A brief discussion on the treatment of spatial correlation in multinomial discrete models
Spatial dependence plays a key role in all phenomena involving the geographic space, such as the social processes associated with transport and land use. Nevertheless, spatial dependence in multinomial discrete models has not received the same level of attention as have the other kinds of correlations in the discrete modeling literature, mainly due to the complexity of its treatment. This paper aims at offering a brief discussion on the different kinds of spatial correlation affecting multinomial discrete models and the different ways in which spatial correlation has been addressed in the discrete modeling literature. Furthermore, the paper offers a discussion on the advantages and limitations of the different approaches to treat spatial correlation and it also proposes a compromise solution among complexity, computational costs, and realism that can be useful in some specific situations.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/19387849
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Supplemental Notes:
- © 2021 Francisco J. Bahamonde-Birke.
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Authors:
- Bahamonde-Birke, Francisco J
- Publication Date: 2021
Language
- English
Media Info
- Media Type: Digital/other
- Features: References;
- Pagination: pp 521-535
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Serial:
- Journal of Transport and Land Use
- Volume: 14
- Issue Number: 1
- Publisher: University of Minnesota, Minneapolis
- ISSN: 1938-7849
- Serial URL: https://www.jtlu.org/index.php/jtlu
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Land use planning; Multinomials; Spatial analysis; Transportation planning
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01786488
- Record Type: Publication
- Files: TRIS
- Created Date: Oct 28 2021 9:14AM