Editor’s Choice Articles

This study proposes the phytoremediation of phenanthrene (PHE)-, pyrene (PYR)-, and copper (Cu)-contaminated soil by Cannabis sativa L. The experimental campaign was conducted in 300 mL volume pots over a 50 d period using different initial polycyclic aromatic hydrocarbon (PAH) concentrations, i.e., 100 (PC1), 200 (PC2), and 300 (PC3) mg ƩPAHs kg⁻¹ dry weight of soil, while maintaining a constant Cu concentration of 350 mg∙kg⁻¹. PHE and PYR removal was 93 and 61%, 98 and 48%, and 97 and 36% in PC1, PC2, and PC3, respectively, in the greenhouse condition. The highest Cu extraction amounted to 58 mg∙kg⁻¹. In general, the growth of C. sativa L. under the PC1, PC2, and PC3 conditions decreased by approximately 25, 65, and 71% (dry biomass), respectively, compared to the uncontaminated control. The present study is aimed at highlighting the phytoremediation potential of C. sativa L. and providing the preliminary results necessary for future field-scale investigations. Full article

Purpose: Understanding the main factors affecting the environmental impacts of milk production and consumption along the value chain is key towards reducing these impacts. This paper aims to present detailed spatialized distributions of impacts associated with milk production and consumption across the United States (U.S.), accounting for locations of both feed and on-farm activities, as well as variations in impact intensity. Using a Life Cycle Analysis (LCA) approach, focus is given to impacts related to (a) water consumption, (b) eutrophication of marine and freshwater, (c) land use, (d) human toxicity and ecotoxicity, and (e) greenhouse gases. Methods: Drawing on data representing regional agricultural practices, feed production is modelled for 50 states and 18 main watersheds and linked to regions of milk production in a spatialized matrix-based approach to yield milk produced at farm gate. Milk processing, distribution, retail, and consumption are then modelled at a national level, accounting for retail and consumer losses. Custom characterization factors are developed for freshwater and marine eutrophication in the U.S. context. Results and discussion: In the overall life cycle, up to 30% of the impact per kg milk consumed is due to milk losses that occur during the retail and consumption phases (i.e., after production), emphasizing the importance of differentiating between farm gate and consumer estimates. Water scarcity is the impact category with the highest spatial variability. Watersheds in the western part of the U.S. are the dominant contributors to the total water consumed, with 80% of water scarcity impacts driven by only 40% of the total milk production. Freshwater eutrophication also has strong spatial variation, with high persistence of emitted phosphorus in Midwest and Great Lakes area, but high freshwater eutrophication impacts associated with extant phosphorus concentration above 100 µg/L in the California, Missouri, and Upper Mississippi water basins. Overall, normalized impacts of fluid milk consumption represent 0.25% to 0.8% of the annual average impact of a person living in the U.S. As milk at farm gate is used for fluid milk and other dairy products, the production of milk at farm gate represents 0.5% to 3% of this annual impact. Dominant contributions to human health impacts are from fine particulate matter and from climate change, whereas ecosystem impacts of milk are mostly due to land use and water consumption. Conclusion: This study provides a systematic, national perspective on the environmental impacts of milk production and consumption in the United States, showing high spatial variation in inputs, farm practices, and impacts. Full article

Heating buildings with air source heat pumps (ASHPs) has the potential to save energy compared to utilizing conventional heat sources. Accurate understanding of the efficiency of ASHPs is important to maximize the energy savings. While it is well understood that, in general, ASHP efficiency decreases with decreasing outdoor temperature, it is not well understood how the ASHP efficiency changes with different levels of thermal loading, even though it is an important consideration for sizing and controlling ASHPs. The goal of this study was to create an empirical model of the ASHP efficiency as a function of two independent variables–outside temperature and level of thermal loading. Four ductless mini-split ASHPs were evaluated in a cold chamber where the temperature (representing the outdoor temperature) was varied over a wide range. For each temperature, the ASHP performance data were collected at several levels of thermal loading. The data for all four ASHPs were combined and approximated with an analytical function that can be used as a general model for the ASHP steady-state efficiency as a function of the outside temperature and level of thermal loading. To the knowledge of the authors, no such empirical model that is solely based on third-party test data has been published before. While limitations exist, the model can be used to help guide future selection and operation of ASHPs. Full article

