and Taylor & Francis. After looking through some of these databases, about 200 have been found. Exclusion criteria apply to articles under 2010, using Indonesian or English with appropriate keywords (eg "Vehicle Overloading" in Science Direct, Journal of Science Publishing, or Taylor & Francis). The study evaluation was carried out in relation to the contributions that were dismissed during the "title analysis" then "abstract analysis" until the 50 most suitable articles were obtained.

Figure 2. Article selection and study evaluation

2.3 Data analysis and screening

Data analysis and filtering is done by taking relevant information based on the research discussed. Identification is done by looking at things that are needed for further research. Data analysis details several aspects in the article as comparison material using descriptive analysis methods (general information and content) as well as data collection using comparative analysis, contrastive analysis, and systematic review meta synthesis methods which can be described as follows:

2.3.1 Comparative analysis

Comparative analysis is a method of looking at two or more similar objects to see the differences and similarities they have [24]. This study employs comparative analysis to explore similarities and differences within the same research object, such as overloading on road pavements, which can impact the condition or design life of the pavement, as well as data analysis methods and anticipated problem-solving.

2.3.2 Contrastive analysis

Contrastive analysis is a systematic method used to identify structural differences and similarities of two particular things [25]. Through contrastive analysis, data can be discerned by examining the distinctions among the selected journals, enabling the drawing of conclusions. Differences between journals in this study can be identified based on overloading resulting from an increase in the number of vehicles, road functions, city functions, and policies implemented to address various road-related issues.

2.3.3 Systematic reviews meta-synthesis

This method is used to present results by combining data from various studies conducted on similar research topics [26]. In this study, data were obtained online or digital libraries by searching and selecting journals/articles using keywords as well as several predetermined exclusion and inclusion criteria so that new ideas for research could be obtained [27]. The compilation of various data for the overload topic involved incorporating traffic analysis data, road infrastructure planning data, and several methods used. To address potential contradictions or gaps in the findings, the combined data will be adjusted to the specific conditions of the city or region that is relevant or closely aligned with the study area.

2.4 Reporting and using results

The articles used will be arranged in a recapitulation table based on the contents of the description that contributed to the research.

3. Results and Discussion

3.1 Descriptive analysis

3.1.1 General information analysis

Based on literature analysis from several journal articles, it is known that interest and attention in conducting research related to the topic of overloading has been carried out continuously since 2013 until now due to population growth factors accompanied by increasing vehicle ownership in various parts of the world. This topic is generally discussed by journals related to the field of study of Transportation and Civil Engineering.

3.1.2 Content analysis

Based on the analysis of the main themes from the journal articles that have been collected, most of the research contributions reviewed discuss phenomena that occur in traffic and flexible road pavements with an outline of the discussion containing the influence/impact of vehicle overloading on construction or pavement life (n=19), review of models or control efforts in overcoming road problems and overloading that occur (n=16), development of urban areas from urbanization factors (n=1), phenomena and development of cities as tourist attractions (n=5), transportation strategies sustainable (n=1), and policy implications or enforcement for transport within an urban area (n=8). Table 1 contains the contributions considered for the literature review and provides specific knowledge which contains Main Themes, Theoretical Lenses based on the author's report, Methods used, and Sectors Investigated.

Table 1. Summary of selected articles, methods and research sector prior to the screening process

General Information

Fill

Aut.

Journal

Journal Themes and Theoretical Lenses

Method

Research Sector

[28]

J. Procedia Social and Behavioral Sciences

Urban freight transport policy oriented model

Operational policy-oriented model analysis, methodological approach to urban goods movement survey

Urban Area

[29]

J. Urban Studies

Urban transport policy – New Urban Politics

Interview, quantitative and qualitative analyzes of urban policy, and the NUP literature

Manchester Olympics and Commonwealth Games Project

[21]

J. Transportation Research Part E: Logistics and Transportation Review

Overloading control for optimizing road handling costs – road transport interaction model

Two-level model approach (representing the interaction between vehicle loading practices and road planning authority policies)

Mexico

[30]

J. Procedia-Social and Behavioral Science

Controlling vehicle overloading – BOT

Existing condition axle load survey, identification of overload effect, overload control

New Delhi, India

[14]

J. Procedia Engineering

Durable and sustainable road construction – geometric design, road UR and axle loads

Axle load analysis, quality of construction against UR, analysis of recycled materials for pavement

Developing country

[31]

J. Transportation Engineering

Impact of excess traffic on road performance

Analysis of toll road traffic database for 5 years, UR and ESAL

Toll road

[17]

J. Works of Civil Engineering

Effect of overloading – road performance – road UR

supply demand analysis (road performance, flexible pavement, overloading)

Pringsurat Highway Section, Ambarawa-Magelang, IDN

[16]

J. Civil and Environmental Engineering

Effect of vehicle loads – degree of damage & road UR

Data collection and analysis of the remaining UP & DKJ from overloading

Prabumulih Street KM 32 Indralaya, South Sumatra, IDN

[32]

International Journal of Civil & Structural Engineering Research

Parking patterns for different parking facilities

Survey of variations of vehicles in parking lots, t tests, and parking patterns

India

[33]

J. of Economics and International Business Management

Traffic violations in urban areas a management perspective

Descriptive statistics and non-parametric tests

City of Windhoek Namibia

[34]

J. Construction and Building Materials

Asphalt pavement rutting behavior

Generalized Kelvin model, proposed new method, tangential stiffness matrix and vehicle load mode selection, and constant power in limited model.

