Sustainable Brownfields Land Use Change Modeling Using GIS-based Weights-of-Evidence Approach
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  • 作者:Saleh Abdullahi ; Biswajeet Pradhan
  • 关键词:Compact urban development ; Brownfield redevelopment ; Land use change modeling ; Weights ; of ; evidence ; Geographic information system (GIS)
  • 刊名:Applied Spatial Analysis and Policy
  • 出版年:2016
  • 出版时间:March 2016
  • 年:2016
  • 卷:9
  • 期:1
  • 页码:21-38
  • 全文大小:2,360 KB
  • 参考文献:Abdullahi, S., Mahmud, A. R. b., & Pradhan, B. (2013). Spatial modelling of site suitability assessment for hospitals using geographical information system-based multicriteria approach at Qazvin city, Iran. Geocarto International (ahead-of-print), 1–21, doi:10.​1080/​10106049.​2012.​752531 .
    Abdullahi, S., Pradhan, B., & Jebur, M. N. (2014). GIS-based sustainable city compactness assessment using integration of MCDM, Bayes theorem and RADAR technology. Geocarto International (ahead-of-print), 1–39. doi:10.​1080/​10106049.​2014.​911967 .
    Abdullahi, S., Pradhan, B., Mansor, S., & Shariff, A. R. M. (2015). GIS-based modeling for the spatial measurement and evaluation of mixed land use development for a compact city. GIScience & Remote Sensing, 52(1), 18–39. doi:10.​1080/​15481603.​2014.​993854 .
    Agostini, P., Carlon, C., Critto, A., & Marcomini, A. (2007). A step toward contaminated megasites management: six European experiences at comparison. Landfill Research Trends (pp. 47–75). New York: Nova Science Publishers Inc.
    Al-Ahmadi, K., Heppenstall, A., Hogg, J., & See, L. (2009a). A fuzzy cellular automata urban growth model (FCAUGM) for the city of Riyadh, Saudi Arabia. Part 1: model structure and validation. Applied Spatial Analysis and Policy, 2(1), 65–83.CrossRef
    Al-Ahmadi, K., Heppenstall, A., Hogg, J., & See, L. (2009b). A fuzzy cellular automata urban growth model (FCAUGM) for the city of Riyadh, Saudi Arabia. Part 2: scenario testing. Applied Spatial Analysis and Policy, 2(2), 85–105.CrossRef
    Al-sharif, A. A., & Pradhan, B. (2014). Monitoring and predicting land use change in Tripoli Metropolitan City using an integrated Markov chain and cellular automata models in GIS. Arabian Journal of Geosciencesam 7(10), 4291–4301. doi:10.​1007/​s12517-013-1119-7 .
    Althuwaynee, O. F., Pradhan, B., & Lee, S. (2012). Application of an evidential belief function model in landslide susceptibility mapping. Computers & Geosciences, 44, 120–135.CrossRef
    Alvarez-Guerra, M., Viguri, J. R., & Voulvoulis, N. (2009). A multicriteria-based methodology for site prioritisation in sediment management. Environment International, 35(6), 920–930.CrossRef
    Attoh-Okine, N. O., & Gibbons, J. (2001). Use of belief function in brownfield infrastructure redevelopment decision making. Journal of Urban Planning and Development, 127(3), 126–143.CrossRef
    Bardos, P. (2003). Sharing experiences in the management of megasites: towards a sustainable approach in land management of industrially contaminated areas. In Final Report of the NICOLE workshop, 2003 (pp. 55).
    Bardos, R., Nathanail, C., & Weenk, A. (2000). Assessing the wider environmental value of remediating land contamination. In Proceedings 7th International FZK/TNO Conference on Contaminated Soil, 2000.
    Bonham-Carter, G. (1994). Geographic information systems for geoscientists: modelling with GIS (Vol. 13). Elsevier.
    Bürger, C. M., Bayer, P., & Finkel, M. (2007). Algorithmic funnel‐and‐gate system design optimization. Water Resources Research, 43(8).
