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征文启事 | TUS专刊《多源数据感知世界城市遗产》等你来

Call for papers


本期为大家推介的是期刊《城市数据、科学与技术汇刊》(Transactions in Urban Data, Science, and Technology)专刊《多源数据感知世界城市遗产》(Integrating Multi-Source Data for Sensing World Heritage Cities的征文启事,包含Rationale(选题依据)、The scope of Topics(主题范围)、Guidelines(投稿指南)、Timeline(时间表)等内容。欢迎您的咨询、建议与投稿!

[ Rationale(选题依据) ]

World Heritage Cities (WHCs) are the cities that are (in part) inscribed on the UNESCO World Heritage List. WHCs witnessed critical historic moments and passed on cultural traditions of communities in urban contexts, with rich evidence of artefacts, monuments, groups of buildings and sites. As agreed by all 196 world nations that ratified the 1972 World Heritage Convention, the cultural and natural heritage of Outstanding Universal Value is crucial to be conserved for mankind as a wholeThe 2011 UNESCO Recommendation on the Historic Urban Landscape recognizes urban heritage as a social, cultural and economic asset for the development of cities. Treating cities as dynamic organisms and urban heritage management as a holistic approach, it is important to document and map the knowledge from a broader public to facilitate more inclusive heritage decision-making processes. However, effectively sensing, documenting, and managing urban heritage in the 21st century presents unprecedented opportunities and challenges with the ever-growing volumes of data in all sources and the advancing digital technologies to analyze them. The integration of multi-source data, including but not limited to remote sensing, geographic information systems, street view imagery, crowdsourced information, historical archives, photogrammetry, and user-generated content from social media, offers transformative potential for heritage studies and urban science. This integration allows for more comprehensive and scalable assessment of cultural significance, supporting evidence-based heritage management practices. 


This special issue seeks to present scholarly advances and initiate dialogues in research and practice, showcasing how multi-source data can be used to better understand WHCs from broad perspectives, safeguarding their heritage values and attributes in balance with sustainable urban developments.


世界遗产城市(WHCs)是指部分被列入联合国教科文组织世界遗产名录的城市。这些城市见证了重要的历史时刻,并在城市环境中传承了社区的文化传统,拥有丰富的文物、古迹、建筑群和遗址等证据。1972 年《世界遗产公约》的 196 个缔约国一致认为,具有突出普遍价值的文化和自然遗产对于全人类而言至关重要,必须加以保护。2011 年联合国教科文组织《关于历史城镇景观的建议》认为,城市遗产是城市发展的一种社会、文化和经济资产。将城市视为动态有机体,将城市遗产管理视为一种整体方法,记录和绘制来自更广泛公众的知识,以促进更具包容性的遗产决策过程,这一点至关重要。然而,在 21 世纪,随着各种来源的数据量不断增长以及用于分析这些数据的数字技术不断进步,有效地感知、记录和管理城市遗产带来了前所未有的机遇和挑战。包括但不限于遥感、地理信息系统、街景图像、众包信息、历史档案、摄影测量以及来自社交媒体的用户生成内容在内的多源数据的整合,为遗产研究和城市科学研究带来了变革性的潜力。这种整合使得对文化意义的评估更加全面和可扩展,支持基于证据的遗产管理实践。

本期特刊旨在展示学术进展并开启研究与实践中的对话,展示如何利用多源数据从更广泛的视角更好地理解世界遗产地,使其遗产价值和属性与可持续的城市发展相平衡。

The scope of Topics(主题范围)]

We invite submissions of manuscripts that cover a wide range of topics related to multi-source data being integrated for sensing World Heritage Cities. We welcome diverse manuscript types, including literature review, theoretical, methodological, and empirical work. Topics may include, but are not limited, to:


我们邀请提交涵盖与整合多源数据以感知世界遗产城市相关的广泛主题的手稿。我们欢迎不同类型的手稿,包括文献综述、理论、方法和实证工作。主题可能包括但不限于:



  • Data collection and analysis for World Heritage Cities at scale;
  • Definition and social-spatial-temporal analysis of dynamics in World Heritage Cities;

  • Novel frameworks for integrating multiple and new sources of data for sensing heritage;

  • Machine learning, deep learning and AI applications for heritage data analysis;

  • Transfer learning, active learning, multi-modal machine learning, and prompt engineering in urban heritage context;

  • Remote sensing and social sensing for historic urban landscapes;

  • Social media and user-generated content analytics for heritage values and attributes;

  • Management, conservation, monitoring, documentation, and/or adaptive reuse practices in World Heritage Cities with multi-source data;

  • Implementation and best practices of Historic Urban Landscape with multi-source data;

  • Using multi-source data to inform heritage policymaking and agenda-setting;

  • Data analysis for reducing disaster risks and adapting to climate change challenges in World Heritage Cities;

  • Perceptions, cognitions, emotions, and/or behaviors in historic urban landscapes;

  • Global comparisons of World Heritage Cities across different regions and contexts;

  • Integrating tangible and intangible attributes of urban heritage with data;

  • Literature review and perspectives

  • Strengths, Opportunities, Weaknesses, and Threats of multi-source data integration in heritage studies, etc.


[ Guidelines(投稿指南) ]

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 “Integrating Multi-Source Data for Sensing World Heritage Cities” when you reach the “Article Type” step in the submission process and indicate the special issue in your cover letter.


Please note that papers can be submitted any time before the deadline. 

请依据网站要求提交完整论文,并在cover letter中注明向专刊《多源数据感知世界城市遗产》投稿。


[ Timeline(时间表) ]

  • Full paper submission: June 30, 2026
  • Online Publication: On acceptance
  • Special Issue publication: 2026


[ Guest editors(客座编辑) ]

You are also encouraged to contact the guest editors to discuss the issues related to the submission:
如有任何投稿相关问题,欢迎联系本特刊客座编辑进行咨询:

Pakhee Kumar, pakhee.kumar@ucl.ac.uk, University College London, UK

Xiaoxu Liang, xiaoxu.liang@polito.it, Polytechnic University of Turin, Italy

Yueying Chen, yueyingchen@xmu.edu.cn, Xiamen University, China

Shiruo Wang, srwang@suda.edu.cn,  Soochow University, China

Fulong Chen, chenfl@aircas.ac.cn, Aerospace Information Research Institute, Chinese Academy of Sciences, China


本期专刊可复制以下链接至浏览器搜索查看:https://journals.sagepub.com/page/tus/calls-for-papers/sensing-world-heritage-cities


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




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