Literature DB >> 8579697

Spatial analysis of Honolulu motor vehicle crashes: I. Spatial patterns.

N Levine1, K E Kim, L H Nitz.   

Abstract

This study describes spatial patterns in Honolulu motor vehicle accidents for 1990. A method for geo-coding accident locations is utilized with approximately 98% of the crash locations being identified. Spatial software tools are developed for describing the degree of spatial concentration. The spatial patterns of different types of accidents and accidents for every hour of the day, weekdays and weekends separately, are analyzed. Accidents spatially fluctuate dynamically, as a response to changing traffic patterns and volume. Generally, most accidents are closer to employment centers than to residential areas. In the suburban and rural areas, however, accidents are more likely to involve fatalities or serious injuries and be related to night-time driving and alcohol. It is shown that these conditions spatially correlate with single-vehicle crashes and crashes with opposite direction vehicles. The spatial patterns point to the limits of "blackspot" analysis.

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Year:  1995        PMID: 8579697     DOI: 10.1016/0001-4575(95)00017-t

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  2 in total

1.  Spatial patterns in vegetation fires in the Indian region.

Authors:  Krishna Prasad Vadrevu; K V S Badarinath; Eaturu Anuradha
Journal:  Environ Monit Assess       Date:  2007-12-15       Impact factor: 2.513

2.  Predicting and Interpreting Spatial Accidents through MDLSTM.

Authors:  Tianzheng Xiao; Huapu Lu; Jianyu Wang; Katrina Wang
Journal:  Int J Environ Res Public Health       Date:  2021-02-03       Impact factor: 3.390

  2 in total

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