Search Results (71)

In recent years, as Chinese cities have entered a stage of high-quality transformation, enhancing livability and achieving refined governance within existing urban spaces has become a central issue in urban planning and management. The establishment of the Urban Physical Examination mechanism has provided a scientific framework for evaluating urban performance. However, most existing studies focus primarily on objective indicators, paying insufficient attention to residents’ subjective perceptions and their spatial variations. As a result, the multi-scale mechanisms underlying human settlement satisfaction remain poorly understood. Using Xiamen City as a case, this study draws on data from the 2025 Urban Physical Examination Resident Survey and constructs a Geographically Random Forest (GRF) model to examine how block, community, housing, and personal attributes jointly shape human settlement satisfaction (HSS) and its spatial heterogeneity. The results show that (1) overall, block’ business vitality is the most influential factor affecting HSS, followed by community management and housing safety, highlighting the dominant roles of the built environment and grassroots management in shaping residential experience; (2) management and safety issues at the community level are more prominent in suburban areas, old neighborhoods, and zones surrounding tourist attractions, reflecting a mismatch between service provision and urban expansion; (3) housing-scale factors display significant spatial variation, with tenure and housing affordability emerging as key determinants of satisfaction among residents in newly developed districts; and (4) at the personal characteristic, age, residential duration, occupational prestige, and household income exhibit marked spatial heterogeneity, revealing satisfaction patterns jointly shaped by social mobility and urban growth. The study concludes that multi-scale spatial identification and resident perception feedback mechanisms should be strengthened within the Urban Physical Examination framework. Such efforts can promote a shift from static indicator monitoring to dynamic spatial governance, providing theoretical and methodological support for refined urban management and the improvement of human settlement environments. Full article

Against the backdrop of Shenzhen’s high-density urban environment, the multifunctional design of water purification plants offers dual benefits: providing residents with urban green spaces while simultaneously mitigating NIMBY sentiments due to their inherent characteristics. Unlike traditional urban development, Shenzhen’s water purification plants integrate into residents’ daily lives. Therefore, optimizing the built environment and road network structure to enhance residents’ perceptions of proximity benefits while reducing NIMBY (Not In My Backyard effect) sentiments holds significant implications for the city’s sustainable development. To address this question, this study adopted the following three-step mixed-methods approach: (1) It examined the relationships among residents’ YIMBY (Neighboring Benefits Effect) and NIMBY perceptions, perceptions of park spaces atop water purification plants, and perceptions of accessibility through questionnaire surveys and structural equation modeling (SEM), establishing a scoring framework for comprehensive YIMBY and NIMBY perceptions. (2) Random forest models and Shapley Additive Explanations (SHAP) analysis revealed nonlinear relationships between the built environment and composite YIMBY and NIMBY perceptions. (3) Spatial syntax analysis categorized the upgraded road network around the water purification plant into grid-type, radial-type, and fragmented-type structures. Scatter plot fitting methods uncovered relationships between these road network types and resident perceptions. Finally, negative perceptions were mitigated by optimizing path enclosure and reducing visual obstructions around the water purification plant. Enhancing neighborhood benefits—through improved path safety and comfort, increased green spaces and resting areas, optimized path networks, and diversified travel options—optimized the built environment. This approach proposes design strategies to minimize NIMBY perceptions and maximize YIMBY perceptions. Full article

