{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T12:57:55Z","timestamp":1781787475925,"version":"3.54.5"},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,3,24]],"date-time":"2025-03-24T00:00:00Z","timestamp":1742774400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,3,24]],"date-time":"2025-03-24T00:00:00Z","timestamp":1742774400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Urban Info"],"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:p>Urban informatics has emerged as a critical interdisciplinary field, responding to the rapid technological advancements in information technology and playing a pivotal role in the transformation and planning of smart cities. This paper provides an in-depth examination of the evolution of urban informatics, research, and educational facets, underscoring its significance in addressing the complexities of urban challenges. It begins with a historical perspective on integrating informatics with urban planning, charting the development of urban informatics into a specialized discipline. The theoretical underpinnings of urban informatics are explored, tracing its progression from technology-driven initiatives to a field bolstered by urban science theory. The paper delves into the core directions of urban informatics, including urban sensing, big data, analytics, and planning applications, highlighting the synergistic relationship between technological innovation and urban growth. An assessment of the research and progress in urban informatics is presented,\u2009 focusing on the contributions of international research institutions and the influence of urban informatics on practical planning. The educational landscape is also examined, reflecting the rise of interdisciplinary programs and the burgeoning demand for expertise in this domain. The paper concludes by emphasizing the transformative potential of urban informatics as a planning tool and its crucial role in shaping the trajectory of urban development.<\/jats:p>","DOI":"10.1007\/s44212-025-00070-2","type":"journal-article","created":{"date-parts":[[2025,3,24]],"date-time":"2025-03-24T04:21:09Z","timestamp":1742790069000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Progress of urban informatics in urban planning research, education, and practice"],"prefix":"10.1007","volume":"4","author":[{"given":"Chao","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuyan","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zerun","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiqiang","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,3,24]]},"reference":[{"key":"70_CR1","doi-asserted-by":"publisher","first-page":"e11138","DOI":"10.1016\/j.heliyon.2022.e11138","volume":"8","author":"HM Alshuwaikha","year":"2022","unstructured":"Alshuwaikha, H. M., et al. (2022). Analysis of the implementation of urban computing in smart cities: A framework for the transformation of Saudi cities. Heliyon, 8, e11138.","journal-title":"Heliyon"},{"issue":"3","key":"70_CR2","doi-asserted-by":"publisher","first-page":"14","DOI":"10.36244\/ICJ.2021.3.2","volume":"13","author":"M Amini","year":"2021","unstructured":"Amini, M., et al. (2021). Developing a macroscopic model based on fuzzy cognitive map for road traffic flow simulation. Infocommunications Journal, 13(3), 14\u201323.","journal-title":"Infocommunications Journal"},{"key":"70_CR3","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.cities.2018.09.009","volume":"86","author":"S Ashkezari-Toussi","year":"2019","unstructured":"Ashkezari-Toussi, S., et al. (2019). Emotional maps based on social networks data to analyze cities emotional structure and measure their emotional similarity. Cities, 86, 113\u2013124.","journal-title":"Cities"},{"issue":"1","key":"70_CR4","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1257\/jep.34.1.94","volume":"34","author":"C Brell","year":"2020","unstructured":"Brell, C., et al. (2020). The labor market integration of refugee migrants in high-income countries. Journal of Economic Perspectives, 34(1), 94\u2013121.","journal-title":"Journal of Economic Perspectives"},{"key":"70_CR5","doi-asserted-by":"publisher","unstructured":"Chakraborty, S., & Sukapuram, R. (2022). Multi-access