Mountain Road, China

[35]

International Journal of Pavement Engineering

Effect of overloaded vehicles – road UR

Analysis of moving load data by WIM, asphalt pavement analysis, and fatigue life of pavement structures

Poland

[3]

J. Online Student of Civil Engineering

Effect of vehicle load – road damage

Data collection and analysis of MST & UR roads

Pahlawah Street Section, Citeureup, Bogor, IDN

[36]

J. Ghana Institute of Journalism

Overloaded goods trucks on toll roads

Fgd, interview, distribution of questionnaire and observation

West African Highway

[37]

J. Bridge Engineering

Characteristics and impact of overloaded extra heavy truck

Statistical monitoring of traffic data, classification of typical vehicle types, analysis of traffic scenarios, chi-square test, and comparison of Chinese and AASHTO codes

Xuanda Highway, China

[38]

J. Transportation Research Prodia

Enforcement of overload regulations on commercial vehicles – WIM

Determination of project location, implementation time, due diligence on WIM's response value and performance, evaluation and enforcement of regulations

Nantes, France

[39]

International Journal of Advance Research in Science and Engineering

Study of traffic and transport elements – medium urban planning approach

Traffic statistics survey and analysis, speed study, parking demand analysis, integration of multimodal transport, and model simulation with SUMO

India

[2]

J. Infrastructure

Study of early pavement damage factors – handling costs

Comparison of damage with previous research, classification of damage factors (fishbone diagram), identification of damage factors, analysis of the relationship between KPJ and handling costs (IRI and SDI)

Indonesia

[4]

J. Pakuan University

Influence of vehicle load – road UR

Data collection and analysis of MST, TP & UR roads

Mesuji Street, Lampung, IDN

[40]

J. Science and Civil Engineering Applications

Influence of vehicle load – road UR

Data collection and analysis of TP, UR roads & MST

Section Gusig-SP3 Blusuh, West Kutai, East Kalimantan IDN

[41]

J. Sustainability

The impact of tourism in the context of cities – the concept of overtourism

Tourism investigation, identification of managers, determination of respondents, interview, identification of perception patterns and management of overtourism

13 Tourist Cities in Europe

[42]

J. of Destination Marketing and Management

Overtourism and city survival

Ambidextrou management approach (exploitation & exploration)

City of Venice, Italy

[43]

J. Civil Static

Overload effect – road UR

ADT and vehicle overload data collection, VDF analysis and its increase due to overload, and ESAL analysis for road UR

Manado-Bitung Road Section, IDN

[44]

International Journal of Pavement Engineering

The impact of traffic loads on flexible pavements

Determination of typical fleet composition at the study site and simulation of heavy traffic flow with two scenarios

City of Portoviejo, Ecuador

[45]

J. Road Materials and Pavement Design

Effect of vehicle speed and overload on road pavement

Stress-strain response simulation, pavement transient dynamic analysis, and implicit dynamic analysis

China

[7]

J. of Urban and Regional Planning

The phenomenon of urban sprawl to changes in land use on the outskirts of the city

Literature review and urban sprawl analysis

Suburban Area, IDN

[46]

J. Transportation Research Procedia

Pavement damage – overloaded vehicles

Pavement structural analysis (Brazilian Method), HDM-4 Models analysis, and life cycle cost analysis for 30 years

Brazil

[12]

J. Transportation Research Part A: Policy and Practice

Policies on travel behavior of workers by public transport

Identification of dominant travel patterns by transit commuters and analysis of household travel activity surveys

US residents in all 50 states and the District of Columbia

[47]

J. Transportation Research Part A

Evaluation of city-scale built environment policies with new mobility

Nested logit mode choice modeling methods and synthetic population analysis

New York City, USA

[48]

J. Construction and Building Materials

Rutting resistance factor – multi sequence repeated loading test

MSRL test (specimen depth, separated layers, stress strain rate correlation, Compound Strain Rate (ec) indication, distribution analysis, and ANOVA

Jiangsu Province, China

[49]

J. Tourism Management

Development of road and transportation infrastructure for tourism

Data collection by online survey using a questionnaire (n = 350 people)

China-Pakistan Economic Corridor

[50]

J. Sustainability

Smart tourism city

A conceptual approach to the definition of a smart tourism city

Smart Tourism City concept

[51]

J. Frontiers in Sustainable Cities

Traffic calming on mobility, road safety, and pavements

Measuring spot speed and vehicle speed profile, visual inspection, geodetic laser leveling instrument

Abuakwa-Bibiani Toll Road

[52]

J. Engineering, Mathematics and Computer Science

Modification of the impact of the zero overloading policy on road UR

Comparison of CESA with 4 policies and policy changes

Java North Coast Road (Pantura), IDN

[53]

Proceedings of the 4th International Conference on Indonesian Social and Political Inquiries

Sustainability of road infrastructure – weigh bridge policy

Qualitative descriptive by obtaining information from related parties

Central Java and the Special Region of Yogyakarta IDN

[54]

J. Infrastructures

Futue mobility overview – smart roads

Assess the characteristics of smart roads by considering their advantages and disadvantages

Highway Infrastructure

[55]

J. Transportation Research Part A

Legal establishment of commercial vehicle weight limits – WIM & the Act

WIM trend analysis, administrative survey (n = 37) of road transport operators, respondent characteristic survey, binomial regression test, overload mitigation and regulation, regulatory recommendations

Abu Dhabi, Emirates

[56]

J. of Traffic and Transportation Engineering (English Edition)

Pavement engineering and material innovation – pavement engineering research review 2021

Performance analysis and modeling of asphalt binder, mix performance and modeling of pavement materials, multi-scale mechanics, green and sustainable pavements, and strong pavements

China

[57]

Simulation Modeling Practice and Theory

Urban transport simulation model specifications – travel and tour based models to convert deliveries into vehicle flows.

