Using Pedestrian Count Models to Estimate Urban Trail Traffic
Patrick Lindsey and
Greg Lindsey
Journal of Regional Analysis and Policy, 2004, vol. 34, issue 01, 18
Abstract:
Many cities are developing multiuse urban greenway trails to be used for recreation, exercise, and transportation. Analysts need many kinds of data about these new trails, but especially trail traffic because of its implications for the efficient allocation of resources for trail management. This paper addresses this need by presenting new information about the use of trails. We adapt and test the validity of a previously reported model that predicts hourly pedestrian crosswalk volume from shorter sampling intervals, and we apply the model to greenway trails. Based on 166 hours of data collection on an Indianapolis, Indiana trail system, we develop expansion equations for sampling intervals of five, ten, fifteen, and thirty minutes. We find that both the equations from the previous study and our new equations provide reasonably accurate hourly predictions. Trail managers can use these findings to make decisions about current trail maintenance and promotion.
Keywords: Community/Rural/Urban Development; Research and Development/Tech Change/Emerging Technologies (search for similar items in EconPapers)
Date: 2004
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://ageconsearch.umn.edu/record/132274/files/04-1-4.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:jrapmc:132274
DOI: 10.22004/ag.econ.132274
Access Statistics for this article
More articles in Journal of Regional Analysis and Policy from Mid-Continent Regional Science Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().