edge computing for urban informatics. Proceedings of the 23rd International Conference on Distributed Computing and Networking. https:\/\/doi.org\/10.1145\/3491003.3493332","DOI":"10.1145\/3491003.3493332"},{"key":"70_CR6","doi-asserted-by":"crossref","unstructured":"Chowdhery, A. et al. (2018). Urban IoT edge analytics. Fog computing in the internet of things: Intelligence at the edge, 101\u2013120.","DOI":"10.1007\/978-3-319-57639-8_6"},{"issue":"6","key":"70_CR7","doi-asserted-by":"publisher","first-page":"494","DOI":"10.1038\/s41893-020-00678-z","volume":"4","author":"M Diao","year":"2021","unstructured":"Diao, M., et al. (2021). Impacts of transportation network companies on urban mobility. Nature Sustainability, 4(6), 494\u2013500.","journal-title":"Nature Sustainability"},{"key":"70_CR8","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-60566-152-0","volume-title":"Handbook of research on urban informatics: The practice and promise of the real-time city","author":"M Foth","year":"2008","unstructured":"Foth, M. (2008). Handbook of research on urban informatics: The practice and promise of the real-time city. IGI Global."},{"key":"70_CR9","doi-asserted-by":"crossref","unstructured":"Foth, M. et al. (2011). Urban informatics. Proceedings of the ACM 2011 Conference on Computer Supported Cooperative Work, 1\u20138.","DOI":"10.1145\/1958824.1958826"},{"key":"70_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2021.102757","volume":"67","author":"X Fu","year":"2021","unstructured":"Fu, X., & Zhai, W. (2021). Examining the spatial and temporal relationship between social vulnerability and stay-at-home behaviors in New York City during the COVID-19 pandemic. Sustainable Cities and Society, 67, 102757. https:\/\/doi.org\/10.1016\/j.scs.2021.102757","journal-title":"Sustainable Cities and Society"},{"issue":"2","key":"70_CR11","doi-asserted-by":"publisher","first-page":"125","DOI":"10.3390\/environments2020125","volume":"2","author":"A Grover","year":"2015","unstructured":"Grover, A., & Singh, R. B. (2015). Analysis of urban heat island (UHI) in relation to normalized difference vegetation index (NDVI): A comparative study of Delhi and Mumbai. Environments, 2(2), 125\u2013138.","journal-title":"Environments"},{"key":"70_CR12","doi-asserted-by":"publisher","first-page":"115682","DOI":"10.1016\/j.envpol.2020.115682","volume":"267","author":"G Gualtieri","year":"2020","unstructured":"Gualtieri, G., et al. (2020). Quantifying road traffic impact on air quality in urban areas: A Covid-19-induced lockdown analysis in Italy. Environmental Pollution, 267, 115682.","journal-title":"Environmental Pollution"},{"key":"70_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/0264-2751(87)90033-3","volume-title":"The information city","author":"ME Hepworth","year":"1987","unstructured":"Hepworth, M. E. (1987). The information city. City Publisher."},{"key":"70_CR14","doi-asserted-by":"publisher","first-page":"112612","DOI":"10.1016\/j.enpol.2021.112612","volume":"159","author":"T Huo","year":"2021","unstructured":"Huo, T., et al. (2021). Dynamic scenario simulations of carbon emission peak in China\u2019s city-scale urban residential building sector through 2050. Energy Policy, 159, 112612.","journal-title":"Energy Policy"},{"issue":"7","key":"70_CR15","doi-asserted-by":"publisher","first-page":"2401","DOI":"10.3390\/app10072401","volume":"10","author":"D Iskandarayan","year":"2020","unstructured":"Iskandarayan, D., et al. (2020). Air quality prediction in smart cities using machine learning technologies based on sensor data: A review. Applied Sciences, 10(7), 2401.","journal-title":"Applied Sciences"},{"issue":"9","key":"70_CR16","doi-asserted-by":"publisher","first-page":"1629","DOI":"10.1177\/00420980211044304","volume":"60","author":"G Kawlra","year":"2023","unstructured":"Kawlra, G., & Sakamoto, K. (2023). Spatialising urban health vulnerability: An analysis of NYC\u2019s critical infrastructure during COVID-19. Urban Studies, 60(9), 1629\u20131649.","journal-title":"Urban Studies"},{"key":"70_CR17","doi-asserted-by":"publisher","first-page":"382","DOI":"10.1177\/0739456X18793716","volume":"41","author":"CE