Street design quality and socio-economic factors jointly influence housing prices, but their intertwined effects and spatial variations remain under-quantified. Housing prices not only reflect residents’ neighborhood experiences but also stem from the spillover value of public streets perceived and used by different users. This study takes Tianjin as a case and views the street environment as an immediate experience proxy for through-travelers, combining street view images and crowdsourced perception data to extract both subjective and objective indicators of the street environment, and integrating neighborhood and location characteristics. We use Geographical-XGBoost to evaluate the relative contributions of multiple factors to housing prices and their spatial variations. The results show that incorporating both subjective and objective street information into the Hedonic Pricing Model (HPM) improves its explanatory power, while local modeling with G-XGBoost further reveals significant heterogeneity in the strength and direction of effects across different locations. The results indicate that incorporating both subjective and objective street information into the HPM enhances explanatory power, while local modeling with G-XGBoost reveals significant heterogeneity in the strength and direction of effects across different locations. Street greening, educational resources, and transportation accessibility are consistently associated with higher housing prices, but their strength varies by location. Core urban areas exhibit a “counterproductive effect” in terms of complexity and recognizability, while peripheral areas show a “barely acceptable effect,” which may increase cognitive load and uncertainty for through-travelers. In summary, street environments and socio-economic conditions jointly influence housing prices via a “corridor-side–community-side” dual-pathway: the former (enclosure, safety, recognizability) corresponds to immediate improvements for through-travelers, while the latter (education and public services) corresponds to long-term improvements for residents. Therefore, core urban areas should control design complexity and optimize human-scale safety cues, while peripheral areas should focus on enhancing public services and transportation, and meeting basic quality thresholds with green spaces and open areas. Urban renewal within a 15 min walking radius of residential areas is expected to collaboratively improve daily travel experiences and neighborhood quality for both residents and through-travelers, supporting differentiated housing policy development and enhancing overall quality of life. Full article

This study investigates shopping behaviors for essential services among Black middle-class homeowners in Ward 8, Washington, D.C., a historically underinvested neighborhood experiencing a rise in Black homeownership. The research examines how these residents manage limited local retail options, address safety concerns, and evaluate quality perceptions when choosing where to shop. Using survey data from 58 homeowners, we categorized shopping patterns into Inside-only, Mixed, and Outside-only. Exploratory factor analysis identified three main motivational factors: Service & Quality, Access & Convenience, and Economic. Multinomial logistic regression showed that higher scores on the Access & Convenience factor significantly increased the likelihood of Outside-only shopping (OR = 1.67, p = 0.02), while residential tenure showed a non-significant trend toward predicting Mixed shopping. To explain these findings, we introduce the concept of the “Small Spatial World^TM,” an adaptation of Chatman’s Small World theory, to describe how routine spatial behaviors, not social networks, shape resource gathering in limited urban settings. These behaviors reflect the ongoing impact of racial capitalism and spatial disinvestment, which limit consumer choice even among middle-class residents. This research advances urban studies by uniquely examining the consumption patterns of Black middle-class homeowners in a racially homogenous yet structurally disinvested community, linking race, space, and class in daily consumption, and advocating for targeted retail investments to foster equitable, community-focused development. Full article

Amid the increasing complexity of urban risks, urban parks not only serve ecological and recreational functions but are increasingly becoming a critical spatial foundation supporting public psychological resilience and social recovery. This study aims to systematically evaluate the daily adaptability of urban parks in the context of micro-risks. The research integrates the theories of “restorative environments,” environmental safety perception, urban resilience, and social ecology to construct a five-dimensional framework for perceived resilience, encompassing resilience, safety, sociability, controllability, and adaptability. Additionally, a dynamic feedback mechanism of perception–behavior–reperception is introduced. Methodologically, the study utilizes the Fuzzy Delphi Method (FDM) to identify 17 core indicators, constructs a causal structure and weighting system using DEMATEL-based ANP (DANP), and further employs the VIKOR model to simulate public preferences in a multi-criteria decision-making process. Taking three representative urban parks in Guangzhou as empirical case studies, the research identifies resilience and adaptability as key driving dimensions of the system. Factors such as environmental psychological resilience, functional diversity, and visual permeability show a significant path influence and priority intervention value. The empirical results further reveal significant spatial heterogeneity and group differences in the perceived resilience across ecological, neighborhood, and central park types, highlighting the importance of context-specific and user-adaptive strategies. The study finally proposes four optimization pathways, emphasizing the role of feedback mechanisms in enhancing urban park resilience and shaping “cognitive-friendly” spaces, providing a systematic modeling foundation and strategic reference for perception-driven urban public space optimization. Full article

