Search Results (716)

This paper examines DisAbitanti, a participatory cultural initiative developed in Corigliano d’Otranto (Grecìa Salentina, Southern Italy) to explore how performative and community-based practices may contribute to sustainable and proximity tourism in small heritage towns. The study adopts an exploratory qualitative case study design, combining participatory action research and artistic research, drawing on participant observation, reflective field diaries, semi-structured interviews with local actors and participants, and analysis of project materials and relevant local planning documents. The analysis identifies a set of emerging patterns suggesting that the reactivation of abandoned or underused spaces through site-specific performances and collective storytelling is associated with forms of resident participation, reconfiguration of resident–visitor roles, and off-season cultural activation. These dynamics contribute to strengthening local identity and social cohesion, while highlighting the role of cultural practice in place-based governance processes. The analysis indicates that performative interventions can act as catalysts for the emergence of informal governance dynamics within the case study, connecting local associations, artists, residents, and cultural organizers. This claim is supported by empirically observed indications, including the number and diversity of actors involved and the emergence of new collaborative interactions. While the findings are not intended to be generalizable, they provide analytical insight into how performative practices may enable forms of place-based coordination around heritage use and spatial activation, linking heritage experience to habitability and spatial equity. The paper concludes that DisAbitanti offers a context-sensitive approach for translating sustainability principles—consistent with the UN 2030 Agenda—into situated tourism governance practices, with potential relevance for other small inner peripheral towns facing seasonality and spatial marginalization. Full article

Unsignalized intersections pose a representative challenge for autonomous-driving decision-making because online planning must satisfy tightly coupled requirements for safety, task completion, traffic efficiency, and control smoothness under a limited computation budget. Existing continuous-action MCTS planners often suffer from sparse candidate-action coverage and from the absence of an internal safety filter before node expansion. To address these issues, this paper proposes CP-LDS-MCTS, a decision-making framework that coordinates Sobol low-discrepancy sampling, truncated Taylor control barrier function (TTCBF)-based safety pruning, and policy-value composite scoring within the expansion stage of Monte Carlo tree search. Sobol sampling improves candidate representativeness under a fixed sampling budget; TTCBF provides a local one-step screening rule that removes actions inconsistent with safety constraints before search resources are consumed; and composite scoring prioritizes safe actions that are simultaneously policy-consistent and value-promising. To clarify the methodological contribution, CP-LDS-MCTS is formulated as a unified expansion-stage design rather than a loose combination of independent modules. The revised manuscript further adds a local approximation-error discussion for the TTCBF truncation, a computational-complexity analysis, a real-time latency evaluation, statistical significance tests, and two stronger baselines, namely PPO and MPC-CBF. Experiments in CARLA Town03 under low-, medium-, and high-density traffic show that the proposed method achieves the best overall balance among safety, success rate, travel time, and control smoothness while maintaining a mean planning latency below 25 ms per step on the test platform. The resulting safety assurance is local rather than global, as TTCBF pruning performs a one-step approximation-based feasibility check within the expansion stage and is validated in simulation. These results suggest that candidate coverage, internal safety screening, and value-aware expansion should be designed jointly for real-time continuous-action planning at unsignalized intersections. Full article

Housing markets display geographical linkages that contravene conventional regression assumptions; yet, Central and Eastern European towns are markedly underrepresented in spatial econometric research. This study provides a systematic spatial econometric analysis of Zagreb’s housing market. It looks at both asking sale and rental prices throughout the city’s 17 administrative districts. There are five model specifications used in the analysis: Ordinary Least Squares (OLS), Spatial Lag of X (SLX), Spatial Autoregressive Model (SAR), Spatial Error Model (SEM), and Spatial Durbin Model (SDM). The findings demonstrate significant positive spatial autocorrelation in both markets: Global Moran’s I = 0.29 (p = 0.007) for sales and 0.42 (p < 0.001) for rents. LISA analysis finds important groups of high-priced homes in the center districts and lower-priced homes on the edges. Spatial models significantly surpass OLS: SLX exhibits AIC enhancements of 9.90 (sales) and 20.20 (rentals), but SAR and SEM yield no enhancements, suggesting that local spillover effects from adjacent characteristics prevail over global spatial diffusion or correlated shocks. The higher Moran’s I and AIC gains in rental markets show that there are different spatial processes for different types of tenure. These results address a significant empirical deficiency in post-socialist housing research, illustrate that neglecting spatial dependencies may lead to biased estimates and reduced model performance, and furnish methodologically sound evidence that spatial econometric techniques are essential for accurate modeling for precise urban housing analysis in intermediate-sample scenarios. Policy implications stress the need to use spatial approaches in choices about property value, forecasting, and urban planning. Full article

