Abstract
This study applies logistic regression to analyze the pedestrian-vehicle crashes that were reported by the Transport Department and the police during 1991-2004, and to explore the influence of the demographic characteristics of the pedestrians involved, causes of accident, time of crash, accident location, presence of traffic control, road geometry, and environment on accidents that involve pedestrian casualties. We also control for the temporal effect by introducing time variates that account for the effect of changes in road infrastructure, traffic environment, and flow pattern over the concerned period. Both disaggregated and aggregated analyses are performed, and the accident characteristics, time of crash, accident location, traffic condition, and road geometry are found to be significant contributory factors to death and serious injury in a pedestrian-vehicle crash.
| Original language | English |
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| Title of host publication | Transportation and the Economy - Proceedings of the 10th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2005 |
| Pages | 481-489 |
| Number of pages | 9 |
| Publication status | Published - 2005 |
| Event | 10th International Conference of Hong Kong Society for Transportation Studies: Transportation and the Economy, HKSTS 2005 - Kowloon, Hong Kong Duration: 10 Dec 2005 → 10 Dec 2005 |
Publication series
| Name | Transportation and the Economy - Proceedings of the 10th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2005 |
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Conference
| Conference | 10th International Conference of Hong Kong Society for Transportation Studies: Transportation and the Economy, HKSTS 2005 |
|---|---|
| Country/Territory | Hong Kong |
| City | Kowloon |
| Period | 10/12/05 → 10/12/05 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Injury severity
- Logistic regression
- Pedestrian casualties
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