Several studies in the literature have emphasized that public open spaces, such as recreational parks in residential neighborhoods, play a crucial role in enhancing social interaction among residents. As such, access to these parks is a key factor that may influence their use and, in turn, affect the quality of social engagement within the community. Traditional approaches to park accessibility, which focus solely on physical distance, have notable limitations, as proximity alone does not reliably predict park usage. Therefore, physical accessibility should be complemented by assessments of perceived or psychological accessibility. This study is designed to propose a framework for enhancing social interaction through improved access to recreational parks in the residential neighborhoods of the Dammam Metropolitan Area (DMA). It employs a mixed-methods approach comprising two primary methodologies: (1) observational behavioral mapping to identify key influencing factors based on user activities within the selected case study areas, and (2) an end-user questionnaire survey analyzed through inferential statistics, specifically Analysis of Variance (ANOVA), to assess residents’ perceptions of park accessibility and social interaction. The results indicate that adequate park maintenance significantly improves physical accessibility, while elements such as safety are essential for fostering psychological comfort. The ANOVA results yielded an F-value of 4.72 and a p-value of 0.00, confirming a statistically significant effect of the park’s physical features on facilitating social contact among local residents. The study presents a framework that integrates key demographic and social factors influencing park usage, advocating for infrastructure improvements aligned with user perceptions to foster greater community engagement. It highlights that addressing psychological barriers is just as important as making physical enhancements to achieve effective park accessibility. By combining physical design, demographic insights, and user experiences, the framework serves as a practical guide for planning inclusive and socially responsive public spaces. This research contributes to the fields of urban planning, social sustainability, and environmental psychology by offering localized insights and practical tools for implementation. Future research is recommended to further refine urban strategies that promote equitable access to recreational parks, particularly by addressing demographic-specific needs and psychological barriers that influence social interaction in open spaces. Full article

This research assesses the involvement of green urban spaces in creating social interaction among the residents of a neighborhood. It emphasizes the significance of urban parks, particularly in the context of Saudi Arabia’s New Vision 2030, and showcases the proactive approach of Jubail Industrial City in planning and distributing parks. The study delves into the legibility of parks, exploring factors that impact user experiences, including accessibility and amenities. It highlights how park design can influence social interactions. Furthermore, the research underscores the importance of social interaction within neighborhood parks, especially among diverse cultural and age groups. The results prove to be a significant output for future use in enhancing the quality of green spaces and providing efficient means of social interaction among people. The study’s findings, such as increased social interaction with diverse amenities and improved safety perceptions, contribute to sustainable urban planning by fostering social cohesion, enhancing ecological benefits through tree cover, and building community resilience, aligning with Vision 2030’s sustainability goals. Recommendations are provided to improve the park user experience and promote increased utilization of neighborhood parks. Full article

The way individuals perceive and interact with the food environment can contribute to a higher prevalence of food insecurity (FI). Objective: To evaluate the perception of the food environment and its association with FI in households in the city of Rio de Janeiro, Brazil. Methods: Cross-sectional study. The survey was conducted with a sample of 2000 households, a representative stratified sample, with a margin of error of 4.9 percentage points and a 95% confidence interval (CI95%) in the city of Rio de Janeiro. The studies were evaluated using the Brazilian Food Insecurity Scale (EBIA). Perceptions of the food environment were measured by assessing the perceived availability, price, and quality of fruits and vegetables (FVs) and ultra-processed foods (UPFs) sold in the neighborhood. To analyze the association between stage variations and the perceived food environment, we conducted multinomial logistic regression, considering a 95%CI. Results: Household heads in Rio de Janeiro perceive that both FVs and UPFs are available in their neighborhoods. However, UPFs are perceived as cheaper and more diverse than FVs, regardless of the level of food safety. In the association analysis, a greater relative risk ratio was found for heads of households who perceive an unfavorable scenario in the food environment for FVs, in terms of availability (RRR = 5.6; 95%IC: 3.0–10.4), quality (RRR = 4.5; 95%IC: 2.6–7.9), and price (RRR = 2.5; 95%IC: 1.7–3.6), to experience a situation of moderate/severe FI. Conclusions: The way individuals interact with and perceive their territories can reflect on access to adequate and healthy food, especially in households in a situation of FI. Full article

