Co-evolution of Transportation and Land Use: Modeling Historical Dependencies in Land Use and Transportation Decision Making
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2009-11-01
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Edition:Final report.
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Abstract:The interaction between land use and transportation has long been the central issue in urban and regional planning. Models of such ; interactions provide vital information to support many public policy decisions, such as land supply, infrastructure provision, and growth ; management. Both the transportation and land use systems exhibit historical dependencies in policy decisions. For instance, the expansion of a ; roadway today will change travel demand patterns, and make certain other roads more or less likely to be expanded in the future. A specific land ; supply decision made at one point in time, by changing the relative attractiveness of other areas in the region, can have a profound impact on ; future land supply decisions. Today’s land use decisions clearly influence future transportation policies and vice versa. ; This project examines the land use-transportation interaction from an evolutionary perspective — once a certain set of goals are determined and ; pursued by politicians and planners, their land supply and transportation investment decisions are, to a large extent, driven by their previous ; decisions and supply-demand dynamics in the urban system. Built upon this recognition of historical dependency and a transportation network ; growth model previously developed by the P.I., a model of the co-evolution of land use and transportation is proposed in this project. Different ; from existing integrated land use and transportation models that assume exogenous network investment decisions, the co-evolution model ; considers both land use growth and transportation network growth as endogenous and market-driven. The central research question is how market ; and policies translate into transportation facilities and land use developments on the ground. The co-evolution model achieves an Urban Growth ; Equilibrium, which is a useful concept for planning and policy analysis. An agent-based simulation approach is employed to integrate an existing ; land use model and the transportation network growth model.
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Main Document Checksum:urn:sha-512:4c592f9537802e9d2864f4a23602c6fa6aeefd8c2e964c7f3dea1683a3f7b2cb32f399cefe5fdc754245d5924ec3d11dd759f1cb1cbf44217f933f2e8d3d6ff3