Optimizing urban land use allocation for planners and real estate developers

Abstract In this paper, we use genetic algorithm based optimization models for urban land use allocation. We consider a multi-objective function for the planners, which simultaneously maximizes land prices and reduces incompatibility among adjacent land uses for an area. Land price of each and every plot of real estate developer is also optimized in response to the rules set by city development authorities. The differences in opinions of these two stakeholders are highlighted for a case study area of Bangladesh. The ultimate goal is to look for a computationally easy and efficient tool for generating and evaluating feasible land use plans to facilitate the allocation decision.

[1]  Yasushi Asami,et al.  Influence of lot size and shape on redevelopment projects , 2007 .

[2]  R. Church,et al.  Sustainable Urban Land Use Allocation With Spatial Optimization , 2005 .

[3]  Yasushi Asami,et al.  Optimizing Urban Land-Use Allocation: Case Study of Dhanmondi Residential Area, Dhaka, Bangladesh , 2011 .

[4]  R Sharpe,et al.  Urban land use planning , 1988 .

[5]  J. Geoghegan.  The value of open spaces in residential land use , 2002 .

[6]  Ron Janssen,et al.  Evaluating Spatial Design Techniques for Solving Land-use Allocation Problems , 2005 .

[7]  Elisa T. Bertuzzo.  Fragmented Dhaka: Analysing everyday life with Henri Lefebvre's Theory of Production of Space , 2009 .

[8]  Theodor J. Stewart,et al.  A genetic algorithm approach to multiobjective land use planning , 2004, Comput. Oper. Res..

[9]  Alison J. Heppenstall,et al.  Genetic Algorithm Optimisation of An Agent-Based Model for Simulating a Retail Market , 2007 .

[10]  I. Y. Kim,et al.  Adaptive weighted-sum method for bi-objective optimization: Pareto front generation , 2005 .

[11]  G. Heuvelink,et al.  Using Linear Integer Programming for Multi-Site Land-Use Allocation , 2003 .

[12]  Wang Jiang-Ping,et al.  Urban planning decision using multi-objective optimization algorithm , 2009, 2009 ISECS International Colloquium on Computing, Communication, Control, and Management.

[13]  Feng Liu,et al.  Land-use spatial optimization based on PSO algorithm , 2011, Geo spatial Inf. Sci..

[14]  Steven A. Gabriel,et al.  A multiobjective optimization approach to smart growth in land development , 2006 .

[15]  J. McLaughlin.  Urban Land Use Planning, 5th ed., P.R. Berke, D.R. Godschalk, E.J. Kaiser, D.A. Rodriguez. University of Illinois Press, Champaign, IL (2006), US$ 75.00, Hardback, ISBN: 9780252030796 , 2009 .

[16]  J. Crisp,et al.  The Delphi method? , 1997, Nursing research.

[17]  Theodor J. Stewart,et al.  Using Simulated Annealing and Spatial Goal Programming for Solving a Multi Site Land Use Allocation Problem , 2003, EMO.

[18]  W. Loonen,et al.  Spatial Optimization in Land-use Allocation Problems , 2007 .

[19]  Pavlos S. Kanaroglou,et al.  A tool for evaluating urban sustainability via integrated transportation and land use simulation models , 2009 .

[20]  Colin R. Reeves,et al.  Genetic Algorithms—Principles and Perspectives , 2002, Operations Research/Computer Science Interfaces Series.

[21]  John W. Nicklow,et al.  Evaluating Optimal Detention Pond Locations at a Watershed Scale , 2007 .

[22]  Gerard B. M. Heuvelink,et al.  Using simulated annealing for resource allocation , 2002, Int. J. Geogr. Inf. Sci..

[23]  A. Messac,et al.  Generating Well-Distributed Sets of Pareto Points for Engineering Design Using Physical Programming , 2002 .

[24]  Majid Hamrah,et al.  Allocation of urban land uses by Multi-Objective Particle Swarm Optimization algorithm , 2013, Int. J. Geogr. Inf. Sci..

[25]  Richard L. Church,et al.  Spatial optimization as a generative technique for sustainable multiobjective land‐use allocation , 2008, Int. J. Geogr. Inf. Sci..