Fast Simulation Tool: SDSS for Housing Development and More

Fast Simulation Tool: SDSS for Housing Development and More

J. Janusz

Department of Architecture, University of Technology and Life Sciences in Bydgoszcz, Poland

Page: 
39-48
|
DOI: 
https://doi.org/10.2495/SDP-V11-N1-39-48
Received: 
N/A
|
Accepted: 
N/A
|
Published: 
29 February 2016
| Citation

OPEN ACCESS

Abstract: 

This article describes research in progress as the development and practical implementations of the original analytic tool that forecasts the development process as a process of evolution of an area as related to time. While returning significant data such as a demand for utilities or infrastructure costs, it prepares and supports the decision process. The concept is to build a basis for a discourse between parties involved in the development, but particularly local authorities responsible for managing the space in wider context. The prognosis generated by the application delivers instant information on consequences of various factors behind the development process and basic simulation of spatial development as well as informing the members of the design process, namely planners, authorities, investors and other interested participants or parties, on how long certain organization, location constraints, existing facilities and infrastructure among others may affect the final result. The tool thus filters marketing information provided by the developer or the investor and allows for real effect assessment including time-related phenomena. While the development involved wide variety of research methods (statistical, correlative, study of literature and documents, etc.), the core of the project is simulation studies. It is confronted with data collected from cooperating authorities of Rokietnica, Oborniki and Pniewy during the implementations in the spatial studies in master planning related decision-making.

Keywords: 

FAST, GIS, SDSS, spatial planning analysis

  References

[1] Müller-Eie, D. & Bjorno, L., Urban sustainability as social innovation, The Sustainable City IX URBAN REGENERATION AND SUSTAINABILITY, eds. N. Marchettini, C.A. Brebbia & R., Pulselli, WIT Press: Siena, pp. 98–99, 2014.

[2] Veldkamp, A. & Lambin E.F., Predicting land-use change. Agriculture, Ecosystems and Environment, 85(2001), pp. 2–6, 2001.

[3] Jankowski, P., Towards participatory geographic information systems for community-based environmental decision making. Journal of Environmental Management, 90(2009), pp. 1966–1967, 2009.

[4] Masser, I., The future of spatial data infrastructures, ISPRS Workshop on Service and Application of Spatial Data Infrastructure, XXXVI (4/W6), eds. Jie Jiang, Hangzhou, pp. 8–12, 2005.

[5] Baldwin, R., Scherzinger, R., Lipscomb, D., Mockrin, M. & Stein, S., Planning for land use and conservation: assessing GIS-based conservation software for land use planning. Research Note RMRS-RN-70. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station: Fort Collins, CO, p. 33, 2014.

[6] Muzafar, A.B., Razeef, M.S. & Bashir, A., Cloud computing: a solution to geographical information systems (GIS). International Journal on Computer Science and Engineering (IJCSE), 3(2), pp. 594-595, 2011.

[7] Belle, J., Geospatial intelligence: can customs learn from the policing perspective? World Customs Journal, 8(2), pp. 67–68, 2014.

[8] O’Sullivan, D. & Unwin, D.J., Geographic Information Analysis, John Wiley & Sons: Hoboken, New Jersey, Edition II, pp. 349–355, 2010.

[9] Stachura, E., Spatial measures of quality of dwelling in Poland: choice and evaluation in the light of research. Consumption and Development, 1(2011), pp. 130–134, 2011.

[10] Shen, Y.-L., Ochoa, J.J., Shah, S.N. & Zhang, X., The application of urban sustainability indicators: a comparison between various practices. Habitat International, 35(2011), pp. 20–21, 2011.

[11] Barełkowski, R., Planning for sustainable development of energy infrastructure: FAST –Fast Simulation Tool. International Journal of Energy Production and Management, 1(1), pp. 61–71, 2016. doi: http://dx.doi.org/10.2495/EQ-V1-N1-61-71

[12] GUS – Central Statistical Office of Poland, http://stat.gov.pl

[13] The ordinance of the Council of Ministers on property valuation and development of the valuation report, Dz.U. 2004 nr. 207 poz. 2109, 2011.

