TY - JOUR AU - Lei, Min AU - Zhu, Dandan AU - Xu, Jing AU - Xu, Yuwei AU - Jia, Wenqi PY - 2026 TI - Spatial differentiation and analysis of obstacle factors of elderly well-being in large cities: A case study of Xi'an City JO - Journal of Northwest University (Natural Science Edition) SN - 1000-274X SP - 728 EP - 739 VL - 56 IS - 4 AB - Under the pressures of population aging and new urbanization, enhancing the well-being of the elderly has become an effective measure to ensure the sustainable development of large cities. Using the 13 counties and districts of Xi'an as the research unit, an evaluation index system for elderly well-being was constructed across four dimensions, including material, health, spiritual, and social. Combining the Analytic Hierarchy Process (AHP) and the Criticality Weighting Method (CRITIC) to measure the well-being levels of the elderly across these 13 counties and districts. The obstacle degree model was employed to identify the key obstacle factors on the elderly well-being. The research results reveal 4 findings. ① Gaoling District exhibits the highest overall elderly welfare, while Baqiao District ranks lowest. The four dimensions rank from highest to lowest as material life, spiritual life, social life, and health life. ② The spatial distribution of well-being exhibits higher levels in the north and south, while lower levels were observed in the east and west. Areas with higher levels were concentrated in northern counties and southern counties of the main urban area, while lower levels were clustered in the eastern and western peripheries. ③ The main obstacle factors to the well-being of the elderly in Xi'an include the source of daily necessities and the total monthly income in the material life dimension, health status and satisfaction with medical insurance reimbursement in the healthy life dimension, the frequency of participation in tourism activities in the spiritual life dimension, and the availability of supporting parks in the social life dimension. ④ Based on differences in these obstacle factors, the counties and districts in the study area can be classified into areas where elderly income needs to be increased, areas where medical security needs to be optimized, and areas where public facilities need to be improved. UR - https://doi.org/10.16152/j.cnki.xdxbzr.2026-04-005 DO - 10.16152/j.cnki.xdxbzr.2026-04-005