Urban–climate interactions in a warming climate remain largely uncertain; therefore, it is crucial to realistically evaluate and project these feedbacks to establish effective adaptation strategies. This study investigates projected shifts in summertime urban–climate interactions over eastern North America by employing the GEM regional climate model coupled with the Town Energy Balance (TEB) scheme, driven by RCP4.5 and RCP8.5 scenarios for the 1981–2100 period. Evaluations for the current climate (1981–2010) demonstrate that the model simulates an urban-induced warming of 0.5–0.7 °C and a precipitation reduction of 0.2–0.4 mm/day with high fidelity. By the late 21st century (2071–2100), projections under the RCP8.5 scenario indicate a steady weakening of the summer mean Urban Heat Island (UHI) intensity by approximately 0.10 °C, with a more pronounced nighttime attenuation of 0.15 °C. Physically, this weakening is attributed to an enhanced urban-induced evaporative fraction, which limits solar radiation storage within the urban fabric during the day, thereby reducing the thermal energy available for post-sunset release. This UHI attenuation correlates strongly with localized increases in precipitation, particularly in coastal regions where urban-induced effects contribute 20–40% to the total precipitation rise. While this study intentionally utilizes static urban boundaries to isolate the specific sensitivities of current urban morphologies to global warming, these results emphasize that diverse climatological regions will undergo distinct urban–climate feedback changes, providing essential baseline data for resilient urban planning. Full article

Rapid population growth challenges governance systems, housing markets, infrastructure capacity, and social cohesion, yet it is often treated as a predictable and uniform process. This structured comparative review synthesizes four distinct rapid-growth literatures: energy boomtowns, amenity-migration destinations, gateway communities, and mega-event host towns, to examine how different growth drivers shape community resilience. Using systematic forward and backward citation tracking grounded in community theory, the review identifies recurring patterns across otherwise separate research traditions. The analysis shows that outcomes are shaped less by growth itself than by institutional and spatial conditions. Extractive boomtowns and mega-event hosts experience compressed cycles of disruption and recovery that test adaptive capacity, while amenity-migration destinations and gateway communities face sustained pressures related to housing affordability, land-use conflict, and social boundary formation. Across contexts, three interrelated dimensions of adaptive capacity consistently structure trajectories: multilevel governance coordination, housing and land-use elasticity, and the management of social equity and cohesion. The findings advance a conceptual resilience framework that interprets rapid population change as a socio-spatial shock filtered through institutional and spatial conditions, with implications for sustainable urban design, flexible infrastructure planning, and inclusive governance. Full article

Oceanfront relief varies along coastlines and serves as the first barrier to wave and surge damage. However, forecasted increases in storm frequency and sea levels are anticipated to enhance coastal erosion, potentially weakening this protection. The land–sea transition is variable along the New England coast, USA, and this variability has produced a range of coastal morphologies that can vary over short distances. It is important to track the beach transition zone to better understand transformations of the system and related hazard risks. A combination of field and computer-based methods was used to evaluate the beach transition zone of southwestern Rhode Island to determine alongshore variability and dynamics. More specifically, a decadal-scale study was conducted to examine changes in morphology from 2011 to 2022, and a short-term study at South Kingstown Town Beach examined changes from November 2023 to January 2024 using time-series drone-derived elevations. Classification of over 500 cross-shore transects illustrated the dominance of sedimentary shorelines, with smaller areas of rocky outcrops and hardening. Analysis of four different years (2011, 2014, 2018, and 2022) determined that beaches with dune morphology were the most common type of transition zone (41–47% of the transects) and transects with a high bank upland were the next most frequent class (34–41%). Following Hurricane Sandy in 2012, a 6% decrease in the number of dune-classified transects was measured; however, one-third of those recovered dune morphology by 2022. The greatest beach transformations over the short-term study occurred in response to strong storms in the 2023–2024 winter season, during which lateral beach movement (erosion) exceeded 15 m in portions of South Kingstown Town Beach. Dune erosion was accompanied by overwash flooding and deposition, and the area remained low-lying and thus vulnerable to future impacts. The beach transition zone classification and insights from this research will be informative for future planning by coastal communities by determining at-risk shorelines based on underlying geology and the stability of morphological features. Full article

