Search Results (68)

Urban vitality serves as an important indicator for evaluating the level of urban quality development and sustainability. In response to a series of urban challenges arising from rapid urban expansion, enhancing urban quality and fostering urban vitality have become key objectives in contemporary urban planning and development. This study summarizes the spatial distribution patterns of urban vitality at the street and neighborhood levels in the central area of Qingdao, and analyzes their spatial characteristics. A 5D built environment indicator system is constructed, and the effects of the built environment on urban vitality are explored using the Optimal Parameter Geographic Detector (OPGD) and the Multi-Scale Geographically Weighted Regression (MGWR) model. The aim is to propose strategies for enhancing spatial vitality at the street and neighborhood scales in central Qingdao, thereby providing references for the optimal allocation of urban spatial elements in urban regeneration and promoting sustainable urban development. The findings indicate the following: (1) At both the subdistrict and block levels, urban vitality in Qingdao exhibits significant spatial clustering, characterized by a pattern of “weak east-west, strong central, multi-center, cluster-structured,” with vitality cores closely aligned with urban commercial districts; (2) The interaction between the three factors of functional density, commercial facilities accessibility and public facilities accessibility and other factors constitutes the primary determinant influencing urban vitality intensity at both scales; (3) Commercial facilities accessibility and cultural and leisure facilities accessibility and building height exert a positive influence on urban vitality, whereas the resident population density appears to have an inhibitory effect. Additionally, factors such as building height, functional mixing degree and public facilities accessibility contribute positively to enhancing urban vitality at the block scale. (4) Future spatial planning should leverage the spillover effects of high-vitality areas, optimize population distribution, strengthen functional diversity, increase the density of metro stations and promote the coordinated development of the economy and culture. Full article

Urban commercial districts, with their unique characteristics, serve as a reflection of broader urban development patterns. However, only a handful of studies have harnessed point-of-interest (POI) data to model the intricate relationship between retail commercial space types and other factors. This paper endeavors to bridge this gap, focusing on the influence of urban development factors on retail commerce districts through the lens of POI data. Our exploration underscores how commercial zones impact the density of residential neighborhoods and the coherence of pedestrian pathways. To facilitate our investigation, we propose an ensemble clustering technique for identifying and outlining urban commercial areas, including Kernel Density Analysis (KDE), Density-based Spatial Clustering of Applications with Noise (DBSCAN), Geographically Weighted Regression (GWR). Our research uses the city of Manchester as a case study, unearthing the relationship between commercial retail catchment areas and a range of factors (retail commercial space types, land use function, walking coverage). These include land use function, walking coverage, and green park within the specified areas. As we explore the multiple impacts of different urban development factors on retail commerce models, we hope this study acts as a springboard for further exploration of the untapped potential of POI data in urban business development and planning. Full article

Urban vulnerability creates structural imbalances, leading to unsafe conditions and urban decline. One of the key root causes of urban vulnerability is significant changes in urban layout morphology, which significantly influences the determination of accessibility potential, causing some areas to grow while others decline. This study aims to examine the morphological structural factors that influenced physical vulnerability, with a focus on commercial buildings, which were affected by the transformation of urban structure resulting from the layout and connectivity of the transportation network at the global, local, and community levels, depending on their location; these factors contribute to spatial vulnerability in varying degrees. This study applied an indicator-based quantitative research methodology, constructing a Physical Vulnerability Index (PVI) by using Principal Component Analysis (PCA) to create new factors or components and compare physical vulnerability levels across different areas. The research findings found that the most influential morphological structural factor on physical vulnerability was micro-level morphology, primarily due to the relationship between the configuration of space and the level of usage popularity. The second most influential factor is macro-level morphology, resulting from the relationship between the accessibility potential of urban-level and neighborhood-level transportation networks. Full article

