The Chang Zhen defense area, a critical component of the “Nine Bians and Eleven Zhens,” is strategically significant due to its proximity to Beijing and close association with the Ming Tombs. This study proposes an integrity protection framework through heritage corridor development. Six suitability factors were analyzed using MCR and AHP models. Results indicate that transportation convenience and terrain flatness are pivotal for corridor construction. High-suitability zones largely align with existing Great Wall protection boundaries but extend further into defense-area interiors, including the Ming Tombs. These regions, characterized by flat terrain, infrastructure readiness, and accessibility, present untapped potential for corridor development beyond current heritage zones. The findings underscore the need to prioritize these areas as cultural “windows,” integrating their historical and spatial advantages to enhance coordinated protection between the Great Wall and Ming Tombs. Such efforts would optimize resource utilization while balancing heritage conservation and sustainable development goals.

Long commuting distances pose a significant challenge for many large cities, undermining the principles of sustainable urban development. The factors influencing urban commuting distances among residents are complex and necessitate hierarchical analysis. This study uses Tianjin, one of China’s four municipalities, as a case study, employing transportation analysis zones (TAZ) as research units. We classify these units based on resident and working populations, extracting multiple built environment and personal attribute factors to establish a model that examines the influence of the job–housing balance. The analysis identifies 12 sub-items across two categories of influencing factors, with correlations tested through spatial analysis and linear regression. We found 28 positive associations and 35 negative associations. Notably, the job–housing relationship for the working population was generally more sensitive to changes than that of the resident population. At the TAZ level, personal attributes exerted a more significant influence on the job–housing balance than built environment factors, with commuting mode, life stage, age, and income level notably affecting commuting distances.