Kontokosta","year":"2018","unstructured":"Kontokosta, C. E. (2018). Urban informatics in the science and practice of planning. Journal of Planning Education and Research, 41, 382\u2013395. https:\/\/doi.org\/10.1177\/0739456X18793716","journal-title":"Journal of Planning Education and Research"},{"issue":"4","key":"70_CR18","doi-asserted-by":"publisher","first-page":"382","DOI":"10.1177\/0739456X18793716","volume":"41","author":"CE Kontokosta","year":"2021","unstructured":"Kontokosta, C. E. (2021). Urban informatics in the science and practice of planning. Journal of Planning Education and Research, 41(4), 382\u2013395.","journal-title":"Journal of Planning Education and Research"},{"key":"70_CR19","doi-asserted-by":"publisher","first-page":"108328","DOI":"10.1016\/j.ecolind.2021.108328","volume":"132","author":"C Li","year":"2021","unstructured":"Li, C., et al. (2021). Multi-scenario simulation of ecosystem service value for optimization of land use in the Sichuan-Yunnan ecological barrier. China. Ecological Indicators, 132, 108328.","journal-title":"China. Ecological Indicators"},{"key":"70_CR20","first-page":"59","volume":"3","author":"MY Li","year":"2022","unstructured":"Li, M. Y., et al. (2022). Smart city planning and design based on space and technology application scenarios. Intelligent Building & Smart City, 3, 59\u201363.","journal-title":"Intelligent Building & Smart City"},{"issue":"1","key":"70_CR21","first-page":"1","volume":"42","author":"QQ Li","year":"2017","unstructured":"Li, Q. Q. (2017). From geomatics to urban informatics. Geomatics and Information Science of Wuhan University, 42(1), 1\u20136.","journal-title":"Geomatics and Information Science of Wuhan University"},{"key":"70_CR22","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.landurbplan.2014.09.013","volume":"133","author":"W Li","year":"2015","unstructured":"Li, W., et al. (2015). A comparison of the economic benefits of urban green spaces estimated with NDVI and with high-resolution land cover data. Landscape and Urban Planning, 133, 105\u2013117.","journal-title":"Landscape and Urban Planning"},{"key":"70_CR23","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1007\/s10901-019-09673-z","volume":"35","author":"C-M Liang","year":"2020","unstructured":"Liang, C.-M., et al. (2020). Impacts of urban renewal on neighborhood housing prices: Predicting response to psychological effects. Journal of Housing and the Built Environment, 35, 191\u2013213.","journal-title":"Journal of Housing and the Built Environment"},{"key":"70_CR24","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1016\/j.cities.2018.04.011","volume":"82","author":"C Lim","year":"2018","unstructured":"Lim, C., et al. (2018). Smart cities with big data: Reference models, challenges, and considerations. Cities, 82, 86\u201399.","journal-title":"Cities"},{"key":"70_CR25","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1016\/j.trc.2019.09.006","volume":"108","author":"Z Liu","year":"2019","unstructured":"Liu, Z., et al. (2019). A tailored machine learning approach for urban transport network flow estimation. Transportation Research Part c: Emerging Technologies, 108, 130\u2013150.","journal-title":"Transportation Research Part c: Emerging Technologies"},{"key":"70_CR26","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.scs.2018.11.027","volume":"45","author":"S Longo","year":"2019","unstructured":"Longo, S., et al. (2019). A review on optimization and cost-optimal methodologies in low-energy buildings design and environmental considerations. Sustainable Cities and Society, 45, 87\u2013104.","journal-title":"Sustainable Cities and Society"},{"key":"70_CR27","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.trd.2019.08.026","volume":"75","author":"X Lu","year":"2019","unstructured":"Lu, X., et al. (2019). Influence of urban road characteristics on traffic noise. Transportation Research Part d: Transport and Environment, 75, 136\u2013155.","journal-title":"Transportation Research Part d: Transport and Environment"},{"issue":"7","key":"70_CR28","doi-asserted-by":"publisher","first-page":"7084","DOI":"10.1109\/TVT.2022.3171165","volume":"71","author":"Y Ma","year":"2022","unstructured":"Ma, Y., & Wang, J. (2022). Personalized