Tourism externalities, such as gentrification, over-tourism, and the Bilbao effect, are key concerns in contemporary urban and regional planning. A wide range of approaches for measuring sustainable tourism have been developed, highlighting the challenges associated with comparing performance and outcomes across different destinations and scales. To address these issues, the paper proposes a spatially explicit taxonomic classification of the tourism ecosystem structure to a relevant set of spatial variables that characterize the supply of a specialized tourism value chain. The study identifies, evaluates, and compares specialized tourism destinations areas, applying the balanced supply index to produce a high-resolution cultural tourism map. The approach strengthens electronic planning by integrating geospatial data into a robust analytical framework, aiding sustainable tourism management and regional planning. It supports place-specific policy design and promotes adaptive, data-driven urban and regional electronic planning.

Building information modeling (BIM) and geographic information systems (GISs) are increasingly integrated to meet modern infrastructure demands. A key challenge is the lack of interoperability between the Industry Foundation Classes road model used in BIM and the CityGML transportation model used in GIS. This study presents the unified road model, a framework for bidirectional interoperability by aligning semantic definitions, geometric representations, and attribute mappings to preserve engineering and geospatial data. The unified road model combines volumetric data from the Industry Foundation Classes with CityGML's multiple levels of detail and was validated through a signalized intersection and a roundabout in the Örebro–Karlskoga corridor in Sweden. Results show the unified road model connects data from both domains, maintaining attributes such as material properties, alignment geometry, and spatial relationships. This demonstrates its potential to enhance multidisciplinary workflows, reduce data loss, and improve BIM–GIS collaboration. The study recommends further research into automation, scalability, and smart city applications.

Urban environments are increasingly governed by digital infrastructures that mirror the vision of supply chain management. With the deployment of digital twins and real-time surveillance systems, cities are becoming spaces where citizens are monitored, sorted, and routed with the same efficiency-driven principles applied to goods in logistical networks. The emergence of what may be called the palletized citizen reflects this shift: individuals are treated as standardized, trackable units, whose trajectories through urban space are shaped by algorithms prioritizing flow optimization over human agency. While proponents emphasize gains in safety and efficiency, these technologies introduce profound ethical dilemmas. The integration of facial recognition and predictive behavior modeling points to a broader global trend that risks normalizing hyper-surveillance. This paper critically examines how the digital management of urban life increasingly aligns with logistical rationality, raising urgent questions about autonomy, privacy, and the future of public spaces.

This study investigates how personal profiles influence perceptions and satisfaction with outdoor spaces on a university campus. An online survey collected data on environmental satisfaction, service perceptions, and sociodemographic characteristics. Using structural equation modelling with the Mplus program, relationships were identified among these variables. Results show that factors like age, gender, academic discipline, usage frequency, and space preferences significantly affect perceptions of landscape service quality. Regulating service quality emerged as a key satisfaction determinant across diverse user groups. Findings highlight the need for urban planners to design inclusive, high-quality, and user-responsive spaces, with important implications for improving sustainable urban green infrastructure beyond university campuses.

Urban road safety remains a pressing global challenge, with approximately 300,000 annual pedestrian fatalities attributed to vehicle collisions. While speed reduction is a well-established safety intervention, universal speed limit reductions can lead to negative externalities like increased travel time and pollution. To address this conflict, this study introduced an agent-based model integrating multi-agent transport simulation mobility and micro-simulation with pedestrian safety modeling for urban e-planning. Our granular analysis reveals nonlinear relationships between speed limits, safety outcomes, and travel times. Specifically, we identified instances where seemingly minor speed adjustments lead to significant and disproportionate changes in safety and travel time. Our framework provides urban planners with an anticipatory phase diagram of speed limit impacts, enabling evidence-based strategies and informed decision making. This research advances sustainable mobility planning by facilitating speed management and balancing safety and mobility within complex urban systems.

The climate crisis and the post-pandemic scenario underline the interaction of urban structure and land use organization. The study focuses on the “15-minute city” concept as a significant model for urban adaptation to improve equity, sustainability, and economic vitality. The objectives are to evaluate levels of compliance to 15-minute city criteria of the metropolitan city of Cagliari, in Italy, and to understand relations among access to amenities and mesoscale factors of urban form. The findings underline disparities across the metropolitan area, the emergence of a multi-level structure of metropolitan and local centers, and the significant relation among urban form factors and access to amenities. In particular, R2 values for linear regressions of access to amenities on population density, road intersection density, and local integration range respectively from 0.742 to 0.975, 0.634 to 0.952, and 0.545 to 0.952. The study identifies density, permeability, and centrality as central targets of urban regeneration policies.

The fitness platform Strava gathers data from its users that the company repackages and shares through its Strava Metro platform. Municipalities have been using these data to inform their active transportation planning efforts, but less is known about how they use these data and account for their limits. Through interviews with municipal staff who are long-standing Metro users, this paper examines how decision-makers use these data and mitigate for their limitations. It concludes with reflections on the role of third-party data in urban planning efforts and their impact on planning outcomes.

The aim of this research is the quantitative characterization of climate risk, in order to support spatial planners in choosing resilient adaptive actions at the urban and territorial scale. According to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, climate risk is the combination of hazard, exposure, and vulnerability parameters. Vulnerability is a function of the climate sensitivity and the adaptive capacity. From the planners' point of view, climate sensitivity expresses the degree to which the study area is influenced by the climate variability. In this regard, the authors have implemented a GeoDataBase to quantify the climate sensitivity over a southern Italian region, analyzing long-term measured meteorological data (air temperature and precipitation) and subsequently generating synthetic maps by interpolating data. As a result, the authors present climate sensitivity maps of the Calabria region, providing useful physical and data-based identification of priority areas for planning purposes.