Journal article
Identifying bus stop redundancy: A gis-based spatial optimization approach
Computers, environment and urban systems, v 36(5), pp 445-455
01 Sep 2012
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
► A Spatial Interaction Coverage (SIC) model is used for transit planning. ► SIC presents an alternative modeling tool to increase system efficiency while maintaining suitable access coverage. ► Model parameters (access distance and facility attraction) are calibrated through consultations with local transit planners. ► Simulated annealing heuristic is developed within a GIS to solve this non-linear problem.
Transit planners are often faced with a tradeoff between improving accessibility through the addition of stops while simultaneously increasing efficiency so that destinations can be reached in a reasonable amount of time. In this paper, we propose the development of an optimization framework integrated within a Geographical Information System (GIS) for addressing this specific problem. Our proposed modeling framework departs from well-known facility location coverage models by considering both the impact of walking distance from an individual residential location to a stop and the transit facility attractiveness (ease to cross, number of destinations served). Integration within a GIS environment is accomplished using a simulated annealing heuristic. An example on an inbound urban bus route illustrates the utility of the approach for transit planning, using model parameters developed in collaboration with local transit agencies.
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Details
- Title
- Identifying bus stop redundancy: A gis-based spatial optimization approach
- Creators
- Eric M. Delmelle - University of North Carolina at CharlotteShuping Li - Environmental Systems Research InstituteAlan T. Murray - Arizona State University
- Publication Details
- Computers, environment and urban systems, v 36(5), pp 445-455
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative
- Web of Science ID
- WOS:000308904300008
- Scopus ID
- 2-s2.0-84864779301
- Other Identifier
- 991021874549804721
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InCites Highlights
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Engineering, Environmental
- Environmental Studies
- Geography
- Operations Research & Management Science
- Regional & Urban Planning