Urban Science

This paper examines the essential role of urban green spaces in fostering healthy living from a landscape architecture perspective. Health goes beyond the mere absence of disease to include physical, mental, and social wellbeing, all of which are greatly enhanced by accessible green spaces. By synthesising existing literature, this paper shows that urban green spaces have strong positive associations with health outcomes, especially in urban settings where environmental stressors are pronounced. The paper stresses the importance of designing attractive and accessible green spaces that encourage physical activity, mental wellbeing, and social interaction, addressing public health issues such as obesity and mental health disorders. In addition to physical and mental health benefits, the paper explores the potential of local food production through edible green infrastructure, such as community gardens, which can significantly improve diet and nutrition. Additionally, the study discusses disparities in the access to quality green spaces, particularly between the Global North and South, and advocates for equitable design strategies that serve diverse populations. Integrating evidence-based approaches into landscape architecture, the paper argues for the establishment of urban green spaces as essential elements of public health infrastructure. Finally, the paper calls for future research and policy efforts to maximise the health benefits of urban green spaces and improve the quality of life in urban environments. Full article

The transition from traditional legacy cities to smart cities represents a pivotal juncture in urban development and governance. As cities worldwide grapple with the challenges of rapid urbanization, resource constraints, and the need to enhance the quality of life for their citizens, the concept of a “smart city” has gained significant attention. This paper delves into the multifaceted process of urban transformation, shedding light on the essential criteria and considerations that guide a city’s conversion into a smart city. To provide a comprehensive framework for the conversion process, this paper outlines a computer program utilized to measure the readiness to transform a traditional city into a smart city. The transformation criteria encompass technological innovation, data-driven decision-making, infrastructure development, and effective governance models. It explores the significance of citizen engagement, privacy concerns, and sustainability in shaping the transformation process. Case studies of potential cities in Egypt that are ready to be successfully transformed into smart cities are presented to illustrate how these criteria have been applied in real-world contexts. Ultimately, this paper provides a roadmap for city planners, policymakers, and urban stakeholders, offering guidance on the essential elements and considerations required to navigate this complex and transformative journey successfully. In an era where urbanization continues to accelerate, the transition to smart cities is not merely a futuristic concept but a pressing necessity for ensuring the sustainability and prosperity of our cities. Full article

In recent years, mobility as a service (MaaS) has been thought as one of the opportunities for shifting towards shared travel solutions with respect to private transport modes, particularly owned cars. Although many MaaS aspects have been explored in the literature, there are still issues, such as platform implementations, travel solution generation, and the user’s role for making an effective system, that require more research. This paper extends and improves a previous study carried out by the authors by providing more details and experiments. The paper proposes a diachronic network model for representing travel services available in a given MaaS platform by using an agent-based approach to simulate the interactions between travel operators and travelers. Particularly, the diachronic network model allows the consideration of both the spatial and temporal features of the available transport services, while the agent-based framework allows the representation of how shared services might be used and which effects, in terms of modal split, could be expected. The final aim is to provide insights for setting the architecture of an agent-based MaaS platform where transport operators would share their data for providing seamless travel opportunities to travelers. The results obtained for a simulated test case are promising. Particularly, there are interesting findings concerning the traffic congestion boundary values that would move users towards shared travel solutions. Full article

Ever-growing cities constantly increase the distance between suburban regions and semi-urban areas on the perimeter of the cities, where traditional crop production can take place with relatively fewer restrictions. The implementation of ultra-short supply chains implies moving the means of crop production as close to inhabitants as possible. Two main directions can be identified as effective for increasing the food resilience of densely populated suburban areas; these are soil-based traditional urban agriculture and high-tech plant factories. Both approaches to crop production offer a certain level of integration with the built environment; however, these alternatives differ in terms of their contributions to environment modulation, agrobiodiversity, social well-being, and food resilience. Vertical farms can produce a high amount of nutritionally rich crops for direct use, although the involvement of inhabitants is minimal; therefore, they can be considered a service function without social advantages. Open-field plant production can contribute to the well-being of locals, but the yields are considered rather supplementary. The combination of both production approaches to strengthen common advantages is less likely; automated production technologies require a low number of highly qualified personnel; therefore, community plant factories cannot be considered possible contributors to urban social well-being in the future. Full article

