中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A novel approach to modeling urban commuting traffic demands

文献类型:期刊论文

作者Niu, Fangqu1,2; Xuan, Bingcheng1,2
刊名CITIES
出版日期2025
卷号156页码:105583
关键词Traffic demands Model simulation Labor supply Employment status Prediction Land use and transportation
ISSN号0264-2751
DOI10.1016/j.cities.2024.105583
产权排序1
文献子类Article
英文摘要The scientific prediction of urban commuting traffic demands can support rational urban planning for population distribution, enterprise placement, and the coordination of land use and transportation. This study develops an Urban Commuting Model (UCM) that integrates both spatial and temporal aspects: Spatially, changes in employment or population distribution lead to changes in commuting patterns; Temporally, the commuting patterns of the previous year form the basis for the patterns of the following year. The UCM, based on historical commuting matrix, simulates urban traffic demands under various scenarios of urban residential population and employment planning. In a case study, the proposed model was used to simulate urban traffic demands in Beijing under the construction scenario of the city's sub-center in Tongzhou. The case study demonstrates that the UCM can effectively predict urban traffic demands under different land use and transportation scenarios, providing informative policy implications at an early planning stage. This study offers a novel approach for simulating urban traffic demands and is a valuable addition to the existing literature.
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WOS关键词PATTERNS ; GRAVITY ; DETERMINANTS ; MOBILITY ; ENTROPY ; GENDER
资助项目National Natural Science Foundation of China[42071153] ; National Natural Science Foundation of China[41101119]
WOS研究方向Urban Studies
语种英语
WOS记录号WOS:001355617200001
出版者ELSEVIER SCI LTD
资助机构National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/211175]  
专题区域可持续发展分析与模拟院重点实验室_外文论文
通讯作者Niu, Fangqu
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China;
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Niu, Fangqu,Xuan, Bingcheng. A novel approach to modeling urban commuting traffic demands[J]. CITIES,2025,156:105583.
APA Niu, Fangqu,&Xuan, Bingcheng.(2025).A novel approach to modeling urban commuting traffic demands.CITIES,156,105583.
MLA Niu, Fangqu,et al."A novel approach to modeling urban commuting traffic demands".CITIES 156(2025):105583.

入库方式: OAI收割

来源:地理科学与资源研究所

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