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Geospatial data science approaches for transport demand modeling


Navidi, Zahra; Das, Rahul Deb; Winter, Stephan (2018). Geospatial data science approaches for transport demand modeling. In: Karimi, Hassan A; Karimi, Bobak. Geospatial data science techniques and applications. Boca Raton: CRC Press, 177-204.

Abstract

Modeling transport-the phenomenon of people or goods moving in vehicles in space and time and being constrained in that movement by transport networks-is inherently related to geospatial data (Miller and Shaw 2001, 2015). People, goods, and vehicles are located somewhere at any time, in relation to each other as well as in relation to various mode-specific transport networks; they are coming from some location and heading to another location within some time constraints. The movements of people and goodscollectively defining the transport demand-can be solitary or shared, but are neither independent of each other, nor independent of the vehicles, which are defining the transport supply. In addition to the factors of space and time, economic, social, and individual factors also determine choice and behavior. That is why transport has long been recognized as a complex system and, as such, hard to model.

Abstract

Modeling transport-the phenomenon of people or goods moving in vehicles in space and time and being constrained in that movement by transport networks-is inherently related to geospatial data (Miller and Shaw 2001, 2015). People, goods, and vehicles are located somewhere at any time, in relation to each other as well as in relation to various mode-specific transport networks; they are coming from some location and heading to another location within some time constraints. The movements of people and goodscollectively defining the transport demand-can be solitary or shared, but are neither independent of each other, nor independent of the vehicles, which are defining the transport supply. In addition to the factors of space and time, economic, social, and individual factors also determine choice and behavior. That is why transport has long been recognized as a complex system and, as such, hard to model.

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Additional indexing

Item Type:Book Section, not_refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Scopus Subject Areas:Physical Sciences > General Computer Science
Physical Sciences > General Engineering
Physical Sciences > General Earth and Planetary Sciences
Language:English
Date:2018
Deposited On:20 Dec 2017 16:12
Last Modified:13 May 2020 22:01
Publisher:CRC Press
ISBN:978-1-138-62644-7
OA Status:Closed
Publisher DOI:https://doi.org/10.1201/b22052
Related URLs:https://www.crcpress.com/Geospatial-Data-Science-Techniques-and-Applications/Karimi-Karimi/p/book/9781138626447 (Publisher)

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