Dielectric microspacers (DMS) are a novel micro-technology that can be used to achieve a fixed micron/sub-micron gap distance between two separated surfaces, such as the emitter (cathode) and the PV cell (anode) of a near-field thermophotovoltaic converter (TPV). One of the system’s challenges is the flow of undesirable excess thermal energy from the cathode to the anode that might cause the PV cell to overheat. This work investigates the possibility of integrating this technology into a hybrid thermionic-photovoltaic (TIPV) converter operating at ultra-high temperatures (>1000 °C) without any risk of collector’s overheating, which might lead to its mechanical failure. A steady-state 3-D CFD model was developed in Fluent v17.1 solver to assess the system’s thermal behavior when the two electrodes were separated by a distance of 8–10 μm. The heat transfer through conduction across the system components and the net photon/electron flux between the two electrodes were simulated. Different cathode temperatures within the range of 1500–2500 K and various DMS shapes (capillary, cylindrical), patterns (e.g., ring-shaped) and sizes were studied. Results show that thermal performance is not affected by the DMS pattern, even for thermal conductivities of 80 W/(m·K), whereas the possibility of mechanical failure is considerable for T_cathode > 2000 K. Full article

Reducing methane (CH₄) is a key objective to address climate change quickly. Manure management and storage play a significant role. In this context, a real-scale trial was performed to measure the ability of the commercial additive SOP LAGOON to reduce carbon-based greenhouse gas (GHG) emissions from liquid manure over approximately 4 months. Gas emissions were measured at a commercial dairy farm from two slurry tanks, one treated with the abovementioned product (SL) and the other used as the untreated control (UNT). After 3 and 4 months from the first additive applications, the SL storage tank showed lower and statistically significantly different emissions concerning the UNT (up to −80% for CH₄ and −75% for CO₂, p < 0.001), confirming and showing improved results from those reported in the previous small-scale works. The pH of the UNT tank was lower than that of the SL on two dates, while the other chemical characteristics of the slurry were not affected. In this work, SOP LAGOON proved to be an effective additive to help the farmers mitigate the contribution of stored liquid manure to global CH₄ emissions, potentially improving the overall sustainability of the dairy industry. Full article

The impacts of shock events frequently cascade beyond the primarily affected sector(s), through the interdependent economic system, and result in higher-order indirect losses in other sectors. This study employed the inoperability input–output model (IIM) and the dynamic IIM (DIIM) to model recovery of sectors after a shock event and quantify associated total losses. Considering data limitations and uncertainties regarding sectoral recovery time, a key variable in DIIM, a probabilistic approach is used for modelling uncertainty in recovery times. The event analyzed is the 2011 oil refinery fire accident in Pulau Bukom (PB) island, Singapore, which caused the refinery to shut down for 11 days and be partially operational for several days thereafter. The impacts are assessed using the regrouped 15-sector Singapore IO data of year 2010, with manufacturing sector as the directly affected sector. The initial economic impact of the PB refinery fire is assessed in the top-down framework using the refinery’s contribution to the manufacturing sector and nation’s GDP. The higher-order losses are quantified considering different recovery paths for the directly affected sector and accounting for its inventory. Simulation experiments using synthetic IO tables are also carried out to understand relationship between recovery characteristics of directly and indirectly affected sectors. The results from IIM analysis show that the indirect losses are about 35–38% of direct losses. The DIIM analysis reveal that the utilities sectors (e.g., electricity, water supply and treatment) suffer the largest inoperability among indirectly affected sectors for a given direct damage to the manufacturing sector. The results also illustrate the dependence of overall losses on the recovery path of the directly affected sector, and associated uncertainties in sectoral recovery times. Full article

The current generation of Zero Emission Vehicle (ZEV) policies are designed to accelerate the transition away from conventional internal combustion engine (ICE) petrol and diesel vehicle fleets. However, the current focus on zero exhaust emissions and the lack of more detailed guidance regarding Non-Exhaust Emissions (NEEs) may mean that some of the trade-offs in transitioning to, e.g., Battery Electric Vehicle (BEV) fleets may be missed by many in the commercial sector. Here, as part of early work on the scoping of the First Bus EURO VI Diesel Vehicle (E6DV) to BEV fleet upgrades, we estimate E6DV total particulate emissions to be ca. 62–85 and 164–213 mg.veh${}^{-1}$.km${}^{-1}$ for $P{M}_{2.5}$ and $P{M}_{10}$, respectively, and that the majority, typically 93–97%, are NEEs. We also discuss the complex interaction between E6DV/BEV properties and estimate potential changes resulting from the transition to BEVs as ranging from a decrease of ca. 2–12% to an increase of ca. 12–50% depending on a combination of weight difference, regenerative brake performance and journey type. Finally, we propose metrics that would allow fleet operators more insight into a wider range of emission outcomes at the scoping stage of a fleet upgrade. Full article

