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http://dx.doi.org/10.7470/jkst.2018.36.3.195

Impact of Jobs-housing Balance on Traffic Safety  

KIM, Tae Yang (Department of Urban Engineering, Chungbuk National University)
PARK, Byung Ho (Department of Urban Engineering, Chungbuk National University)
Publication Information
Journal of Korean Society of Transportation / v.36, no.3, 2018 , pp. 195-202 More about this Journal
Abstract
Jobs-housing balance refers to the situations where the employment (work) and housing (house) opportunity are coincided in certain geographical area. This paper aims to examine the impact of jobs-housing balance to traffic safety. In pursuing the above, this paper particularly focuses on modeling the traffic accidents by metropolitan area. The main results are as follows. First, three generalized linear models which are all statistically significant are developed. Jobs-housing balance factors are judged to significantly influence on traffic accidents in all models. Second, among common variables, the housing supply rate is analyzed to impact to decreasing, and economically active population and commuting trip attraction are analyzed to impact to increasing. Hence, the alleviation of jobs-housing mismatch is evaluated to be important. Finally, the jobs-housing and business trip rates in Seoul metropolitan area, and the cross-commuting rate in Busan-Ulsan metropolitan area are judged to be essential to transportation safety policies
Keywords
cross-commuting rate; generalized linear model; jobs-housing balance; metropolitan area; traffic safety;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 Do C. W., Kim H. S., Kim K. W., Lee S. B., Cho H. J. (2013), Traffic Safety Engineering, 2-19.
2 Eh H. N., Lee H. Y. (2014), Changes of Trip Patterns and Job-Housing Mismatch of Busan Metropolitan Area, Journal of the Korean Urban Geographical Society, 17(1), 1-14.   DOI
3 Kim K. Y., Beak T. H., Lim J. K., Park B. H. (2015), Traffic Accident Density Models Reflecting the Characteristic of the Traffic Analysis Zone in Cheongju, International Journal of Highway Engineering, 17(6), 75-83.   DOI
4 Lee J. Y., Abdel-Aty M., Cai Q. (2017), Intersection Crash Prediction Modeling with Macro-level Data from Various Geographic Units, Accident Analysis and Prevention, 102, 213-226.   DOI
5 Park C. Y., Lee S. G. (2016), An Analysis of the Characteristics of Street Environment Affecting Pedestrian Accidents - Applications of Street Segment Analysis Unit and Spatial Statistics, Journal of the Urban Design, 17(3), 105-121.
6 Park J. S., Oh J. T., Oh S. J., Kim Y. J. (2016), Analysis of Contributory Factors in Causing Crashes at Rural Unsignalized intersections Based on Statistical Modeling, J. Korean Soc. Transp., 34(2), Korean Society of Transportation, 123-134.   DOI
7 Park N. Y., Park B. H. (2017), Regional Traffic Accident Model Based on Urban Decline Index, Journal of Korea Planning Association, 52(4), 89-98.
8 Pulugurtha SS., Duddu VR., Kotagiri Y. (2013), Traffic Analysis Zone Level Crash Estimation Models Based on Land Use Characteristics, Accident Analysis and Prevention, 50, 678-687.   DOI
9 Son S. H. (2014), The Changes of Job-Housing Balance and Commuting Trip in Seoul Metropolitan Area: 2005-2010, Journal of the Korean Geographical Society, 49(3), 390-404.
10 Xu C., Li H., Zhao J., Chen J., Wang W. (2017), Investigating the Relationship Between Jobs-housing Balance and Traffic Safety, Accident Analysis and Prevention, 107, 126-136.   DOI