    Burton, E. (2002). Measuring urban compactness in UK towns and cities. Environment and Planning B, 29(2), 219–250.CrossRef
    Carlon, C., Pizzol, L., Critto, A., & Marcomini, A. (2008). A spatial risk assessment methodology to support the remediation of contaminated land. Environment International, 34(3), 397–411.CrossRef
    Carranza, E. J. M. (2009). Controls on mineral deposit occurrence inferred from analysis of their spatial pattern and spatial association with geological features. Ore Geology Reviews, 35(3), 383–400.CrossRef
    Chen, C., He, B., & Zeng, Z. (2013). A method for mineral prospectivity mapping integrating C4. 5 decision tree, weights-of-evidence and m
    anch smoothing techniques: a case study in the eastern Kunlun Mountains, China. Earth Science Informatics, 1–12.
    Cho, S.-H., Kim, S. G., & Roberts, R. K. (2011). Measuring the effects of a land value tax on land development. Applied Spatial Analysis and Policy, 4(1), 45–64.CrossRef
    Collins, F. P. (2002). Small business liability relief and brownfields revitalization act: a critique. Duke Environmental Law & Policy Forum, 13, 303.
    Davidson, M., & Lees, L. (2005). New-build ‘gentrification’and London’s riverside renaissance. Environment and planning A, 37(7), 1165–1190.CrossRef
    De Sousa, C. A. (2008). Brownfields redevelopment and the quest for sustainability (Vol. 3). Emerald Group Publishing.
    Dempster, A. P. (1967). Upper and lower probabilities induced by a multivalued mapping. The annals of mathematical statistics, 325–339.
    Grimm, V., Berger, U., Bastiansen, F., Eliassen, S., Ginot, V., Giske, J., et al. (2006). A standard protocol for describing individual-based and agent-based models. Ecological Modelling, 198(1), 115–126.CrossRef
    Gross, M. (2010). Ignorance, research and decisions about abandoned opencast coal mines. Science and Public Policy, 37(2), 125–134.CrossRef
    Hathout, S. (2002). The use of GIS for monitoring and predicting urban growth in East and West St Paul, Winnipeg, Manitoba, Canada. Journal of Environmental Management, 66(3), 229–238.CrossRef
    Hayek, U. W., Jaeger, J. A., Schwick, C., Jarne, A., & Schuler, M. (2011). Measuring and assessing urban sprawl: What are the remaining options for future settlement development in Switzerland for 2030? Applied Spatial Analysis and Policy, 4(4), 249–279.CrossRef
    Helbich, M., & Leitner, M. (2009). Spatial analysis of the urban-to-rural migration determinants in the Viennese metropolitan area. A transition from suburbia to postsuburbia? Applied Spatial Analysis and Policy, 2(3), 237–260.CrossRef
    Hilferink, M., & Rietveld, P. (1999). Land use scanner: an integrated GIS based model for long term projections of land use in urban and rural areas. Journal of Geographical Systems, 1(2), 155–177.CrossRef
    Jenks, M., Burton, E., & Williams, K. (1996). Compact cities and sustainability: An introduction (The Compact City: a sustainable urban form). London: E & FN Spon.
    Jjumba, A., & Dragićević, S. (2012). High resolution urban land-use change modeling: agent iCity approach. Applied Spatial Analysis and Policy, 5(4), 291–315.CrossRef
    Kaufman, M. M., Rogers, D. T., & Murray, K. S. (2005). An empirical model for estimating remediation costs at contaminated sites. Water, Air, and Soil Pollution, 167(1–4), 365–386.CrossRef
    Kuijpers-Linde, M. A. J., Bouwman, A., & Natuurplanbureau, M.-e. (2007). Nederland later: tweede duurzaamheidsverkenning: deel fysieke leefomgeving Nederland. Bilthoven: Milieu en Natuur Planbureau.