Urban regeneration is pivotal to sustainable development, requiring innovative strategies that align social dynamics with spatial configurations. Traditional paradigms increasingly fail to tackle systemic challenges—neighborhood alienation, social fragmentation, and resource inequality—due to their inability to integrate human-centered spatial governance. This study addresses these shortcomings with a novel multidimensional framework that merges social perception (life satisfaction) analytics with spatial quality (GIS-based) assessment. At its core, we utilize geospatial and machine learning models, deploying an ensemble of Gradient Boosted Decision Trees (GBDT), Random Forest (RF), and multiscale geographically weighted regression (MGWR) to decode nonlinear socio-spatial interactions within Suzhou’s community environmental matrix. Our findings reveal critical intersections where residential density thresholds interact with commercial accessibility patterns and transport network configurations. Notably, we highlight the scale-dependent influence of educational proximity and healthcare distribution on community satisfaction, challenging conventional planning doctrines that rely on static buffer-zone models. Through rigorous spatial econometric modeling, this research uncovers three transformative insights: (1) Urban environment exerts a dominant influence on life satisfaction, accounting for 52.61% of the variance. Air quality emerges as a critical determinant, while factors such as proximity to educational institutions, healthcare facilities, and public landmarks exhibit nonlinear effects across spatial scales. (2) Housing price growth in Suzhou displays significant spatial clustering, with a Moran’s I of 0.130. Green space coverage positively correlates with price appreciation (β = 21.6919 ***), whereas floor area ratio exerts a negative impact (β = −4.1197 ***), highlighting the trade-offs between density and property value. (3) The MGWR model outperforms OLS in explaining housing price dynamics, achieving an R² of 0.5564 and an AICc of 11,601.1674. This suggests that MGWR captures 55.64% of pre- and post-pandemic price variations while better reflecting spatial heterogeneity. By merging community-expressed sentiment mapping with morphometric urban analysis, this interdisciplinary research pioneers a protocol for socio-spatial integrated urban transitions—one where algorithmic urbanism meets human-scale needs, not technological determinism. These findings recalibrate urban regeneration paradigms, demonstrating that data-driven socio-spatial integration is not a theoretical aspiration but an achievable governance reality. Full article

The discharge of wastewater into bodies of water and subsoil poses a serious pollution problem. In many neighborhoods or districts, there are often no wastewater treatment systems due to the high costs involved, which may compromise human health. Constructed wetlands (CWs) offer an ecological solution to improve water quality and enable its reuse. They promote the removal of contaminants through physical, chemical, and biological processes. The objective of this study was to evaluate Canna hybrids, Zingiber spectabile, and Alpinia purpurata—ornamental plants not typical of wetlands—regarding their function as phytoremediators and their growth under such conditions. Utilizing CWs with ornamental plants for water treatment in neighborhoods could improve the adoption of this ecotechnology. To this end, eight cells were built: two were controls (without plants), two contained Canna hybrids, two had Zingiber spectabile, and two included Alpinia purpurata, all designed for a hydraulic retention time of three days. Inlet and outlet water samples were collected biweekly for six months. The results showed that the cells with Canna hybrids and Zingiber spectabile removed from 40 to 70% of total nitrogen and phosphorus. In terms of organic matter, measured as COD and TSS, the removals ranged from 55 to 90%. In contrast, cells with Alpinia purpurata demonstrated removal rates of only 30 to 50%, which were statistically lower (p ≤ 0.05), indicating a slower adaptation to wetland conditions. This slower adaptability is directly related to the growth of the species, as Alpinia purpurata also exhibited the lowest growth rates. The study concluded that using CWs with the studied ornamental plants is a viable alternative for treating wastewater and, at the same time, they may add a commercial value to the vegetation. Additionally, they can enhance the aesthetic landscape with colorful flowers that attract birds and insects and the treated water could be utilized to irrigate sports areas or urban planters. Full article