Travel-based model analysis, tour formation heuristics, and delivery sequencing models

Comparative Models; Singapore Vehicle Operations Data

[58]

International Journal of Environ

mental Research and Public Health

Tourism urbanization factors in tourist cities

State space analysis method, standard deviation ellipse, and spatial autocorrelation analysis

35 Major Tourist Cities, China

[59]

J.E3S Web of Conferences

Sustainable transportation strategy

Identification and evaluation of city conditions, population, number of vehicles, and transportation infrastructure

Riyadh, Saudi Arabia

[60]

Thesis

Impact of traffic loading on the road

Shaft load measurement with static axle weighing machines and moving weighing machines with visual inspection and questionnaire

Cabanas Highway, Kenya

[61]

International Journal of Geotechnique Construction Materials and Environment

Impact of overload on pavement design life - WIM

WIM and VDF surveys, as well as a comparison of Cumulative ESAL and Pavement Damage Ratio

Lampung and Palembang, IDN

[62]

J. Engineering Failure Analysis

Pavement structure failure – overload

Discussion with stakeholders, visual route survey of the road, conduction of test pits in the most severely damaged sections of the road, collection of soil samples, & generation of soil profiles

Minna-Kateregi-Bida Road, Nigeria

[63]

J. Transportation Geotechnics

Effect of overload and road pavement sealing conditions – road UR

Stress-strain analysis with AEMC, pavement condition analysis with FWD, deflection simulation with BackMeDiNa

BR-116/BA, Brazil

[64]

J. Construction and Building Materials

Investigation of early failure mechanisms of national roads – pavement bonding, overloading, and layer stiffness

Numerical parametric study with variable bonding conditions between pavement, overloading and layer stiffness, laser crack measurement system, and variation of base layer stiffness from DCP test

Bangladesh National Highway

[65]

J. of Regional and Rural Development Planning

Urban sprawl recommendations for controlling space utilization and development

Analysis of urban sprawl adoption from related research, analysis of autocorrelation of Moran and LISA indices, analysis of alignment of land use and spatial pattern of RTRW, and overlay

Karawang Regency, West Java, IDN

[66]

J. Research in Transportation Business and Management

Tourist mode of transport

Multinomial logit regression analysis

Barcelona

[67]

J. Earth and Environmental Science

Transportation infrastructure development

Spatial concentration analysis using the LQ index approach and assessing the direction of spatial planning policies

East Kalimanta IDN

[68]

J. Omega

Road network restoration efficiency – an integrated framework

Model-based data analysis for interdependent coordination “damage assessment”, “road restoration” and “aid distribution” and integrative frame work development

Miami-Dade and Broward Highways USA

Notes: ADT = Average Daily Traffic; DKJ = Degree of Road Saturation; UR = Planned Age; UP = Pavement Age; US = United States of America; CESA = Cumulative Equivalent Single Axle Load; BOT = Built Operational and Transfer; WIM = Weight in Motion; LQ = Location Quotient; MST = Heaviest Axle Load; ANOVA = Analysis of Variance; MSRL = Multi-Sequenced Repeat Load; NUP = New Urban Politics; KPJ = Road Pavement Damage; TP = Pavement Thickness; RTRW = Regional Spatial Plan; IDN = Indonesia; PSO = Particle Swarm Optimization; SUPAS = Inter-Census Population Survey; VDF = Vehicle Damage Factor; LISA = Local Indicator of Spatial Association; ESAL = Equivalent Standard Axle Load; DCP = Dynamic Cone Penetration; SUMO = Simulation of Urban Mobility; FWD = Falling Weight Deflectometer.

3.2 Literature review results

Based on the literature review summary for this study, 30 out of 62 studies, or 48% of the most relevant journals, indicate that vehicle loads exceeding specified limits can notably impact the condition of the structure or the lifespan of highway pavement and potentially lead to an increase in traffic accidents. As explained by Santana et al. [63] overloading the vehicle axle accelerates pavement damage and has an impact on the structure's lifespan, establishing a close relationship between the prediction of pavement life and the increase in the percentage of vehicle load on the road. A total of 14 studies explained that vehicle overload can be identified from normal vehicles and heavy vehicles with loads that exceed the heaviest axle load (MST) limit of each Axle Standard Equivalent Load (ESAL). The extensive variations found in the literature reviewed above contribute to a comprehensive perspective. The benefit obtained from this examination is that the advantages and disadvantages of prior research can be identified, aiding in achieving objectives and enhancing the current research. Generally, the AASHTO method is commonly employed in designing roads, and it provides empirical evidence of traffic loads over the design life. Although this method is widely used and considered the best for problem-solving in road pavement, there has been no update to the method to reflect current times. Nevertheless, other research introduces various methods, particularly the Weigh In-Motion (WIM) analysis, which is recommended and considered more efficient, especially in urban areas with high vehicle intensity. This analysis facilitates the accurate collection of vehicle load data through a sophisticated system. However, the implementation of this method remains uncommon due to its high costs and the need for experienced and professional regulators.

