论文推荐 | 城市大数据研究的概况与理论进展：对57种代表性期刊的系统性回顾（2013-2023）-规划问道

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本期为大家推荐的内容为论文《Profile and theoretical advances in urban big data studies: A systematic review of 57 representative journals (2013–2023)》（城市大数据研究的概况与理论进展：对57种代表性期刊的系统性回顾（2013-2023）），发表在Environment and Planning B: Urban Analytics and City Science期刊，欢迎大家学习与交流。

随着大数据在城市研究中变得日益重要，其应用的发展概况，包括数据、方法论和对城市理论贡献的趋势，仍然不甚明晰。本研究系统性地回顾了过去十年（2013-2023年）间，城市研究、地理学和环境研究领域（JCR Q1分区）的57种代表性期刊中的文献，重点关注涉及城市空间大数据的定量研究。通过自动化关键词筛选和人工筛选，共识别出1425篇文章，其中因其理论贡献而选取了82篇进行深入分析。研究结果揭示了包括城市交通、空间品质、活力和结构在内的关键主题领域，且研究主要集中在发达国家和大城市。从2013年到2023年，大数据和新方法在城市研究中的应用有所增加，时空分辨率也越来越高。然而，将大数据与城市理论相结合的研究仍然有限，大多数定量研究集中于应用或提出新方法，或揭示新现象。理论贡献主要探讨了城市环境形成的机制及其对人类活动和行为的影响。本研究为理解大数据在城市空间研究中的应用和理论进展提供了全面的视角，并为未来的研究指出了关键方向。

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题目：Profile and theoretical advances in urban big data studies: A systematic review of 57 representative journals (2013–2023)

（城市大数据研究的概况与理论进展：对57种代表性期刊的系统性回顾（2013-2023））

作者：

Tangqi Tu, Enjia Zhang, Ying Long*

发表刊物：

Environment and Planning B: Urban Analytics and City Science

URL:
https://doi.org/10.1177/23998083251346582

引用格式：

Tu, T., Zhang, E., & Long, Y. (2025). Profile and theoretical advances in urban big data studies: A systematic review of 57 representative journals (2013–2023). Environment and Planning B: Urban Analytics and City Science. https://doi.org/10.1177/23998083251346582

摘要ABSTRACT

As big data becomes increasingly integral to urban studies, the evolving profile of its applications, including the trends in data, methodologies, and contributions to urban theories, remains unclear. This study systematically reviewed literature from 57 representative journals in the fields of Urban Studies, Geography, and Environmental Studies (JCR Q1) over the past decade (2013–2023), with a focus on quantitative research involving urban spatial big data. A total of 1,425 articles were identified through automated keyword filtering and manual screening, of which 82 were selected for further analysis due to their theoretical contributions. The results revealed key thematic areas, including urban transportation, spatial quality, vitality, and structure, with a predominant focus on developed countries and large cities. The applications of big data and novel methodologies in urban studies have increased from 2013 to 2023, with increasingly higher levels of spatiotemporal resolution. However, studies linking big data to urban theories remained limited, with most quantitative research centered on applying or proposing new methods or uncovering new phenomena. Theoretical contributions primarily explored the mechanisms underlying urban environment formation and their impacts on human activities and behaviors. This study provides a comprehensive understanding of big data applications and advances in theories in urban spatial studies and highlights key directions for future research.

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