Land-use models are a well-established component of planning support systems to support urban planning for and with a local community. Existing models are based on either land-suitability analysis or facility-network performance analysis, reflecting two major approaches in modelling for spatial planning—land-use-allocation or land-use-change modelling, and location-allocation modelling. In this study, we propose an agent-based approach to combine methods from both approaches in a single system. We argue and illustrate in a case study that the integrated model is better able to account for a difference in nature between area-type land uses (for example, housing, industry, nature), on the one hand, and facility-type land uses (for example, retailing, schools, medical services), on the other. The model is able to generate a limited set of different land-use-plan alternatives by systematically varying macrocharacteristics of facility networks. The results of a case study suggest that the model generates meaningful sets of land-use-plan alternatives in reasonable computation time.
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References
1.
ArentzeT AOppewalHTimmermansH J P, 2005, “A multipurpose shopping trip model to assess retail agglomeration effects”Journal of Marketing Research42109–115
2.
ArmstrongM P, 1993, “Perspectives on the development of group decision support systems for locational problem-solving”Geographical Systems169–81
3.
BattyM, 1995, “Planning support systems and the new logic of computation”Regional Development Dialogue161–17
4.
BattyMXieY, 1994, “From cells to cities”Environment and Planning B: Planning and Design2131–48
5.
BeaumontJ R, 1987, “Location-allocation models and central place theory”, in Spatial Analysis and Location-allocation Models Eds GhoshRRushtonG (Von Nostrand Reinhold, New York) pp 21–75
6.
BrillE DFlachJ MHopkinsL DRanjithanS, 1990, “MCA: A decision support system for complex, incompletely defined problems”IEEE Transactions on Systems, Man and Cybernetics20745–757
7.
CromleyR GHaninkD M, 1999, “Coupling land-use allocation models with raster GIS”Journal of Geographical Systems1137–153
8.
DellaertBArentzeT AMierlaireMBorgersATimmermansH, 1998, “Investigating consumers' tendency to combine multiple shopping purposes and destinations”Journal of Marketing Research35177–188
9.
DenshamP J, 1994, “Integrating GIS and spatial modelling: visual interactive modelling and location selection”Geographical Systems1203–221
10.
DenshamP JRushtonG, 1996, “Providing spatial decision support for rural public service facilities that require a minimum work load”Environment and Planning B: Planning and Design23553–574
11.
DreznerZ (Ed.), 1995Facility Location: A Survey of Applications and Methods (Springer, New York)
12.
EastmanJ RJinWKyemPToledanoJ, 1995, “Raster procedures for multiobjective land-use planning”Photogrammatic Engineering and Remote Sensing61539–547
13.
EitanYNarulaS CTienJ M, 1991, “A generalized approach to modeling the hierarchical location-allocation problem”IEEE Transactions on Systems, Man and Cybernetics2131–46
14.
EngelenGWhiteRUljeeI, 1997, “Integrating constrained cellular automata models, GIS and decision support tools for urban planning and policy making”, in Decision Support Systems in Urban Planning Ed. TimmermansH J P (Spon, London) pp 125–155
15.
GeertmanSStillwellJ, 2004, “Planning support systems: an inventory of current practice”Computers, Environments and urban Systems28291–310
16.
GhoshAMcLaffertyS L, 1987Location Strategies for Retail and Service Firms (Lexington Books, Toronto)
17.
HansenPJaumardBTuyH, 1995, “Global optimization in location”, in Facility Location: A Survey of Applications and Methods Ed. DreznerZ (Springer, New York) pp 43–68
18.
HarrisBBattyM, 2001, “Locational models, geographic information and planning support systems”, in Planning Support Systems: Integrating Geographic Information Systems, Models and Visualization Tools Eds BrailR KKlostermanR E (ESRI, Redlands, CA) pp 25–58
19.
HillsmanE L, 1984, “The p-median structure as a unified linear model for location-allocation analysis”Environment and Planning A16305–318
20.
KlostermanR E, 1999, “The what if? collaborative planning support system”Environment and Planning B: Planning and Design26393–408
21.
KlostermanR E, 2001, “Planning support systems: a new perspective on computer-aided planning”, in Planning Support Systems: Integrating Geographic Information Systems, Models and Visualization Tools Eds BrailR KKlostermanR E (ESRI, Redlands, CA) pp 1–23
22.
KwartlerMBernardR N, 2001, “Community Viz: an integrated planning support system”, in Planning Support Systems: Integrating Geographic Information Systems, Models and Visualization Tools Eds BrailR KKlostermanR E (ESRI, Redlands, CA) pp 285–308
23.
LeonardiG, 1981, “A unifying framework for public facility location problems—part 1: a critical overview and some unsolved problems”Environment and Planning A131001–1028
24.
LiXYehA, 2000, “Modelling sustainable urban development by the integration of constrained cellular automata and GIS”International Journal of Geographical Information Science14131–152
25.
NarulaS C, 1986, “Minisum hierarchical location-allocation problems on a network: a survey”Annals of Operations Research6257–272
26.
PettitCPullarD, 2004, “A way forward for land-use planing to achieve policy goals by using spatial modeling scenarios”Environment and Planning B: Planning and Design31213–233
27.
RiveiraI SMasedaR C, 2006, “A review of rural land-use planning models”Environment and Planning B: Planning and Design33165–183
28.
RosingK EHillmanE LRosing-VogelaarH, 1979, “The robustness of two common heuristics for the p-median problem”Environment and Planning A11373–380
29.
TeitzM BBartP, 1968, “Heuristic methods for estimating the generalized vertex median of a weighted graph”Operations Research16953–961
30.
TimmermansH J PArentzeT AJohC H, 2002, “Analysing space — time behaviour: New approaches to old problems”Progress in Human Geography26175–190
31.
WhiteREngelenG, 1993, “Cellular automata and fractal urban form: a cellular modeling approach to the evolution of urban land-use patterns”Environment and Planning B: Planning and Design251175–1199
32.
XiangW-NClarkeK C, 2003, “The use of scenarios in land-use planning”Environment and Planning B: Planning and Design30885–909
