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Quantifying Spatial Characteristics of Cities

Bibliographic Data

ID10859617
AuthorsSumeeta Srinivasan (Harvard University, corresponding author)
Year2002
Volume39
Issue11
Pages2005-2028
Publication date2002-10-01
Open AccessYes
TypeARTICLE
VenueUrban Studies (JOURNAL)
Journal identifiersISSN: 0042-0980 • E-ISSN: 1360-063X
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1080/0042098022000011335
OpenAlexW2054668092
LanguageEN
Citations received14
References cited20

Land-use initiatives represent a potentially effective tool for coping with the kinds of mobility pattern that North American cities faced in the 1990s and still face in the present century. As fine-grained data about land use and travel activity become available, they provide the opportunity to improve our understanding of the linkage between land use and transport. This paper examines in detail the neighbourhood characteristics that could affect mode choice on the work and non-work tour. Neighbourhood characteristics include land use, network and accessibility-related characteristics which are quantified through the use of geographical information systems (GIS). Ultimately, such measures could be used in conjunction with detailed surveys of travel behaviour to specify, calibrate and use models of modal choice and residential choice that are more sensitive to the fine-grained spatial structure of neighbourhoods and transport corridors in metropolitan areas. Micro-level data for the Boston metro area, together with a 1991 activity survey of approximately 10 000 residents, provide a rich empirical basis for experimenting with relevant neighbourhood measures and for simulating the effects on travel behaviour. We find that spatial characteristics do affect mode choice, both for the relatively (spatially) restricted non-work tour and the work tour

Civil engineering · Geography · Land use · Metropolitan area · Modal · Mode choice · Neighbourhood (mathematics · Public transport · Regional science · Survey data collection · Transport engineering · Travel behavior · Travel survey · Work (physics · Computer Science · Engineering · Transportation Planning and Optimization · Urban and Freight Transport Logistics · Urban Transport and Accessibility

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Citations per year0.64
Citation span2004 - 2020 (17)
Highly citedNo

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