DOI: 10.11648/j.sr.20261404.16 ISSN: 2329-0927

Measuring Residential Well-being and Its Spatial Differentiation at the Street Scale in Hangzhou Based on Multi-source Data

Zhu Penghui
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Spatial differentiation of residential well-being is an important dimension for measuring the balance of urban internal development. Existing studies have largely focused on macro-level comparisons between cities, with relatively insufficient attention to fine-scale measurement and spatial patterns at the street level within cities. Taking 86 sub-districts in the main urban area of Hangzhou as the study area, this paper adopts an “economy-society-ecology” three-dimensional analytical framework and integrates multi-source spatiotemporal big data including POI, mobile signaling, road networks, air quality monitoring, and Weibo check‑in texts. Using the entropy weight method and sentiment analysis, the study measures the level of residential well-being at the street scale and reveals its spatial differentiation patterns. The results show that metro coverage, fire station density, and financial service density are core indicators that differentiate street‑level well‑being. Residential well-being exhibits a significant core-periphery gradient decreasing pattern, with high‑scoring sub‑districts highly concentrated in the city center and low scores widely distributed in peripheral areas. The ecological livability dimension presents an inverse pattern of “low in the core, high in the periphery”, revealing a dilemma of “ecology without services”. The social inclusiveness dimension is highly concentrated in the core area, while the economic sustainability dimension contributes the least. A significant positive correlation is found between objective and subjective well‑being, validating the measurement results. This study provides empirical evidence for refined diagnosis and targeted governance of well‑being within megacities.

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