Optimization strategy for coal mine industrial heritage renewal based on semantic segmentation and postoccupancy evaluation of street view images: a case study of the Wangfeng Mine in Jiaozuo city

This study assesses the spatial transformations triggered by the revitalization of urban coal mine industrial heritage, with a particular emphasis on the Wangfeng mine renewal project in China. Using semantic segmentation, five pivotal spatial indicators are scrutinized: green visibility, sky exposure, interface enclosure, pedestrian accessibility, and motorization levels. Additionally, we evaluate the utilization effectiveness of the rejuvenated park, thereby establishing a yardstick for gauging the success of urban industrial heritage renewal endeavors. A holistic evaluation framework is employed, integrating the analytic hierarchy process (AHP), questionnaire surveys, and fuzzy comprehensive evaluation methods. Specifically, indicator weights are ascertained through the AHP method, while traffic infrastructure, architectural spaces, park environments, ancillary facilities, cultural elements, and management services are subjected to a satisfaction evaluation framework grounded in survey data. A comparative analysis of the Wangfeng Mine renewal project is subsequently conducted, encompassing quantitative assessments of indicator significance, evaluations at both the project and programmatic levels, and the pinpointing of specific challenges confronted by the government in preserving and repurposing industrial heritage. Ultimately, the solutions derived from the Wangfeng Mine case study enrich the broader academic discourse on urban renewal and industrial heritage conservation.