The contradiction between urban density and sustainable environmental development is increasingly prominent. Although numerous studies have examined the impact of urban density on air pollution at the macro level, most previous research at the micro scale has either neglected socioeconomic factors, failed to analyze heterogeneous effects, or ignored historic neighborhoods where high pollution coexists with high density. By considering population, commercial buildings, vegetation, and road factors, an integrated social-biophysical perspective was introduced to evaluate how urban density influences PM_2.5 concentration in a historic neighborhood. The study area was divided into 56 units of 120 m × 150 m granularity, as determined by the precision of the LBS population data. The lasso regression and quantile regression were adopted to explore the main factors affecting PM_2.5 and their heterogeneous effects. The results showed that (1) building density was the most important driving factor of pollutants. It had a strong and consistent negative effect on PM_2.5 concentrations at all quantile levels, indicating the homogeneity effect. (2) Short-term human mobility represented by the visiting population density was the second main factor influencing pollutants, which has a significantly positive influence on PM_2.5. The heterogeneous effects suggested that the areas with moderate pollution levels were the key areas to control PM_2.5. (3) Vegetation Patch Shape Index was the third main factor, which has a positive influence on PM_2.5, indicating the complex vegetation patterns are not conducive to PM_2.5 dispersion in historic neighborhoods. Its heterogeneous effect presented a curvilinear trend, peaking at the 50th quantile, indicating that moderately polluted areas are the most responsive to improvements in vegetation morphology for PM_2.5 reduction. These findings can provide effective support for the improvement of air quality in historical neighborhoods of the city’s central area. Full article

This study adopts neighborhood blocks as the object of study, with the aim of investigating their thermal environment. In addition, the spatial configuration of various lands and the spatial configuration of building combinations are analyzed. The ideal model is then researched, and ENVI−met is used to create a simulation. A statistical analysis reveals a discernible correlation between the direction of the land, the layout of the building plane, floor height, average building height, the building density index, and the thermal environment. However, no such correlation was found between land area, land shape, floor height, and the thermal environment of neighborhood blocks. This study determined that to optimize the thermal environment of neighborhood blocks, it is imperative to construct a 250 m × 150 m road network system during the controlled detailed planning and block design stages. The road network should not run in the south-north direction, and the arrangement of neighborhood blocks should be integrated with urban wind corridors to mitigate the generation of a heat island effect caused by large concentrated residential areas. The combination that increases average building height and reduces building density should be selected, and the building enclosure and layout of ground-floor commercial buildings should be appropriately increased, positioned parallel to the dominant wind direction. Full article

Urban diversity is essential for promoting urban vitality and achieving sustainable urban development. However, existing studies rely on static and non-visual data and seldom incorporate human perception aspects in the diversity estimation. Together with the modifiable areal unit problem (MAUP) in the traditional entropy-based approach, urban diversity is prone to be biased or underestimated. In this study, we use urban function (from POI) and visual semantics (from geo-tagged photos) to estimate what we call “perceived urban diversity”. More importantly, we propose to improve the traditional entropy-based diversity measures by addressing the MAUP issue using area- and accessibility-based extensions. Empirical analysis using Shenzhen, China, as a case study reveals that our “perceived diversity” indicators display stronger correlations to urban vitality. Furthermore, combining different data sources (e.g., geo-tagged photos) provides a more comprehensive portrayal of urban diversity. Finally, our results suggest that neighborhoods dominated by residential or commercial land uses would benefit the most from enhanced diversity. These findings are useful for a refined assessment of urban diversity and offer valuable insights for urban planning and community design. Full article

