A new spatial multiple discrete-continuous modeling approach to land use change analysis.

Details

• Creators:
  Dubey, Subodh K. ; Bhat, Chandra R.
• Corporate Creators:
  Texas A&M Transportation Institute
• Corporate Contributors:
  University Transportation Centers Program (U.S.)
• Subject/TRT Terms:
  • Land use models
  • Spatial analysis
  • Urban development
  • Econometric models
  • Maximum likelihood method
  • Land use planning
• Publication/ Report Number:
  SWUTC/13/600451-00063-1
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  Southwest Region University Transportation Center (U.S.)
• Abstract:
  This report formulates a multiple discrete-continuous probit (MDCP) land-use model within a ; spatially explicit economic structural framework for land-use change decisions. The spatial ; MDCP model is capable of predicting both the type and intensity of urban development patterns ; over large geographic areas, while also explicitly acknowledging geographic proximity-based ; spatial dependencies in these patterns. At a methodological level, the report focuses on ; specifying and estimating a spatial MDCP model that allows the dependent variable to exist in ; multiple discrete states with an intensity associated with each discrete state. The formulation ; also accommodates spatial dependencies, as well as spatial heterogeneity and heteroscedasticity, ; in the dependent variable, and should be applicable in a wide variety of fields where social and ; spatial dependencies between decision agents (or observation units) lead to spillover effects in ; multiple discrete-continuous choices (or states). A simulation exercise is undertaken to evaluate ; the ability of the proposed maximum approximate composite marginal likelihood (MACML) ; approach to recover parameters from a cross-sectional spatial MDCP model. The results show ; that the MACML approach does well in recovering parameters. An empirical demonstration of ; the approach is undertaken using the city of Austin parcel level land use data.
  More +
• Format:
  PDF
• Funding:
  DTRT12-G-UTC06
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/26651/dot_26651_DS1.pdf
• File Type:
  [PDF - 1.85 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha256:daba26a199aa7c999060d5404893a0f86b88e31caf258737ead8f7b0d238c58b