driving behaviors and fuel economy over realistic commute traffic: Modeling, correlation, and prediction. IEEE Transactions on Vehicular Technology, 71(7), 7084\u20137094.","journal-title":"IEEE Transactions on Vehicular Technology"},{"key":"70_CR29","doi-asserted-by":"publisher","first-page":"112502","DOI":"10.1016\/j.enbuild.2022.112502","volume":"276","author":"KW Mui","year":"2022","unstructured":"Mui, K. W., et al. (2022). Building cooling energy consumption prediction with a hybrid simulation approach: Generalization beyond the training range. Energy and Buildings, 276, 112502.","journal-title":"Energy and Buildings"},{"key":"70_CR30","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1007\/s12613-019-1937-z","volume":"27","author":"C-C Qi","year":"2020","unstructured":"Qi, C.-C. (2020). Big data management in the mining industry. International Journal of Minerals, Metallurgy and Materials, 27, 131\u2013139.","journal-title":"International Journal of Minerals, Metallurgy and Materials"},{"issue":"1","key":"70_CR31","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1007\/s44212-022-00006-0","volume":"1","author":"W Shi","year":"2022","unstructured":"Shi, W., et al. (2022). Prospective for urban informatics. Urban Informatics, 1(1), 2.","journal-title":"Urban Informatics"},{"key":"70_CR32","doi-asserted-by":"publisher","unstructured":"Soomro, K., Bhutta, M. N. M., Khan, Z., & Tahir, M. (2019). Smart city big data analytics: An advanced review. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9. https:\/\/doi.org\/10.1002\/widm.1319","DOI":"10.1002\/widm.1319"},{"issue":"16","key":"70_CR33","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph18168535","volume":"18","author":"Y Su","year":"2021","unstructured":"Su, Y., et al. (2021). Spatial interaction spillover effects between digital financial technology and urban ecological efficiency in China: An empirical study based on spatial simultaneous equations. International Journal of Environmental Research and Public Health, 18(16), 8535.","journal-title":"International Journal of Environmental Research and Public Health"},{"issue":"11","key":"70_CR34","doi-asserted-by":"publisher","first-page":"6748","DOI":"10.1109\/TITS.2020.2994468","volume":"22","author":"M Tajalli","year":"2020","unstructured":"Tajalli, M., et al. (2020). Network-level coordinated speed optimization and traffic light control for connected and automated vehicles. IEEE Transactions on Intelligent Transportation Systems, 22(11), 6748\u20136759.","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"70_CR35","doi-asserted-by":"publisher","first-page":"100746","DOI":"10.1016\/j.uclim.2020.100746","volume":"35","author":"CFB Teixeira","year":"2021","unstructured":"Teixeira, C. F. B. (2021). Green space configuration and its impact on human behavior and urban environments. Urban Climate, 35, 100746.","journal-title":"Urban Climate"},{"key":"70_CR36","doi-asserted-by":"crossref","unstructured":"Thakuriah, P. et al. (2017). Big data and urban informatics: Innovations and challenges to urban planning and knowledge discovery. Seeing cities through big data: research, methods and applications in urban informatics, 11\u201345.","DOI":"10.1007\/978-3-319-40902-3_2"},{"key":"70_CR37","doi-asserted-by":"publisher","unstructured":"Thakuriah, P., Tilahun, N., & Zellner, M. (2017). Introduction to seeing cities through big data: Research, methods and applications in urban informatics, 1\u20139. https:\/\/doi.org\/10.1007\/978-3-319-40902-3_1","DOI":"10.1007\/978-3-319-40902-3_1"},{"key":"70_CR38","doi-asserted-by":"publisher","first-page":"117104","DOI":"10.1016\/j.apenergy.2021.117104","volume":"299","author":"K Ullah","year":"2021","unstructured":"Ullah, K., et al. (2021). A multi-objective energy optimization in smart grid with high penetration of renewable energy sources. Applied Energy, 299, 117104.","journal-title":"Applied Energy"},{"key":"70_CR39","doi-asserted-by":"publisher","first-page":"100383","DOI":"10.1016\/j.jdmm.2019.100383","volume":"15","author":"J Wang","year":"2020","unstructured":"Wang, J., et al. (2020). Dynamic assessment of tourism carrying capacity and its impacts on tourism economic growth in urban tourism