    Lange, D. A., & McNeil, S. (2004). Brownfield development: tools for stewardship. Journal of Urban Planning and Development, 130(2), 109–116.CrossRef
    Li, X., & Yeh, A. G.-O. (2002). Neural-network-based cellular automata for simulating multiple land use changes using GIS. International Journal of Geographical Information Science, 16(4), 323–343.CrossRef
    Li, X., & Yeh, A. G.-O. (2004). Analyzing spatial restructuring of land use patterns in a fast growing region using remote sensing and GIS. Landscape and Urban Planning, 69(4), 335–354.CrossRef
    Li, X., Yang, Q., & Liu, X. (2008). Discovering and evaluating urban signatures for simulating compact development using cellular automata. Landscape and Urban Planning, 86(2), 177–186.CrossRef
    Lin, J., & Yang, A. (2006). Does the compact-city paradigm foster sustainability? An empirical study in Taiwan. Environment and planning B planning and design, 33(3), 365–380.CrossRef
    Linkov, I., Satterstrom, F., Kiker, G., Batchelor, C., Bridges, T., & Ferguson, E. (2006). From comparative risk assessment to multi-criteria decision analysis and adaptive management: recent developments and applications. Environment International, 32(8), 1072–1093.CrossRef
    Livingstone, K., & Rogers, R. (2003). Housing for a compact city. Greater London authority.
    Maria de Almeida, C., Batty, M., Vieira Monteiro, A. M., Câmara, G., Soares-Filho, B. S., Cerqueira, G. C., et al. (2003). Stochastic cellular automata modeling of urban land use dynamics: empirical development and estimation. Computers, Environment and Urban Systems, 27(5), 481–509.CrossRef
    Mas, J.-F., Puig, H., Palacio, J. L., & Sosa-López, A. (2004). Modelling deforestation using GIS and artificial neural networks. Environmental Modelling & Software, 19(5), 461–471.CrossRef
    Matthews, R. B., Gilbert, N. G., Roach, A., Polhill, J. G., & Gotts, N. M. (2007). Agent-based land-use models: a review of applications. Landscape Ecology, 22(10), 1447–1459.CrossRef
    Mertens, B., & Lambin, E. F. (2000). Land‐cover‐change trajectories in southern Cameroon. Annals of the Association of American Geographers, 90(3), 467–494.CrossRef
    Mohammady, M., Pourghasemi, H. R., & Pradhan, B. (2012). Landslide susceptibility mapping at Golestan Province, Iran: A comparison between frequency ratio, Dempster-Shafer, and weights-of-evidence models. Journal of Asian Earth Sciences, 61, 221–236.
    Nampak, H., Pradhan, B., & Manap, M. A. (2014). Application of GIS based data driven evidential belief function model to predict groundwater potential zonation. Journal of Hydrology, 513, 283–300.
    Nelson, G. C., & Hellerstein, D. (1997). Do roads cause deforestation? Using satellite images in econometric analysis of land use. American Journal of Agricultural Economics, 79(1), 80–88.CrossRef
    Nijkamp, P., Rodenburg, C. A., & Wagtendonk, A. J. (2002). Success factors for sustainable urban brownfield development: a comparative case study approach to polluted sites. Ecological Economics, 40(2), 235–252.CrossRef
    Nourqolipour, R., Shariff, A. R. B. M., Balasundram, S. K., Ahmad, N. B., Sood, A. M., & Buyong, T. (2014). Predicting the Effects of Urban Development on Land Transition and Spatial Patterns of Land Use in Western Peninsular Malaysia. Applied Spatial Analysis and Policy, 1–19.
    Nuissl, H., & Schroeter-Schlaack, C. (2009). On the economic approach to the containment of land consumption. Environmental Science & Policy, 12(3), 270–280.CrossRef
    Olafsson, A. S., & Skov-Petersen, H. (2014). The use of GIS-based support of recreational trail planning by local governments. Applied Spatial Analysis and Policy, 7(2), 149–168.CrossRef
    Oliver, L., Ferber, U., Grimski, D., Millar, K., & Nathanail, P. (2005). The scale and nature of European brownfields. In CABERNET 2005-International Conference on Managing Urban Land LQM Ltd, Nottingham, UK, Belfast, Northern Ireland, UK, 2005.
    Openshaw, S., & Clarke, G. (1996). Developing spatial analysis functions relevant to GIS environments (spatial analytical perspectives on GIS). London: Tayler and Francis.
