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학술논문

The Mapping for Relationship between Road Accidents and Traffic Congestion for Expressway Management Decision

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영문명
발행기관
KINFORMS
저자명
S. Sarifah Radiah Shariff Al Dinnul Firdausi Mohamad Ibrahim
간행물 정보
『Management Review: An International Journal』Vol.15 No.1, 73~92쪽, 전체 20쪽
주제분류
사회과학 > 사회과학일반
파일형태
PDF
발행일자
2020.06.30
5,200

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영문 초록

Traffic congestion and road accidents are part of the major transportation problems across the globe. In a developing country like Malaysia, traffic congestion and road accidents are among serious problem that have impacted many sectors namely economic and social sectors. In this study, the relation between traffic congestion and road accidents is explored based on data collected from main expressway in Klang Valley. The objective of this study is to identify the locational pattern between traffic congestion and road accidents (if there is) as well as to propose method of data collection that provides the information. Descriptive analysis and Single Factor ANOVA are used to explore and analyse the primary data set of traffic congestion and the secondary data set on road accidents obtained from the selected Expressway. It is found that heavy traffic congestion occurs the most especially during morning peak hours on weekdays. However, road accident happens randomly at various location and time. From the mapping and test done, it shows there is no significant relation between traffic congestion and road accidents, yet some locations are prone to both traffic congestion and road accidents.

목차

INTRODUCTION
RELATIONSHIP BETWEEN ROAD ACCIDENTS AND TRAFFIC CONGESTION
METHODOLOGY
RESULTS AND DISCUSSION
CONCLUSION

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APA

S. Sarifah Radiah Shariff,Al Dinnul Firdausi Mohamad Ibrahim. (2020).The Mapping for Relationship between Road Accidents and Traffic Congestion for Expressway Management Decision. Management Review: An International Journal, 15 (1), 73-92

MLA

S. Sarifah Radiah Shariff,Al Dinnul Firdausi Mohamad Ibrahim. "The Mapping for Relationship between Road Accidents and Traffic Congestion for Expressway Management Decision." Management Review: An International Journal, 15.1(2020): 73-92

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