Search Results (901)

As urbanisation accelerates, land-use planning has become a challenging factor in cities’ sustainable development. This process is based both on the historical heritage of Central and Eastern European cities and on concepts combining urban planning with ecology. Cemeteries, traditionally viewed as places of remembrance, hold significant potential as ecological assets within urban environments. On the other hand, they are problematic in relation to the location, neighbourhood, and form of past/present human activity. Many of these aspects are regulated in the investigated countries. This paper examines sustainable cemetery planning from legal, ecological, and spatial perspectives, highlighting their role in addressing environmental challenges while preserving cultural and social values. The research draws on comparative case studies from eight Central and Eastern European countries, combining an analysis of international and national legal frameworks with a functional–spatial assessment of cemetery surroundings. In addition, an environmental survey conducted among experts and residents highlights diverse perceptions regarding cemetery functions and their integration into urban landscapes. The findings demonstrate that policy-based management and multifunctional design are essential for enhancing the ecological, cultural, and social value of cemeteries. Reframing cemeteries as multifunctional green spaces offers a practical pathway toward more resilient and environmentally responsible urban development. Some important differences between the following countries have been observed. Full article

Urban health, well-being, and equity—core objectives of Sustainable Development Goals (SDGs 3, 10, and 11)—have become key themes in contemporary urban planning research and landscape research. While existing studies focus predominantly on quantitative assessment, environmental exposure, and human mobility, the historical origins of health-oriented urban green space planning remain insufficiently explored. Focusing on Lingnan area as a representative case, this research investigates the emergence of public green space in late Qing cities and its early contributions to urban health and spatial governance. Through a systematic examination of American and British Gardens at the Thirteen Factories in Guangzhou, the planned public green space system of the Shameen concession, and the municipal greening practices of neighboring Hong Kong and Macao, the study further analyzes Zhang Zhidong’s tree-lined boulevard project along Changdi avenue as a key instance of localized institutional adaptation. Drawing on late-Qing and Republican newspapers, nineteenth-century Western travelogs and reports, historical and contemporary studies and photo albums, the study finds the following: (1) the American and British Gardens marked the earliest emergence of health-oriented urban green space in Lingnan area; (2) the systematically planned green space network of the Shameen concession constituted a prototypical form of health-oriented urban green space planning; (3) the botanical gardens, street-tree systems, public parks, and institutionalized management practices in Hong Kong and Macao exerted a strong regional demonstrative influence on Guangzhou; (4) the street-tree planting along Changdi Avenue represented a localized absorption of foreign planning paradigms and marked the institutionalization of municipal greening in Guangzhou. Although these early practices did not yet form a modern healthy city planning framework at that time, they played a crucial role in improving urban sanitation, enhancing public space quality, and shaping urban order. By tracing the historical trajectory from transnational demonstration to local adaptation and institutional consolihdation, this study provides new insights into the historical foundations of health-oriented urban planning in China and contributes a long-term perspective to contemporary debates on healthy cities and nature-based urban interventions. Full article

Human–wildlife conflicts arise from increasing human populations and the growing demand for land for agriculture and urban development. In Saudi Arabia, these dynamics have increased the impact of baboons on human communities, as expanding settlements encroach upon the natural habitats of baboons, while rising baboon populations increasingly invade urban areas in search of food, shelter, and water. We aimed to assess the effects of human–baboon coexistence on residents in the Al-Baha region, Saudi Arabia. From October 2021 to April 2022, we administered a 43-item semi-structured online questionnaire addressing emotional, social, environmental and financial impacts of nearby baboons. A total of 318 residents of the Al-Baha region completed the survey and shared their experiences regarding interactions with hamadryas baboons (Papio hamadryas) near human properties. In addition, three semi-structured life interviews with residents aged over 70 explored historical perceptions. Respondents attributed increased baboon presence to urban expansion, accessible waste, and intentional feeding and strongly supported government-led mitigation plans. Human–baboon interactions in Al Baha produce emotional stress, social disruption, and economic burdens for residents. Findings support integrated management combining public education, improved waste management, non-lethal deterrents, and carefully planned population control measures, developed with community consultation. Limitations of the study include convenience online sampling and reliance on self-reported impacts; future work should quantify baboon abundance and objectively measure economic losses. Full article