    Parker, D. C., Manson, S. M., Janssen, M. A., Hoffmann, M. J., & Deadman, P. (2003). Multi-agent systems for the simulation of land-use and land-cover change: a review. Annals of the Association of American Geographers, 93(2), 314–337.CrossRef
    Pijanowski, B. C., Brown, D. G., Shellito, B. A., & Manik, G. A. (2002). Using neural networks and GIS to forecast land use changes: a land transformation model. Computers, Environment and Urban Systems, 26(6), 553–575.CrossRef
    Pijanowski, B. C., Pithadia, S., Shellito, B. A., & Alexandridis, K. (2005). Calibrating a neural network‐based urban change model for two metropolitan areas of the Upper Midwest of the United States. International Journal of Geographical Information Science, 19(2), 197–215.CrossRef
    Pontius, R. G., Jr., & Millones, M. (2011). Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment. International Journal of Remote Sensing, 32(15), 4407–4429.CrossRef
    Pontius, R. G., Jr., & Schneider, L. C. (2001). Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA. Agriculture, Ecosystems & Environment, 85(1), 239–248.CrossRef
    Pourghasemi, H. R., Pradhan, B., Gokceoglu, C., Mohammadi, M., & Moradi, H. R. (2013a). Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran. Arabian Journal of Geosciences, 6(7), 2351–2365.CrossRef
    Pourghasemi, H. R., Pradhan, B., Gokceoglu, C., & Moezzi, K. D. (2013b). A comparative assessment of prediction capabilities of Dempster-Shafer and weights-of-evidence models in landslide susceptibility mapping using GIS. Geomatics, Natural Hazards and Risk, 4(2), 93–118.
    Pradhan, B., Oh, H.-J., & Buchroithner, M. (2010). Weights-of-evidence model applied to landslide susceptibility mapping in a tropical hilly area. Geomatics, Natural Hazards and Risk, 1(3), 199–223.CrossRef
    Pradhan, B., Abokharima, M. H., Jebur, M. N., & Tehrany, M. S. (2014). Land subsidence susceptibility mapping at Kinta Valley (Malaysia) using the evidential belief function model in GIS. Natural Hazards, 73(2), 1019–1042.
    Rall, E. L., & Haase, D. (2011). Creative intervention in a dynamic city: a sustainability assessment of an interim use strategy for brownfields in Leipzig, Germany. Landscape and Urban Planning, 100(3), 189–201.CrossRef
    Regmi, N. R., Giardino, J. R., & Vitek, J. D. (2010). Modeling susceptibility to landslides using the weight of evidence approach: Western Colorado, USA. Geomorphology, 115(1), 172–187.CrossRef
    Sabri, S., Ludin, A. N. M. M., & Ho, C. S. (2012). Conceptual design for an integrated Geosimulation and analytic network process (ANP) in gentrification appraisal. Applied Spatial Analysis and Policy, 5(3), 253–271.CrossRef
    Schädler, S., Morio, M., Bartke, S., Rohr-Zaenker, R., & Finkel, M. (2011). Designing sustainable and economically attractive brownfield revitalization options using an integrated assessment model. Journal of Environmental Management, 92(3), 827–837.CrossRef
    Schädler, S., Morio, M., Bartke, S., & Finkel, M. (2012). Integrated planning and spatial evaluation of megasite remediation and reuse options. Journal of Contaminant Hydrology, 127(1), 88–100.CrossRef
    Schädler, S., Finkel, M., Bleicher, A., Morio, M., & Gross, M. (2013). Spatially explicit computation of sustainability indicator values for the automated assessment of land-use options. Landscape and Urban Planning, 111, 34–45.CrossRef
    Shafer, G. (1976). A mathematical theory of evidence (Vol. 1). Princeton: Princeton University Press.
    Skapura, D. M. (1996). Building neural networks. New York: Addison-Wesley Professional, ACM Press.
    Tayyebi, A., Pijanowski, B. C., Linderman, M., & Gratton, C. (2014). Comparing three global parametric and local non-parametric models to simulate land use change in diverse areas of the world. Environmental Modelling & Software, 59, 202–221.CrossRef
    Tehrany, M. S., Pradhan, B., & Jebur, M. N. (2013). Remote sensing data reveals eco-environmental changes in urban areas of Klang Valley, Malaysia: contribution from object based analysis. Journal of the Indian Society of Remote Sensing, 41(4), 981–991.
