Determination of Black Site Area Based on Equivalent Accident Number Analysis: Case Study National Roads in Ambon City
Author(s) -
Lenora Leuhery,
Hamkah Hamkah
Publication year - 2020
Publication title -
civil engineering and architecture
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.156
H-Index - 4
eISSN - 2332-1121
pISSN - 2332-1091
DOI - 10.13189/cea.2020.080533
Subject(s) - transport engineering , black spot , carelessness , speed limit , pedestrian , pedestrian crossing , geography , carriageway , road accident , statistical analysis , computer science , statistics , engineering , mathematics , horticulture , biology
This study was conducted to determine accident-prone areas (black sites) on national roads in Ambon City using the Equivalent Accident Number (EAN) and Upper Control Limit (UCL) criteria. Primary data was obtained by direct survey. Meanwhile, secondary data was obtained from various sources related to the number of traffic accidents in Ambon City. The data were analyzed using simple statistical methods and tabulated based on the number of accidents in 2019. The analysis results showed that the high severity of traffic accidents in Ambon City was 91.95% caused by driver behavior factors. Three other factors that cause traffic accidents include drunkenness, carelessness, and drowsiness. The study results showed five black site areas on national roads in Ambon City based on EAN value higher than the UCL value. These locations include roads: Jenderal Sudirman, Pierre Tendean, Wolter Monginsidi, Laksdya Leo Wattimena, and Putuhena. Meanwhile, the Sisingamangaraja road segment has a higher EAN value than the UCL value but not the national road segment (province road segment). Based on these results, several things need to be done to overcome the accident rate. Therefore, national road management agencies and stakeholders, especially those related to the black site area, are advised to: build road medians, add zebra cross-shaped crossing facilities and be equipped with shelters in the road median, complete traffic signs installed with signs that read accident-prone area, build pedestrian protective fences, and traffic management engineering.
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