Trails in heritage sites are useful ways to engage visitors with the place. Sensory trails proposed in this paper, engaged with the sensory walking method, are designed purposefully to engage the multi-sensory features onsite with prompts to link to the historic sensory elements that have historic and cultural meanings to the heritage sites. Two questions are asked: (1) What process can we follow to design sensory heritage trails? (2) What criteria can be used to evaluate and guide the sensory features on site and from historic documentations? Taking design research as the overarching methodology, this paper reflects on the creation of two sensory trails, Sensing Beyond the Roundhouse and Sensing Around the Anglesey Column, following the Double Diamond framework developed by UK Design Council. An iterative design framework was developed, beginning with the identification of constraints and sensory opportunities through site observations, document analysis, and stakeholder interviews, which leads to interpretations of sensory features to shape storylines and route planning informed by user analysis. It is followed by representing the trails through sensory maps and other low-cost creative formats and then validating proposed trails with communities and stakeholders via pilot walks and feedback sessions. Four criteria are generated to assess sensory features based on engagement and authenticity: their contribution to the authentic historic atmosphere of the site; their ability to trigger imagination and evoke nostalgia; their distinctiveness and relevance to the site’s heritage narratives; and their capacity to encourage physical interaction and embodied engagement. The discussion part argues that sensory trails can be used as place-based strategies to inform urban planning and development around the heritage site through three pathways: catalyst for improvements and developments, connect isolated heritage sites, generate place-based knowledge. Full article

Urban expansion causes increasing risks to archaeological heritage and yet few studies have systematically analyzed multi-site urban change using consistent temporal datasets and standardized methods. In this sense, this study addresses this gap by applying a multi-temporal urban change detection framework to the Memphis region, focusing on the Abu Gurab, Abusir and Saqqara sites. To conduct this research, high-resolution satellite imagery from 2004, 2008 and 2025 was processed using harmonized geospatial classification and overlay techniques to quantify built-up area growth and identify zones where modern development threatens key monuments to include the Sun Temples of Userkaf and Nyuserre, and the pyramids of Sahure, Neferirkare and Neferefre. A GIS- and remote sensing-based workflow, combining supervised classification, post-classification comparison and buffer zone analysis, enabled precise monitoring of urban encroachment. Additionally, high-resolution imagery and in situ inspections supported detailed decay mapping of select monuments, using grayscale normalization and false-color analysis to quantify surface deterioration objectively. This approach highlights the progressive impact of urbanization on archaeological structures and provides actionable data for archaeological sites management. Finally, the results contribute to heritage risk assessment, support evidence-based conservation planning, and inform urban planning strategies in line with Sustainable Development Goal 11.4 and the UNESCO Historic Urban Landscape Recommendation (HULR). Full article

Modern smart cities face increasing pressure to invest in sustainable and reliable energy systems while navigating uncertainties arising from fluctuating market conditions, evolving technology landscapes, and diverse expert opinions. Traditional multi-criteria decision-making (MCDM) approaches often fail to fully represent these uncertainties as they typically rely on crisp inputs, lack temporal memory, and do not explicitly account for stochastic variability. To address these limitations, this study introduces a novel Stochastic Fractional Fuzzy Tensor (SFFT)-based Group Decision-Making framework. The proposed approach integrates three dimensions of uncertainty within a unified mathematical structure: fuzzy representation of subjective expert assessments, fractional temporal operators (Caputo derivative, $\alpha =0.85$) to model the influence of historical evaluations, and stochastic diffusion terms ($\sigma =0.05$) to capture real-world volatility. A complete decision algorithm is developed and applied to a realistic smart city renewable energy selection problem involving six alternatives and six criteria evaluated by three experts. The SFFT-based evaluation identified Geothermal Energy as the optimal choice with a score of 0.798, followed by Offshore Wind (0.722) and Waste-to-Hydrogen (0.713). Comparative evaluation against benchmark MCDM methods—TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), VIKOR (VIšekriterijumsko KOmpromisno Rangiranje), and WSM (Weighted Sum Model)—demonstrates that the SFFT approach yields more robust and stable rankings, particularly under uncertainty and model perturbations. Extensive sensitivity analysis confirms high resilience of the top-ranked alternative, with Geothermal retaining the first position in 82.4% of 5000 Monte Carlo simulations under simultaneous variations in weights, memory parameter ($\alpha \in [0.25,0.95]$), and noise intensity ($\sigma \in [0.01,0.10]$). This research provides a realistic, mathematically grounded, and decision-maker-friendly tool for strategic planning in uncertain, dynamic urban environments, with strong potential for deployment in wider engineering, management, and policy applications. Full article

