A Simulation-Statistical Framework for Incorporating Network Topology in Pedestrian Exposure Estimation Models
The main objective of this study is to develop a simulation-statistical framework for incorporating network topological effects on pedestrian exposure. The spatial scope of the study covers downtown Seattle in Washington State, with the temporal scope set at the AM, MD, and PM peak periods with 12 five minute interval time panels each. Pedestrian exposure was estimated through pedestrian densities and time-occupancy on an areal-unit-level, obtained utilizing microsimulation through social force models that integrate area evaluation based on pedestrian dynamics. Network topology measures addressing centrality, clustering, eccentricity, and modularity were estimated through network-graph analysis, and incorporated in the modeling process to analyze their relation to pedestrian exposure. Spatial autoregressive models were developed to estimate pedestrian exposure incorporating network topology, allowing for the capturing of bias due to spatial lag and spatial autocorrelation that could exist in aggregate spatial data. The results from the exposure models showed that network topology measures have considerable impact on pedestrian area density and time-occupancy. It was found that pedestrian exposure can be significantly characterized by community structure in urban streets, network centrality, and degree of nodal importance. Given the complexity in measuring pedestrian density and time occupancy over an entire city over continuous time periods, this study presents an estimation technique that can be used as a guideline to approximate these values using known information.
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Supplemental Notes:
- This paper was sponsored by TRB committee ANF10 Standing Committee on Pedestrians. Alternate title: Simulation-Based Network Topology Framework for Characterizing Pedestrian Exposure in Urban Streets
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Hong, Jungyeol
- Shankar, Venky
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Conference:
- Transportation Research Board 95th Annual Meeting
- Location: Washington DC, United States
- Date: 2016-1-10 to 2016-1-14
- Date: 2016
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Maps; References; Tables;
- Pagination: 18p
- Monograph Title: TRB 95th Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Built environment; Communities; Pedestrian density; Pedestrians; Periods of the day; Simulation; Topology; Urban areas
- Geographic Terms: Seattle (Washington)
- Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01590426
- Record Type: Publication
- Report/Paper Numbers: 16-5522
- Files: TRIS, TRB, ATRI
- Created Date: Feb 17 2016 12:01PM