The aim of this study is to clarify the calculation of economic compensation within the urban emergency transportation capacity requisition mechanism during public health emergencies. This paper establishes an emergency capacity pool for social vehicles at three levels—city, county, and community. The pool primarily targets third-party logistics enterprises, supported by temporary transportation capacity from social sources. Considering requisition expenses, financial losses, economic incentives, and other relevant factors, a mathematical model is proposed using cost analysis to determine compensation for transportation capacity requisition. A cost correction coefficient is introduced to calculate the compensation standard for urban emergency capacity requisition. Finally, the model’s validity is verified through a case study of an urban public health emergency. The results indicate that applying a fixed cost modification coefficient of 1.04:1:1.92 and a variable cost modification coefficient of 1.06:1:3.50 for the three types of vehicles can standardize requisition compensation calculations. This approach provides an objective, scientific benchmark for market reference and reduces discrepancies in compensation calculations between the government and enterprises during emergency requisitions. This paper also establishes theoretical foundations for standardizing regulations on compensation for urban emergency capacity requisitions. Full article

An Urban Heat Island (UHI) is an important variable in climate and environmental studies. Nowadays, population growth and urbanization development are the most important factors affecting the temperature increase in urban areas, which cause the creation of heat islands in urban areas. (1) Background: This study explores the influence of major land uses on the creation of Urban Heat Islands in Urmia city, Iran. (2) Methods: To achieve the aim of this study, Landsat satellite data including Landsat 5 and 8 imageries from the time periods of 1990 and 2023 were used. With the series of data processing and analyses on vegetation cover and land surface temperature, the impact of main land uses on the creation of Urban Heat Islands and the intensification of their effects have been investigated. (3) Results: The analysis reveals that barren lands consistently exhibit the highest temperature, while garden lands show the lowest temperature across both periods. In addition, the spatial distribution of Urban Heat Islands demonstrates a clustered pattern throughout the study period, with hot spots mainly located in the northwestern and southwestern areas. (4) Conclusions: This study’s findings can be helpful for urban policymakers and planners to develop practical strategies to mitigate UHIs and improve climate resilience in cities. Full article

While many studies have used Earth observations to quantify urbanization in Africa, there is still a lack of empirical evidence on the role of secondary cities in the fastest urbanizing region in the world. Moreover, the diversity of urbanization processes in Africa, which can be more or less compact in terms of land consumption, remains insufficiently acknowledged and under-documented. This empirical study employed mixed methods to address these research gaps. We analyzed and compared the spatiotemporal dynamics of two secondary African cities, Ho (Ghana) and Kpalimé (Togo), between 1985 and 2020. We compared their spatial growth (the rate of urbanization of land) with their respective population growth rates using Landsat TM and ETM+ imagery, and population data. To understand the factors behind eventual differences between the spatial patterns of urbanization of the two cities, our quantitative analysis based on remote sensing was confronted with qualitative data from individual interviews with key stakeholders. Our results showed two distinct urbanization trajectories between 1985 and 2010, with Ho following a more compact pattern than Kpalimé. Since 2010, however, both cities have tended towards urban sprawl, with an urbanization rate greater than the population growth rate. According to the interviews, the main determinants of urban sprawl in these two secondary cities were the absence of housing policies for low-income groups, the absence or inefficacy of urban master plans, the preponderance of single-family housing, and land speculation. Full article

