Search Results (1,713)

Large retail developments act as strong trip attractors and can substantially alter traffic demand patterns at adjacent urban intersections. This paper analyzes the operational impacts of a major shopping center on two nearby signalized intersections in Novi Sad, Serbia, and evaluates the effects of reconstructing one of them into a turbo roundabout. Traffic data collected before and after the shopping center opening, as well as before and after the intersection reconstruction, were analyzed using calibrated and validated microsimulation models. Results indicate that peak-hour traffic volumes increased by 8.38% and 6.96% at the analyzed intersections following the shopping center opening, leading to increased delays and operational stress under fixed signal control, particularly under unbalanced turning demands. The conversion of the three-leg signalized intersection into a turbo roundabout resulted in substantial reductions in average delay and improvements in level of service under identical traffic demand conditions, mainly due to the elimination of left-turn signal phases and reduced conflict interactions. The findings confirm that turbo roundabouts can provide significant operational benefits in dense urban environments characterized by strong directional flows; however, their effectiveness is highly context-dependent and influenced by traffic composition and geometric constraints. The results are interpreted as representative of typical weekday peak conditions, acknowledging data and temporal limitations. Full article

Electric vehicle (EV) adoption remains critically low in Thailand despite government initiatives, with limited understanding of how adoption factors vary across different user segments. This study investigates the determinants of EV adoption intentions across three distinct groups—internal combustion engine (ICE) users, hybrid electric vehicle (HEV/PHEV) users, and current EV users—to develop targeted adoption strategies. Data were collected from 3794 Thai vehicle users through on-site administered questionnaires and analyzed using multi-group structural equation modeling, integrating the Technology Acceptance Model, Theory of Planned Behavior, and environmental psychology constructs. Results reveal significant differences in adoption pathways across groups: ICE users show the strongest sensitivity to perceived ease of use, indicating technology apprehension as the primary barrier; HEV/PHEV users demonstrate transitional characteristics with the highest experience-usefulness relationship, while current EV users exhibit stronger influence from environmental identity and social norms. All 14 hypotheses were supported, though with varying effect magnitudes across groups. Surprisingly, the attitude-intention relationship was consistently weak across all segments, suggesting unmeasured cultural or contextual factors. This study contributes the first empirical evidence of segmented adoption patterns in an emerging market, revealing a progression pathway from technology-focused concerns (ICE) through balanced considerations (HEV/PHEV) to identity-driven adoption (EV). Findings provide actionable insights for policymakers to design segment-specific interventions: technology familiarization for ICE users, transition facilitation for hybrid users, and community-building for EV users. Full article

Urban innovation spaces are crucial to stimulate innovative thinking and facilitate the integration of science, technology, and humanities. On the one hand, existing research on urban innovation spaces focuses on spatial patterns, associated networks, and spillover effects. They are limited to the macro scale and lack of innovation subject perspective. On the other hand, few studies have explored factors influencing the distribution by examining the needs of innovative talent. This study aimed to identify the evolution mechanism of urban innovation spaces. In total, 36,519 high-tech enterprises in Guangzhou from 2008 to 2023 were selected to represent urban innovation spaces. Spatial analysis methods and statistical methods were employed to investigate the spatiotemporal dynamic characteristics. Furthermore, employing multiscale geographically weighted regression, the study identifies multiple factors influencing the development of innovation spaces from the dual perspectives of the innovation environment and services. The results indicated that characterized by a southeast-northwest orientation, the urban innovation spaces of Guangzhou have displayed an apparent point–axis–face structural evolution, expanding from the central district into sparsely distributed in the suburbs. The factors influencing the distribution of urban innovation spaces, ranked by their degree of impact, were as follows: vehicle carrying, research institutions, public park, living convenience, university resources, business hotel, industrial structure height, and metro station. These findings facilitated the understanding of urban innovation space development and grasped the influencing factors and their functioning mechanisms. They provided references for innovation space planning amidst urban stock development. Full article