The external relations of small towns are an important dimension in the regional urban system. However, the “metropolitan bias” in existing studies results in a lack of empirical verification of their characteristics, hindering effective regional policymaking. Applying Central Flow Theory (CFT), mobile phone data, and a multiscale geographically weighted regression (MGWR) model, this study investigates the spatially non-stationary associations between built environment factors and the “city-ness” and “town-ness” of small towns in the Yangtze River Delta. The results show: (1) Enterprise density in metropolitan shadow areas is positively associated with cross-city jobs–housing separation; in peripheral areas, both enterprise density and housing prices exhibit a strong correlation with intra-municipal jobs–housing separation. (2) Middle schools consistently correlate with localized intra-municipal flows, suggesting a plausible spatial anchoring role; around metropolises, medical and commercial facilities link to recreational flows and commuting town-ness, while in distal small towns, medical facilities coincide with intratown jobs–housing balance, and commercial facilities correlate with localized consumption and cross-town employment mobility. (3) Higher road network density corresponds to a shrinking commuting radius near metropolises and intra-municipal intertown interconnection in distal towns, rather than mere external relation channels. This study empirically supports CFT at the small-town scale, explores plausible mechanisms, and informs differentiated planning strategies. Full article

Informal settlements are home to more than one billion people worldwide, with forecasts suggesting this number may increase to nearly three billion by 2050. Although informal settlements constitute a significant component of urbanization in the Global South, they are unsafe and unhealthy places to live, as residents are exposed to various environmental challenges, including increasing temperatures. However, relative to other climate-related hazards, heat stress in informal settlements is under-researched. This paper, therefore, aims to analyze land surface temperatures (LSTs) in informal settlements relative to those in surrounding areas. Focusing on the study areas of Masiphumelele and Dunoon in Cape Town, South Africa, the study utilized downscaled 10 m resolution satellite imagery from 2020 to 2025. The LST was derived from Landsat 8 Collection 2 Level 2 Surface Reflectance and Surface Temperature products. Four indices were also generated to further analyze the spatial distribution of LSTs: the normalized difference vegetation index, the normalized difference built-up index, the bare soil index, and the normalized difference water index. Showing that heat intensity in informal settlements is a relative phenomenon influenced by many factors, Dunoon had a lower mean LST than the surroundings, while Masiphumelele demonstrated elevated mean LST relative to the surroundings. The study provides empirical evidence of heat-related patterns to inform planning and climate adaptation strategies in informal settlements, including the equitable provision of green and blue infrastructure. Full article

Urban shrinkage, driven by demographic and socioeconomic changes, has become a pressing issue across Europe, particularly in small peripheral towns and semi-urban settlements that have historically relied on a single industry or company. This study investigates the demographic and socioeconomic factors contributing to the multi-dimensional decline, encompassing population loss, economic contraction, and deteriorating socioeconomic conditions in Latvian mono-towns, thereby filling a void in empirical research on urban development in post-socialist contexts. Principal component analysis (PCA) was applied to a set of key demographic and socioeconomic indicators derived from census and administrative data to identify the principal dimensions that drive urban shrinkage. The analysis reveals three principal components explaining 87% of the variance: socioeconomic vitality (57.1%), population change and peripherality (17.2%), and aging society dynamics (12.6%). The results contribute to a nuanced understanding of how mono-functional urban contexts shape the intensity and character of shrinkage. These results establish a basis for specific policy measures designed to promote resilience in small-settlement settings and contribute to the understanding of spatial planning and regional development approaches in the post-socialist urban transition context. This research underscores the need for context-specific approaches to address the multifaceted challenges of urban shrinkage. Full article

