The 14th International Workshop on Urban Computing

The swift advancement of urbanization has resulted in the growth of numerous large cities, which have enhanced the lives of many individuals but have also created significant challenges, such as air pollution, higher energy consumption, and traffic congestion. Addressing these issues was nearly unfeasible in the past due to the intricate and ever-changing nature of urban environments. Today, however, advancements in sensing technologies and extensive computing infrastructures have generated vast amounts of big data related to urban areas, including information on human mobility, air quality, traffic patterns, and geographic data. Inspired by the potential for creating smarter cities, we developed a vision for urban computing that seeks to harness insights from diverse and extensive data collected in urban settings, using this valuable information to tackle the critical problems our cities currently encounter.

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Publication Details

Published
2025-08-03
DOI
https://doi.org/10.1145/3711896.3737843
Citations
1
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
2.18

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article

The 14th International Workshop on Urban Computing

Jieping Ye, Chuishi Meng, Yuxuan Liang, Philip S. Yu et al.
1 citations
Human Mobility and Location-Based Analysis
2.18
article

The 14th International Workshop on Urban Computing

Jieping Ye, Chuishi Meng, Yuxuan Liang, Philip S. Yu, Ouri Wolfson, Yanhua Li, Yu Zheng
article en
1 citations

Abstract

The swift advancement of urbanization has resulted in the growth of numerous large cities, which have enhanced the lives of many individuals but have also created significant challenges, such as air pollution, higher energy consumption, and traffic congestion. Addressing these issues was nearly unfeasible in the past due to the intricate and ever-changing nature of urban environments. Today, however, advancements in sensing technologies and extensive computing infrastructures have generated vast amounts of big data related to urban areas, including information on human mobility, air quality, traffic patterns, and geographic data. Inspired by the potential for creating smarter cities, we developed a vision for urban computing that seeks to harness insights from diverse and extensive data collected in urban settings, using this valuable information to tackle the critical problems our cities currently encounter.

Worcester Polytechnic Institute (US), University of Illinois Chicago (US), Jingdong (China) (CN), Alibaba Group (China) (CN)
National Science Foundation, University of Minnesota, Worcester Polytechnic Institute, York University, National Natural Science Foundation of China, National Taiwan University, Directorate for Computer and Information Science and Engineering, University of Illinois at Urbana-Champaign, University at Buffalo, Beijing Nova Program, Guangzhou Municipal Science and Technology Project, Basic and Applied Basic Research Foundation of Guangdong Province, Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México
Sustainable cities and communities
Openalex Percentile: Top 12%
Human Mobility and Location-Based Analysis
2.18
DOIOpen Access PDFOpenAlex
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