    Tehrany, M. S., Pradhan, B., Jebur, M. N. (2014). Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS. Journal of Hydrology, 512, 332–343.
    Thiam, A. K. (2005). An evidential reasoning approach to land degradation evaluation: Dempster‐Shafer theory of evidence. Transactions in GIS, 9(4), 507–520.CrossRef
    Thomas, M. R. (2002). A GIS-based decision support system for brownfield redevelopment. Landscape and Urban Planning, 58(1), 7–23.CrossRef
    Tien Bui, D., Pradhan, B., Lofman, O., Revhaug, I., & Dick, O. B. (2012). Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): a comparative assessment of the efficacy of evidential belief functions and fuzzy logic models. Catena, 96, 28–40.CrossRef
    Van Eck, J. R., & Koomen, E. (2008). Characterising urban concentration and land-use diversity in simulations of future land use. The Annals of Regional Science, 42(1), 123–140.CrossRef
    van Schrojenstein Lantman, J., Verburg, P. H., Bregt, A., & Geertman, S. (2011). Core principles and concepts in land-use modelling: a literature review. In Land-Use Modelling in Planning Practice (pp. 35–57). Springer.
    Verburg, P. H., Schot, P. P., Dijst, M. J., & Veldkamp, A. (2004a). Land use change modelling: current practice and research priorities. GeoJournal, 61(4), 309–324.CrossRef
    Verburg, P. H., van Eck, J. R., de Nijs, T. C., Dijst, M. J., & Schot, P. (2004b). Determinants of land-use change patterns in the Netherlands. Environment and Planning B, 31(1), 125–150.CrossRef
    Walker, R. (2004). Theorizing land-cover and land-use change: the case of tropical deforestation. International Regional Science Review, 27(3), 247–270.CrossRef
    White, R., & Engelen, G. (1993). Cellular automata and fractal urban form: a cellular modelling approach to the evolution of urban land-use patterns. Environment and planning A, 25(8), 1175–1199.CrossRef
    Wu, F. (1998). SimLand: a prototype to simulate land conversion through the integrated GIS and CA with AHP-derived transition rules. International Journal of Geographical Information Science, 12(1), 63–82.CrossRef
  • 作者单位:Saleh Abdullahi (1)
    Biswajeet Pradhan (1)

    1. Department of Civil Engineering, Geospatial Information Science Research Center (GISRC), Faculty of Engineering, University Putra Malaysia, 43400, UPM, Serdang, Selangor, Malaysia
  • 刊物类别:Earth and Environmental Science
  • 刊物主题:Geography
    Landscape, Regional and Urban Planning
    Demography
    Human Geography
    Geography
  • 出版者:Springer Netherlands
  • ISSN:1874-4621
文摘
Rapid and unorganized urban growth brings about urban sprawl, which leads to the increase in the number of abandoned lands and brownfields within the cities. Revitalization and redevelopment of these areas is one of the key factors of compact urban development to achieve urban sustainability. However, not much research work has been done on the redevelopment of brownfield on the base of compact urban development paradigm in the recent literature. Most researches on this field have mainly considered a single brownfield site for redevelopment on the bases of local neighborhood demand and characteristics. The current paper proposes a brownfields land use change modeling process according to a compact city paradigm in a larger scale perspectives rather than local aspects. The proposed model is a statistical-based weights-of-evidence (WoE) approach in the GIS environment. The growth of three main land use types in Kajang city, Malaysia was predicted using several compact development parameters and other urban and physical site characteristics. Maps that have been created with this process were validated by actual growth maps of these land use types using an area under curve (AUC) technique. The AUC of residential, commercial and industrial land use were gained as 77.4, 78, and 67 %, respectively. Finally, these maps were aggregated with an existing brownfields map in order to project future land use types according to planning strategies, as well as compact development characteristics. Results indicate that according to potential and suitability of the site and neighborhood properties, each brownfield can serve the community as single or mixture of several land use types. It is concluded that the combination of land use change modeling techniques and compact urban development theory in GIS environment can provide a strong tool for brownfields redevelopment planning and strategies.

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