Although tourists’ multi-attraction visitation behavior in tourism flow networks appears random, it actually follows underlying association rules. These rules may exhibit regional variations due to the influence of administrative barriers. Revealing the attraction association rules connected through tourist behavior can provide theoretical support for regional tourism planning and resource allocation. This study proposes a novel analytical framework to uncover hidden patterns and driving factors in tourists’ seemingly random behaviors across inter- and intra-township scales, with empirical evidence from the Pilot Zone of the Yangtze River Delta Green and Integrated Ecological Development Demonstration Area. Results show that the tourism flow network in the study area exhibits a distinct hierarchical structure. Nodes with high centrality are predominantly high-profile scenic spots that serve dual roles as both “cores” and “hubs” in the network. Most statistically significant association rules were observed at the intra-town level. In contrast, inter-town rules (exclusively among towns within Qingpu District, Shanghai) accounted for only a small proportion, where high-A-level tourist attractions frequently served as key nodes that enhanced cross-regional visitation probability. The determinants of tourist flow association rule intensity exhibit both commonalities and heterogeneities between intra-town and inter-town scales. Full article

This study seeks to examine the attractiveness of higher education institutions as community spaces for students and the significance of the services they provide. It aims to explore students’ perspectives on planning their long-term futures, particularly in assessing whether the university environment serves as a stronger influence than their place of origin or family background. The role of the university is particularly significant if it is located outside the student’s town of origin, so the student’s decision to attend a particular institution is not necessarily based on the specific undergraduate program or the prestige of the university. The study combines a review of the national and international literature with an empirical investigation, utilizing a questionnaire survey to analyze students’ decision-making processes. Many students perceived the university as a transitional “island”, offering a temporary space to inhabit before embarking on their future careers. The degree obtained serves as a “passport” to professional opportunities, while the university experience provides a unique community environment and represents a significant step toward independence and separation from familial influence. These findings hold particular relevance for universities, which are continually redefining their roles in response to changing student expectations. Many students view the university not merely as a site of learning but as a precursor to adulthood and a foundational space for personal growth. This study addresses a gap in the existing literature by focusing on the appeal of universities as local hubs and comparing their influence to the retaining power of family ties, offering insights for student development. Full article

Urban soundscape management is a central challenge to the livability and sustainability of cities and requires approaches that complement level indicators with frameworks capable of integrating context, use and experience. In this framework, the present work applies a multilayer methodology to the Old Town of Bilbao, understood as a useful case study to explore the applicability of soundscape reading in historic centers with intense coexistence of commercial, hospitality and catering uses, pedestrian, logistical and cultural uses. The methodology is organized into two phases. The first focuses on the recording and documentation of control points and routes through sound fieldwork, perceptual descriptions and homogeneous systematization of information. From this corpus, a qualified sound map and a first visual characterization of the sound identity are elaborated. The second phase presented in this article, consists of the interpretative synthesis of the corpus through five analytical dimensions and the preparation of fragments and sound sequences conceived for future application through reactivated listening. The results are presented at three levels: (1) a traceable documentary corpus of records, files and synthetic representations; (2) a comparative reading by dimensions that identifies spatial contrasts between interior, exterior and perimeter, as well as relationships between urban form, uses, persistence, masking and salience; and (3) a set of operational audio materials prepared for subsequent comparison with inhabitants and users. In a transversal way, type–token reading distinguishes between the diversity of sounds and dominance by repetition. The article does not yet carry out participatory validation of these materials; its contribution consists of proposing and applying a traceable analytical protocol as a basis for future phases of social contrast and applied discussion. Full article

