This study develops a new residential location choice (RLC) model by integrating individual travel behavior patterns into the analysis. Using residential trajectory data from Beijing and Shenzhen, the study finds that commuting time and home-based non-commuting (HBNC) time follow an extreme value distribution, indicating residents' preference for minimizing commuting time and maximizing HBNC time. The resulting RLC model aligns with the gravity model and demonstrates robustness through various tests. The model effectively assesses dynamic changes in RLC behaviors and makes predictions based on past travel patterns, offering valuable insights for urban planning and policymaking.

Yanzhe Cui, Pengjun Zhao, Ling Li, Juan Li, Mingyuan Gong, Yiling Deng, Zihuang Si, Shuaichen Yan, Xuewei Dang