Most of the articles that have been reviewed (as many as 80%) indicate problems related to traffic and roads, including overloading which often occurs in big cities with rapid development and population growth followed by high vehicle movements. The countries with the greatest number of discussions related to problems that occur on the road pavement include China, India, Arabia, and Indonesia. Based on the review of the article above, addressing road problems, especially overloading, can be approached through various means. This includes evaluating the geometric design of the road and reviewing the techniques and materials used in planning road pavements. Furthermore, existing issues serve as a basis for enhancing discipline by establishing models, regulations, or policies that coordinate all activities within a city. This involves considering multiple aspects such as the city's function, roads as infrastructure, accessibility, and vehicles as means of transportation. The implications of such policies generally involve interventions such as simulating travel models or altering the function of vehicles in the city, with an emphasis on promoting the use of public transportation as a primary driving force. Local governments, as stakeholders, play a crucial role in conducting focus group discussions and formulating policies. Notable examples include New York City implementing a smart city approach to realize its built environment policy, the United Arab Emirates formulating and implementing an effective weight limit law for road safety, and China planning the layout of a tourism toll road network.

3.3 Key findings and discussion

This research in the context of the discussion will discuss the current limitations with ongoing research flows in the future for investigations between policy enforcement and the impact of vehicle overload on road pavement. Table 1 provides a summary of several forms of problem-solving efforts related to the impact of overloaded vehicles in urban areas. However, there are still many deficiencies in analyzing the problem in question, including a lack of supervision of vehicles crossing urban roads, a lack of firmness towards road users, drainage or supporting road bodies that are not functioning properly, and pavement construction that is not strong and easily damaged to support the vehicle load [3, 4, 16, 17, 40, 43]. However, so far there has been no research related to vehicle overloading that examines the number of vehicle movements. This research will encourage further efforts to overcome existing problems by establishing policies that are sought directly from the city government of the research location.

Contextual factors that influence overloading include: First, the results are affected by the context of vehicle overload which can reduce the life of the pavement plan so that the road will be damaged more quickly [40]. There are other factors that might influence this, so the literature suggests considering the types of vehicles that pass with a tendency to exceed the maximum provisions [3, 16, 63] checking the large vehicle [3, 4, 61, 69] measuring the reproducibility of the vehicle flow model between zones or adopting a choice of sequential destinations [57, 70] maintenance costs and overloaded vehicles [31, 46, 55] vehicle speed and design of pavement structures or mixes [45, 51, 64, 71], geometric design of roads [14] replacement of vehicle equipment [72] maintenance of waterways (drainage) [2, 4] or modification of road pavement forming materials [48, 64, 71].

Second, discussion of the city context from a socio-economic perspective is as a center for tourism activities which is very dependent on road, transportation, and communication infrastructure [67]. In addition, the high level of urbanization causes the intensity of urban growth concentration to also increase [73]. Future issues related to urbanization suggest the need for a direction to improve spatial planning based on city conditions [65] and provide easy accessibility, topography, availability of vacant land, transportation routes and land prices [7] while issues related to the activities of tourist cities, namely changing the pattern of visiting tourists by public transportation [12] collecting lots of data from different cities and find scope for several factors in capturing the overall characteristics of tourism activities [74] develop a tourism mobility plan [29, 58, 66], overcome overtourism and support tourism development [42] or developing the integration of expressway networks and tourism resources [49, 75].

Third, the context that leads to organizational and policy implications can be seen from the relationship between personality and road and traffic safety behavior [76]. Several literatures provide input to overcome the problem of road maintenance and enforcement of overload control [21, 60] by means of cost optimization and setting fines [21] provision of separate special vehicle operating environments with an effective framework [55] installation of weighbridges [30] or weigh in motion (WIM automatic) [38] pavement rehabilitation [77] traffic control [33] zero overloading policy [52] or a proposed discrete choice model to determine community location choices and departure times [47].

In order to overcome the phenomenon of overload due to the very high number of vehicle movements at the study site and investigate the questions raised for future research, it is necessary to carry out an important combination of theoretical studies and empirical studies. This is done because there has not been found similar research or research that is relevant to similar case studies based on the literature that has been collected. From this point of view, the existing literature shows that there are many factors that cause premature pavement damage due to the phenomenon of vehicle overload (most of them are trucks, tow trucks, and semi-trailers [3, 4] problem analysis was also carried out using various types of methods adapted to the conditions of the study area and the supporting equipment available in the city or country concerned (interview/questionnaire [28, 49] simulated traffic movements [44] visual observations with weighbridges or WIM motion sensors [30, 38] or track data from GPS [57, 70, 77]. Apart from that, decision/policy making really needs to be done, one of which is for the sustainability of road transportation [53] and smart transportation innovation [54]. This innovation is possible because many big cities in the world have invested in and recognized the concept of smart tourism cities and strategies relate to optimizing a sustainable environment [50]. Methods from the literature have their respective weaknesses including in terms of time, cost, and other aspects. This weakness underlies researchers to carry out developments in the hope that implementation can function not only at the study site but globally.

4. Conclusion

The key findings supporting the research objectives indicate that the rise in the number of vehicles correlates with an escalation in the load exerted on road pavements. Consequently, the percentage of premature damage to road pavements also increases. Additionally, addressing the issue of overload can be mitigated or reduced by implementing policies in a phased manner, tailored to the specific conditions of the study area. The objective of specialization is to obtain the whole atlas of specialization chains (graphs) by assigning various types of members and joints to each available generalized chain (graphs) subject to the design requirements and design constraints specified above. Various types of theories, models, and policy implementations have been used to examine the impact of vehicle overload which will affect the pavement structure and the design life of the road itself. The literature review that has been reviewed conducts research based on problems that occur in each country or city with different pavement and environmental conditions so that the aspects discussed are quite broad but not far from the core/themes carried out in this study. The process of selecting and filtering articles, as illustrated in Figures 1 and 2, forms the foundation of the literature review in this research. It aims to contribute to an enhanced understanding of issues related to policies for excessive vehicle numbers, assumed to have similar implications as excess vehicle loads on road pavement. This undoubtedly influences the strength of the pavement structure and its overall lifespan.