The planning of greener, more accessible, and safer cities is the focus of several strategies that aim to improve the population’s quality of life. This concern for the environment and the population’s quality of life has led to the implementation of active mobility policies. The effectiveness of the mobility solutions that are sought heavily depends on the identification of the main factors that favor their use, as well as how adequate urban spaces are in minimizing existing difficulties. This study presents an automated geographic information system (GIS) decision support tool that allows the identification of the level of suitability of urban transportation networks for the use of active modes. The tool is based on the determination of a set of mobility indices: walkability, bikeability, e-bikeability, and active mobility (a combination of walking and cycling suitability). The indices are obtained through a spatial multi-criteria analysis that considers the geometric features of roads, population density, and the location and attractiveness of the city’s main trip-generation points. The treatment, representation, and study of the variables considered in the analysis are carried out with the aid of geoprocessing, using the spatial and network analysis tools available in the GIS. The Model Builder functionality available in ArcGIS^® was used to automate the various processes required to calculate walking, cycling, and e-biking travel times, as well as the mobility indices. The developed tool was tested and validated through its application to a case study involving the road network of the urban perimeter of the medium-sized city of Covilhã, Portugal. However, the tool is designed to be applied with minimal adaptation to different scenarios and levels of known input information, providing average or typical values when specific information is not available. As a result, a flexible and automated GIS-based tool was obtained to support urban space and mobility managers in the implementation of efficient measures compatible with each city’s scenario. Full article

Recent studies have demonstrated the significance of mental maps in facilitating a more comprehensive understanding of how individuals perceive and mentally represent physical spaces. It is of great importance to consider discrepancies between real and perceived environments when utilising mental maps as instruments. The objective of this paper is to examine the mental representations of Timișoara, Romania in order to identify the spatial elements (neighbourhoods, streets, landmarks, urban symbols) that are particularly salient in the respondents’ mental representations of the city. A total of 559 mental maps were conducted using GIS and quantitative methods to indicate the perceived spatial elements. The findings suggest that spatial perception is influenced by certain dimensions connected to respondents’ socio-demographic features. The findings also indicate that peripheral areas of the city are perceived as lacking memorability and attractiveness, confirming that these neighbourhoods do not fulfil the necessary functions of an urban space. It can be concluded that mental mapping serves as an efficient approach to the analysis of community–space relationships. The implications of this study are valuable for any stakeholders with activities in the city of Timisoara and contribute to sustainable, qualitative, and community-based urban planning. Full article

Vehicular transportation is one of the most widely used modes in modern cities for reaching key destinations such as workplaces, healthcare facilities, recreational areas, and educational institutions, among others. However, the performance of vehicular traffic on these roads can vary significantly due to the influence of different environmental variables. In the literature, factors such as traffic incidents, weather conditions, road infrastructure, and driving habits, among others, have been identified as impacting vehicular traffic performance. In this context, predictive models have been developed to anticipate congestion at specific points in cities based on statistics, machine learning, simulation, and complex networks. This study proposes a novel index aimed at assessing the level of performance of vehicular traffic on streets based on the relationship among relevant urban environmental variables. This index is generated through Genetic Programming, considering a set of variables related to traffic, incidents, and services. The case study will focus on the streets of the Tlalpan Municipality in Mexico City. Full article

Playgrounds are envisaged as spaces designed to provide a safe and enjoyable environment that facilitates physical activity among children and adolescents. However, in various instances within cities formerly under socialist governance, these playgrounds have suffered neglect and lacked maintenance, coherent conceptual frameworks, professional oversight, suitable materials for playground structures, and attention to vegetation or potentially toxic elements. They became residual areas in the city’s built environment. Presently, the evaluation and the regeneration of playgrounds in cities have emerged as a significant task. Amidst the densely populated urban fabric, these spaces hold considerable importance for outdoor activities, social interaction, recreational pursuits, and the healthy development of future generations. Simultaneously, these places can play a crucial role in a city’s green infrastructure, local landscapes, and the challenges of sustainability prompted by climate change. The landscape analysis of 22 playgrounds classified them based on land use characteristics, location, functions, equipment, quality, and accessibility. A case study in Târgu-Mureș, scrutinized in detail within this analysis due to its proximity to the city center, within a densely populated urban area, and its multifaceted functionalities, underscores the need for a comprehensive approach encompassing diverse disciplines to address its manifold usage requirements. Full article

