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Identifying Non-linear Effects of Land Use Patterns on Pedestrian Crash Severity Using XGBoost Decision Tree Model
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Qi-qi LIU1, 2, Chun CHEN1, 3, *, Xin-hui KUANG2
Science Technology and Engineering | 2025, 25(3) : 1253 - 1261
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Science Technology and Engineering | 2025, 25(3): 1253-1261
Papers·Traffics and Transportations
Identifying Non-linear Effects of Land Use Patterns on Pedestrian Crash Severity Using XGBoost Decision Tree Model
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Qi-qi LIU1, 2, Chun CHEN1, 3, *, Xin-hui KUANG2
Affiliations
  • 1. Research Centre for Eco-Habitat and Green Transportation, Chongqing Jiaotong University, Chongqing 400074, China
  • 2. College of Transportation, Chongqing Jiaotong University, Chongqing 400074, China
  • 3. Institute of Intelligent City, Chongqing Jiaotong University, Chongqing 400074, China
Published: 2025-01-28 doi: 10.12404/j.issn.1671-1815.2401726
Outline
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Land use and traffic safety is a hot topic of mutual concern in the fields of urban geography and transportation. However, existing research on the impact of land use on pedestrian traffic accidents often incorporates a unified framework of built environment and mainly adopts measures such as land use mix or the proportion of land use types, lacking detailed analysis on land use types, thus making it difficult to translate their findings into actionable design strategies. Taking Yuzhong District, Chongqing City as an example, the land use types were finely characterized based on point of interest (POI) data, and the extreme gradient boosting (XGBoost) model was applied to explore the nonlinear relationships between land use types, pedestrian, road conditions, road environment, and the severity of pedestrian traffic accidents. The study finds these as follows. ①Land use types play an important role in the severity of pedestrian traffic accidents, with hospitals, residential areas, and educational land being the most influential. The presence of hospitals, residential areas, and educational land within a 300-meter buffer zone around accident sites reduces the severity of pedestrian traffic accidents. ②Road sections with curved and sloped road alignments are high-risk areas for severe pedestrian traffic accidents; entrances and exits of road sections, narrow road sections, and intersections have a mitigating effect on the severity of pedestrian traffic accidents. The findings provide policy insights for refined land use planning and governance to reduce the severity of pedestrian traffic accidents.

land use  /  built environment  /  extreme gradient boosting decision tree (XGBoost)  /  traffic safety
Qi-qi LIU, Chun CHEN, Xin-hui KUANG. Identifying Non-linear Effects of Land Use Patterns on Pedestrian Crash Severity Using XGBoost Decision Tree Model[J]. Science Technology and Engineering, 2025 , 25 (3) : 1253 -1261 . DOI: 10.12404/j.issn.1671-1815.2401726
Year 2025 volume 25 Issue 3
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Article Info
doi: 10.12404/j.issn.1671-1815.2401726
  • Receive Date:2024-03-12
  • Online Date:2025-07-29
  • Published:2025-01-28
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History
  • Received:2024-03-12
  • Revised:2024-06-05
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Affiliations
    1. Research Centre for Eco-Habitat and Green Transportation, Chongqing Jiaotong University, Chongqing 400074, China
    2. College of Transportation, Chongqing Jiaotong University, Chongqing 400074, China
    3. Institute of Intelligent City, Chongqing Jiaotong University, Chongqing 400074, China
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表12种不同金属材料的力学参数

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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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