Walkability has reemerged as a central interest within planning, public health, and built environment research, yet evidence demonstrates that new urban extensions or emerging New Towns across England continue to reproduce conditions of car dependency and limited active travel options. This paper examines the structural, spatial, and sociocultural factors shaping walkability through an in-depth analysis of five residential case studies. It draws on spatial analysis and assessment of resident behaviour using sociodemographic data. Findings indicate significant disparities in walkability outcomes, with some developments characterised by fragmented layouts, weak public transport integration, and environments that make walking impractical or undesirable. The paper argues that walkability must be understood as a multidimensional, relational property of place, rather than a static design feature. The current dominant planning practices continue to prioritise vehicular access and associated infrastructure, undermining national goals for decarbonisation, health equity, and sustainable mobility. Thus, this study identifies the spatial, governance, and policy conditions necessary to deliver genuinely walkable neighbourhoods and highlights the systemic barriers that continue to constrain progress. The findings offer critical insights for planners, policymakers, and developers seeking to create environments that support healthier, more equitable, and less car dependent futures. Full article

Against the backdrop of a multi-tiered governance system and increasingly institutionalized norms, China’s historical and cultural preservation policies have long emphasized institutional standardization and hierarchical uniformity. Local policy texts are typically viewed as localized replicas of central institutional logic, overlooking internal variations and differences in information structure. Accordingly, this study examines the Regulations on the Protection of Historical and Cultural Cities, Towns, and Villages issued by 13 provincial-level administrative regions in China. It conceptualizes provincial regulatory texts as institutionalized policy information systems, constructs a cross-regional corpus, and develops a comparative information structure analytical framework based on the Latent Dirichlet Allocation (LDA) topic model. This study operationalizes LDA-derived topic-weight distributions into a comparative analytical framework that captures structural prominence, dispersion, concentration, and priority hierarchy in provincial policy texts. The findings reveal that provincial-level historical and cultural preservation regulations in China exhibit a highly institutionalized information backbone, centered on administrative procedures, legal norms, and macro-level planning controls, and demonstrate significant institutional similarity across provinces. However, within this unified institutional framework, provinces exhibit structural differences in the distribution of thematic weights, information prioritization, and internal textual sequencing, resulting in multiple distinguishable information organization patterns. Consequently, this study highlights the coexistence of formal institutional uniformity and structural differentiation in provincial regulatory texts, providing a more precise basis for understanding variation in local policy expression within China’s historical and cultural governance field. Full article

Driven by the goal of carbon neutrality, low-carbon development in township spaces is essential for sustainable urban–rural growth. This paper employs a carbon accounting methodology, taking Fuqiushan Town in the Dongting Lake Ecological Economic Zone as a case study to develop a detailed carbon measurement inventory at the township scale. Using spatial analysis techniques, it synthesizes multi-source data—including land use, agricultural inputs, and population—to estimate emissions from key sources such as crop cultivation, livestock and poultry breeding, industrial production, and residential activities. The study also evaluates the carbon sequestration capacity of sinks such as woodlands and water bodies, enabling the spatial visualization of both carbon emissions and carbon sinks. Key findings include: (1) Fuqiushan Town exhibits a carbon emission profile characterized by “industrial activities as the primary source, supplemented by agriculture, with additional contributions from residential and transportation sectors,” while forested areas and water bodies serve as core carbon sink zones. (2) An innovative multidimensional indicator system for low-carbon development efficiency was established, consisting of the Low-Carbon Development Efficiency Index in Production, the Daily Life Carbon Responsibility Efficiency Index, and the Ecological Carbon Sink Efficiency Index, which together form a Comprehensive Efficiency Index for Low-Carbon Development. (3) Analysis reveals significant spatial coupling relationships and efficiency differentiation patterns among carbon emissions, industrial structure, energy dependence, and ecological background. Based on dominant carbon emission types, low-carbon efficiency thresholds, and spatial factor interactions, the 17 villages and one forest farm in the township are classified into five zones: “Industrial High-Carbon Transition Zone,” “Agricultural Pollution Reduction and Carbon Emission Reduction Synergy Zone,” “Ecological Low-Carbon Conservation Zone,” “Human Settlements Balanced Development Zone,” and “Ecological Core Zone.” Tailored low-carbon spatial planning strategies for material resources are proposed for each zone. These results offer quantitative support and spatially targeted insights for low-carbon spatial planning in ecologically sensitive townships, contributing to the achievement of objectives such as “carbon reduction and sink increase” and “rural revitalization.” Full article