Sand filtration is a low-cost and easy solution for household wastewater treatment in areas lacking a centralized sewage system. However, there are only a few studies about the treatment efficiencies of nutrients and enteric microorganisms and their removal or filter mass reuse potential. Sand columns with different phosphorus adsorbents, gypsum, biotite, and peat were tested in laboratory-scale filters at 4 °C to assess their performance in variable conditions and their possibility to increase the efficiency of sand filters. The columns were fed with real municipal wastewater with variable wastewater flow and phosphate load at different stages of the experiments. Phosphate and total nitrogen concentrations were low in the effluent of all columns, and they were mostly rather similar. Waste gypsum was found to greatly increase the conductivity of the effluent. The numbers of enteric microorganisms in the effluents were low, and the used filter masses achieved good hygienic quality after the tests. Phosphate, ammonium, and nitrate concentrations were low in the used masses, evidently since the columns had operated only for 21–30 weeks. Sand filtration proved to be an effective method for wastewater treatment, but changing conditions should be considered when designing these filters. The masses have reuse potential as soil improvement. Full article

More than 130 lives were lost in the 2021 heavy precipitation and flood event in the Ahr Valley, Germany, where large parts of the valley were destroyed. Afterwards, public funding of about 15 billion Euros has been made available for reconstruction. However, with people and settlements being in highly exposed zones, the core question that is not sufficiently addressed is whether affected people want to rebuild in the same place, or rather opt to move out. The paper explores this question and assesses motivations and reasons for moving or staying in the Ahr Valley. For this purpose, a household survey was conducted focusing on 516 flood-affected households. The collected data was analyzed using descriptive and inferential statistics. The results revealed that the ownership of the house or flat significantly influenced the decision of whether to stay or to leave. In addition, an attachment to the place and the belief that such extreme events occur very rarely influenced the decision to stay and rebuild. Age, gender and household income barely influenced the decision to stay or to move to a new place. Interestingly, results demonstrated that many respondents view settlement retreat and the relocation of critical infrastructures as important options to reduce risk, however, many still rebuild in the same place. These insights enable local policy and practice to better address the needs of the population in terms of whether to stay or move after such an extreme disaster. Full article

Energy efficiency and greenhouse gas reduction have become two of the most important issues to address in fighting climate change. Focused strategies have been implemented aiming at reducing the energy consumption of buildings since it is one of the most energy-intensive sectors, but they are mainly concerned with energy reduction without considering their environmental impact. The present work therefore aims at assessing the energy and environmental impacts of the use of insulation materials for building envelope refurbishment as the thermal coating. Reference buildings were used to perform energy simulations in representative cities of Italy and energy and environmental impacts of the most common and sustainable insulation materials were thus evaluated. Relevant outcomes have been focused on defining a new Economic and Environmental Sustainability Index (EESI) capable of considering both economic and environmental aspects; particularly, sustainable materials (such as cellulose fiber) can have the same affordability as traditional ones (such as polystyrene foam slab, glass wool, or stone wool) if environmental impact is also taken into account, despite their higher cost. However, according to EESI, the affordability of traditional insulation materials remains evident in the warmest climatic zones because of the lower energy needs of buildings. Full article

The Life-cycle Assessment (LCA) method and the Environmental Product Declaration (EPD) each play a crucial role in reducing buildings’ embodied environmental impacts. EPDs provide the validated and geographically representative data necessary to conduct an LCA. However, the development of EPDs in the European context is still irregular. Countries such as Germany and France have many EPDs for construction products, while other countries, such as Spain, have a limited number of EPDs and more than one operator programme, which is pointed out in the literature as a possible limiting factor for comparing results. This study aimed to examine the use of construction product EPDs manufactured in Spain, to then use as a data source to conduct a building LCA. We analysed the comparability of the results among the different EPD programmes and investigated to what extent the use of Spainߣs geographically representative construction product EPDs can contribute to conducting a building LCA, including all the materials and products that compose a building, and covering all the building life-cycle stages (product, construction, use, and end-of-life). The results showed that plasterboard and thermal insulation products have the highest numbers of EPDs in different EPD programmes. The case study analysis showed that 20% of the construction products that compose a building can potentially use these EPDs as a data source to conduct a building LCA, and 89% of those product categories include at least the product, use, or end-of-life stage modules. Finally, recommendations and challenges to improve LCA development in the architecture, engineering, construction, and operation industries were included. Full article

