Development of a temporal and spatial linkage between transit demand and land-use patterns
Mark Hickman () and
Daoqin Tong ()
Additional contact information
Sanggu Lee: University of Arizona
Mark Hickman: University of Arizona, Postal: University of Arizona, Civil Engineering Building, Room 214B, 1209 E. Second Street, P.O. Box 210072, Tucson, AZ 85721-0072, http://www.u.arizona.edu/~mhickman/
Daoqin Tong: University of Arizona, http://geography.arizona.edu/user/179
The Journal of Transport and Land Use, 2013, vol. 6, issue 2, 33-46
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.
Keywords: public transit; land use (search for similar items in EconPapers)
JEL-codes: R40 (search for similar items in EconPapers)
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