This study uses Shenyang as a case to integrate multi-source dynamic data with spatial modeling. A comprehensive resistance surface was planned using 12 indicators across the natural, built, and socio-economic dimensions, with objective weighting via the CRITIC method. A hierarchical corridor network was generated based on the MCR model and circuit theory, validated by chi-square goodness-of-fit tests and network structural analysis. The results indicate that socio-economic factors, particularly path activity frequency, dominate the spatial patterns of the corridors, confirming that the network captures connectivity rooted in human activity rather than simply replicating transportation infrastructure. The distribution of national, provincial, and municipal heritage sites across the three higher-importance tiers (L1–L3) shows no significant deviation from the regional baseline, validating the network’s inherent de-hierarchization capacity. Network structure analysis further confirms that this equitable network simultaneously exhibits robust connectivity. The resultant network displays a distinct core–periphery structure with a monocentric-multinuclear radial pattern, forming a four-tier corridor system (core, primary, secondary, and local) that provides an actionable framework for graded protection and targeted interventions. This study advances cultural heritage conservation from passive isolation towards proactive systemic network governance, offering a transferable pathway for the sustainable preservation of heritage in high-density urban environments.
Hao et al. (Thu,) studied this question.