Rapid ribbon development in Qasimabad Taluka, Hyderabad, has resulted in fragmented neighborhoods due to unplanned urban expansion. This study evaluates the critical factors influencing social sustainability in residential communities, focusing on neighborhood connectivity, safety, and green spaces. Employing a quantitative approach, data were collected through quota sampling from 5–7% of government-approved housing schemes in Qasimabad. A Satisfaction Index was developed to assess residents’ perceptions of accessibility, safety, amenities, and community engagement and analyzed via SPSS-22. Key findings revealed severe dissatisfaction: only 19% of private vehicle users reported satisfaction, while over 60% rated pedestrian and cycling infrastructure as inadequate. Green spaces intended for communal use deteriorated, causing a 21.58% reduction in satisfaction. Despite moderate daytime safety ratings (+53.95%), the overall social sustainability index remained negative (−148.61%). This study underscores the urgency of integrated urban strategies—enhancing accessibility, revitalizing green spaces, improving safety measures, and fostering community engagement—to address fragmentation and achieve socially sustainable neighborhoods. Full article

Most of the time, urban planning tends to exclude the specific needs and perceptions of women, resulting in spaces that fail to meet their safety needs. This study explores the impact of physical environment factors on women’s safety perceptions in neighborhood parks in Jordan. While a few studies on this topic have been conducted in Jordan, this research makes a unique contribution by focusing on the interaction between physical design factors and demographic characteristics, examining how these factors influence women’s safety perceptions. Focusing on women’s safety in neighborhood parks, a survey was conducted and involved a sample of 380 women, using a random sampling method. confirmatory factor analysis (CFA) was employed to identify underlying relationships between safety-related factors, while cluster analysis was used to group women based on their shared safety perceptions. The results revealed statistically significant differences and identified five distinct clusters, demonstrating varied perceptions of safety among women. This study emphasizes the importance of tailoring park designs to meet women’s specific safety needs, recognizing the diversity of priorities across demographic groups. The findings offer actionable insights for urban planners and policymakers, guiding the development of safer public spaces that respond to the varied needs of women. Full article

Modern and smart cities prioritize providing sufficient facilities for inclusive and bicycle-friendly streets. Several methods have been developed to assess city bicycle environments at street, neighborhood, and city levels. However, the importance of micro-level indicators and bicyclists’ perceptions cannot be neglected when developing a bikeability index (BI). Therefore, this paper proposes a new BI method for evaluating and providing suggestions for improving city streets, focusing on bicycle infrastructure facilities. The proposed BI is an analytical system aggregating multiple bikeability indicators into a structured index using weighed coefficients and scores. In addition, the study introduces bicycle infrastructure indicators using five bicycle design principles acknowledged in the literature, experts, and city authorities worldwide. A questionnaire was used to collect data from cyclists to find the weights and scores of the indicators. The survey of 383 participants showed a balanced gender distribution and a predominantly younger population, with most respondents holding bachelor’s or master’s degrees and 57.4% being students. Most participants travel 2–5 km per day and cycle 3 to 5 days per week. Among the criteria, respondents graded safety as the most important, followed by comfort on bicycle paths. Confirmatory factor analysis (CFA) is used to estimate weights of the bikeability indicators, with the values of the resultant factor loadings used as their weights. The highest-weight indicator was the presence of bicycle infrastructure (0.753), while the lowest-weight indicator was slope (0.302). The proposed BI was applied to various bike lanes and streets in Hasselt, Belgium. The developed BI is a useful tool for urban planners to identify existing problems in bicycle streets and provide potential improvements. Full article

This pilot study investigated whether good and bad access to waterbodies and parks have different impacts on walking and cycling in neighborhoods in urban areas. Focusing on Paris, France, the neighborhoods were classified based on their access to the two natural environments through GIS analysis. Active mobility, past behavior, trip purpose, and subjective evaluation were collected through an online survey. The subjective evaluation included infrastructure satisfaction and the perception of transport mode choice, urban area aesthetic level, safety, health, and preference for active mobility over car use. Descriptive analyses, Mann–Whitney tests, and Fisher’s exact tests were conducted to compare between two access groups and between cycling and walking. Active mobility was mainly performed for utilitarian purposes. Weekly cycling frequency was found to be lower than walking. Access to natural environments mainly impacts walking. Contrary to general belief, cycling frequency is higher in neighborhoods with bad access to waterbodies than in ones with good access. Contrary to expectations, this study found little significant effect on active mobility in the accessibility to both natural environments. This study also highlights the influence of dominant active mobility purposes in urban areas with respect to access to natural environments, and provides a subjective evaluation for active mobility. Full article