Accelerated urbanization challenges cities globally. Ensuring good quality of life and environmental protection requires innovative, data-driven solutions. Sustainable and smart cities (SSCs) offer a promising response, but effective implementation depends on selecting and using appropriate dimensions and indicators. The main objective of this article is to present a systematic review within the framework of SSCs to study trends in the use of dimensions and indicators. A citation frequency index (Q) considering quartiles is used to determine the importance of the variables considered in this study. A spatiotemporal analysis of the dimensions and indicators detected is also performed. The results suggest that the multifaceted nature of SSCs necessitates a holistic approach, with environmental (Q3 = 0.536) and social (Q2 = 0.403) dimensions being principal. Despite the lower ranking (Q1 = 0.080) of the information and communication technology (ICT) dimension, its pervasive influence highlights its evolving importance. Effective ICT implementation relies on robust social and environmental foundations, illustrating their interdependence. The governance (Q1 = 0.169) dimension is also essential for the creation of transparent and equitable urban policies. Key indicators related to energy systems (Q2 = 0.379), data analysis (Q2 = 0.327), and resource management (Q2 = 0.291) are crucial for operational efficiency and sustainability. Continental differences in prioritizing SSC dimensions highlight the importance of context-specific strategies, reflecting unique challenges and opportunities faced by different continental areas. By understanding and addressing these continental differences, policymakers and urban planners can more effectively promote sustainable and resilient urban development worldwide. Full article

The population life and health quality are significantly reduced due to water resources pollution caused by heavy metals, especially in urban agglomerations located close to metal ore mining and processing facilities. The greatest environmental pollution occurs during the extraction of Cu, Zn, and Pb. In this study, a fractal R/S analysis of wastewater discharge indicators time series from a metal ore mining facility located in the Sayak ore district in the Republic of Kazakhstan (turbidity, electrical conductivity, flow magnitude, and pH level) was carried out. A sharp increase in the flow rate was recorded from 10 to 15 July 2024 and an increase in the electrical conductivity from 4 to 26 July 2024. However, the latest type of indicator assessment does not exceed the critical level for life. The presence of electrical conductivity indicators time series long-term memory and persistence was also recorded (the Hurst exponent for the electrical conductivity time series is fixed in the 0.56 to 0.59 range and does not go below the threshold value for randomness according to the Anis-Lloyd formula). Thus, the value-changing process is controlled and stable, and minor changes in turbidity indicate that these releases do not significantly harm the environment. Despite this, the results obtained do not allow for a comprehensive analysis of the state of releases as the data from all deposits is not available. Therefore, due to the time constraints of the data provided for analysis, it is difficult to fully assess the impact of specific metal ore mining facilities on the environmental safety of the Balkhash urban region. In addition, many studies indicate very high risks of chronic diseases for the population living in this region. The findings of this study enable us to conclude that the application of fractal analysis and the calculation of fractal characteristics for time series of emissions can serve as an indicator of the environmental status within the given area. This information can be used by environmental services to build reliable environmental pollution monitoring systems. Full article

Encouraging walking to grocery stores can enhance environmental sustainability by reducing vehicle emissions and easing traffic congestion. While research has largely focused on measurable factors like distance and physical accessibility, less attention has been paid to how perceived built environments and personal attitudes affect walking behavior. This study delves into how socio-demographic traits, social influences, and perceived built environments influence walking decisions. The key findings reveal that factors such as ethnicity and income significantly impact decisions to walk, with well-maintained sidewalks enhancing appeal and obstacles like construction serving as deterrents. Positive attitudes towards walking further encourage this behavior, underscoring the need for targeted public health interventions. These insights are crucial for designing communities that support walking, ultimately improving community health and environmental sustainability. Full article

