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Urban Form, Road Network Type, and Mode Choice for Frequently Conducted Activities

A Multilevel Analysis Using Quasi-Experimental Design Data

Bibliographic Data

ID4143439
AuthorsDanielle Snellen (Urban Planning Group, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands), Aloys Borgers (0000-0002-0340-7629, Urban Planning Group, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands), Harry Timmermans (0000-0002-8737-4632, Urban Planning Group, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands, corresponding author)
Year2002
Volume34
Issue7
Pages1207-1220
Publication date2002-07-01
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning A Economy and Space (JOURNAL)
Journal identifiersISSN: 0308-518X • E-ISSN: 1472-3409
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1068/a349
OpenAlexW2013149542
LanguageEN
Citations received16
References cited13

The question of whether characteristics of urban form influence travel behaviour has a long tradition in transportation and urban planning. Positive evidence has been found, however, that serious methodological objections can be raised against many of these studies. Often no explicit attempt was made to disentangle the effects of spatial characteristics against personal and household characteristics. In addition, if both kinds of variables were included in the analysis, researchers were often not aware of the specific statistical problems that relate to the fact that the observations are made at different levels of aggregation. In this paper, therefore, the authors adopt a multilevel analysis to examine the relationship between urban form and travel behaviour

Econometrics · Machine learning · Mode choice · Multilevel model · Public transport · Statistical analysis · Statistics · Transport engineering · Travel behavior · Computer Science · Economic and Environmental Valuation · Engineering · Mathematics · Psychology · Spatial and Panel Data Analysis · Urban Transport and Accessibility

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Citations per year0.73
Citation span2004 - 2024 (21)
Highly citedNo

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