Literature DB >> 8579698

Spatial analysis of Honolulu motor vehicle crashes: II. Zonal generators.

N Levine1, K E Kim, L H Nitz.   

Abstract

The spatial relationship between activities which generate trips and motor vehicle accidents is examined and applied to the City and County of Honolulu for 1990. A method is described for examining spatial variations in motor vehicle accidents, aggregated into small geographical areas. A spatial lag model is developed which examines the zonal relationship of motor vehicle accidents to population, employment and road characteristics. The resulting model is tested for each hour of the day, weekdays and weekends separately. The predictors of accidents fluctuate according to different trip generating activities and change considerably over the day. The method can generate expected accidents, allowing for an identification of areas which have higher than expected levels. It is argued that this method focuses attention on characteristics of neighborhoods and areas, and not just on the road system.

Mesh:

Year:  1995        PMID: 8579698     DOI: 10.1016/0001-4575(95)00018-u

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


  4 in total

1.  Impacts of confounding roadway characteristics on estimates of associations between alcohol outlet densities and alcohol-related motor vehicle crashes.

Authors:  Robert Lipton; Aniruddha Banerjee; William R Ponicki; Paul J Gruenewald; Christopher Morrison
Journal:  Drug Alcohol Rev       Date:  2020-08-26

2.  Network-constrained spatio-temporal clustering analysis of traffic collisions in Jianghan District of Wuhan, China.

Authors:  Yaxin Fan; Xinyan Zhu; Bing She; Wei Guo; Tao Guo
Journal:  PLoS One       Date:  2018-04-19       Impact factor: 3.240

3.  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

4.  Investigating Spatial Autocorrelation and Spillover Effects in Freeway Crash-Frequency Data.

Authors:  Huiying Wen; Xuan Zhang; Qiang Zeng; Jaeyoung Lee; Quan Yuan
Journal:  Int J Environ Res Public Health       Date:  2019-01-14       Impact factor: 3.390

  4 in total

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