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Computational Urban Science|November 12, 2021
Investigating the practical viability of walk-sharing in improving pedestrian safetyDebjit Bhowmick, Stephan Winter, Mark Stevenson, et al.Computational Urban Science|November 12, 2021
Emerging geo-data sources to reveal human mobility dynamics during COVID-19 pandemic: opportunities and challengesXiao Li, Haowen Xu, Xiao Huang, et al.Computational Urban Science|January 10, 2022
Exploring spatiotemporal changes in the multi-granularity emotions of people in the city: a case study of Nanchang, ChinaXin Xiao, Chaoyang Fang, Hui Lin, et al.Computational Urban Science|October 31, 2022
Implications of a Twitter data-centred methodology for assessing commuters' perceptions of the Delhi metro in IndiaApoorv Agrawal, Paulose N KuriakoseComputational Urban Science|July 5, 2022
Investigating functional consistency of mobility-related urban zones via motion-driven embedding vectors and local POI-type distributionsAlessandro Crivellari, Bernd ReschComputational Urban Science|January 19, 2026
Disentangling the impacts of collective mobility of residents and non-residents on burglary levelsTongxin Chen, Kate Bowers, Tao ChengComputational Urban Science|March 27, 2023
DigitalExposome: quantifying impact of urban environment on wellbeing using sensor fusion and deep learningThomas Johnson, Eiman Kanjo, Kieran WoodwardComputational Urban Science|March 6, 2023
Uncovering the spatiotemporal evolution of the service industry based on geo-big-data- a case study on the bath industry in ChinaBingyu Zhao, Jingzhong Li, Bing XueComputational Urban Science|May 16, 2023
Analyzing the impact of COVID-19 on the electricity demand in Austin, TX using an ensemble-model based counterfactual and 400,000 smart metersTing-Yu Dai, Praveen Radhakrishnan, Kingsley Nweye, et al.Computational Urban Science|April 25, 2023
Spatial social network research: a bibliometric analysisLing Wu, Qiong Peng, Michael Lemke, et al.Pageof 5