Search Results (36)

This paper presents a self-driving system for automatic parallel parking, integrating obstacle avoidance for enhanced safety. The vehicle platform employs three primary sensors—a web camera, a Zed depth camera, and LiDAR—to perceive its surroundings, including sidewalks and potential obstacles. By processing camera and LiDAR data, the system determines the vehicle’s position and assesses parking space availability, with LiDAR also aiding in malfunction detection. The system operates in three stages: parking space identification, path planning using geometric circles, and fine-tuning with fuzzy control if misalignment is detected. Experimental results, evaluated visually in a model-scale setup, confirm the system’s ability to achieve smooth and reliable parallel parking maneuvers. Quantitative performance metrics, such as precise parking accuracy or total execution time, were not recorded in this study but will be included in future work to further support the system’s effectiveness. Full article

The article presents an innovative methodology supporting sustainable urban development through the strategic expansion of green infrastructure in Warsaw, based on the 3-30-300 concept. The proposed approach integrates a multi-criteria Fuzzy Analytic Hierarchy Process (F-AHP) with Geographic Information System (GIS) tools, enabling objective and precise identification of suitable locations for new parks of at least 1 hectare in size. The analysis considers five key factors: distance from populated areas, land cover and use, surface temperature, proximity to nuisance facilities, and an NDVI index value. The study results demonstrated a significant increase in green space accessibility across the city. In all districts of Warsaw, the number of residential buildings meeting the criterion of a maximum 300 m distance to a park or forest increased—from 2% in Rembertów to 32% in Wilanów. The districts of Ursynów and Wilanów exceeded the 30% green space coverage threshold, while Białołęka reached 29%. These results indicate the real potential to achieve the goals of the 3-30-300 concept, contributing simultaneously to sustainable urban development, improved quality of life, mitigation of the urban heat island effect, increased biodiversity, and enhanced climate change adaptation. Spatial limitations related to high-density development were also identified—many districts lack available space for large parks. A viable solution supporting balanced development may lie in implementing smaller green forms, such as green squares or micro-parks, particularly in areas of planned development. The proposed methodology serves as a practical tool to support land-use management and sustainable spatial planning, addressing contemporary environmental, social, and urban challenges. Full article

Remote sensing imaging technology is one of the safest and most effective tools for gas leakage monitoring in chemical parks, as it enables fast and accurate access to detailed information about the gas cloud (e.g., volume, distribution, diffusion, and location) in the case of gas leakage. While multi-spectral imaging systems are commonly used for hazardous gas leakage detection, efforts to realize the three-dimensional reconstruction of gas clouds through data obtained from multi-spectral imaging systems remain scarce. In this study, we propose a method for realizing the three-dimensional reconstruction of gas clouds with only two multi-spectral imaging systems; in particular, the two multi-spectral imaging systems are used to simultaneously observe the three-dimensional space with gas leakage and reconstruct gas cloud images in real time. A geometric method is used for the localization in the monitoring space and the construction of a three-dimensional spatial grid. The non-axisymmetric inverse Abel transform (IAT) is then applied to the extracted gas absorbance images in order to realize the reconstruction of each layer, and these are then stacked to form a 3D gas cloud. Through the above measurement, identification, and reconstruction processes, a 3D gas cloud with geometric information and concentration distribution characteristics is generated. The results of simulation experiments and external field tests prove that gas clouds can be localized under the premise that they are completely covered by the field of view of both scanning systems, and the 3D distribution of the leakage gas cloud can be reconstructed quickly and accurately with the proposed system. Full article

Amid rapid urbanization, cities are becoming increasingly compact, leading to intensified land resource constraints and environmental pressures. As a result, urban parks and green spaces have emerged as critical areas for providing cultural ecosystem services (CESs). However, the spatial distribution of CES supply and demand within urban green spaces remains significantly unbalanced, necessitating precise identification and quantification of CES supply–demand patterns to enhance ecosystem service efficiency. This study uses Nanjing, China, as a case study to develop an indicator framework for urban green space CES supply and demand, leveraging multi-source data. By employing spatial autocorrelation analysis (Bivariate Moran’s I) and a coupling coordination model, this research systematically assesses the spatial patterns of CESs in urban parks and green spaces. The results indicate that the overall CES supply–demand coordination in Nanjing exhibits a “high in the city center, low at the edges, and mismatched in the suburbs” pattern. Specifically, while 9.71% of the areas demonstrate well-matched CES supply and demand, 4.14% of the areas experience insufficient CES demand, and 3.66% face CES supply shortages, primarily in the urban outskirts, leading to a mismatch in green space distribution. This study further reveals the spatial heterogeneity of CES supply–demand matching across different urban districts. Based on these findings, this research proposes optimization strategies to improve CES allocation, providing a scientific basis for urban green space ecosystem service management and promoting the sustainable development of cities. Full article