[14] Pettit, C.J., Klosterman, R.E., Nino-Ruiz, M., Widjaja, I., Russo, P., Tomko, M., Sinnott, R. & Stimson, R., The online what if? Planning support system. Lecture Notes in Geoinformation and Cartography, 195(2013), pp. 350–354,2013.

[15] Xu, Z. & Coors, V., Combining system dynamics model, GIS and 3D visualization in sustainability assessment of urban residential development. Building and Environment, 47(2012), pp. 274–275, 2012.

[16] Dąbrowska-Milewska, G., Urban planning standards as the means of rational land use in towns. Technical Transactions, 107(14), pp. 18–19, 2010.

[17] Gielen, D.M. & Tasan-Kok, T., Flexibility in planning and the consequences for publicvalue capturing in UK, Spain and the Netherlands. European Planning Studies, 18(7), pp. 1117–1117, 2010. doi: http://dx.doi.org/10.1080/09654311003744191

[18] Newman, P. & Thornley, A., Urban Planning in Europe. International Competition, National Systems and Planning Projects, London and New York, pp. 17–18, 50, 210, 1996.

[19] Hall, P., The Centenary of Modern Planning (Chapter 2). Urban Planning in a Changing World, ed. R. Freeston, E&FN SPON: London, pp. 20–39, 2000.

[20] Jones, P., Patterson, L. & Lannon, S., Modelling the built environment at an urban scale–energy and health impacts in relation to housing, Landscape and Urban Planning, 83(2007), pp. 40–49, 2007.

[21] Marique, A.-F. & Teller, J., Towards Sustainable Neighbourhoods: A New Handbook and Its Application, The Sustainable City IX Urban Regeneration and Sustainability, eds. N. Marchettini, C.A. Brebbia & R. Pulselli, R., WIT Press: Siena, pp. 177–183, 2014.

[22] Innes, J.E. & Booher, D.E., Indicators for sustainable communities: a strategy building on complexity theory and distributed intelligence. Planning Theory & Practice, 1(2), pp. 173–186, 2000. doi: http://dx.doi.org/10.1080/14649350020008378

[23] Kaya, J.J., Regierb, H.A., Boylec, M. & Francisa, G., An ecosystem approach for sustainability: addressing the challenge of complexity. Futures, 31(7), pp. 721–742, 1999. doi: http://dx.doi.org/10.1016/S0016-3287(99)00029-4

[24] O’Sullivan, D. & Unwin, D.J., Geographic Information Analysis, John Wiley & Sons: Hoboken, New Jersey, pp. 350–358, 2010. doi: http://dx.doi.org/10.1002/9780470549094

[25] Glaeser, E.L. & Luttmer, E.F.P., The misallocation of Housing Under Rent Control, American Economic Review, 93, pp. 1030–1046, 2003. doi: http://dx.doi.org/10.1257/000282803769206188

[26] Gallin, J., The long-run relationship between house prices and income: evidence from local housing markets. Real Estate Economics, 34(3), pp. 417–438, 2006. doi: http:// dx.doi.org/10.1111/j.1540-6229.2006.00172.x

[27] Kain, J.F., Measuring the value of housing quality. Journal of the American Statistical Association, 65(330), pp. 537–539, 1970. doi: http://dx.doi.org/10.1080/01621459.1970.10481102

[28] Zhu, X., Healey, R.G. & Aspinall, R.J., A knowledge-based systems approach to design of spatial decision support systems for environmental management. Environ Manage, 22(1), pp. 38–43, 1998. doi: http://dx.doi.org/10.1007/s002679900082

[29] Densham, P.J., Spatial decision support systems. Geographical information Systems, 1, pp. 404–412, 1991.

[30] Gröchenig, S., Brunauer, R. & Rehrl, K., Estimating completeness of VGI datasets by analyzing community activity over time periods, Connecting a Digital Europe through Location and Place, eds Huerta, J., Schade, S. & Granell, C., Castellón, Springer International Publishing: Berlin, pp. 3–6, 2014.