Winter road snow significantly alters surface friction conditions and traffic capacity, serving as a critical factor contributing to traffic accidents, congestion, and temporary traffic control measures. Compared with sparsely deployed road sensors and labor-intensive field inspections, traffic surveillance cameras offer advantages such as dense spatial coverage, low deployment cost, and continuous observation capability, providing a feasible solution for segment-level winter road condition monitoring. To meet traffic management needs, this study categorizes the impact of road snow on passability into four classes: Clear, Light, Medium, and Heavy. A road snow coverage dataset containing 10,498 images under complex traffic scenarios was constructed and has been publicly released. Furthermore, nine representative deep learning models were systematically evaluated to compare their recognition performance and applicability for this task. Experimental results show that all models achieved over 89% classification accuracy on the test set. To further examine cross-regional generalization capability, 48 surveillance cameras from Canada and Norway were selected for real-world validation. Among all models, Swin Transformer achieved the highest accuracy of 81.2% under complex lighting conditions and varying viewpoints, demonstrating superior stability and transferability. The findings provide quantitative guidance for model selection and engineering deployment of camera-based winter road monitoring systems. Full article

In urban areas, green spaces have become the main refuge for biodiversity, providing essential habitat and resources for urban-adapted species. However, scientific evidence on the fitness consequences of urban green space management for urban populations remains scarce, limiting our ability to design successful conservation and management strategies. Here, we assess the fitness consequences of different levels of management practices in green spaces (i.e., high for areas with continuous intervention such as regular mowing and irrigation, and low for areas with minimal, sporadic maintenance) based on a 19-year long-term monitoring of the Eurasian Tree Sparrow (Passer montanus), a species with high behavioural plasticity in response to human-altered habitats. We formulated a unistate capture–mark–recapture model to estimate age-dependent survival while accounting for uncertainty in recapture probability. Furthermore, by means of GLMMs, we tested if the level of management influences reproductive parameters (i.e., breeding failure, number of eggs, nestlings, fledglings, brood number from the same year, breeding success). We found that high urban green space management caused a decline in adult survival, but we found no effect on juvenile survival. We also found lower breeding failure, a greater number of eggs, and larger brood numbers in the low management areas, but no differences were found in the number of nestlings and fledglings. Consequently, we found no differences in overall breeding success. Our results highlight the reduction in survival in a near-threatened passerine species due to routine green urban space management, in addition to differences in reproductive parameters depending on the degree of green urban space management. Overall, we confirm that the same species show several reproductive strategies with different breeding effort to reach similar breeding success, whatever the human context is. However, birds pay the cost in adult survival, and probably in shortening life span. Therefore, the management of urban green spaces has a negative impact on biodiversity in cities. It is necessary to review the management practices of these urban areas and promote practices that are friendly to biodiversity. Full article

This study investigates the rapid, often uncontrolled urban expansion in Khenchela, a medium-sized city in Algeria’s eastern High Plains, and its profound environmental repercussions amid semi-arid fragility. Drawing on sustainable urban development and resilience frameworks, it dissects pressures such as green space reduction (from 45 ha in 1998 to 33 ha in 2023, dropping per capita from 6.1 m² to 3 m² below WHO standards), water scarcity with 35% leakage losses waste mismanagement, informal settlements on hazardous lands, air/soil pollution, and climate vulnerabilities like heat waves and flooding. Employing a mixed-methods approach documentary analysis of (MPLUUP, LUP and MDP) plans, GIS cartography of spatial evolution (2000–2025), statistical demographics, field observations, and institutional critiques, the research exposes governance gaps: fragmented coordination, weak ecological integration, and resource shortages. It reveals socio-spatial disparities across functional zones, underscoring the need for adaptive, participatory strategies that promote polycentric and compact urban forms, enhanced biodiversity, efficient infrastructure, and inclusive governance to strengthen urban resilience. Full article

