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Role of road network features in the evaluation of incident impacts on urban traffic mobility.

Authors :
Sun, Chenshuo
Pei, Xin
Hao, Junheng
Wang, Yewen
Zhang, Zuo
Wong, S.C.
Source :
Transportation Research Part B: Methodological. Nov2018:Part A, Vol. 117, p101-116. 16p.
Publication Year :
2018

Abstract

Highlights • Network features are leveraged to study incident-induced impacts on road networks mobility. • Four network features are extracted to reflect the distinctive functionality of urban intersections. • Incidents impacts are measured in both temporal and spatial dimension. • Temporally, accident delay is significantly correlated with the Betweenness Centrality and K-shell. • Spatially, micro impact and macro impact are found to be strongly associated with the four network features. Abstract In this paper, we seek to investigate the spatiotemporal impacts of traffic incident on urban road networks. The theoretical lens of a complex network leads us to expect that incident impacts are associated with the functionality that an intersection acts in a network, and also, the location of incident sites. Incident impacts are measured in both temporal and spatial dimension through mining the large-scale traffic flow data in conjunction with the incident record. In the complex network context, the urban road network can be converted into a weighted direct graph with intersections as nodes and road segments as edges with their geographic information. Four network features, i.e., Betweenness Centrality, weighted PageRank, Hub, and K-shell are assigned to each intersection to measure its functionality. Temporally, we find out significant correlations between incident delay and two network features by applying hazard-based models. Spatially, the micro impact and the macro impact are found to be strongly associated with three network features through estimating a Bayesian Negative-binomial Conditional Autoregressive model and a generalized linear model, respectively. Our study provides the basis of leveraging urban road network context to evaluate incident impacts, with some explanations, insights and possible extensions that would assist traffic administrations to guide the post-incident resilience and emergency management. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01912615
Volume :
117
Database :
Academic Search Index
Journal :
Transportation Research Part B: Methodological
Publication Type :
Academic Journal
Accession number :
132690335
Full Text :
https://doi.org/10.1016/j.trb.2018.08.013