[31] Sugumaran, R. & DeGroote, J., Spatial Decision Support Systems, Principles and Practices, Taylor & Francis Group: New York, pp. 191–194, 225–259, 2011.

[32] Op. cit. Sugumaran, R. & DeGroote, J., Spatial Decision Support Systems, pp. 197–200, 2011.

[33] Op. cit. Sugumaran, R. & DeGroote, J., Spatial Decision Support Systems, pp. 198–243, 2011.

[34] Janes, G.M. & Kwartler, M., Communities in control developing local models using community viz (Chapter 8), Planning Support Systems for Cities and Regions, ed. R.K. Brail, Lincoln Institute of Land Policy: Cambridge, pp. 168–180, 2008.

[35] Trusins, J., Lektauers, A., Merkuryev, Y. & Trusina, I., The capabilities of simulation in spatial planning. Scientific Journal of Riga Technical University, 49(2011), pp. 124–126, 2011.

[36] Wickramasuriya, R., Chisholm, L., Puotinen, M., Gill, N. & Klepeis, P., Parcel subdivision automation for agent-based land use modelling. International Congress on International Environmental Modelling and Software, eds. D. Swayne, W. Yang, A.Voinov, A. Rizzoli, & T. Filatova, Ottawa, pp. 5–7, 2010.

[37] Op cit. Sugumaran, R. & DeGroote, J., Spatial Decision Support Systems, Principles and Practices, pp. 197–199.

[38] Rozum, J.S., Arnold, C.L. & Wilson E.H., About buildouts, a brief guide to buildout analysis, and why and how to do them, A Technical Report of the CT NEMO Program, A Part of the Center for Land Use Education and Research, University of Connecticut, Storrs, pp. 4–13, 2008.

[39] Op cit. Rozum, J.S., Arnold, C.L. & Wilson E.H., About buildouts, a brief guide to buildout analysis, and why and how to do them, pp. 7–8, 2008.

[40] Vanegas, C.A., Kelly, T., Weber, B., Halatsch, J., Aliaga, D.G. & Muller, P., Procedural generation of parcels in urban modeling, EUROGRAPHICS, 31(2), pp. 3–7, 2012. doi: http://dx.doi.org/10.1111/j.1467-8659.2012.03047.x

[41] Wickramasuriya, R., Chisholm, L., A., Puotinen, M., Nicholas Gill, N. & Klepeis, P., An automated land subdivision tool for urban and regional planning: concepts, implementation and testing. Environmental Modelling & Software, 26(12), pp. 1675–1684, 2011.

[42] Janusz, J. & Wardenski, L., FAST: instant verification of the results of planning decisions. WIT Transactions on Ecology and the Environment, 191, pp. 694–696, 2014, ISSN 1743-3541, doi: 10.2495/SC140581

[43] GUS – Central Statistical Office of Poland, http://stat.gov.pl

[44] County of Oborniki, Information about the county, http://www.oborniki.pl/miejs cowosci-gminy-oborniki/

[45] County of Rokietnica, County in numbers, http://www.rokietnica.pl/pl/gmina_w_liczbach.php

[46] Barełkowska, K. & Chlasta, L., Suburban buffers as key areas in a sustainable city, The Sustainable City IX Urban Regeneration and Sustainability, eds. N. Marchettini, C.A. Brebbia, & R. Pulselli, WIT Press: Siena, pp. 686–687, 2014.

[47] Op cit. The ordinance of the Council of Ministers on property valuation and development of the valuation report, Dz.U. 2004 no. 207 poz. 2109, 2011.

[48] Limsombunchai, V., House price prediction: hedonic price model vs. artificial neural network. American Journal of Applied Sciences, 1(3), pp. 195–200, 2004.

[49] Nguyen, N. & Cripps, A., Predicting housing value: a comparison of multiple regression analysis and artificial neural networks. Journal of Real Estate Research, 22(3), pp. 323–332, 2001.