征文启事 | 专刊《数据智能支持下的收缩城市研究》等你来

The new round of information technology revolution represented by big data, the Internet of Things, cloud computing, artificial intelligence and blockchain has profoundly changed the operation mode of cities, as well as the way of knowing and understanding cities. The research paradigm of shrinking cities in the context of information technology revolution is also changing, shifting from traditional qualitative analyses and case studies to quantitative analyses and comprehensive studies, which facilitates a comprehensive and in-depth understanding of the characteristics and laws of shrinking cities.

We are excited to present this special issue of Shrinking Cities Research Supported by Data Intelligence. Consistent with the scope of the journal, this special issue highlights the importance of smart data or tools to facilitate a refined and intelligent shift in shrinking cities research and innovation in theory and practice.

我们很高兴推出本期以数据智能支持的收缩城市研究特刊。与期刊的研究范围保持一致，本期特刊强调了智能数据或工具在推动收缩城市研究向精细化和智能化转变、以及理论和实践创新中的重要性。

投稿文章需为论文形式，且要求用英文撰写。请严格遵守期刊对“文章”的要求。投稿内容可以包括但不限于以下主题：

1. Fine-grained data and identification of shrinking cities: Explore the fine-grained identification of shrinking cities using high spatial and temporal resolution data such as communities, households, and individuals.

2. Network analysis and the spatial pattern of shrinking cities: Using stream data, network analysis, etc. to explore the spatial pattern and correlation between growing and shrinking cities.

3. Historical data and the stages of shrinking cities evolution: Using long time series and retrospective data to explore the spatial and temporal patterns of urban growth and shrinkage.

4. Active sensing technology and the effects of shrinking cities: Using field research data, fixed and mobile sensing big data to explore the social, economic and environmental effects of shrinking cities.

5. Intelligent technology and governance of shrinking cities: Using cloud computing, big data, artificial intelligence and other modern information technology to explore the spatial governance and planning response of shrinking cities.

6. Multi-source data, hybrid methods and future prediction of shrinking cities: Integrating traditional data, geographic big data, intelligent models, simulation and other data and methods to simulate the future trends of shrinking cities in multiple scenarios.

Submissions should be prepared according to the “Submission Guidelines” available on the journal homepage https://us.sagepub.com/en-us/nam/transactions-in-urban-data-science-and-technology/journal203731#submission-guidelines. Please visit the Journal’s submission site https://mc.manuscriptcentral.com/tus to upload your manuscript. Submitted papers should not have been previously published nor been currently under consideration for publication elsewhere. To ensure that all manuscripts are correctly identified for inclusion into the special issue, it is important to select “Shrinking Cities Research Supported by Data Intelligence” when you reach the “Article Type” step in the submission process and indicate the special issue in your cover letter.

请依据网站要求提交完整论文，并在cover letter中注明向专刊《数据智能支持下的收缩城市研究》投稿。

Dr. Yanjun Liu, liuyj323@nenu.edu.cn, Northeast Normal University, China

Dr. Kang Wu, wukang@cueb.edu.cn, Capital University of Economics and Business, China

Dr. Pingjun Sun, sunpj031@163.com, Southwest University, China

Dr. Xiaoxiang Yi, yixiaoxiang@hit.edu.cn, Harbin Institute of Technology, China

Dr. Shuqi Gao, shuqigao@seu.edu.cn, Southeast University, China

Dr. Guolei Zhou, zhouguolei@iga.ac.cn, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, China

Dr. Ying Long, ylong@tsinghua.edu.cn, Tsinghua University, China

更多期刊资讯，请点击文末“阅读原文”，或复制【期刊主页链接】至浏览器搜索查看。欢迎来自所有国家和背景的作者投稿！

【期刊主页链接】：

https://us.sagepub.com/en-us/nam/transactions-in-urban-data-science-and-technology/journal203731