Applied Geography最新文献

Although migrants wish to make friends with local urbanites, they may not eventually realise their aspirations. This paper considers the mismatch between migrants’ intention and intergroup relations in China to reveal the gap between aspirations and outcomes. The instrumental variable results suggest that residing in migrant-concentrated neighbourhoods can lead to a gap between migrants’ aspired and real intergroup relations. This confirms the negative role of neighbourhood ethnic concentration in a domestic migrant context. Moreover, having a rural hukou indirectly hinders migrants from bridging the gap by lowering their socioeconomic status, demonstrating the disadvantage of rural migrants in the socialisation field. We highlight that migrants in China continue to face the challenges to achieving their integration aspirations.

In the Anthropocene, urban agglomeration is increasingly recognized as a crucial facilitator in advancing urbanization to more developed stages, requiring comprehension of the multiscale associations and couplings supporting urban agglomeration integrated development and eco-environmental systems. This study introduces a novelty research framework for analyzing the intricate associations and couplings between the degree of integrated development and eco-environmental quality in the Central Plains Urban Agglomeration (CPUA), which operates simultaneously at the city, county, and landscape scales. The results suggest that the CPUA degree of integration is moderately low, with areas exhibiting a high degree of integration comprising <1% and predominantly located within the sphere of influence of core cities, such as Zhengzhou. Regions with high eco-environmental quality are located in regions with natural advantages in the northwestern, southwestern, and southeastern regions. It is worth noting that a generally inverse coupling relationship was observed between the urban agglomeration degree of integration and eco-environmental quality, exhibiting varied characteristics across different spatial scales and regional contexts. Stakeholders should focus more on environmental management and policy-making at the county administrative level. This study proposes a multiscale approach for revealing the complex associations and couplings between integrated development and eco-environmental systems, offering valuable insights into the sustainable development of urban agglomerations that encompass natural, social, and economic dimensions.

Distance holds significant importance in the decision-making processes of migration flows. Previous studies have predominantly adopted a global perspective to understand distance constraints. However, same spatial heterogeneity exists in distance constraints, and this heterogeneity contributes to understanding of the effect of regional characteristics in human migration. This study answers three questions: Does distance work for all counties in the same way? Why distance works for some counties but does not for others? And what makes distance decay differently among counties? We adopt geographically weighted regression, binary logistics regression, and random forest regression to analyze the migration from counties all over the China to Shenzhen to explore the spatial heterogeneity of distance decay. The results show that distance does not always work, and that demographics and transportation facilities are important determinants of whether distance works. For counties where distance works, distance decay is nonlinearly related to regional development. This non-linear relationship is due to the game between the appeal of intervention opportunities in the nearest new first-tier city, the constraints represented by the socio-economic development of the source county, and the attractiveness of Shenzhen. This further reflects the dynamic interplay between costs and opportunities, give and gain in the decision process of migration.

Urban rail transit (URT) can boost population and business agglomeration, and increase premiums for surrounding properties. Commercial properties with an operational nature typically gain higher premiums and have the potential to capture value. However, the relationship between URT and commercial property price (CPP) has not been fully explored. Therefore, this paper takes Shanghai as an example, based on URT travel data, property sales information, and other multi-source geographic data, comprehensively analyses the intrinsic mechanism of URTs affecting CPPs. The results confirm that URTs have a significant positive effect on CPPs, but the degree of impact varies in the presence of spatial heterogeneity and submarket effects. On the urban scale, the effect increases and then decreases as one moves away from the CBD; at the station area scale, URTs have a non-linear step-decreasing effect on CPPs. Furthermore, the premium that URTs can generate is limited and subject to multiple constraints in terms of location, built environment, residents' travel habits and expectations. The findings can provide a reference for formulating value capture policy, planning URT routes, and enhancing urban economic vitality.

Illicit drug and alcohol-related activities pose significant challenges to metropolitan centres globally, impacting public safety and socio-economic stability. This research analyzes the spatial and temporal patterns of drugs and alcohol-related illegal activities (DARIA) in Siliguri, known as the "Gateway of North-East India." The primary objectives are to explore DARIA patterns, identify clusters and concentrated areas, and investigate contributing factors. Using GIS-based spatial analysis and geographical models, we studied incidents recorded over three years from 2021 to 2023. Advanced spatial statistical approaches were applied to identify specific clusters of DARIA occurrences. The pure temporal analysis highlighted periods of increased illegal activity. Various geographical models, including ordinary least squares (OLS), geographically weighted regression (GWR), and multiscale geographically weighted regression (MGWR), were used to examine the spatial association. The MGWR model, with an explanatory power of R² = 0.816, provided a detailed understanding of spatial relationships and variations in DARIA. Our findings indicate specific zones with frequent DARIA occurrences, mainly near major transportation hubs, commercial points, and areas with significant mobility. Key exploratory factors such as illiteracy rate, population density, proximity to playgrounds and slums were highly associated with DARIA incidents. These findings contribute to developing safer, more resilient, and more sustainable cities worldwide.

