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Scientific Article details

Title Do the mobility patterns for city taxicabs impact road safety?
ID_Doc 40908
Authors Mukherjee, S; Jain, T
Title Do the mobility patterns for city taxicabs impact road safety?
Year 2021
Published Iise Transactions, 53, 12
DOI 10.1080/24725854.2021.1914879
Abstract Recently, large investments have been made by cities such as Singapore, New York City, and London towards creating smart city initiatives in the areas of traffic safety enhancement and higher mobility. In this article, we investigate the impact of various network topology measures on the number of vehicle crashes in a city mobility network. Extant literature on mobility in city traffic networks has not studied the impact of network structure on road accidents. We fill this important gap by identifying the structural properties of critical zones in the city traffic network, which have a high risk of vehicle crashes. We use econometric methods to analyze a large dataset on city mobility from the New York Taxi and Limousine Commission, and a dataset on motor vehicle collisions from the New York Police Department; and derive various insights on the scope of traffic safety issues in a smart city. Our dataset has information on about 100,000,000 taxi trips over the year 2018. In this year, around 1,500,000 vehicle crash events were reported in New York City. One would expect that due to a large number of shortest paths, the number of accidents should be significantly more in the high betweenness centrality zones in the traffic mobility network. However, our analysis reveals that zones with high betweenness centrality tend to have a lower number of accidents. Furthermore, zones with a high degree centrality in the traffic mobility network are associated with a higher number of vehicle crash incidents. Our study reveals some crucial pointers for smart city policymakers and the operations managers of ride-sharing companies on how information on the mobility patterns of the high accident risk zones can be leveraged to reduce motor vehicle collisions.
Author Keywords Smart city operations; road safety; New York City cabs mobility network; betweenness centrality; degree centrality
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
EID WOS:000661411900001
WoS Category Engineering, Industrial; Operations Research & Management Science
Research Area Engineering; Operations Research & Management Science
PDF https://figshare.com/articles/journal_contribution/Do_the_mobility_patterns_for_city_taxicabs_impact_road_safety_/14449939/1/files/27642322.pdf
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