Exploring Factors Contributing to Crash Injury Severity in the Rural-Urban Fringe of the Central City
To analyze the risk factors influencing the crash injury severity in rural-urban fringes, crash data in rural-urban fringes were collected from Harbin, China. Four risk factors, namely, time of day, vehicle type, road feature, and crash type, were investigated associated with the severity of rural-u...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2021/8453465 |
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| author | Biao Wu Xingyu Wang Tuo Liu Naibao Dong Yun Li |
| author_facet | Biao Wu Xingyu Wang Tuo Liu Naibao Dong Yun Li |
| author_sort | Biao Wu |
| collection | DOAJ |
| description | To analyze the risk factors influencing the crash injury severity in rural-urban fringes, crash data in rural-urban fringes were collected from Harbin, China. Four risk factors, namely, time of day, vehicle type, road feature, and crash type, were investigated associated with the severity of rural-urban fringe crashes. The crash injury severity was divided into two categories, including fatal and nonfatal crash. The logistic regression was applied to explore the relationships between the severity outcomes and time of day, vehicle type, road feature, and crash type. The test methods of goodness-of-fit and badness-of-fit are conducted to examine the validity of estimation results. The results show considerable matching of the number of different crash types between calculated results and actual data. Compared with the other influencing factors, the time of day is significant factor for crash injury severity based on the study. As such, the proposed calibration procedure and the factors of choice are recommended as a validated approach to analyze and identify the main factors influencing crash injury severity in rural-urban fringes. |
| format | Article |
| id | doaj-art-3535f5f747544c59b483b664057144fd |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-3535f5f747544c59b483b664057144fd2025-02-03T01:04:32ZengWileyJournal of Advanced Transportation0197-67292042-31952021-01-01202110.1155/2021/84534658453465Exploring Factors Contributing to Crash Injury Severity in the Rural-Urban Fringe of the Central CityBiao Wu0Xingyu Wang1Tuo Liu2Naibao Dong3Yun Li4School of Automobile and Traffic Engineering, Heilongjiang Institute of Technology, Harbin 150050, ChinaSchool of Automobile and Traffic Engineering, Heilongjiang Institute of Technology, Harbin 150050, ChinaSchool of Automobile and Traffic Engineering, Heilongjiang Institute of Technology, Harbin 150050, ChinaResearch Center of Transportation Information and Science of Heilongjiang Province, Harbin 150080, ChinaSchool of Automobile and Transportation Engineering, Guangdong Polytechnic Normal University, Guangzhou 510665, ChinaTo analyze the risk factors influencing the crash injury severity in rural-urban fringes, crash data in rural-urban fringes were collected from Harbin, China. Four risk factors, namely, time of day, vehicle type, road feature, and crash type, were investigated associated with the severity of rural-urban fringe crashes. The crash injury severity was divided into two categories, including fatal and nonfatal crash. The logistic regression was applied to explore the relationships between the severity outcomes and time of day, vehicle type, road feature, and crash type. The test methods of goodness-of-fit and badness-of-fit are conducted to examine the validity of estimation results. The results show considerable matching of the number of different crash types between calculated results and actual data. Compared with the other influencing factors, the time of day is significant factor for crash injury severity based on the study. As such, the proposed calibration procedure and the factors of choice are recommended as a validated approach to analyze and identify the main factors influencing crash injury severity in rural-urban fringes.http://dx.doi.org/10.1155/2021/8453465 |
| spellingShingle | Biao Wu Xingyu Wang Tuo Liu Naibao Dong Yun Li Exploring Factors Contributing to Crash Injury Severity in the Rural-Urban Fringe of the Central City Journal of Advanced Transportation |
| title | Exploring Factors Contributing to Crash Injury Severity in the Rural-Urban Fringe of the Central City |
| title_full | Exploring Factors Contributing to Crash Injury Severity in the Rural-Urban Fringe of the Central City |
| title_fullStr | Exploring Factors Contributing to Crash Injury Severity in the Rural-Urban Fringe of the Central City |
| title_full_unstemmed | Exploring Factors Contributing to Crash Injury Severity in the Rural-Urban Fringe of the Central City |
| title_short | Exploring Factors Contributing to Crash Injury Severity in the Rural-Urban Fringe of the Central City |
| title_sort | exploring factors contributing to crash injury severity in the rural urban fringe of the central city |
| url | http://dx.doi.org/10.1155/2021/8453465 |
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