Intergenerational sharing promotes social cohesion within communities by encouraging dialogue and understanding across different age groups. Nevertheless, existing research has inadequately delved into the human experiences and meaning-making processes that underpin intergenerational sharing, leading to a limited grasp of effective design intervention strategies in community spaces. This study aimed to explore the environmental and social factors influencing intergenerational interactions in community public spaces in Changsha, China, addressing two primary questions: (1) What environmental factors shape intergenerational sharing behaviors? (2) What design strategies can enhance intergenerational sharing in community public spaces? This research employed a mixed-methods approach, including qualitative observation and quantitative importance–performance analysis (IPA) through a survey of 212 residents, to investigate the intergenerational sharing needs of residents. To begin with, the study conducted a detailed analysis of the characteristics and variations in Changsha’s community public spaces. The finding revealed notable disparities in intergenerational sharing behaviors among three types of community spaces: traditional, commercial housing, and integrated neighborhoods. Through environmental behavior observation and IPA, key environmental factors influencing intergenerational sharing behaviors were identified, emphasizing areas for improvement. Based on these findings, the study proposed a design framework consisting of community planning and design, spatial layout and facility construction, and community management, with nine targeted strategies to optimize environmental factors for intergenerational sharing to cater to the unique characteristics of different community types. These findings can deepen our understanding of intergenerational sharing mechanisms and offer practical recommendations for fostering stronger interactions, providing valuable insights for future community public space design. Full article

Urban planning in China is shifting from an administrative unit-based approach to community life circle planning, aiming to align planning units with residents’ actual activity ranges. As the most fundamental life circle, daily life circle (DLC) planning must adopt a bottom-up approach. However, the widely applicable methods for delineating DLCs remain lacking. This study presents a strategy for delineating DLCs centered on neighborhood commercial areas that aggregate essential daily life services. Correspondingly, a method is proposed for identifying neighborhood commercial areas based on residents’ actual usage of facilities. The method was applied in Qinhuai District, Nanjing, where neighborhood commercial areas were identified and the factors influencing their formation and types were quantitatively analyzed. The results indicate the following: (1) the proposed method accurately identifies neighborhood commercial areas that can serve as DLC central areas; (2) commercial diversity, public transportation stops, and parking spots are the three most influential factors in neighborhood commercial area formation, exhibiting non-linear and threshold effects; and (3) the type of neighborhood commercial areas varies by population density, housing prices, and street betweenness, with betweenness being the most significant factor. These findings provide methods and indicators for DLC delineation and planning, contributing to the realization of the DLC construction concept. Full article

This study examines the interplay between Airbnb and gentrification in Thessaloniki and Greece, focusing on their economic and social impacts on urban neighborhoods. Utilizing data from 110 online publications and qualitative insights from ten semi-structured interviews with real estate agents, Airbnb stakeholders, residents, and experts, the research provides a nuanced view of these dynamics. The findings suggest that Airbnb influences housing markets by driving up rental and home prices, potentially exacerbating housing scarcity and displacing vulnerable populations in gentrifying areas. While this aligns with the existing literature, the results remain tentative due to the complexities involved. The trend toward corporate-hosted short-term rentals appears to shift Airbnb away from its original community-focused model, though this shift is still evolving. The COVID-19 pandemic introduced changes, such as a move from short-term to long-term rentals and the conversion of commercial spaces to residential use, impacting neighborhood dynamics. However, these effects may be temporary and do not fully address broader housing issues. While an oversupply of Airbnb accommodations might stabilize rental prices to some extent, its impact on the overall housing crisis remains uncertain. Future research should investigate the long-term effects on housing affordability and social equity, considering the limitations of current findings. Full article

As street space is the most accessible outdoor area for kids, safeguarding their rights and interests on the streets is paramount for fostering kid-friendly communities. However, due to the absence of public space and inadequate security, the streets in historic neighborhoods are unsuitable for kids’ activities. To uncover the crucial influence of the street environment on children’s physical activity and Body Mass Index (BMI) health, we conducted a questionnaire survey for children aged 6–12 residing in the Xi’an Ming Dynasty City Wall Historical and Cultural Neighborhood (XMDN) and collected 343 valid responses. The analysis delved into children’s BMI statuses, their willingness to engage in street activities (WAS), the frequency (AF), duration (AD), and types (AT) of these activities, as well as their satisfaction with the street environment (SE). Using binary logit and linear regression models, we specifically examined the relationships between children’s BMI health, WAS, AT, AF, AD, and SE satisfaction. The key findings emphasize children’s inherent desire to be active on the streets. Based on the research findings, we suggest reducing traffic speed and widening sidewalks to make children’s street activities safer, optimizing street greening to improve the comfort of children’s activities, and enriching commercial activities on the street to create a fun atmosphere. These measures will collectively increase the duration and frequency of their outdoor activities and contribute to the overall improvement of children’s health and well-being. Full article

