Land use types other than specialized athletic fields provide a variety of jogging environments, addressing the shortage of urban fitness facilities and promoting urban health as well as sustainability. Currently, there is limited research comparing the differences in jogging support among various land use types, which can assist decision-makers in setting priorities and targeted strategies for urban renewal, especially in urban built-up areas with limited land resources. Initially, spatial information, statistical data, and recommendation reason text were extracted from recommended routes in mobile fitness apps and categorized into six land use types. Subsequently, spatial potential was measured through descriptive statistics, buffer area analysis, spatial autocorrelation analysis, and line density analysis. Environmental preferences were gauged by text analysis using jieba word segmentation and grouped word frequency calculation. Finally, the measurement results of different land uses were compared, including scale differences, spatial differentiation, environmental perception, and environmental elements. The research found that streets, residential areas, campuses, parks, and greenways possess significant potential to support jogging, particularly streets. These types of land use exhibit varying spatial potentials and attractions in environmental preferences. Targeted recommendations have been proposed to support the renewal of urban built-up areas and research in related fields.

Improving street jogging environments can promote urban health and sustainability, especially within urban built-up areas. Public attention to the environment during jogging has not been sufficiently studied, and the recommended route data from the fitness app offers an opportunity for multiscale spatial exploration. Initially, by analyzing the recommendation reason text, the study identified 22 environmental factors and proposed the Environmental Factor Public Attention Intensity (EFPAI) for quantification, with subsequent comparisons to expert opinions. Further, by analyzing five types of data from the recommended routes, the relationships between EFPAI and jogging frequency, route shape, spatial distribution, and seasonal variations were uncovered. The study revealed: (1) discrepancies between expert opinions and public attention, with experts more likely to overlook factors such as slope, visual quality, width, and acoustic quality; (2) the public tends to notice factors like pedestrians, green spaces, waterfront spaces, landscapes, culture, sports facilities, and accessibility on routes with high jogging frequency; (3) EFPAI for traffic infrastructure, waterfront spaces, landscapes, residential areas, and campuses is associated with route shape; (4) EFPAI of certain environmental factors is influenced by urban geographical spatial factors, and substantial differences exist between different cities. Specific recommendations were provided from three different scales—site scale, street block scale, and urban scale—to guide the resolution of issues in planning and decision-making processes for urban renewal.

Balancing urban nighttime development with biodiversity conservation requires a clear understanding of how artificial light at night (ALAN) affects wildlife over time. However, long-term, fine-scale quantitative assessments remain scarce. Here, we analyzed bird diversity and ALAN in Shanghai from 2000 to 2024 at a 1 km resolution by integrating bird observation records with satellite-derived nighttime light data. We quantified the interaction between bird diversity and ALAN using a coupling coordination degree model (CCDM) and identified key drivers with GeoDetector. Our results show that bird diversity increased in 16% of the study area, though spatially fragmented, while ALAN intensified and expanded outward from the urban core, affecting 4.6% of the area. Areas with moderate or higher coordination (CCD > 0.5) nearly doubled, primarily in urban–suburban transition zones. Urban land use, road density, and vegetation cover (NDVI) were the dominant drivers, with NDVI-related interactions significantly enhancing explanatory power. These findings provide the first long-term, spatially explicit assessment of ALAN–bird diversity interactions in Shanghai, offering quantitative guidance for zoning-based lighting management, green space planning, and biodiversity-friendly urban development.

The construction of post-industrial landscapes is increasingly regarded as an important pathway for promoting urban sustainability. However, limited attention has been given to the interconnections between post-industrial landscapes and local villagers in rural contexts. From the perspective of environmental justice, the ecological and cultural-tourism goals of post-industrial landscapes may be mismatched with villagers’ place-based needs. This study examines a typical rural post-industrial waterfront area in China to analyze villagers’ environmental justice. Representative project photographs were collected, and villagers’ perceptions were obtained through questionnaires and semi-structured interviews, yielding 98 valid responses (95% response rate). Quantitative measurements of landscape characteristics were combined with pairwise preference evaluations, and the analysis applied the framework of recognition, participatory, and distributive justice. A discrete choice model (DCM) and spatial analysis were then employed to explore the relationships. Quantitative analysis showed that natural vegetation, plazas, industrial heritage, and pedestrian paths had negative effects on villagers’ recognition (β = −0.36 to −0.18), whereas hardscape had a strong positive effect (β = 0.94). Moreover, spatial analysis indicated localized patterns of environmental injustice, highlighting uneven distribution of landscape benefits across the site. Semi-structured interviews revealed villagers’ priorities across landscape design, amenities, local livelihoods, and project implementation, highlighting the importance of safer, more functional, and well-managed spaces. Collectively, these findings underscore the importance of inclusive planning and design strategies that integrate ecological, cultural, and recreational considerations, thereby supporting the sustainable renewal of rural post-industrial waterfronts.

In high-density urban areas where land is at a premium, Informal Running Environments (IRE) provides opportunities for mixed use, which is conducive to improving the current problem of insufficient and uneven distribution of fitness space. Running environments dominated by linear space are often difficult to study through traditional research methods, while the emergence of the crowdsourcing model enables Volunteered Geographic Information (VGI) to provide effective data support. Firstly, text semantic analysis was done based on the recommended route data from mobile fitness APP. The key factors and importance levels that influence people's preference on IRE are identified. Secondly, a supply and demand evaluation for the informal running environment was constructed. Priority areas for renewal in the city were identified. Finally, a strategy toolbox containing visual case patterns was developed to provide decision-makers with directional and easy-to-implement guidance. Key factors such as people, paving, lighting, vehicles, residential areas, transportation facilities, green spaces, waterfront and scenery were found to have a significant impact on running behavior. The research provides a quantitative evaluation and optimization method for urban renewal.

Night running is becoming an important physical activity during nighttime hours. However, the formal running spaces available in cities are often insufficient to meet the daily fitness needs of urban populations. Consequently, street spaces are frequently incorporated into the choices of night runners. Artificial lighting is an indispensable factor in the street running environment, however, the research on how artificial lighting in urban streets affects the comfort of night running spaces remains unclear. This study selected three classic night running routes in Suzhou City for evaluation using a fitness app for running route recommendations and conducted on-site photography using a panoramic camera. Subsequently, individuals experienced in night running were recruited to conduct a questionnaire survey on the artificial lighting factors depicted in the photographs. The results indicate that the brightness of environmental lighting in streets has the greatest impact on the comfort of night runners, followed by lighting coverage and color, while the type of environmental lighting has the least impact on the comfort of night runners. The final results can provide a theoretical basis for optimizing the lighting conditions of urban night running spaces, thereby contributing to the creation of a more comfortable urban night running environment.