Development of a temporal and spatial linkage between transit demand and landuse patterns

Lee, Sang Gu, Hickman, Mark and Tong, Daoqin (2013) Development of a temporal and spatial linkage between transit demand and landuse patterns. Journal of Transport and Land Use, 6 2: 33-46. doi:10.5198/jtlu.v6i2.268

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Author Lee, Sang Gu
Hickman, Mark
Tong, Daoqin
Title Development of a temporal and spatial linkage between transit demand and landuse patterns
Journal name Journal of Transport and Land Use   Check publisher's open access policy
ISSN 1938-7849
Publication date 2013
Sub-type Article (original research)
DOI 10.5198/jtlu.v6i2.268
Open Access Status DOI
Volume 6
Issue 2
Start page 33
End page 46
Total pages 14
Place of publication Minneapolis, MN, United States
Publisher University of Minnesota * Department of Civil Engineering
Collection year 2014
Subject 3322 Urban Studies
3313 Transportation
3305 Geography, Planning and Development
Abstract We are exploring ways to capture the temporal and spatial dimensions of the use of public transit. Specifically, we are investigating how different land uses affect the spatial and temporal demand for public transit services. Spatially, the availability of new data collection technology in public transit allows us to examine transit demand at the individual stop level. Our hypothesis, however, is that transit users' activity may not be originated from or destined to an individual stop per se; rather, the activity is associated with a specific location in the vicinity of the stop, and this location may be "covered" by several adjacent transit stops. More importantly, understanding the transit demand at this aggregate level (an aggregate "catchment" area) can enhance the ability to define a specific land-use type and the temporal characteristics related to passengers' activities. Temporally, we seek to understand the relationship between the demand for public transit service at specific times of the day and the associated land uses that may strongly influence the timing of that demand. To explore these dimensions, this study: 1) proposes a method of stop aggregation; 2) generates transit service areas based on these aggregated stops; 3) develops a set of metrics to better represent land-use types within these service areas; and 4) examines the spatial and temporal characteristics of transit demand for these service areas. These methods are applied to a case study using land-use and transit demand data from the Minneapolis-St. Paul metropolitan area.
Keyword Smart card data
Transit and land use
Transit service areas
Transit stop aggregation
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Civil Engineering Publications
Official 2014 Collection
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Citation counts: Scopus Citation Count Cited 4 times in Scopus Article | Citations
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Created: Thu, 28 Nov 2013, 18:07:07 EST by System User on behalf of Examinations