This study examines the impact of spatial characteristics on gendered retail consumption in Seoul, South Korea, providing empirical evidence for gender-sensitive urban planning. Gender-sensitive urban planning integrates gender perspectives into all stages of urban development, aiming to address the diverse needs and experiences of all genders spatially. While existing research has predominantly focused on gender differences in labor participation, this study shifts the focus to retail consumption, which is a critical aspect of daily life. Our research analyzes the spatial attributes of urban spaces at the neighborhood scale and their influence on aggregated retail consumption by gender. The aggregated retail sales by census output area (jipgyegu) represent the aggregated retail consumption. Utilizing spatial regression methods, this study identifies significant spatial autocorrelations and clustering patterns in retail sales data. The findings reveal that traditional markets, less-developed commercial areas, and specific retail sector (retailing, medical, and educational services) densities positively impact SMW (subtraction of men’s retail sales from women’s retail sales), while city center areas, developed commercial districts, special tourism zones, and specific retail sector (restaurants and entertainment) densities have negative impacts. Full article

With the increase in car domination, air pollution, traffic congestion, and urban sprawl, sustainable, livable, creative, and walkable cities are critical, now more than ever, for improving quality of life. The effect of neighborhood urban morphologies on walkability has received much attention in recent years. In this vein, the main research question is: how do different neighborhood urban morphologies impact the level of walkability in urban environments, and what are the essential elements impacting the walkability index? Thus, this research aims to determine the impact of urban morphology on walkability in the city of Alexandria, Egypt, as a case study by utilizing multi-spatial analysis. In particular, the study focused on assessing the walkability of four different study areas that vary according to their urban morphology: Kafr–Abdo, Smouha, Latin Quarter, and Roushdy areas. The analysis utilized GIS to calculate a number of indicators to reach the final walkability index for each study area. Results helped to identify the neighborhoods characterized by the lowest level of pedestrian walkability in relation to the area’s urban morphology in an attempt to help decision-makers suggest the appropriate interventions for those areas. The aggregated index results showed that the highest walkability index was that of the gridiron morphology, followed by the linear morphology, with the radial and organic morphologies coming in behind them, respectively. The composite walkability index values were 0.364, 0.247, 0.232 and 0.225, respectively. The reason for this is mainly the presence of the commercial density, intersection density, street density, services density, BCR, and residential density. Full article

The preservation and reuse of historical alley spaces infuse these areas with renewed vitality, which holds significant importance for the direction of preservation and restoration efforts in historical districts. This paper focuses on Jinyu Alley in Quanzhou and identifies a study targeting tourists for the protection and reuse of historical alley spaces. Through preliminary research and interviews, a system of evaluation indicators for urban historical alley spaces post-usage was established using a factor analysis, extracting five main components: historical context, neighborhood space, commercial environment, supporting facilities, and operational management. Additionally, a modified importance–performance analysis (IPA) method was employed to conduct a quadrant analysis on tourist satisfaction evaluation indicators. Transformation quadrant distribution maps of various evaluation indicators reveal dissatisfaction among tourists with certain aspects of supporting facilities, the commercial environment, and neighborhood space. Relevant departments should prioritize improvements in dining quality, business variety, neighborhood traffic connections and transformations, neighborhood space form and scale, landscape greening, environmental elements, parking availability, and trash bin density for future enhancements. Finally, based on the results of tourist satisfaction surveys and information gathered from interviews with a minority of residents, a more inclusive and sustainable strategy for the protection and reuse of historical alley spaces is formulated. Full article