Study literature review is carried out to obtain theoretical foundations that can be used to support solving problems that occur. In this case, the case study was conducted in Batu City, East Java, Indonesia. As a result of the city being known as one of the leading tourist cities because of its potential for extraordinary natural beauty, the growth of this area also encourages economic growth. The surge in tourists (inter-city and foreign) that occurs at any time can cause excessive road loads, the impact that will be felt if this problem continues is premature damage to road pavement causing congestion and even accidents. Seeing the existing conditions, the most efficient method is used, namely the analysis of the heaviest axle load by calculating each ESAL value but based on the number of vehicle movements in and out of Batu City, as well as the pavement assessment and the plan age of the road using the AASHTO method. After analyzing traffic and road pavement, the obtained results will serve as recommendations for policy formation. The proposed primary policy initiates with focus group discussions and the engagement of stakeholders in Batu City. Formulation follows the policy preparation guidelines set by the Indonesian Government. This policy includes regulations such as the expansion of main roads to facilitate vehicle movement, encouraging the shift from private vehicle use to public transportation in Batu City, expanding and developing terminals, and implementing traffic management measures. Therefore, establishing a policy to address the issue of excessive vehicle numbers in Batu City can serve as a reference for discussions, promoting the sustainability of street life in line with planning needs. This policy model can also be applied in similar cases in other areas. Future research should delve into vehicle load calculations, particularly involving the increasing number of motorized vehicles (two-wheeled), and explore more efficient structuring of tourist city areas.

Acknowledgment

We would like to thank Universiti Teknologi Malaysia, Batu City Public Works and Spatial Planning Department, Batu City Transportation Department, and Batu City Government for their helpful feedback and support our research.

  References

[1] Mohamed, A.S., Xiao, F.P., Hettiarachchi, C. (2021). Project level management decisions in construction and rehabilitation of flexible pavements. Automation in Construction, 133: 104035. https://doi.org/10.1016/j.autcon.2021.104035

[2] Munggarani, N.A., Wibowo, A. (2017). Kajian faktor-faktor penyebab kerusakan dini perkerasan jalan lentur dan pengaruhnya terhadap biaya penanganan. Jurnal Infrastruktur, 3(1): 9-18.

[3] Zainal, Z., Mudianto, A., Rahmah, A. (2016). Analisa dampak beban kendaraan terhadap kerusakan Jalan (studi kasus: ruas jalan pahlawan, kec. citeureup, kab. bogor). Jurnal Online Mahasiswa (JOM) Bidang Teknik Sipil, 1(1): 1-15.

[4] Romadhoni, B.D. Mudianto, A., Purwanti, H. (2019). Pengaruh beban berlebih terhadap umur rencana jalan (studi kasus ruas jalan simpang pematang mesuji lampung). Universitas Pakuan.

[5] Prasetyo, A.E. Hadi, F. (2013). Analisis pemindahan moda angkutan barang di jalan raya pantura pulau jawa (studi kasus: Koridor surabaya-jakarta). Jurnal Teknik ITS, 2(1): E17-E22.

[6] Silitonga, D.P. (2010). Tahapan perkembangan metropolitan jabodetabek berdasarkan perubahan pada aspek lingkungan. Jurnal Perencanaan Wilayah dan Kota, 21(3): 197-214.

[7] Nugroho, I.S., Yuliani, E., Kautsary, J. (2020). Fenomena urban sprawl terhadap faktor-faktor perubahan penggunaan lahan di pinggiran kota. Uniplan: Journal of Urban and Regional Planning, 3(1): 1-8.

[8] Badan Pusat Statistik (2022). Laju pertumbuhan penduduk. https://www.bps.go.id/id/statistics-table/2/MTk3NiMy/laju-pertumbuhan-penduduk.html, accessed on Jun. 7, 2023.

[9] Sadya, S. (2023). Polri Catat 152,51 Juta Kendaraan di Indonesia pada 2022. https://dataindonesia.id/sektor-riil/detail/polri-catat-15251-juta-kendaraan-di-indonesia-pada-2022, accessed on Jan. 2, 2023.

[10] Arifin, Z. (2010). Pengaruh beban muatan angkutan kendaraan berlebih kendaraan truk terhadap perkiraan umur layan perkerasan. Universitas Indonesia.

[11] Clavé, S.A. (2018). Urban tourism and walkability. The Future of Tourism: Innovation and Sustainability, pp. 195-211.

[12] Rafiq, R. McNally, M.G. (2020). An empirical analysis and policy implications of work tours utilizing public transit. Transportation Research Part A: Policy and Practice, 142: 237-259. https://doi.org/10.1016/j.tra.2020.10.018

[13] Karya, D.C. (2021). Profil kota batu jawa timur. Profil Kabupeten/Kota, pp. 1-9.

[14] Molenaar, A.A.A. (2013). Durable and sustainable road constructions for developing countries. Procedia Engineering, 54: 69-81. https://doi.org/10.1016/j.proeng.2013.03.007

[15] Ewing, R., Cervero, R. (2001). Travel and the built environment: A synthesis. Transportation Research Record, 1780(1): 87-114. https://doi.org/10.3141/1780-10

[16] Sari, D.N. (2014). Analisis beban kendaraan terhadap derajat kerusakan jalan dan umur sisa. (studi kasus: PPT. senawar jaya sumatera selatan). Jurnal Teknik Sipil dan Lingkungan, 2(4): 615-620.

