A Study of the Causes of injury of On-Street Parking Patrolmen: A Case Study of New Taipei City
Date Issued
2012
Date
2012
Author(s)
Chen, Chien-Cheng
Abstract
Currently in Taiwan, on-street parking fee issuing is commonly conducted by patrolmen, issuing fee notices with PDAs. These patrolmen walk or ride a bicycle or motorcycle to the sections where parking is charged. Accidents frequently happen to patrolmen due to their long exposure to traffic flows. This study analyzed and discussed the injury cases of patrolmen to understand the correlation between the causes and the degree of injury, hoping to offer local governments some effective ways to reduce injuries of patrolmen in the future.
This study probed into 115 cases of patrolmen who had accidents on duty, recorded by the Transportation Department of New Taipei City Government. Pearson product-moment correlation was adopted to select representative injury cause variables. Poisson Regression Model was utilized to set up optimal model for traffic accidents of patrolmen in New Taipei City. The following variables are positively correlated to the occurrence of accidents: number of lanes, age of patrolmen, patrolling by a motorcycle, time intervals of accidents, and locations of accidents. On the other hand, weather conditions are negatively correlated to the occurrence of accidents. This research found that the possibility of occurrence of accidents would increase when patrolmen were aged over 50, or when patrolmen were riding motorcycles to issue fee notices, or when patrolmen were on the section which was less than two lanes.
The degree of injury was classified into two types according to the number of days that patrolmen asked for leave. Analyzed with Pearson product-moment correlation, factors with significant correlation with the degree of injury are lightness, age of patrolmen, types of accidents, whether the patrolman was standing next to a parking space, and sites of accidents. Again, analyzed with Multinomial Logistic Regression, it showed the following four variables were significantly relevant to the degree of injury: age of patrolmen, lightness, whether the patrolman was standing next to a parking space, and types of accidents. The study also found once an accident happens, four conditions will raise the possibility of patrolmen’s asking for leave for over 5 days. The four conditions are patrolmen aged over 50, obstacle along the roadside, in common daylight and patrolmen passing intersections.
Subjects
patrolmen
correlation
Poisson Regression Model
Elasticity
Multinomial Logistic Regression
Type
thesis
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