Tracking forced relocation due to urban regeneration can help deepen the understanding of urban regeneration beyond the perceived limits of displacement. Existing research has not sufficiently explored new experiences following the adjustment of China's urban-regeneration policy. This article explores an approach that uses location-based service data to study forced relocatees for urban regeneration, which can be generalized across different regions to expand international knowledge and comparative research. Focusing on Wuhan, the impact of urban regeneration on the living environment of forced relocatees was evaluated from three aspects: housing conditions, neighborhood facilities, and jobs–housing commuting, using the difference-in-difference model. The research found: (1) most forced relocatees chose to live near their original residences; and (2) urban regeneration has improved housing conditions and decreased jobs–housing commuting for forced relocatees but has a negative effect on neighborhood facilities. We conclude by discussing a methodology for applying mobile phone data to urban-regeneration studies.
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Niu et al. (2024) studied this question.
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