This article outlines the development of an inter-scale analytical tool designed to evaluate urban, intermediate, and domestic spaces from a gender perspective. Framed within feminist urbanism and ecofeminist theory, the study addresses the need to foster inclusive and equitable environments by incorporating gender-sensitive criteria into spatial planning processes. The methodology employed consists of a six-stage process: (1) a review of the existing literature; (2) the definition of scales of approach; (3) the formulation of indicators; (4) the establishment of evaluation criteria; (5) the design of data collection instruments; and (6) the refinement of the tool through field testing. The tool uses both qualitative and quantitative indicators across three spatial scales—neighbourhood, inter-block, and housing—organised into dimensions such as safety, accessibility, diversity, vitality, and representativeness. The evaluation process employs direct observation, graphic analysis, interviews, and participatory focus groups to provide a nuanced and multidimensional understanding of the built environment. The results confirm that both urban and domestic spaces have historically been designed from an androcentric perspective. They also highlight the potential of using gender-based evaluations to identify spatial inequalities and guide transformative interventions. The tool is replicable, adaptable, and scalable, and can therefore offer a robust framework for future research and public policy-making aimed at fostering gender equity in urban contexts. Full article

The relationship between urban morphology and urban design or planning practice is inherently complex and multifaceted. A key challenge stems from the limited relevance and applicability of morphological tools to the practical issues encountered in professional planning contexts. This study seeks to address this gap by investigating how morphological analysis can inform the development of future urban plans and projects, particularly in areas where a strong historical fabric is integrated with contemporary urban structures. The research applies the Morpho method to historical urban environments, examining multiple morphological parameters, including street typology, block dimensions, plot density, the ratio of building height to street width, building alignment, and land-use distribution. Furthermore, the study introduces a new analytical criterion, the density of historical buildings within each street block, to enhance the methodological comprehensiveness of the analysis. The study also integrates the physical analysis of urban form with socio-economic dimensions by incorporating ownership status and population density data, thereby extending the framework and generating significant insights. Four neighborhoods in Beyoğlu, Istanbul, were selected as case studies to illustrate the application of this method. The results demonstrate that the Morpho analysis can serve as a robust foundation for developing planning and design codes, facilitating the harmonious integration of historical urban areas with modern urban fabrics. The study concludes by suggesting how morphological knowledge can be translated into planning action by proposing planning strategies, emphasizing their potential role in guiding sustainable urban development. Ultimately, this study has important outcomes for sustainable urban development by addressing the integration between historical and modern patterns within ongoing urban alterations, the sustainability of historical patterns, and their integration with modern fabric. These outcomes can be used in urban policies for sustainable urban development in historical areas. Full article

Dry climate regions face heightened risks of flooding and infrastructure damage even with minimal rainfall. Climate change is intensifying this vulnerability by increasing the duration, frequency, and intensity of precipitation events in areas that have historically experienced arid conditions. As a result, accurate precipitation estimation in these regions is critical for effective planning, risk mitigation, and infrastructure resilience. This study evaluates the performance of five satellite- and model-based precipitation products by comparing them against in situ rain gauge observations in a dry-climate region: The fifth generation European Centre for Medium-Range Weather Forecasts Reanalysis (ERA5) (analyzing maximum and minimum precipitation rates separately), the Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA2), the Western Land Data Assimilation System (WLDAS), and the Integrated Multi-satellite Retrievals for Global Precipitation Measurement (IMERG). The analysis focuses on both average daily rainfall and extreme precipitation events, with particular attention to precipitation magnitude and the accuracy of event detection, using a combination of statistical metrics—including bias ratio, mean error, and correlation coefficient—as well as contingency statistics such as probability of detection, false alarm rate, missed precipitation fraction, and false precipitation fraction. The study area is Palm Desert, a mountainous, arid, and urban region in Southern California, which exemplifies the challenges faced by dry regions under changing climate conditions. Among the products assessed, WLDAS ranked highest in measuring total precipitation and extreme rainfall amounts but performed the worst in detecting the occurrence of both average and extreme rainfall events. In contrast, IMERG and ERA5-MIN demonstrated the strongest ability to detect the timing of precipitation, though they were less accurate in estimating the magnitude of rainfall per event. Overall, this study provides valuable insights into the reliability and limitations of different precipitation estimation products in dry regions, where even small amounts of rainfall can have disproportionately large impacts on infrastructure and public safety. Full article

