Historic districts are complex built heritage environments where conservation, commercial activities, and public use continuously interact. A key challenge is maintaining cultural meaning and spatial authenticity while meeting contemporary demands for leisure and accessibility. Taking the Fuzimiao–Qinhuai Scenic Belt in Nanjing, China, as a representative case, this study develops a computational mixed-methods framework to evaluate visitor perception and diagnose experiential imbalances in the built heritage environment. A total of 2940 online reviews (2020–2025) were analysed using TF-IDF, Latent Dirichlet Allocation (LDA), StructBERT sentiment analysis, and Importance–Performance Analysis (IPA). Six experiential dimensions were identified, covering cultural inheritance, nightscape and leisure, rituals and museum visits, architectural space, value evaluation, and practical services. Results reveal a clear disparity: nightscape and value-related dimensions received the highest attention and positive sentiment, whereas rituals and museum interpretation underperformed despite their central heritage significance. Based on the IPA diagnosis, the study proposes three strategies: reallocating resources from over-supplied services to underperforming cultural cores, integrating immersive digital technologies (VR/AR) to revitalise heritage interpretation, and embedding cultural narratives into nightscape experiences. These strategies support a paradigm shift from visual attraction to cultural resonance in the conservation-oriented regeneration of historic districts.

Population aging has increased demand for walkable community healthcare for older adults. Using the six central districts of Nanjing as a case study, this study examines whether nominal 15 min access to community health service centers (CHSCs) translates into effective and equitable spatial access after accounting for pedestrian-network barriers, distance decay, and population competition. Based on the 2024 official CHSC roster (n = 60), a census-calibrated 100 m population grid, and an OpenStreetMap walking network, we computed walking times from 500 m hexagonal origins at 1.0 m/s. Binary coverage was compared with equal-supply Gaussian two-step floating catchment area accessibility, and population-weighted Lorenz–Gini measures were calculated overall and among covered older residents. Among 581,474 residents aged 65 years and older, only 28.1% could reach a CHSC within 15 min; 24.8% of covered residents fell below the first quartile of competition-adjusted accessibility. The weighted Gini coefficient was 0.861 overall and 0.506 among covered residents, and high-demand, low-effective areas contained 37.9% of the older population. Under the stated assumptions, the results indicate that nominal proximity overstates modeled equal-supply CHSC accessibility and that joint assessment of coverage, accessibility, conditional equity, and spatial typology can better screen areas for subsequent capacity audits, facility-siting assessment, or pedestrian-network improvement.