TY - JOUR
T1 - Analyzing driving environment factors in pedestrian crashes injury levels in Jakarta and the surrounding cities
AU - Siregar, Martha Leni
AU - Jachrizal Sumabrata, R.
AU - Kusuma, Andyka
AU - Samosir, Omas Bulan
AU - Rudrokasworo, Silvanus Nohan
N1 - Publisher Copyright:
© 2019 Institut za Istrazivanja. All rights reserved.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Pedestrian-vehicle crashes are the results of a combination of influencing factors including the driving enviroment. This paper looks into the driving environment factors in pedestrian crashes injury levels on road links in Jakarta and the surounding cities which contribute to the city traffic generation. The vehicle-pedestrian accident data used were obtained from the 2016 Indonesian national police accident database covering 4,646 pedestrian accidents on road links from Jakarta, Depok, Tangerang Selatan, Tangerang and Bekasi, Indonesia. Various factors were analyzed including crash level severity, month of occurrence, weather condition, lighting condition, road function, road class, road type, road surface condition and road status. As injury levels were categorized into slight injury, severe injury and fatal injury and it was assumed that the dependent variables which were crash injury levels could not be perfectly predicted from the independent variables, Multinomial logistic regression (MNL) was used in the analysis to predict the probability of different categories of dependent variables. It was found that the relative risks of pedestrian accident risks factors changed with different categories both in terms of fatal and severe injuries. One of the findings shows that the risk of having severe injuries would decrease by 40.2% on national roads, by 70.5% on provincial roads and by 53.5% on urban roads. The results can be expected to be referred to in the improvement of pedestrian safety level and in the development of related measures.
AB - Pedestrian-vehicle crashes are the results of a combination of influencing factors including the driving enviroment. This paper looks into the driving environment factors in pedestrian crashes injury levels on road links in Jakarta and the surounding cities which contribute to the city traffic generation. The vehicle-pedestrian accident data used were obtained from the 2016 Indonesian national police accident database covering 4,646 pedestrian accidents on road links from Jakarta, Depok, Tangerang Selatan, Tangerang and Bekasi, Indonesia. Various factors were analyzed including crash level severity, month of occurrence, weather condition, lighting condition, road function, road class, road type, road surface condition and road status. As injury levels were categorized into slight injury, severe injury and fatal injury and it was assumed that the dependent variables which were crash injury levels could not be perfectly predicted from the independent variables, Multinomial logistic regression (MNL) was used in the analysis to predict the probability of different categories of dependent variables. It was found that the relative risks of pedestrian accident risks factors changed with different categories both in terms of fatal and severe injuries. One of the findings shows that the risk of having severe injuries would decrease by 40.2% on national roads, by 70.5% on provincial roads and by 53.5% on urban roads. The results can be expected to be referred to in the improvement of pedestrian safety level and in the development of related measures.
KW - Drive
KW - Driving environment risk factors
KW - Injury
KW - Lighting
KW - MNL
KW - Pedestrian crash severity
KW - Pedestrian-vehicle crash
KW - Road function
KW - Variability
UR - http://www.scopus.com/inward/record.url?scp=85076548983&partnerID=8YFLogxK
U2 - 10.5937/jaes17-22121
DO - 10.5937/jaes17-22121
M3 - Article
AN - SCOPUS:85076548983
SN - 1451-4117
VL - 17
SP - 482
EP - 489
JO - Journal of Applied Engineering Science
JF - Journal of Applied Engineering Science
IS - 4
ER -