This study employs panel data for 275 Chinese cities from 2011 to 2021. Water use efficiency is measured as an aggregate city-level indicator via stochastic frontier analysis, while the level of digital economy development is quantified using principal component analysis. We then employ the system generalized method of moments to investigate the causal relationship between the digital economy and urban water use efficiency, and further identify industrial structure upgrading as the mediating role through which the digital economy affects water efficiency. The main findings are as follows: (1) The digital economy has a significant positive impact on urban water use efficiency. (2) Regional heterogeneity analysis shows that the digital economy presents a stronger positive effect on water use efficiency in eastern regions than in central and western regions. (3) Exploratory mechanism analysis indicates that industrial structure upgrading serves as the mediating role through which the digital economy improves urban water use efficiency. Based on the empirical findings, this paper draws targeted policy implications. Full article

Greening, as a concept, is becoming an essential component of contemporary urban planning worldwide, and universities have begun adopting green policies. While there are numerous studies on climate change, green infrastructure, ecology, and sustainability in planning practice, limited scientific research explores how these concepts are embedded within the educational landscape. This paper aims to develop a methodological framework for mapping the “educational greenscape” by evaluating three levels of higher education in a top-down manner: (01) university, (02) faculty, and (03) subject. The research methodology relies on: an extensive literature review and content analysis; a multi-level case study of the University of Belgrade, focusing on an expert survey based on the European University Association framework; curriculum content evaluation at the Faculty of Architecture, using predefined keywords; and the identification of green interventions and their implementation within the subject “Sustainable Territorial Development,” at the Faculty of Architecture. The specific findings indicate that green activities at the institutional level lack resources, communication, and governance. At the faculty level, there is an apparent need for a more even distribution of green urban planning approaches across different faculty courses. However, subject-level assessment showed the successful implementation of the green urban planning concept into teaching and learning methodologies, with it showing transformative potential and providing a universally applicable methodological framework for mapping the educational greenscape. Full article

China’s rapid economic growth is partly due to the productivity gains from agglomeration, whereby firms and workers in larger and denser cities benefit from proximity through knowledge spillovers, thicker labor markets, and shared infrastructure. This study examines the changing nature and location of agglomeration economies in China using resident-based measures of urban scale from the 2000, 2010, and 2020 population censuses. Chinese “cities” are administrative jurisdictions that contain both dense urban districts and lower-density counties, so the agglomeration elasticities are estimated separately for districts and counties for a balanced panel of 298 prefectural jurisdictions. Agglomeration economies occur only in urban districts, while coefficients on urban scale for counties and county-level cities are close to zero or significantly negative. Moreover, district-level elasticities decline over time, from 0.24 in 2000 to 0.15 in 2020, assuming no feedback from productivity to urban scale. Allowing for such feedback, the temporal decline is even greater, from 0.24 in 2000 to 0.08 in 2020. However, urban growth is shifting increasingly toward counties rather than districts, foregoing the potential agglomeration effects. Changes in location of construction workers also shows this dispersed urban growth. Hence, recent urban growth is increasingly in locations without agglomeration benefits. Full article

As urbanization continues to reshape societies, the concept of child-friendly cities (CFCs) has emerged as a rights-based approach to support the well-being of children in urban environments, particularly as increasing numbers of children grow up in rapidly expanding cities. While international frameworks provide general guidance, effective implementation requires contextual adaptation. Despite Jordan’s commitment to the Convention on the Rights of the Child, limited research has examined how CFC principles translate into urban policy and practice. This study explores the conceptualization of CFCs in the Jordanian context by identifying and prioritizing key stakeholders, urban features, barriers, and evaluation indicators. A structured Delphi methodology consisting of iterative rounds was used to gather cross-sectoral expert perspectives and establish areas of consensus. The findings reveal disparities in resources and efforts across governorates and cities while highlighting the recognized role of municipalities and local governments alongside a limited acknowledgement of non-traditional actors such as media. Prioritized features emphasize clean and climate-responsive environments, while funding limitations were identified as a major constraint and child safety as the most critical indicator. This study provides a consensus-based reference for understanding the key dimensions of CFCs in Jordan and contributes to the discussion on localizing CFC frameworks. Full article