[17] Simanjuntak, G.I., Pramusetyo, A., Riyanto, B., and Supriyono, S. (2014). Analisis pengaruh muatan lebih (overloading) terhadap kinerja jalan dan umur rencana perkerasan lentur (studi kasus ruas jalan raya pringsurat, ambarawa-magelang). Jurnal Karya Teknik Sipil, 3(3): 539-551. 

[18] Arrive Alive (2021). Overloading and road safety. https://www.arrivealive.mobi/overloading-and-road-safety.

[19] Urquhart, F.A., Rhodes, A.H. (1990). The assessment of pavement loading for the allocation of road track costs. Publication of: Newcastle upon Tyne University, England, (73).

[20] The American Association of State Highway and Transportation Official. (1993). AASHTO Guide for Design of Pavement Structure. Aashto.

[21] Moreno-Quintero, E., Fowkes, T., Watling, D. (2013). Modelling planner-carrier interactions in road freight transport: Optimisation of road maintenance costs via overloading control. Transportation Research Part E: Logistics and Transportation Review, 50(1): 68-83. https://doi.org/10.1016/j.tre.2012.11.001

[22] Neri, A., Cagno, E., Paredi, S. (2022). The mutual interdependences between safety and operations: A systematic literature review. Safety Science, 153: 105812. https://doi.org/10.1016/j.ssci.2022.105812

[23] Singh, V., Singh, T., Higueras-Castillo, E., Liebana-Cabanillas, F.J. (2023). Sustainable road transportation adoption research: A meta and weight analysis, and moderation analysis. Journal of Cleaner Production, 392: 136276. https://doi.org/10.1016/j.jclepro.2023.136276

[24] Lembaga Penelitian dan Pengabdian Masyarakat Universitas Medan Area (2022). Mengenal analisis komparatif: definisi & bagaimana melakukannya. https://lp2m.uma.ac.id/2022/12/07/mengenal-analisis-komparatif-definisi-bagaimana-melakukannya/, accessed on Dec. 7, 2022.

[25] Lennon, P. (2008). Contrastive analysis, error analysis, interlanguage. In: Gramley, S., Gramley, V. (eds). Bielefeld Introduction to Applied Linguistics. Bielefeld: Aisthesis Verlag, pp. 51-60.

[26] Ahn, E.J., Kang, H. (2018). Introduction to systematic review and meta-analysis. Korean Journal of Anesthesiology, 71(2): 103-112. https://doi.org/10.4097/kjae.2018.71.2.103

[27] Pratami, R. (2022). Systematic review (meta synthesis) artikel bimbingan dan konseling: Peningkatan keterampilan berfikir kritis. Jurnal Bikotetik (Bimbingan dan Konseling: Teori dan Praktik), 6(1): 36-45. https://doi.org/10.26740/bikotetik.v6n1.p36-45

[28] Ambrosini, C., Patier, D., Routhier, J.L. (2010). Urban freight establishment and tour based surveys for policy oriented modelling. Procedia-Social and Behavioral Sciences, 2(3): 6013-6026. https://doi.org/10.1016/j.sbspro.2010.04.015

[29] Cook, I.R., Ward, K. (2011). Trans-urban networks of learning, mega events and policy tourism: The case of Manchester’s commonwealth and Olympic games projects. Urban Studies, 48(12): 2519-2535. https://doi.org/10.1177/0042098011411941

[30] Bagui, S., Das, A., Bapanapalli, C. (2013). Controlling vehicle overloading in BOT projects. Procedia-Social and Behavioral Sciences, 104: 962-971. https://doi.org/10.1016/j.sbspro.2013.11.191

[31] Pais, J.C. Amorim, S.I R., Minhoto, M.J.C. (2013). Impact of traffic overload on road pavement performance. Journal of transportation Engineering, 139(9): 873-879. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000571

[32] Singh, S.K. (2014). Study of parking patterns for different parking facilities. International Journal of Civil and Structural Engineering Research, 2(2): 35-39.

[33] Kashona, P., Pazvakawambwa, L. (2014). Statistical analysis of traffic offences around the city of Windhoek: A management perspective. Journal of Economics and International Business Management, 2(2): 36-41.

[34] Li, L.L., Huang, X.M., Han, D., Dong, M.S., Zhu. D.Y. (2015). Investigation of rutting behavior of asphalt pavement in long and steep section of mountainous highway with overloading. Construction and Building Materials, 93: 635-643. https://doi.org/10.1016/j.conbuildmat.2015.06.016

[35] Rys, D., Judycki, J., Jaskula, P. (2015). Analysis of effect of overloaded vehicles on fatigue life of flexible pavements based on weigh in motion (WIM) data. International Journal of Pavement Engineering, 17(8): 716-726. https://doi.org/10.1080/10298436.2015.1019493.

[36] Appiah, I.S.K. (2015). A situational analysis of the phenomenon of the freight truck overload on West African international highways. Doctoral dissertation. Ghana Institute of Journalism.

[37] Han, W.S., Wu, J., Cai, C.S., Asce, F., Chen, S., Asce, M. (2014). Characteristics and dynamic impact of overloaded extra heavy trucks on typical highway bridges. Journal of Bridge Engineering, 20(2): 1-11. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000666

[38] Jacob, B., Cottineau, L. (2016). Weigh-in-motion for direct enforcement of overloaded commercial vehicles. Transp. Transportation Research Procedia, 14: 1413-1422. https://doi.org/10.1016/j.trpro.2016.05.214

[39] Singh, S.K., Nikhil, A., Surendra, Y. (2017). Review on key elements of traffic & transportation planning approachs for a mid-sized city. In Proceedings of the 10th International Conference on Recent Development in Engineering Science, Humanities and Management, Candagarh, India, pp. 86-95.

