Identifying intercity freight trip ends of heavy trucks from GPS data
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DOI: 10.1016/j.tre.2021.102590
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- Yang, Yitao & Jia, Bin & Yan, Xiao-Yong & Zhi, Danyue & Song, Dongdong & Chen, Yan & de Bok, Michiel & Tavasszy, Lóránt A. & Gao, Ziyou, 2023. "Uncovering and modeling the hierarchical organization of urban heavy truck flows," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
- Chen, Liao & Ma, Shoufeng & Li, Changlin & Yang, Yuance & Wei, Wei & Cui, Runbang, 2024. "A spatial–temporal graph-based AI model for truck loan default prediction using large-scale GPS trajectory data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
- Yang, Zhiwei & Chen, Xiaohong & Deng, Jihao & Li, Tianhao & Yuan, Quan, 2023. "Footprints of goods movements: Spatial heterogeneity of heavy-duty truck activities and its influencing factors in the urban context," Journal of Transport Geography, Elsevier, vol. 113(C).
- Basso, Franco & Núñez, Matías & Paredes-Belmar, German & Pezoa, Raúl & Varas, Mauricio, 2024. "Estimation of stops of last-mile delivery vehicles: An application in the food industry in the city of Santiago de Chile," Journal of Transport Geography, Elsevier, vol. 116(C).
- He, Zhangyuan & Zhao, Pengjun & Xiao, Zuopeng & Huang, Xin & Li, Zhaoxiang & Kang, Tingting, 2024. "Exploring the distance decay in port hinterlands under port regionalization using truck GPS data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 181(C).
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Keywords
Intercity freight trip ends; Heavy truck; GPS data; Time threshold method; Spatiotemporal characteristics;All these keywords.
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