Title

Multi-level hot zone identification for pedestrian safety

Authors

Authors

J. Lee; M. Abdel-Aty; K. Choi;H. L. Huang

Comments

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Abbreviated Journal Title

Accid. Anal. Prev.

Keywords

Pedestrian safety; Bayesian approach; Spatial error modeling; Gaussian; conditional autoregressive; CAR; Screening; Macroscopic analysis; Poisson lognormal model; Simultaneous equations modeling; SPATIAL-ANALYSIS; STATISTICAL-ANALYSIS; INJURY COLLISIONS; CRASH-FREQUENCY; MODEL; Ergonomics; Public, Environmental & Occupational Health; Social; Sciences, Interdisciplinary; Transportation

Abstract

According to the National Highway Traffic Safety Administration (NHTSA), while fatalities from traffic crashes have decreased, the proportion of pedestrian fatalities has steadily increased from 11% to 14% over the past decade. This study aims at identifying two zonal levels factors. The first is to identify hot zones at which pedestrian crashes occurs, while the second are zones where crash-involved pedestrians came from. Bayesian Poisson lognormal simultaneous equation spatial error model (BPLSESEM) was estimated and revealed significant factors for the two target variables. Then, PSIs (potential for safety improvements) were computed using the model. Subsequently, a novel hot zone identification method was suggested to combine both hot zones from where vulnerable pedestrians originated with hot zones where many pedestrian crashes occur. For the former zones, targeted safety education and awareness campaigns can be provided as countermeasures whereas area-wide engineering treatments and enforcement may be effective safety treatments for the latter ones. Thus, it is expected that practitioners are able to suggest appropriate safety treatments for pedestrian crashes using the method and results from this study. (C) 2015 Elsevier Ltd. All rights reserved.

Journal Title

Accident Analysis and Prevention

Volume

76

Publication Date

1-1-2015

Document Type

Article

Language

English

First Page

64

Last Page

73

WOS Identifier

WOS:000351961500009

ISSN

0001-4575

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