Background: Informal Street food vending plays a vital role in urban food systems by supporting livelihoods and improving access to affordable meals. Despite this contribution, persistent food hygiene and safety challenges continue to threaten public health and business sustainability. Existing research largely frames hygiene as a regulatory compliance issue, with limited empirical attention to how hygiene practices are associated with enterprise performance. Guided by the Health Belief Model (HBM) and the Balanced Scorecard (BSC), this study examined the relationship between food hygiene and safety practices, behavioural compliance, and business sustainability among informal food vendors. Methods: A cross-sectional mixed-methods design was used, combining vendor interviews (n = 30) and structured stall observations (n = 30). Quantitative data were analysed using descriptive and inferential statistics. Qualitative data were thematically analysed. Results: Only 50% of vendors held a valid Certificate of Acceptability (COA), despite 83% reporting prior inspections. Vendors operating for over seven years were significantly more likely to be certified (χ² = 8.23, p = 0.005), and certification was strongly associated with regulatory awareness (χ² = 16.12, p < 0.001). Although 70% reported awareness and 77% prior hygiene training, gaps persisted in sanitation, pest control, and consistent hygiene practices. Compliance was significantly associated with gender and education level (p < 0.05), as well as business duration and inspection history. Female vendors and those with at least secondary education were more likely to practice good hygiene, including the use of protective gear (χ² = 13.89, p = 0.008) and regular handwashing. Hygiene practices were also significantly linked to sustainability indicators aligned with Balanced Scorecard domains, including staffing levels, income categories, and operational duration (p < 0.05). Vendors employing more staff reported higher income, and visibly hygienic practices were associated with customer loyalty and repeat purchases, highlighting hygiene as both a public health requirement and a driver of business sustainability. Conclusions: The findings indicate that hygiene functions not only as a public health requirement but also as a strategic business asset. Integrating behavioural drivers with performance metrics offers a practical framework for designing interventions that strengthen both public health protection and the sustainability of informal enterprises. Full article

This cross-sectional study explored whether the relationship between adolescents’ physical activity and related factors (such as personal and social factors, and parental safety concern) differed according to adolescents’ levels of access to play spaces. Data from Wave 3 of the Growing Up in Ireland (GUI) national longitudinal study, a nationally representative sample of 5212 adolescents aged 17–18 years, was analyzed. Key study variables included adolescents’ physical activity, personal factors (gender, health status, parents’ education and physical activity levels, and active commuting), social factors (number of friends, family support), and parental safety concerns (perceived safety of walking/playing and neighborhood safety). Two structural equation models (SEMs) were employed to compare relationships among physical activity and related factors for adolescents with high and low access to play spaces. Results showed that adolescents living in areas with high access to play spaces reported significantly higher levels of physical activity. Parents’ levels of education and the number of friends available for play had significant impacts on adolescents’ physical activity, regardless of access to play spaces. However, parental perception of the safety of walking and playing was only significant for adolescents with low access to parks. The associations between related factors and adolescents’ levels of physical activity differed for those with high and low access to play spaces, suggesting that interventions promoting adolescents’ physical activity may not yield equal results across these groups. A key limitation of this study is its cross-sectional design and reliance on self-reported measures, which preclude causal inference. Full article

