Abstract

This study investigated the spatial and temporal effects of rainfall intensity on traffic crashes in Hong Kong. A geographic information system technique was used to correlate and match data collected at rain gauge stations with the time and location of traffic crashes in 2009. A total of 436 matched-pair datasets were selected to study the spatial and temporal relationships between hourly rainfall intensity and traffic crashes. The first hour of rainfall and the first hour after rain were shown to be the periods with the highest number of traffic crashes. Moreover, hourly periods with average rainfall intensities of 19 and 26 mm were found to have the highest risk, when the increase in the number of crashes per hour was the greatest.

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