The vitality of public space in rural communities is an important symbol of rural revitalization, especially in suburban rural communities. Previous studies focused on rural industries and ignored the effects of the spatial environment on different groups of people. Hence, this study takes the public space of suburban rural communities as an example and uses Global Positioning System (GPS) and cognitive mapping data to establish a new vibrancy assessment system for tourists and residents, respectively. The effects of the public space environment and space vitality in suburban rural communities are revealed through ordinary least squares (OLS) and geographically weighted regression (GWR) models. The results suggested that: (I) There were pronounced seasonal changes and spatial distribution differences in the space vitality of tourists, while residents were concentrated in fixed public spaces. (II) For tourists, the public space vitality in rural communities was affected by seven factors, including accessibility, seats, green looking ratio, recreational facilities, water area, plant species richness, and plant color composition. Green looking ratio and water area had a negative impact. For residents, the public space vitality in rural communities was affected by five factors, including shelter facilities, seats, accessibility, space type, fitness facilities. Only fitness facilities had a negative effect. Our research proposed a feasible and effective method to assess the vitality of rural public space in rural communities, and the finding from this study provides significant implications for the development and planning of suburban rural communities oriented by vitality.

Overtaking behavior between non-motorized vehicles is one of the main characteristics of the cycling path, and unsafe overtaking behavior has a certain negative impact on riders’ safety. However, little is known about the factors affecting riders’ overtaking decisions. This study aimed to identify the influence of road facilities, types of non-motorized vehicles, and human factors on the characteristics of overtaking behavior on bicycle lanes. DJI drone-based naturalistic riding research was explored in China and a random parameter logit regression model was estimated to model the overtaking decisions of non-motorized vehicle riders. The results showed that gender, age, professional deliverer, type of lead non-motor vehicle, type of non-motorized vehicles, and width of cycling lane influence overtaking behavior significantly. The present study provides theoretical evidence to strengthen the safety design and evaluation of cycling lane infrastructure.

Suburban railways in megacities exert a pivotal role in propelling urbanization and shaping urban agglomeration. However, previous study endeavors have overlooked the transformations occurring in urban expansion along suburban railways, with a particular dearth of attention on the spatio-temporal evolution of landscape ecology and urban function. Therefore, this study employs the megacity of Beijing as an example. It utilizes remote sensing and point-of-interest (POI) data spanning from 2008 to 2022 to construct an indicator system from two essential dimensions: urban form and function. We explored the spatio-temporal characteristics of alterations in urban expansion within the gradient buffer zone adjacent to the suburban railway network in Beijing. The results showed that: (1) The rates of urban expansion were highest in 2008–2013 and lowest in 2013–2018; moreover, suburban railways had the greatest impact on the built-up area within 2–4 km along the route, and the impact gradually decreased beyond 4 km. (2) The direction of urban expansion shifted northward in the direction of latitude and eastward in the direction of longitude from 2008 to 2022, with the shift in latitude being more distinct. (3) The number of urban functions gradually increased from 2008 to 2018, but the number of medical services suddenly increased and the number of other urban functions decreased from 2018 to 2022; in addition, urban functions other than scenic spots were mainly distributed in the main urban areas, with very few clusters distributed near stations. (4) The landscape shape index became more irregular and fragmented from the center along the route to the edge of the buffer zone from 2008 to 2013, and the degree of fragmentation was highest in the 2–4 km buffer zone. In summary, this paper analyzes the spatio-temporal characteristics of urban expansion along suburban railways through four indexes, namely expansion rate, expansion direction, urban function, and landscape shape, and the results of this study are of great significance to the development and planning of suburban railways in megacities.

Against the backdrop of rapid global urbanization, studying the spatiotemporal evolution of cross-regional tourism corridors can effectively guide decision-making for sustainable tourism development. However, previous studies have overlooked the role of geographical space in the construction of tourism corridors, particularly the spatiotemporal characteristics of ecological and socio-economic factors. Taking the central region of the Yangtze River Delta (YRD) in China as a case study, this research utilizes remote sensing images, POI data, and other datasets from 2000, 2010, and 2020. Through a combination of landscape value assessment, resistance surface evaluation system, MCR model, and geographical detector, the study examines the spatiotemporal evolution characteristics of cross-regional tourism corridors and their potential influencing factors. The results indicate that (1) between 2000 and 2020, the areas with prominent landscape value in the core region of the YRD decreased, while areas with less prominent landscape value significantly increased. However, the overall distribution became increasingly fragmented. The resistance values in the main low-resistance areas of the study region continuously increased, and the gap between high- and low-resistance areas narrowed. (2) Over the 20-year period, the total length of the corridors in the study area increased by 333.3%, with the number of corridors rising from 91 to 435. The number of source points grew from 14 to 31, and corridor density increased from 0.04% to 0.19%. The growth rate was fastest from 2000 to 2010 and then gradually slowed down. (3) In terms of influencing factors, population density and road length together explained 62.3% of the variation in corridor length evolution. The evolution of corridor number and source points was mainly influenced by public infrastructure levels and road density, while the evolution of corridor density was primarily driven by road length and public infrastructure. In conclusion, we analyze the spatiotemporal evolution characteristics and influencing factors of cross-regional tourism corridors from the perspective of tourism geography at multiple scales. The findings provide significant insights into promoting the integration of cross-regional tourism resources, achieving sustainable development of all-region tourism, and optimizing the spatial allocation of territorial resources.