Open Data from Ride-Hailing Platforms Driving Smart City Development:A Systematic Review
This study employs a systematic review methodology to conduct a comparative analysis of the current research on lever-aging open data from ride-hailing platforms to advance smart city development in four cities across China and the United States(Chengdu,Shanghai,New York,and Chicago).The findings reveal a positive correlation between the degree of data openness and the depth of research:American cities,with more open,diverse,and long-term data availability,exhibit research that encom-passes long-term trend analysis,social equity assessment,and exploration of economic development models.In contrast,research in Chinese cities is constrained by data accessibility,primarily focusing on short-term operational optimization and traffic manage-ment.Furthermore,there are notable differences in research emphases and methodologies between China and the United States.This study demonstrates that ride-hailing platform data holds significant value for smart city development,yet current research and applications remain limited.Future directions should include expanding data sources,innovating methodologies,strengthening in-terdisciplinary and cross-national comparative studies,establishing data-sharing mechanisms and incentive policies,and balanc-ing data openness with privacy protection.
Open dataData sharingSmart cityRide-hailing platform
万方数据
维普
