Sensing the Nighttime Economy–Housing Imbalance from a Mobile Phone Data Perspective: A Case Study in Shanghai

Sensing the nighttime economy–housing imbalance is of great importance for urban planning and commerce. As an efficient tool social sensing human observation, mobile phone data provides effective way to address this issue. In paper, indicator, data-based intensity, proposed measure degree imbalance. This indicator can distinguish vitality variations between sleep periods activity periods, which are highly related The spatial pattern was explored, its association with built environment investigated through city-scale geographical regression analysis in Shanghai, China. results showed that sub-districts Shanghai high-positive-imbalance intensities displayed structures superimposed rings striped shapes, negative were distributed around high positive-intensity areas. There significant linear correlations intensity environment. multiple influences factors mechanisms explored from a perspective. Our study utilized provide more comprehensive understanding These findings will be useful fostering economy supporting renewal.