Unused, underutilized, abandoned, and residual urban spaces are increasingly recognized as potential resources for adaptive reuse, ecological improvement, and urban resilience. In this study, such areas are approached through the overarching concept of waste space, a term that captures both their underutilized condition and their transformation potential. While existing research has largely focused on the definition, classification, and emergence of such spaces, their potential for transformation across varying spatial and institutional contexts has received comparatively limited attention. Addressing this gap, this study operationalizes selected social–ecological system (SES) dynamics through spatial analysis in the metropolitan area of İzmir, Türkiye, offering a proxy-based assessment of transformation capacity rather than a direct transformation. Using district-level analysis across ten metropolitan districts, this research combines typological and morphological classification of waste spaces with four spatial indicators: the Density Index, Location Quotient, Shannon Diversity Index, and Typology Dominance Index. The results show that waste spaces are unevenly distributed across İzmir and form distinct district-level configurations shaped by infrastructure expansion, post-industrial transformation, speculative vacancy, and fragmented urban growth. This study concludes that waste spaces cannot be addressed through a uniform regeneration logic. By linking SES dynamics with measurable spatial indicators, the proposed framework offers a context-sensitive, proxy-based basis for indicating transformation capacity of waste spaces and supporting district-specific planning and policy decisions. Full article

The concentration of tourist flows along short urban links caused by cruise stops in medium-sized Mediterranean ports exacerbates traffic and localized environmental externalities. This study evaluates the willingness to pay (WTP) of cruise passengers for an electric tram that would connect the Gaženica Port with Zadar’s historic center, an intervention designed to cut travel time and reduce on-street congestion and emissions. Over the course of two seasons, a two-wave, two-site, in-person survey was conducted at the port and in the city center. The instrument adopts a double-bounded dichotomous choice (DBDC) contingent valuation design with randomized starting bids that were calibrated using a pre-test that benchmarked prevailing transport pricing. Primary WTP estimates are obtained from a binary choice model with socio-demographic and environmental covariates; whereby inference relies on cluster-robust errors. Robustness is assessed through three complementary checks that do not require additional data: (i) a bivariate specification to account for within-respondent correlation between first and follow-up bids; (ii) Turnbull nonparametric bounds for the interval-censored WTP distribution; and (iii) starting-point tests using split-sample estimation and bid-set indicators. A spike adjustment based on “no–no at the lowest bid” responses is explored where appropriate. Beyond its methodological contribution, this research advances the sustainable tourism development discourse by quantifying visitors’ financial support for low-emission urban mobility infrastructure that mitigates environmental stresses while preserving residential life quality. The results integrate cruise tourist management with the more general goals of resilient and sustainable urban destinations by offering a decision-ready value input for port-city mobility planning in historic Mediterranean centers. Full article

The rapid inspection of urban road hazards, such as subsurface voids and pipeline damage, demands high efficiency and precision in detection technology. Conventional Ground Penetrating Radar (GPR) systems often face limitations in urban environments, including slow survey speeds, poor channel scalability, and the trade-off between shallow resolution and deep penetration. The proposed system integrates a dual-band antenna array (200 MHz and 400 MHz) to resolve the classical resolution–penetration trade-off, simultaneously capturing high-resolution shallow data and achieving deep subsurface penetration in a single pass. To overcome the sampling rate bottleneck inherent in low-cost microcontrollers, a custom Time-Division Step Multiplexing (TDSM) protocol extends the equivalent sampling period to 0.38 µs across 24 parallel channels while maintaining a 200 kHz pulse repetition rate—enabling real-time data streaming at vehicle speeds up to 70 km/h with 5 cm trace spacing. This capability directly addresses the critical challenge of traffic disruption on urban arterials caused by conventional slow-speed GPR surveys. Complementing this, a master-slave FPGA-MCU hierarchical architecture provides seamless channel scalability from 24 to 36 channels, adapting to diverse swath width requirements without hardware redesign. Laboratory physics model experiments demonstrate a penetration depth exceeding 3 m after convolutional sparse fusion of the dual-band data, covering the typical burial depth of urban utilities. This study provides a deployable high-resolution underground detection solution for rapid urban infrastructure surveys and emergency disease detection by breaking the traditional constraints of channel number, sampling rate, and detection speed, significantly reducing interference with urban main traffic. Full article