The villa of the Veneto is a complex that includes the manor house, the agricultural buildings, as well as the green spaces of the garden, the orchard and the fields. The research presented in this article focuses on the case of Villa Giusti-Puttini at Santa Maria in Stelle (Verona, Italy), with the aim of unravelling the history and state of conservation of the villa’s park, which has never been studied before. The research has been carried out by interconnecting the historical archival documentation (written documents and maps) with the current state, always considering the possible interpretations suggested by the specialised related bibliography. The result has been the identification of the elements of permanence and transformation of the territory and landscape of the villa. Elements such as its boundaries, interior paths, vegetation and watercourses make it possible to outline guidelines aimed at recovering the memory of this historic landscape which has been largely preserved over the centuries, and which constitutes one of the most significant heritage aspects of this area of Italy. In addition to providing in-depth knowledge of a specific object, this research can serve as an example for the study of other cultural landscapes. Full article

Urban parks play a key role in mitigating heat stress and improving outdoor thermal comfort, especially in tropical and subtropical cities. This study evaluates thermal comfort in Nuevo Bosque Park (Montería, Colombia) through a multiperspective approach that combines perception surveys (n = 99), in situ microclimatic measurements, and spatial mapping. Surface temperatures ranged from 32.0 °C in the morning to 51.7 °C at midday in sun-exposed areas, while vegetated zones remained up to 10 °C cooler. Heat Index (HI) and Temperature–Humidity Index (THI) values confirmed severe thermal stress, with HI reaching 32 °C and THI peaking at 55.0 °C in some zones. Subjective responses showed that 69.69% of users reported thermal discomfort, especially in areas with impermeable surfaces and little shade. In contrast, 90.91% of respondents stated that tree cover improved their thermal experience. The results indicate a strong correlation between vegetation density, surface type, and users’ perceived comfort. Additionally, urban furniture location and natural ventilation emerged as key factors influencing thermal sensation. The integration of objective and subjective data has enabled the identification of microclimatic risk zones and informed evidence-based recommendations for climate-adaptive park design. This study offers practical insights for sustainable urban planning in tropical climates, demonstrating the importance of thermal comfort assessments that consider both human perception and environmental conditions to enhance the resilience and usability of public spaces. Full article

With the development of ecological civilization construction, urban planning and development in China have entered a phase in which optimizing and constructing ecological spaces is required. As a national livable city, Xuchang has experienced rapid economic development in recent years, leading to significant urban expansion that has impacted the layout of ecological space networks in the central urban area and its surroundings. Therefore, identifying and optimizing the spatial layout of ecological corridors in Xuchang City are crucial for ecological development and park city construction. This study utilizes multisource geospatial data to identify and extract ecological corridors in the central urban area of Xuchang City. Ecological resistance and gravity models are employed to identify and verify that the primary ecological corridor pattern in Xuchang City is situated in Weidu District, which is a central urban area. Finally, 11 main ecological corridors in the central urban area are delineated. In response to the identification of ecological corridors, this study integrates spatial analysis methods and text analysis methods to evaluate the characteristics of urban ecological corridors. The results indicate that Xudu Park extends outward, serving as the hub of the ecological network, and that West Lake Park and Luming Lake Park form the core of the urban park system. Finally, based on the spatial relationships, ecological benefits, and citizen experience of each ecological corridor and the green parks it traverses, strategies for optimizing the layout of urban ecological corridors are proposed. Full article