In recent decades, the land use changes induced by various economic activities in agricultural ecosystems have affected many aspects of human life. This is the reason why land use change is considered as one of the agriculture-related environmental impacts in a sustainability assessment of food and bio-based products. At the same time, the methodology applied for the quantification of land use change effects is still under intensive research, stimulating scientific discussions. The overall objective of this paper is to fill the gap in knowledge of responsible and sustainable land use management. Specifically, the research provides a comprehensive set of land use change indicators in the context of land use change and land use efficiency. The indicators can be measured based on publicly available databases with the applicability to agricultural sustainability assessment of land use change on a local, regional and global scale. The high share of artificial land and dominant agricultural use of land with low land use intensity were noted in Belgium, Luxemburg, Netherlands, Slovenia, Cyprus, Croatia, Finland, Germany, and United Kingdom. However, land use efficiency was also low. In turn, heterogeneous land cover (but less artificial areas than in other EU countries) and heterogeneous land uses with diverse land use intensity were noted in Austria, Bulgaria, Denmark, Estonia, France, Hungary, Ireland, Italy, Latvia, Lithuania, Malta, Poland, Portugal, Romania, Slovakia, Spain, and Sweden. The challenge in future research could be aggregation of different indicators in assessing the similarity of land use between countries. Full article

Optimizing planting date by maturity group (PD × MG) is critical to increase productivity and reduce production risks. Understanding the effect of management, not only under current, but also future weather conditions, is even more relevant for developing effective mitigation strategies. This paper provides an analysis of the optimum combinations of soybean PD × MG management in the central-eastern region of Kansas (United States) for both current and future weather conditions. Three geographical clusters illustrating the main environmental and management characteristics were defined within the central-eastern region of Kansas. The Agricultural Production Systems Simulator platform was employed to explore PD × MG combinations (PD from mid-April to mid-July; MG from III to VI) comparing current (2011–2021) and future (2042–2052) weather conditions. Overall, early planting dates produce greater yields, but reduce their stability over time (with a 15% increase in yield variation relative to late planting) across the clusters. Late planting dates resulted in a reduction close to 27% for soybean yields relative to those obtained by planting at early dates under current weather conditions. Furthermore, longer maturity groups (IV, V, and VI) resulted in a reduced yield penalty when planting time was delayed under the current weather conditions. However, this combination did not always represent the strategy that maximized yields. Full article

In the last few decades, criticisms arose in society over sustainability in viticulture, due particularly to environmental and health concerns about pesticide use. The presence of social conflicts is well documented in some renowned wine areas as the Bourgogne in France and the Prosecco in Italy. As a novel contribution, this paper provides empirical insights into winegrowers’ commitment and will and related motivations towards environmental sustainability in the Prosecco Hills area, where social conflicts are well documented around this relevant facet, but little is known on the part of producers. This study aims to explore the pro-environmental behavioral intention of Prosecco winegrowers, focusing on its behavioral determinants, namely knowledge, responsibility, and self-identity. Data collection was held from August to December 2021 through a structured online questionnaire sent to Prosecco winegrowers. We obtained 87 completed questionnaires and data were analyzed through Partial Least Square Structural Equation modeling using SmartPLS software. The results suggest that, on average, winegrowers in our sample show a high pro-environmental behavioral intention. Moreover, the results associate a higher intention to adopt pro-environmental behavior and a higher responsibility towards sustainable viticulture with winegrowers’ having a good knowledge of farming practices beneficial for the environment. Moreover, winegrowers who feel more responsible for acting sustainability towards the environmental in the area and those who view themselves as pro-environmental farmers intend to farm more sustainably. Our results have implications to support the design of locally adapted strategies and policies aimed at improving the diffusion of more sustainable farming practices and resolving local conflicts. Full article