[40] Khoironi, M. (2018). Analisa pengaruh beban muatan kendaraan berlebih terhadap umur perkerasan jalan gusig–sp3 blusuh. Kurva Mahasiswa, 1(1): 1914-1928.

[41] Koens, K., Postma, A., Papp, B. (2018). Is overtourism overused? Understanding the impact of tourism in a city context. Sustainability, 10(12): 1-15. https://doi.org/10.3390/su10124384

[42] Seraphin, H., Sheeran, P., Pilato, M. (2018). Over-tourism and the fall of Venice as a destination. Journal of Destination Marketing & Management, 9: 374-376. https://doi.org/10.1016/j.jdmm.2018.01.011

[43] Safitra, P.A., Sendow, T.K., Pandey, S.V. (2019). Analisa pengaruh beban berlebih terhadap umur rencana jalan (studi kasus: ruas jalan Manado-Bitung). Jurnal Sipil Statik, 7(3): 319-328.

[44] Almeida, A., Moreira, J.J.M., Silva, J.P., Viteri, C.G.V. (2019). Impact of traffic loads on flexible pavements considering Ecuador’s traffic and pavement condition. International Journal of Pavement Engineering, 22(6): 700-707. https://doi.org/10.1080/10298436.2019.1640362.

[45] Assogba, O.C., Tan, Y.Q., Sun, Z.Q., Lushinga, N., Bin, Z. (2019). Effect of vehicle speed and overload on dynamic response of semi-rigid base asphalt pavement. Road Materials and Pavement Design, 22(3): 572-602. https://doi.org/10.1080/14680629.2019.1614970

[46] Júnior, C.L.D.S.R., Brito, L.A.T., Heller, L.F., Schreinert, G.G., Núñez, W.P., Ceratti, J.A.P., Merighi, C. (2020). Impact on pavement deterioration due to overload vehicle regulation in Brazil. Transportation Research Procedia, 45: 842-849. https://doi.org/10.1016/j.trpro.2020.02.085

[47] He, B.Y., Zhou, J.K., Ma, Z.Y., Chow, J.Y.J., Ozbay, K. (2020). Evaluation of city-scale built environment policies in New York City with an emerging-mobility-accessible synthetic population. Transportation Research Part A: Policy and Practice, 141: 444-467. https://doi.org/10.1016/j.tra.2020.10.006

[48] Zhao, Z.Z., Jiang, J.W., Ni, F.J., Dong, Q., Ding, J.T., Ma, X. (2020). Factors affecting the rutting resistance of asphalt pavement based on the field cores using multi-sequenced repeated loading test. Construction and Building Materials, 253: 118902. https://doi.org/10.1016/j.conbuildmat.2020.118902

[49] Kanwal, S., Rasheed, M.I., Pitafi, A.H., Pitafi, A., Ren, M. (2020). Road and transport infrastructure development and community support for tourism: The role of perceived benefits, and community satisfaction. Tourism Management, 77: 104014. https://doi.org/10.1016/j.tourman.2019.104014

[50] Lee, P., Hunter, W.C., Chung, N. (2020). Smart tourism city: Developments and transformations. Sustainability, 12(10): 3958. https://doi.org/10.3390/su12103958

[51] Damsere-derry, J., Lumor, R., Bawa, S., Tikoli, D. (2020). Effects of traffic calming measures on mobility, road safety and pavement conditions on Abuakwa-Bibiani highway. Frontiers in Sustainable Cities, 2: 26. https://doi.org/10.3389/frsc.2020.00026

[52] Kinasih, R.K., Dewi, M., Putri, R. (2020). Modified zero overloading policy impact to pavement’s service life. Engineering, Mathematics and Computer Science (EMACS) Journal, 2(2): 41-46. https://doi.org/10.21512/emacsjournal.v2i2.6333

[53] Kismartini, K., Kristanto, Y. (2020). Maintaining road infrastructure sustainability through weighbridge policy. In Proceedings of the 4th International Conference on Indonesian Social and Political Enquiries, ICISPE 2019, Semarang, Central Java, Indonesia. https://doi.org/10.4108/eai.21-10-2019.2294397

[54] Trubia, S., Severino, A., Curto, S., Arena, F., Pau, G. (2020). Smart Roads: An overview of what future mobility. Infrastructures, 5(12): 107.

[55] Alkhoori, F.A., Maghelal, P.K. (2021). Regulating the overloading of heavy commercial Vehicles: Assessment of land transport operators in Abu Dhabi. Transportation Research Part A: Policy and Practice, 154: 287-299. https://doi.org/10.1016/j.tra.2021.10.019

[56] Office, JTTE Editorial, Chen, J.Q., Dan, H.C., et al. (2021). New innovations in pavement materials and engineering: A review on pavement engineering. Journal of Traffic and Transportation Engineering (English Edition), 8(6): 815-999. https://doi.org/10.1016/j.jtte.2021.10.001

[57] Alho, A.R., Sakai, T., Chua, M.H., Raven, M., Hara, Y., Ben-Akiva, M. (2021). Assessing the reproducibility of freight vehicle flows using tour and trip-based models for shipment-to-vehicle flow conversion. Simulation Modelling Practice and Theory, 107: 102207. https://doi.org/10.1016/j.simpat.2020.102207

[58] Xie, X., Zhang, L., Sun, H., Chen, F.F., Zhou, C.S. (2021). Spatiotemporal difference characteristics and influencing factors of tourism urbanization in China’s major tourist cities. International Journal of Environmental Research and Public Health, 18(19): 10414.