To move towards a circular economy and to meet the upcoming EU soil health legislation, both contaminated land and contaminated soil should be acknowledged as fragile and valuable resources to be restored and recycled to provide essential ecosystem services to humans. Underused, often contaminated land can be returned to beneficial use as urban greenspace (UGS) with the help of gentle remediation options (GROs). GROs are plant-, fungi-, bacteria-, and soil amendments-based risk management mechanisms that can also simultaneously improve soil functions and the provision of ecosystem services. This study (i) presents a framework including tools and methods for exploring opportunities for transforming brownfields to UGS using GROs to deal with soil contamination, (ii) demonstrates its application for a case study site in Gothenburg, Sweden, and (iii) presents stakeholders’ views on the suggested framework. This framework can support the transition of brownfields to UGS while recycling both land and soil and increasing the market value of the site and its surroundings. Stakeholders found the suggested framework useful but identified some challenges for its practical implementation, mainly associated with financial aspects and the existing practice and level of knowledge. Stakeholders also identified the need for additional practical tools to (a) make predictions about the time required for GROs to reach acceptable risk levels, (b) monetize non-market benefits such as ecosystem services for communicating benefits to decision-makers, and (c) provide support for plant and soil amendment selection for various GROs and contaminants. Full article

This study investigated the current state of artificial intelligence (AI) in urban planning by analyzing 744 research publications. Utilizing topic modeling analysis with latent Dirichlet allocation (LDA) and ChatGPT, we interpreted and categorized weighted keywords from this analysis, and then generated topic names based on these insights. The analysis identified 16 key themes within the corpus, encompassing a range of topics including urban and transport planning, urban and architectural design methods, as well as algorithms and predictive modeling techniques. The most prevalent topic identified was “Urban Design and Architectural Methods”, emphasizing the integration of AI in urban design strategies. Other significant themes included “Smart Urban Development and Social Governance” and “Algorithms and Predictive Modeling in Transportation”. The findings demonstrate the diverse applications of AI in urban planning, such as enhancing public services, optimizing transportation systems, and managing urban development. This study underscores the increasing application of AI in addressing urban challenges and provides a comprehensive overview of the current state of research, offering useful insights for future studies and potential implementations in urban planning. The study findings offer researchers and practitioners invaluable insights, uncovering both opportunities and gaps in the literature that can guide and shape future research and practical initiatives. Full article

As creative tourism consolidates both as an autonomous research area and a valid sustainable form of tourism based on learning, active participation, co-creation, creative self-expression, and local community engagement, its economic models have evolved from simple creative activities to complex territorial and technological-based networks, boosting the entrepreneurship of creative communities in tourism. Seen as a means of territorial development strategy through tourism, creative networks can stem from private partnerships, the public sector, the local community, or third sector organisations. Focusing on a case study approach, this research adopts a multidimensional framework with the goal of analysing the benefits of creative tourism towards a creative tourism network. Using a quantitative approach through Likert scale statements of five items, this research aimed to study the creative supply and demand linked to a creative tourism network. Based on the principles and benefits of creative tourism and the goals of the creative network, the following dimensions were analysed: job creation; production and commerce of creative products; safeguarding of tangible and intangible heritage; development of social capital between network agents; creative and innovative images of the region; the active role of the local community in the network; and the consumption profile of the creative tourist through the network. The main conclusions of the study point to the network boosting local job creation and preserving local traditions but struggling to expand sales and increase tourist stays. While it enhances the region’s image, there is a need for stronger collaboration and community engagement. Full article

In Africa, the urban population and informal settlements are increasing, resulting in additional public health and environmental risks and challenges related to the need for basic and sustainable infrastructures and services. In Maputo, the capital of Mozambique, at least 80% of the city is composed of informal settlements, and although some areas are regularized and have approved urbanization plans, the municipality has major deficiencies in meeting current demands in terms of basic infrastructures, such as water supply, sewerage, solid wastes, energy, roads, and communications. Most of the peri-urban areas are occupied by small but overcrowded houses, mostly self-built, served by unpaved roads, and with access limitations. The water pipe network is almost non-existent, and the same occurs with stormwater drainage, sanitation, waste collection, and public illumination services. Despite the improvements made in the last few years, some households still do not have safe sanitation, and in some neighborhoods, open defecation still prevails. In this study, the authors try to understand and explore the interdependences among the infrastructures of the different sectors and how they may jointly contribute to adequate services and a better life for the urban poor. And how to identify the combination of infrastructures to be implemented in the short term in the face of limited budgets for investments. For that purpose, a simplified conceptual approach is proposed and applied to an informal neighborhood in Maputo. Full article