destinations in China. Journal of Destination Marketing, Management, 15, 100383.","journal-title":"Journal of Destination Marketing, Management"},{"key":"70_CR40","doi-asserted-by":"publisher","first-page":"208158","DOI":"10.1109\/ACCESS.2020.3038788","volume":"8","author":"S Wang","year":"2020","unstructured":"Wang, S., et al. (2020). Truck traffic flow prediction based on LSTM and GRU methods with sampled GPS data. IEEE Access, 8, 208158\u2013208169.","journal-title":"IEEE Access"},{"key":"70_CR41","first-page":"62","volume":"7","author":"YH Wang","year":"2020","unstructured":"Wang, Y. H., et al. (2020). Research and applications for key technologies of City Information Modeling (CIM) platform. Construction Science and Technology, 7, 62\u201366.","journal-title":"Construction Science and Technology"},{"key":"70_CR42","doi-asserted-by":"publisher","first-page":"103921","DOI":"10.1016\/j.landurbplan.2020.103921","volume":"204","author":"T Wellmann","year":"2020","unstructured":"Wellmann, T., et al. (2020). Remote sensing in urban planning: Contributions towards ecologically sound policies? Landscape and Urban Planning, 204, 103921.","journal-title":"Landscape and Urban Planning"},{"key":"70_CR43","doi-asserted-by":"publisher","DOI":"10.1201\/9781315166612","volume-title":"Urban remote sensing","author":"Q Weng","year":"2018","unstructured":"Weng, Q., & Quattrochi, D. A. (2018). Urban remote sensing. CRC Press."},{"key":"70_CR44","first-page":"1","volume":"2009","author":"Y Xiao","year":"2009","unstructured":"Xiao, Y., & Zhan, Q. (2009). A review of remote sensing applications in urban planning and management in China. Joint Urban Remote Sensing Event, 2009, 1\u20135.","journal-title":"Joint Urban Remote Sensing Event"},{"key":"70_CR45","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1016\/j.rse.2014.11.001","volume":"158","author":"WY Yan","year":"2015","unstructured":"Yan, W. Y., et al. (2015). Urban land cover classification using airborne LiDAR data: A review. Remote Sensing of Environment, 158, 295\u2013310.","journal-title":"Remote Sensing of Environment"},{"key":"70_CR46","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1016\/j.trc.2019.08.010","volume":"107","author":"S Yang","year":"2019","unstructured":"Yang, S., et al. (2019). A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources. Transportation Research Part c: Emerging Technologies, 107, 248\u2013265.","journal-title":"Transportation Research Part c: Emerging Technologies"},{"issue":"1","key":"70_CR47","first-page":"6","volume":"26","author":"MC Zhen","year":"2019","unstructured":"Zhen, M. C., et al. (2019). Research progress on the applications of big data to urban planning. Geomatics World, 26(1), 6\u201312+24.","journal-title":"Geomatics World"},{"key":"70_CR48","volume-title":"Urban computing","author":"Y Zheng","year":"2019","unstructured":"Zheng, Y. (2019). Urban computing. MIT Press."},{"issue":"58\u201362","key":"70_CR49","first-page":"58","volume":"1","author":"WU Zhiqiang","year":"2020","unstructured":"Zhiqiang, W. U. (2020). Artificial intelligence simulation of future urban planning. Economic Guide, 1(58\u201362), 58\u201362.","journal-title":"Economic Guide"}],"container-title":["Urban Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44212-025-00070-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s44212-025-00070-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44212-025-00070-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,29]],"date-time":"2025-03-29T03:47:51Z","timestamp":1743220071000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s44212-025-00070-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,24]]},"references-count":49,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["70"],"URL":"https:\/\/doi.org\/10.1007\/s44212-025-00070-2","relation":{},"ISSN":["2731-6963"],"issn-type":[{"value":"2731-6963","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3,24]]},"assertion":[{"value":"7 July 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 February 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 March 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 March 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"6"}}