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Inferring intercity freeway truck volume from the perspective of the potential destination city attractiveness

文献类型：期刊论文

作者Zhang, Beibei2,3; Cheng, Shifen2,3; Zhao, Yibo2,3; Lu, Feng1,2,3,4
刊名SUSTAINABLE CITIES AND SOCIETY
出版日期2023-11-01
卷号98页码:11
ISSN号2210-6707
关键词Truck volume inference Freeway Potential destination Machine learning Interpretability
DOI10.1016/j.scs.2023.104834
通讯作者Cheng, Shifen(chengsf@lreis.ac.cn)
英文摘要Accurately inferring the spatiotemporal distribution of freeway traffic volume is one of the bottleneck problems for intelligent management of ground transportation. Although the accuracy of the widely used machine learning-based approaches has been improving, these methods on freeway traffic flow inference tend to become more and more complex and unexplainable, and sometimes even contradict the constraints of freeway access. From the perspective of the potential destination city attractiveness, this study proposes a new method to infer freeway truck volume. First, considering the spatial scope and direction constraints of road transportation, a restricted area search method for potential destination cities of freeway traffic trips is proposed. Second, a freeway traffic inference model was constructed by combining distance and the angle-weighted socioeconomic statistics of each potential destination city. Finally, the Shapley additive explanation value was used to explain how the potential destination city attraction affects the freeway traffic flow. The results show that the proposed method only used 10 indicators; however, the prediction results were closer to the true value, and the compu-tational efficiency improved by 3-10 times over the baseline method. The variables related to spatiotemporal heterogeneity were the most significant variable group, followed by the industrial structure of potential desti-nation cities.
WOS关键词MODEL ; PREDICTIONS ; CAUSALITY
资助项目National Natural Science Founda-tion of China[42101423] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23100501] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23010202]
WOS研究方向Construction & Building Technology ; Science & Technology - Other Topics ; Energy & Fuels
语种英语
出版者ELSEVIER
WOS记录号WOS:001050993000001
资助机构National Natural Science Founda-tion of China ; Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/196768]  
专题中国科学院地理科学与资源研究所
通讯作者Cheng, Shifen
作者单位1.Fuzhou Univ, Acad Digital China, Fuzhou, Peoples R China
2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, IGSNRR, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Beibei,Cheng, Shifen,Zhao, Yibo,et al. Inferring intercity freeway truck volume from the perspective of the potential destination city attractiveness[J]. SUSTAINABLE CITIES AND SOCIETY,2023,98:11.
APA Zhang, Beibei,Cheng, Shifen,Zhao, Yibo,&Lu, Feng.(2023).Inferring intercity freeway truck volume from the perspective of the potential destination city attractiveness.SUSTAINABLE CITIES AND SOCIETY,98,11.
MLA Zhang, Beibei,et al."Inferring intercity freeway truck volume from the perspective of the potential destination city attractiveness".SUSTAINABLE CITIES AND SOCIETY 98(2023):11.

入库方式： OAI收割

来源：地理科学与资源研究所

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