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- W830373444 abstract "Local policies such as zoning changes or parking regulations are often implemented to different degrees across city neighborhoods. City investments in infrastructure are almost never spatially uniform. Even policies that are implemented uniformly across a city will illicit different behavioral responses from residents based on differences in the existing built environment. It is important for city decision makers to understand how residents in different neighborhoods may respond differentially to these policies and investments. Despite this spatial heterogeneity, statistical model results such as estimated elasticities and marginal effects are usually presented as if they were uniform across space. If the data are spatially referenced, however, statistical model estimates can be used in conjunction with geographic information system (GIS) technology to obtain spatially-differentiated results. Spatially-explicit policy scenario analyses can also be conducted, and the results of these analyses can be displayed in an easily accessible map format. This paper demonstrates the power of this methodology using GIS and a discrete choice model of New York City residents' choices of residential location, car ownership status, and commute mode. A spatial representation of the results of this model is presented. A number of potential policy scenarios are then simulated using this combined discrete choice-GIS mapping tool, illustrating the spatial variation in behavioral response to changes in a number of independent variables in the discrete choice model." @default.
- W830373444 created "2016-06-24" @default.
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- W830373444 date "2007-01-01" @default.
- W830373444 modified "2023-09-28" @default.
- W830373444 title "Spatial Scenario Analysis Using Discrete Choice Models with GIS: Case Study of Transport Choices in New York City" @default.
- W830373444 hasPublicationYear "2007" @default.
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