Background: Identifying the correlates of exercise behavior is essential to combating physical inactivity as a public health concern. The purpose of this study is to identify the correlates of physical activity among urban Chinese adults under the social-ecological theoretical model in order to facilitate targeted interventions to promote physical activity. Methods: Using the socio-ecological model, we conducted a questionnaire survey among 1459 urban residents in Zhejiang and Shaanxi provinces of China, collecting data on individual demographic factors, sociological factors, environmental perception, and exercise behavior. Binary logistic regression models were employed to analyze the relationships between exercise behavior and socio-ecological factors. Results: Male gender (p < 0.01), advanced age (p < 0.001), higher education level (p < 0.05), living independently from parents (p < 0.05), absence of childcare responsibilities (p < 0.01), residence in a county/prefecture-level city (p < 0.001), favorable neighborhood esthetics (p < 0.001), available greenways/parks (p < 0.001), and family support for exercise participation (p < 0.05) were significantly correlated with an increased likelihood of participating in physical activity. Male gender (p < 0.001), advanced age (p < 0.001), absence of childcare responsibilities (p < 0.05), good neighborhood vegetation (p < 0.01), availability of free neighborhood exercise facilities (p < 0.05), and support from friends for exercise participation (p < 0.01) were significantly correlated with an increased likelihood of engaging in physical activity for more than 150 min per week. BMI, community air quality, traffic safety, public safety, and level of social development were not major correlates. Conclusions: To promote exercise behavior, more attention should be paid to individuals who are female, young, have lower levels of education, bear childcare responsibilities, or reside in provincial capitals in China. Improving the habitat environment and providing convenient and affordable facilities should also be considered. Furthermore, support from family and friends can positively reinforce exercise behavior. Full article

Solitary deaths, where individuals die alone and are isolated from the society, have emerged as a major social issue in South Korea. This study aimed to analyze the characteristics, perceptions, and living environments of socially vulnerable groups at risk of solitary deaths, focusing on comparing two neighborhood areas with different housing types to understand regional differences. In-depth interviews were conducted with 100 single-person households in the low-rise residential area of Sadang 4-dong and the public rental apartment area of the Gayang 5 apartment complex. The survey analysis revealed significant regional differences in factors that could influence the prevention of solitary deaths, including the connectivity between units within buildings, visual isolation, the control of appropriate indoor environments, and the frequency of social interactions. Although the Gayang 5 apartment complex, a public rental housing which is over 30 years old, offers advantages in residential safety and building maintenance compared to the low-rise residential area, this positively impacts aspects like housing satisfaction and increased social interactions. Single-person households living in multi-family and multi-household housing in low-rise residential areas generally experience poorer living environments, highlighting the need for more detailed services. These services should include enhanced support for heating and cooling costs, strengthened care services, and improved social networks. For preventing solitary deaths, region-specific strategies and screening tools are required to tailor interventions more effectively. Full article

This study evaluates the impact of urban migration on the mental health of young women, focusing specifically on how objective life stressors, perceived neighborhood safety, and subjective socioeconomic status influence depression. Depression is the main outcome measure in this research, serving as a critical indicator of mental health in the context of urban migration. Utilizing a stratified cluster sampling approach, we collect data from 2138 young female migrants in Bao’an District, Shenzhen, employing the Life Stress Scale, Patient Health Questionnaire-9 items, Perceived Neighborhood Safety Scale, and Subjective Social Economic Status Scale to assess the corresponding constructs. Our findings highlight that life stressors directly contribute to increased depression levels among young female migrants, with perceived neighborhood safety significantly mediating this relationship. Furthermore, subjective socioeconomic status moderates the impact of life stressors on perceived neighborhood safety, underlining the intricate dynamics between objective life stressors and the social-environmental context in shaping mental health outcomes. This research underscores the importance of creating supportive and inclusive social environments to mitigate the adverse psychological effects of life stressors on young female migrants, thereby contributing to discussions on sustainability and social welfare. Full article