Landscape aesthetic quality (LAQ) evaluation is vital in territorial spatial planning. It helps to achieve the rational development and protection of territorial space and ensures the harmonious coexistence of developments and the ecological environment. Based on mapping and quantification, this paper took LAQ evaluation as the object, established a methodological framework for large-scale natural LAQ evaluation, excavated and identified key areas with outstanding landscape aesthetics service supply capabilities, and supported regional landscape planning and protection management. This paper took the Hengduan Mountains in China as an example to evaluate and identify the spatial distribution of the LAQ in mountainous areas. The results showed that the high-value LAQ areas are located east and south of the Hengduan Mountains, where high-quality natural landscapes are concentrated and have significant potential for establishing national parks. The evaluation results of the LAQ can provide a good reference for the spatial identification of future national parks in the Hengduan Mountains. Moreover, our research can provide a scientific basis for large-scale landscape spatial planning and decision-making for the classified protection and rational utilization of landscape resources and other mountain ecosystems. Full article

Climate change exerts a notable influence on the formation of public spaces, necessitating design solutions that address not only aesthetic and functional aspects but also adaptability to local environmental challenges. Public spaces in the form of streets, squares and parks constitute significant parts of cities, creating an opportunity to adapt to climate change through the proper use of ecosystem services. Through the examination of 114 projects from 29 countries showcased in two IFLA Europe exhibitions, this study assesses the extent to which contemporary public spaces integrate responses to prevailing environmental issues and locally contribute to climate change mitigation efforts. The results reveal a discernible rise in the incorporation of environmentally sustainable strategies within projects, particularly those focused on mitigation, protection, reuse, recovery, and education. Additionally, the identification of projects demonstrating the spectrum of responses to local threats is outlined. This research underscores the pivotal role of public spaces in ameliorating the local impacts of climate change within urban environments, emphasizing the increasing prevalence of such solutions in recent years and advocating for their formal recognition in contemporary principles guiding public space design. Full article

The aim of the research is to provide a numerical evaluation of the occurrence of New European Bauhaus (NEB) principles in urban plans, using four key indicators: GI (green infrastructure), POS (public open space), PSN (public and social needs), and UR (urban reconstruction). The initial step in the research involves determining numerical quantitative indicators with target reference values, which are then used as a measure of compliance with the vision of the NEB. Indicators are modeled based on elements embedded in urban plans and implemented in a framework for evaluating these plans. Through the analysis of collected data, a comparison is made with the set goals and values of the NEB, thus enabling the assignment of ratings for occurrence and identification of areas where improvements are needed. The research results for Rijeka point to the need for planning new green areas, maintaining and developing street networks, and increasing pedestrian and park areas. Additionally, there is a suggested need to increase content to meet public and social needs and expand areas planned for urban reconstruction. The research results emphasize the importance of monitoring and adjusting urban plans to the NEB platform to achieve sustainable and balanced urban development goals, highlighting the need for continuous improvement in the quality of urban planning. Full article

The COVID-19 pandemic has spurred the resurgence of the informal street vending economy. This revival has boosted the market economy but has also challenged urban governance. Recognizing street vending deregulation as both a stimulus for employment and a potential challenge to hygiene and safety, this study evaluates the suitability of street vending within Wuchang District of Wuhan, China. The methodology unfolds in four steps: constructing an indicator system based on a policy and literature review, a spatial quantitative analysis via GIS, weight allocation through expert consultation and entropy methods, and the identification of suitable areas as well as strategies. Findings reveal suitability clusters centered around key urban nodes, extending across central and mid-western zones through corridors like Zhongnan Road, demonstrating the potential for centralized management and economic permeation into surrounding areas. The analysis of land-use compatibility showed that commercial, park, and residential lands offer the highest suitability for vending activities, proposing management strategies tailored to enhance business in commercial areas, flexible configurations in residential zones, diverse development in parks, quality-oriented development in public squares, and strict control in scenic and tourist facilities. This study not only deepens our understanding of the geographical distribution of and factors influencing street vending, but also proposes integrated management strategies for vending in urban public spaces, fostering vibrant, inclusive, and sustainable urban environments. Full article

Parking space recognition is an important part in the process of automatic parking, and it is also a key issue in the research field of automatic parking technology. The parking space recognition process was studied based on vision and the YOLOv5 target detection algorithm. Firstly, the fisheye camera around the body was calibrated using the Zhang Zhengyou calibration method, and then the corrected images captured by the camera were top-view transformed; then, the projected transformed images were stitched and fused in a unified coordinate system, and an improved image equalization processing fusion algorithm was used in order to improve the uneven image brightness in the parking space recognition process; after that, the fused images were input to the YOLOv5 target detection model for training and validation, and the results were compared with those of two other algorithms. Finally, the contours of the parking space were extracted based on OpenCV. The simulations and experiments proved that the brightness and sharpness of the fused images meet the requirements after image equalization, and the effectiveness of the parking space recognition method was also verified. Full article