Intangible cultural heritage (ICH) is deeply embedded in everyday social life, yet its officially recognized spatial distribution reflects both the independent influences of cultural traditions, development trajectories, and governance practices, and the complex interactions among them. Focusing on 494 national-level ICH items across ten categories in Jiangsu(J), Zhejiang(Z), and Shanghai(H), this study adopts a social-geographical perspective to examine both the spatio-temporal evolution and the driving mechanisms of ICH recognition in one of China’s most developed regions. After rigorous verification of point-based ICH locations, we combine kernel density estimation and the average nearest neighbor index to trace changes across five batches of national designation, and then employ the univariate and interaction detectors of the Geodetector model to assess the effects of 28 natural, socioeconomic, and cultural-institutional variables. The results show, first, that ICH exhibits significant clustering along river corridors and historical cultural belts, with a persistent high-density core in the Shanghai–southern Jiangsu–northern Zhejiang zone and a clear shift over time from highly concentrated to more dispersed and territorially balanced recognition. Second, human-environment factors—especially factors such as urban and rural income and consumption; residents’ education and cultural expenditures; and public education and cultural facilities—have far greater explanatory power than natural conditions, while different ICH categories embed distinctively in urban and rural socio-economic contexts. Third, bivariate interactions reveal that natural and macroeconomic “background” variables are strongly amplified when combined with demographic and cultural factors, whereas interactions among strong human variables show bivariate enhancement with diminishing marginal returns. In summary, these findings enrich international debates on the geography of ICH by clarifying how recognition processes align with regional development and social equity agendas, and they provide a quantitative basis for category-sensitive, place-based strategies that coordinate income policies, public cultural services, and the joint safeguarding of tangible and intangible heritage in both urban renewal and rural revitalization planning. Full article

Historically, singlehood is a growing demographic trend shaped by economic, social, and personal factors. This study examines the key influences associated with this phenomenon across diverse global contexts based on empirical evidence provided by WVS (World Values Survey), which covers over 100 countries and spans four decades. A multi-technique analytical approach is applied to identify the most robust predictors of singlehood. This approach involves feature selection, cross-validation, robustness checks, and statistical modeling (parsimonious models with near-excellent or excellent classification accuracy as AUCROC > 0.9). The results indicate that age and parental status are negatively associated with singlehood, while precarious employment status is positively linked. Co-residence with parents also appears closely related to singlehood. Other factors, including education level, social class, and settlement size, also correlate with singlehood patterns, as resulting from supplemental analyses. Moreover, gender and regional analyses reveal some variations in these associations, highlighting the interplay between personal, cultural, and economic contexts. These findings also align with social and economic theories of marriage, emphasizing the impact of life course factors, financial stability, and cultural norms. They contribute to a deeper understanding of demographic shifts. They also provide meaningful and well-founded insights as well as strategic guidance for policy in areas such as youth employment, social welfare, urban planning, and demographic adaptation. Full article

Nature bonding (NB), alongside place identity and place dependence, is among the most frequently discussed and empirically validated contributing factors of place attachment (PA) within urban environments. While PA has been extensively studied through its psychological, personal, and spatial dimensions, the specific contribution of NB across these dimensions and spatial scales remains insufficiently understood. To address this gap, this study aims to demonstrate the importance of NB in fostering PA by highlighting the need for spatially sensitive urban planning that integrates natural elements across scales to enhance community satisfaction and well-being. Elmwood Village in Buffalo, New York, recognized as one of the top ten most livable American neighborhoods and part of the historic Frederick Law Olmsted-designed parkway system was chosen as a case study. A three-stage investigation was conducted using survey data. First, the three dimensions of PA—place, person, and psychology—were identified. Second, NB was categorized into three levels: attachment, enjoyment, and oneness with nature. Third, the variability of these bonds across three spatial scales—building, street, and neighborhood—was tested to assess their spatial relevance. The findings reveal that the strength and form of NB differ significantly across spatial contexts, shaping how individuals emotionally and behaviorally connect to urban places. By integrating NB into the spatial understanding of PA, this research provides a framework for urban designers and environmental psychologists to better interpret and enhance human–nature relations in the built environment. Full article