[59] Al Zohbi, G. (2021). Sustainable transport strategies: A case study of Riyad, Saudi Arabia. In E3S Web of Conferences. EDP Sciences. https://doi.org/10.1051/e3sconf/202125902007

[60] Odede, E.M.O. (2021). Trends and impacts of traffic loading on the northern corridor Athi river-city cabanas highway section, Kenya. Doctoral dissertation. University of Nairobi.

[61] Jihanny, J., Subagio, B.S., Yang, S.H., Karsaman, R.H., Hariyadi, E.S. (2021). The overload impact on design life of flexible. GEOMATE Journal, 20(78): 65-72.

[62] Mohammed, M., Alhassan, M., Waheed, T. (2022). Road pavement collapse from overloaded trucks due to traffic diversion: A case study of Minna-Kateregi-Bida Road, Nigeria. Engineering Failure Analysis, 131: 105829. https://doi.org/10.1016/j.engfailanal.2021.105829

[63] Santana, V.R., de Souza Almeida, M.S., Bressanin, H.W., Brito, J.A., Costa, W.G.S., da Costa São, M.D.S. (2022). Effects of overload and layer interface condition on estimated flexible pavement lifespan: Case study from BR-116/BA. Transportation Geotechnics, 34: 100762. https://doi.org/10.1016/j.trgeo.2022.100762

[64] Abadin, J., Hayano, K. (2022). Investigation of premature failure mechanism in pavement overlay of national highway of Bangladesh. Construction and Building Materials, 318: 126194. https://doi.org/10.1016/j.conbuildmat.2021.126194

[65] Andari, M.T., Pravitasari, A.E., Anwar, S. (2022). Analisis Urban Sprawl sebagai Rekomendasi Pengendalian Pemanfaatan Ruang untuk Pengembangan Lahan Pertanian di Kabupaten Karawang. Journal of Regional and Rural Development Planning, 6(1): 74-88. https://doi.org/10.29244/jp2wd.2022.6.1.74-88

[66] Domenech, A., Miravet, D., Gutierrez, A. (2023). Tourists' transport modal choices in Barcelona. Research in Transportation Business & Management, 48: 10090. https://doi.org/10.1016/j.rtbm.2022.100902

[67] Agustaniah, R., Wicaksono, A., Djakfar, L. (2022). Potential tourist destinations for priority transportation infrastructure development in East Kalimantan. IOP Conference Series: Earth and Environmental Science, 1000: 012008. https://doi.org/10.1088/1755-1315/1000/1/012008

[68] Farzaneh, M.A., Rezapour, S., Baghaian, A., Amini, M.H. (2023). An integrative framework for coordination of damage assessment, road restoration, and relief distribution in disasters. Omega, 115: 102748. https://doi.org/10.1016/j.omega.2022.102748

[69] Saleh, A., Amggraini, M., Hardianto, R. (2023). Analysis of the impact of overloading goods transportation on the design life of flexible pavement. In Proceedings of the International Conference on Advance Transportation, Engineering, and Applied Science (ICATEAS 2022), 217: 179. Springer Nature. 

[70] Oka, H., Fukuda, D., Shinohara, T. (2020). Tour pattern choice modelling and simulation of freight trucks in the Tokyo metropolitan area. Procedia Computer Science, 170: 708-713. https://doi.org/10.1016/j.procs.2020.03.167

[71] Yang, K., Li, R. (2020). Characterization of bonding property in asphalt pavement interlayer: A review. Journal of Traffic and Transportation Engineering (English Edition), 8(3): 374-387. https://doi.org/10.1016/j.jtte.2020.10.005

[72] Inegbedion, H., Aghedo, M. (2018). A model of vehicle replacement time with overloading cost constraint. Journal of Management Analytics, 5(4): 350-370. https://doi.org/10.1080/23270012.2018.1474390

[73] Mardiansjah, F.H. Rahayu, P. (2019). Urbanisasi dan pertumbuhan kota-kota di Indonesia: Suatu perbandingan antar-wilayah makro Indonesia. Jurnal Pengembangan Kota, 7(1): 91-110. https://doi.org/10.14710/jpk.7.1.91-108

[74] Venkadavarahan, M., Raj, C.T., Marisamynathan, S. (2020). Development of freight travel demand model with characteristics of vehicle tour activities. Transportation Research Interdisciplinary Perspectives, 8: 100241. https://doi.org/10.1016/j.trip.2020.100241

[75] Xu, Z.W., Xie, F. (2022). Research on collaborative optimization model of tourism resources and highway network based on IoT network and deep learning. Security and Communication Networks, 2022: 1637348. https://doi.org/10.1155/2022/1637348

[76] Pereira, V., Bamel, U., Paul, H., Varma, A. (2022). Personality and safety behavior: An analysis of worldwide research on road and traffic safety leading to organizational and policy implications. Journal of Business Research, 151: 185-196. https://doi.org/10.1016/j.jbusres.2022.06.057

[77] Amandio, A.M., das Neves, J.M.C., Parente, M. (2021). Intelligent planning of road pavement rehabilitation processes through optimization systems. Transportation Engineering, 5: 100081. https://doi.org/10.1016/j.treng.2021.100081