Assessing the Relationship between Transportation Diversity and Road Network Congestion Using Participatory-Sensing Data
ABSTRACTCongestion impacts urban mobility, fuel consumption, and air pollution, so it is a critical societal issue. In this study, we have explored the relationship of transportation diversity—the availability of transportation modes (richness) and their distribution in a community (evenness)—on the traffic jam characteristics represented by congestion duration. In doing so, we have analyzed heterogonous data sources through a case study of the Washington D.C. metropolitan area. The participatory-sensing-based data, collected through Waze, a community-based navigation application, are utilized to examine the spatiotemporal patterns of congestion duration over a period of three months. Transportation diversity is measured at the scale of the zip code tabulation areas. Comparison of zip code tabulation areas regarding their transportation diversity demonstrates that areas with higher congestion duration time generally have limited diversity in their transportation system. The spatiotemporal distribution of these metrics could be used for performance-based planning and prioritizing resource allocation to the most critical areas.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784482445
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Supplemental Notes:
- © 2019 American Society of Civil Engineers 2019
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Rahimi-Golkhandan, Armin
- Khaghani, Farnaz
- Garvin, Michael J.
- Jazizadeh, Farrokh
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Conference:
- ASCE International Conference on Computing in Civil Engineering 2019
- Location: Atlanta Georgia, United States
- Date: 2019-6-17 to 2019-6-19
- Publication Date: 2019
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 420-427
- Monograph Title: Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience
Subject/Index Terms
- TRT Terms: Case studies; Crowdsourcing; Equity; Metrics (Quantitative assessment); Mobile applications; Programming (Planning); Resource allocation; Spatial analysis; Time duration; Traffic congestion; Transportation modes
- Identifier Terms: Waze
- Uncontrolled Terms: Spatiotemporal analysis
- Geographic Terms: Washington (District of Columbia); Washington Metropolitan Area
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Society;
Filing Info
- Accession Number: 01708312
- Record Type: Publication
- ISBN: 9780784482445
- Files: TRIS, ASCE
- Created Date: Jun 25 2019 9:16AM