Enhancing the emotions of the workers within industrial parks is crucial for achieving the sustainable development goal (SDG). However, evidence on the impact of industrial park environmental layouts on emotions is limited due to the low attention on the workers in the industrial park. Based on a framework of two-dimensional (2D) industrial park morphology indicators and three-dimensional (3D) spatial objective perception, this study aims to compare and analyze the effect of environmental characteristics in Shenzhen's industrial parks on workers' emotions by using emotional geography and social media data. The potential mechanism that environmental characteristic variables influence the positive emotion index (PEI) is also explored. Using the natural language processing (NLP) to analyze the Weibo check-in data, the study captures the daily emotions of workers in industrial parks. By adopting the linear and spatial regression models, this research reveals the complex relationship between the environmental layout of the total 425 industrial parks in Shenzhen city and the corresponding emotions of the workers. The conclusions are as follows: (1) There is a significant correlation between the environmental layout of the industrial parks and the emotions of the workers, with the correlation among 3D variables being higher than that among 2D variables considering spatial effects. (2) There is a certain degree of coordination and contradiction between the morphological indicators of the industrial parks and the spatial objective perception variables, necessitating the planners to consider both macro-scale and micro-perception environmental characteristics to enhance the workers' emotions. (3) In addition to higher accessibility and more public transportation options, the safer, wider, relatively more open streets, more perceivable green spaces, and richer street life can promote the positive emotions among the workers. On the contrary, the enclosed environments, the dense and overwhelming buildings, and the excessive road density may lead to negative emotions. This study contributes to establish the environmental layouts for the industrial parks that foster positive worker emotions and offer insights for the sustainable development of the industrial parks.

An adequately-designed built environment can prompt willingness of employed people to carry out out-of-home leisure activities. However, since much of the literature relies on static or perceived residential neighborhoods which may have substantial deviations from realistic environmental exposure, some associations between out-of-home leisure activities and built environment may be biased. In this study, we develop three kinds of objective life neighborhood measurements (residential space, job-housing space, and activity space) using massive mobile phone data, to distinguish the differentiated impacts of built environment across different objective life neighborhoods on the out-of-home leisure activities. According to the results, the activity space makes the exploratory models far more reasonable and persuasive than other life neighborhoods, especially in urban development areas, and the benefits of activity space cannot be attained solely by expanding the distance parameters of residential space or job-housing space. Furthermore, the results demonstrate the relative importance of built environment for out-of-home leisure activities, especially the factors of population density, proportion of urban green space, and metro coverage rate, may be underestimated if the ordinary life neighborhoods are applied. This study provides some references for urban planners to formulate effective environmental intervention strategies to maintain active and healthy lifestyles of employed people.

The COVID-19 pandemic has changed human life globally. Existing studies have revealed that citizens' visitations to urban parks varied before and after the COVID-19 outbreak. However, few studies have examined how street-scale built environments (SBEs) on routes affect visitations to urban parks at varying COVID-19 risk levels. In this study, a stated-preference survey was conducted to investigate 3,218 visitors' changes in urban park visitation under various COVID-19 risk levels. In addition to park visit influencing factors, including park features, neighborhood built environment, socio-demographic attributes, and travel distances, multiple SBE indexes on visitors' routes to parks were obtained from 34,780 Baidu Map street view images using a deep neural network (DeepLabv3+) method. The results suggest that a high GVI and high traffic congestion on the route from the visitor's home to the urban park led to an increased probability of visiting the urban park by 188.1% (p = 0.044, OR = 2.881) and a decreased probability by 32.3% (p = 0.049, OR = 0.677), respectively. The high probability of visitation was also associated with socio-demographic attributes (including male gender, high income, high and medium education levels, and the elderly) and short travel distances.

Healthcare accessibility and equality have attracted extensive attention, but few in metropolitan areas, which are characterized by intense intercity connections. Despite of the policy focus on intercity patient mobility in metropolitan areas, the quantitative impact of intercity patient mobility on healthcare accessibility and equality remains understudied. This study develops a comprehensive framework to quantify such impacts by comparing two scenarios (i.e., intercity and intracity) of accessibility to existing and optimized healthcare services. A two-step optimization method, integrating efficiency and equality, is applied to optimize healthcare resources. These analyses are conducted within the context of the Shenzhen metropolitan area. The results reveal that intercity patient mobility can improve efficiency and equality of healthcare accessibility to existing services by 8% and 6%, respectively. Furthermore, optimization that considers intercity patient mobility can improve healthcare accessibility efficiency and equality by 37% and 19% compared to the status quo. The framework and methods developed in this study are valuable for measuring and optimizing healthcare accessibility in metropolitan areas, which is transferrable to other areas with significant regional disparity. This study also provides quantitative evidence of the positive effects of intercity patient mobility on healthcare efficiency and equality in metropolitan areas, which is fundamental for policymaking and planning.

This study focuses on the contradiction of mobility and immobility in relation to interred human remains. While society generally embraces human mobility, once individuals pass away and are disposed of, mobility ceases to be the norm. Some counties, like Sweden, has a rigid burial legislation that prohibits the re-location of interred human remains. However, both society- and climate-related events are increasingly affecting the eternal rest of the deceased. Utilizing quantitative data on all cemeteries in Sweden, this study aims to assess and analyse the potential magnitude of future large-scale moves of human remains due to expected impacts of climate change, and to put this into a relational context of norms and laws. Results show that climate change poses an apparent risk to cemeteries in Sweden, especially in the south-west of the country, and that this is mainly caused by increased risk of landslides and erosion, as a result of expected increased precipitation. A low estimate state that by the end of this century, some 30.000 interred remains and some 146.000 living survivors will likely be affected by climate-related risks.