In modern cities, urban public spaces, such as parks, gardens, plazas, and streets, play a big role in people’s social activities, physical activities, mental health, and overall well-being. However, the traditional post-occupancy evaluation (POE) process for public spaces such as large urban parks is extremely difficult, especially for long-term user experiences through observations, surveys, and interviews. On the other hand, social media has emerged as a major media outlet recording millions of user experiences to the public, which provides opportunities to inform how public space is used and perceived by users. Furthermore, unlike previous research that primarily presented descriptive characters of park programs, our study employs a network model to elucidate the interactive relationships and intensities among reported park elements, human activities, and experiences. This approach enables us to track the sources within the space that impact people’s perceptions, such as weather conditions, food options, and notable landmarks. The utilization of this network model opens avenues for future research to comprehensively investigate the factors shaping people’s perceptions in public open spaces. This study uses Bryant Park as an example and presents a new analytical framework, POSE (post-occupancy social media evaluation), to support long-term POE studies for large public spaces. Methods such as data automation, descriptive statistics, and social network analysis were used. The identification and quantification of meaningful park activities, scenes, and sentiments as well as their relationships will help optimize the design and management of park programs. Full article

The proximity and accessibility of a green space to places of care have recognized beneficial effects on healing processes. In this communication, we present the results of a pilot research action which has been focused on a neglected urban green area located near to a university hospital. The research action was conducted with a participatory approach, which mainly involved university students, to make the renovation project more inclusive and to create an opportunity for training on green and sustainability themes. The specific aims were: (i) to initiate the renovation of a green space of 18,000 square meters with potential benefits for users of both the hospital and the University of Verona (north-eastern Italy); (ii) to map and classify the greenery in the park; and (iii) to investigate the opinions and attitudes of the potential users of the green area. By performing digital identification and mapping, a detailed tree inventory of the green space was created. Results showed that five species accounted for more than 70% of the trees, with the majority being deciduous plants (59%) between 5 and 20 m tall (72.5%) and 20–200 cm in circumference (80.8%). Through interviews with the population, we highlighted a limited knowledge of the area but a consensus on the importance of the requalification. We highlight how the participatory methodology may represent a valuable tool for local policymakers to manage the city’s green spaces at various scales and implement greenery for the common well-being. Full article

Shortly after the identification of COVID-19, public health experts recommended the use of face masks and social distancing to slow the spread of the virus. Early research indicates that there are associations between gender, age, and mask-wearing behavior. The primary aim of this paper was to explore how demographics, location, and mask mandates may affect COVID-19 mitigation strategies such as mask-wearing and social distancing. A prospective, cross-sectional observational study was conducted in Houston, TX from January to April 2021 at three outdoor locations: an urban park, an urban park with a trail, and a farmer’s market. During each two-hour data collection period, trained observers recorded the total number of people in the designated spaces; people were categorized by approximate age, sex, race/ethnicity, physical activity level, social distancing, and mask adherence using the Systematic Observation of Mask Adherence and Distancing (SOMAD) protocol. Multivariable logistic regression was used to determine associations with gender, race, age, location, and the mask mandate. A total of 7778 observations were recorded after exclusion of inconclusive demographic data. Females had higher odds, reported as an odds ratio, of mask use than males (OR = 1.35, 95% CI 1.18–1.54). Compared to White individuals, Asian individuals had higher odds of mask use (OR = 1.84, 95% CI 1.48–2.30). The odds of mask use were higher while the Texas mask mandate was in effect (OR = 1.60, 95% CI 1.40–1.84). Regarding location, the odds of mask use were much higher in the urban park than in the urban park with a trail (OR = 13.33). Individuals had higher odds of social distancing at the urban park with a trail compared to the farmer’s market (OR = 4.61, 95% CI 4.10–5.17). Mask wearing and social distancing behaviors differ by demographics, locality, and mask mandate. Thus, state policies can be effective tools to encourage mask wearing for disease mitigation. Full article