This paper proposes an innovative methodological framework for integrating Cultural Ecosystem Services (CES) into landscape planning, with the aim of enhancing the conservation and adaptive management of rural historical landscapes. Grounded in the principles of the European Landscape Convention and the recent Nature Restoration Law, the study advocates for a shift from prescriptive and sectoral approaches toward performance-based and ecosystem-oriented models. The research focuses on the Marche Region (Italy), where the historical landscape shaped by the mezzadria (sharecropping) system provides a representative case for testing the proposed methodology. Six spatial layers have been selected as ecosystem-based indicators to identify new potential landscape CES’ hotspots as agricultural landscape high-value areas, and to redefine protection and management strategies. The analysis integrates historical, ecological, and cultural dimensions to construct a spatially explicit value matrix, supporting the definition of differentiated management zones. Results reveal the persistence of high landscape and ecosystem values in mid- and upper-hill areas, contrasted by the progressive loss of structural and functional diversity in lowland and peri-urban contexts. The findings highlight the need for more adaptive and flexible planning models, capable of incorporating nature-based actions, climate-smart agriculture, and performance-oriented evaluation criteria. The proposed approach demonstrates potential for replicability and policy integration, providing a decision-support framework to align landscape planning with rural development strategies and climate adaptation objectives. Despite limitations related to data availability and model simplification, the methodology contributes to the ongoing paradigm shift toward dynamic, evidence-based, and transdisciplinary landscape governance across Mediterranean regions. Full article

In line with UNESCO’s Historic Urban Landscape approach, this study highlights the need for integrative tools that connect heritage conservation with broader urban development dynamics, balancing preservation and growth. While several machine-learning models have been applied to analyse the drivers of urban change, there remains a need for comparative analyses that assess their strengths, limitations, and potential for combined applications tailored to specific contexts. This study aims to compare the predictive accuracy of three land-use change models (Random Forest, Logistic Regression, and Recursive Partitioning Regression Trees) in estimating the probability of land-use transitions, as well as their interpretative capacity to identify the main factors driving these changes. Using data from the Bellavista neighborhood in Tomé, Chile, the models were assessed through prediction and performance metrics, probability maps, and an analysis of key driving factors. The results underscore the potential of integrating predictive (Random Forest) and interpretative (Logistic Regression and Recursive Partitioning Regression Trees) approaches to support heritage planning. Specifically, the research demonstrates how these models can be effectively combined by leveraging their respective strengths: employing Random Forest for spatial simulations, Logistic Regression for identifying associative factors, and Recursive Partitioning Regression Trees for generating intuitive decision rules. Overall, the study shows that land-use change models constitute valuable tools for managing urban transformation in heritage urban areas of intermediate cities. Full article

Analyzing the spatial patterns of vitality in historic urban areas and their influencing elements is essential for improving the vitality of historic and cultural cities and fostering sustainable urban development. This research investigated the historic urban area of Kaifeng City. Employing Baidu Huiyan population location data, it assessed the spatial distribution of vitality on weekdays and weekends. A built environment indicator system was developed using multi-source data, and the CatBoost-SHAP model was applied to examine the nonlinear relationship between the built environment and the vitality of a historic urban area, along with the interactions among different factors. The study systematically explored the spatiotemporal dynamics of vitality and the influence mechanisms of the built environment. The results showed the following: (1) The vitality of Kaifeng’s historic urban area demonstrated significant spatiotemporal heterogeneity, exhibiting an “inner-hot, outer-cold” spatial pattern. Overall vitality levels were higher on weekends than on weekdays, with a progressive decline from morning to night. (2) Built environment factors dynamically influenced vitality across time periods. The impacts of POIM and BD shifted markedly, indicating temporal variations in vitality-driving mechanisms. (3) Synergistic interactions among built environment factors exerted nonlinear effects on urban vitality. Within reasonable threshold ranges, BSD, POID, and BD promoted vitality but exhibited diminishing marginal returns under high-density conditions. Notably, BSD played a core moderating role in multi-factor interactions. These findings reveal the complex and dynamic relationship between the built environment and historic urban vitality. They indicate that spatial governance should prioritize the synergistic integration of transportation, functions, ecology, and culture to achieve dual improvements in urban vitality and environmental quality, thereby providing important theoretical support and practical guidance for planning and spatial optimization in historic urban areas. Full article