As a product of the development of e-commerce over a specific period of time, the “new retail model” breaks the barriers between the traditional retail industry and e-commerce. Supported by Internet technology, it builds a new business model of “physical store + e-commerce + logistics” through the integration of online, offline, and logistics, which also leads to a great change in consumer behavior. Therefore, in order to meet consumer demand and achieve the long-term development of shopping malls, while taking into account the fair allocation of urban space resources, the indicators and methods of shopping mall site selection evaluation in the new retail era will be significantly different from traditional shopping mall site selection decisions. In this paper, the Wuhan East Lake Hi-Tech Zone is selected as the research object, and a comprehensive AHP-GIS assessment model is proposed. By investigating the impact of consumers’ behavioral changes on shopping mall location in the new retail era, a suitability evaluation system containing eight evaluation indicators is constructed, and the weights of each factor are determined using hierarchical analysis. At the same time, GIS is used to process the spatial analysis of the indicators, and combined with the weights of the factors, superposition analysis and quantitative research are carried out. Finally, based on the correlation analysis between ratings and customer flow, the suitability evaluation results are further supported in order to provide a more objective and scientific basis for the location of shopping malls from the perspective of the change in consumer behavior under the new retail model, and to put forward universal suggestions for the construction and development of shopping malls in the future.

With the acceleration of global population aging, rural areas face particularly severe challenges due to youth outmigration and uneven resource distribution. Taking Jiashan Village in Wuhan as a case study, this research combines the planning–activity model of new time–geography with Maslow’s hierarchy of needs to investigate the behavioral and emotional characteristics of the elderly and their spatial adaptation requirements. Using GPS tracking of 30 participants, questionnaires (152 valid responses; 73.4% response rate), facial expression recognition, and the stated preference (SP) method, the study classified elderly lifestyles into four types: leisure-oriented, agricultural-labor-oriented, caregiving-oriented, and self-employment-oriented. The results show significant heterogeneity in spatial needs, social intensity, and emotional responses. A quantitative analysis using the multinomial logit model indicates that farmland optimization had the greatest positive utility (+1.5873), followed by the addition of new plazas and leisure facilities, both significantly enhancing satisfaction. A correlation analysis further revealed that prolonged use of farmland, parks, and walking paths was negatively correlated with satisfaction, underscoring the urgency of targeted renovations. On this basis, the study proposes a three-tiered demand framework of “local service–social interaction–personal value”, offering both theoretical support and practical strategies for multi-level and collaborative retrofitting of suburban rural public spaces, aiming to mitigate “aging depression” and promote urban–rural integration.

Identifying where nature-based solutions should be prioritized has become a critical task for climate-adaptive urban stormwater management under the combined pressures of climate change and urban expansion. Taking the central urban area of Beijing as a case study, this study develops a dynamic prediction framework that incorporates the Source–Flow–Sink (SFS) process of urban waterlogging. The framework integrates a future land use simulation model (FLUS), the Soil Conservation Service (SCS) hydrological model, and the Maximum Entropy (MaxEnt) model and incorporates both climate change (RCP8.5) and urban expansion to simulate the spatial configuration of waterlogging risk in 2031. High-risk areas were then overlaid with land-cover data and open-space distribution to identify potential NbS opportunity spaces, which were further examined through field investigation. The results show that future waterlogging risk in Beijing exhibits a clear corridor-oriented pattern closely associated with transportation infrastructure. Transportation-related variables account for more than 80% of total model contribution, suggesting a strong statistical association between future waterlogging occurrence and transportation-related spatial features. Field investigation further reveals that many roadside green spaces are elevated above adjacent roads, limiting their ability to receive and retain runoff. Thus, the key adaptation challenge lies not simply in the amount of green space, but in the weak hydrological connection between runoff pathways and adjacent open spaces. While Beijing’s priority areas are mainly corridor-based, other cities may be shaped by different processes and spaces. More broadly, this study demonstrates how hydrological risk simulation can be translated into spatially explicit planning priorities and more locally grounded adaptation decisions.

[Objective] Currently, there are limitations in the understanding of rural cultural landscape: they are often perceived as material spatial entities, with a lack of exploration of their intangible elements and neglect of the isomorphism between the material and intangible elements of cultural landscapes. In the context of rural cultural revitalization, it is necessary to explore the regional protection elements of rural cultural landscapes from the perspective of isomorphism. [Methods/Process] This study employs relevant linguistic theories to extract and construct a framework for a language system with regional characteristics for rural cultural landscapes from an isomorphous perspective. By deconstructing the rural cultural landscape pattern of Jiufangou in Dawu County, it summarizes the relationships and isomorphous nature between the constituent elements of this language system. [Results/Conclusions] The study identifies eight core landscape terms. These lexical units form landscape sentences based on four typical scenarios. The study then analyzed the landscape grammatical structures of different scenarios from four dimensions and explored the deep semantic meanings and contextual rules of Jiufanggou Village’s cultural landscape. Finally, this study utilizes a schematic diagram of the “vocabulary–grammar–sentence” nested structure of the Jiufanggou cultural landscape to visually illustrate the interconnections and patterns of cultural landscape elements in Jiufanggou Village across different contexts. Building on this, the study explores the structural equivalence between the material and immaterial elements of rural cultural landscapes. Overall, the construction of a nested linguistic system for rural cultural landscapes is not only about analyzing spatial forms but more importantly about exploring the underlying logical order and traditional wisdom behind spatial creation, thereby achieving the goals of associative protection, the inheritance of diverse cultures, and the continuation of the vitality of rural cultural landscapes.