Air pollution severely compromises children’s health and development, causing physical and mental implications. We have explored the use of site-specific green infrastructure (green barriers) in a school playground in Sheffield, UK, as an air-pollution-mitigation measure to improve children’s environment. The study assessed air quality pre-post intervention and compared it with two control sites. Nitrogen dioxide (NO₂) and particulate matter <2.5 µm in size (PM_2.5) concentration change was assessed via three methods: (1) continuous monitoring with fixed devices (de-seasonalised); (2) monthly monitoring with diffusion tubes (spatial analysis); (3) intermittent monitoring with a mobile device at children’s height (spatial analysis). De-seasonalised results indicate a reduction of 13% for NO₂ and of 2% for PM_2.5 in the school playground after two years of plant establishment. Further reductions in NO₂ levels (25%) were observed during an exceptionally low mobility period (first COVID-19 lockdown); this is contrary to PM_2.5 levels, which increased. Additionally, particles captured by a green barrier plant, Hedera helix ‘Woerner’, were observed and analysed using SEM/EDX techniques. Particle elemental analysis suggested natural and potential anthropogenic origins, potentially signalling vehicle traffic. Overall, green barriers are a valid complementary tool to improve school air quality, with quantifiable and significant air pollution changes even in our space-constrained site. Full article

The greenhouse gas (GHG) emission mandate on jet fuel requires a gradual reduction in the fuel’s GHG emissions, up to 50%, by 2050. For this reason, the demand for bio-jet fuel blended with conventional petroleum-derived jet fuel will increase. In order to meet the quality requirement of blended fuels (ASTM D7566), modeling that can predict the correlation between properties is required. Our aim was to predict the low-temperature properties using the distillation profile results obtained from Simulated Distillation (SIMDIS) according to the carbon number and chemical compositions of bio-jet fuel through correlation and regression analysis. We used hydroprocessed ester and fatty acid (HEFA) bio-jet fuel and hydrocarbon reagents that included C₈, C₁₀, and C₁₂ carbons and five main families of hydrocarbons for blended jet fuel. This study shows an overall trend for each component, indicating that the distilled volume fraction is more affected than the carbon number. In the case of the freezing point, by composition, n-paraffin and naphthene have regression coefficients of more than 0.85 for the 50% and 60% recovery temperatures, respectively. In terms of carbon number, the C₈ sample has a significant regression coefficient for the 40% recovery temperature, and C₁₀ has a significant regression coefficient for the initial boiling point (IBP) and 10% recovery temperature. In the case of kinematic viscosity, by composition, the regression coefficient is significant for the 20% to 40% recovery temperatures. For naphthene, the kinematic viscosity exhibited no relationship with carbon number. This information can be utilized to determine the blended ratio of bio-jet fuel and conventional jet fuel in newly certified or commercial applications. Full article

Insect proteins are considered as suitable low environmental impact alternatives to fishmeal for sustainable aquafeeds. Among the different insect species, Hermetia illucens has attracted research and industrial interest due to its ability to grow well on organic side streams, its high protein content and favorable amino acid profiles. Its lipid content although high is characterized by a lack of EPA and DHA that are essential to fish nutrition and thus a defatted form of Hermetia meal might be of better use in fish diets. Hence, two feeding trials were conducted to investigate the effects of the partial fishmeal replacement by increasing levels of a full-fat (up to 276 g/kg) and a defatted (up to 174 g/kg) H. illucens meal on feed intake, growth, feed utilization and nutrient compositions of gilthead seabream (Sparus aurata). Results showed that both the fat content and the inclusion level of H. illucens meal are critical for the success of fishmeal replacement in the diets of S. aurata as they strongly affect feed consumption. A lower palatability of H. illucens meal was observed when included at high dietary levels with the defatted form being more readily accepted by fish. The defatted H. illucens meal is more suitable than the full-fat type to replace fishmeal, with a dietary level of about 81–104 g/kg supporting the highest feed consumption, the highest growth, an unaffected proximate composition and a better feed utilization by S. aurata. Full article

The present study aims to investigate the impact of air pollutants dispersion from traffic emission under the influence of wind velocity and direction considering the seasonal cycle in two major areas of Dhaka city: namely, Tejgaon and Gazipur. Carbon monoxide (CO) mass fraction has been considered as a representative element of traffic-exhausted pollutants, and the distribution of pollutants has been investigated in five different street geometries: namely, single regular and irregular, double regular and irregular, and finally, multiple irregular streets. After the grid independence test confirmation as well as numerical validation, a series of case studies has been presented to analyze the air pollutants dispersion, which mostly exists due to the traffic emission. The popular Reynolds-averaged Navier–Stokes (RANS) approach has been considered, and the finite volume method (FVM) has been applied by ANSYS Fluent^TM. The $k-ϵ$ turbulence model has been integrated from the RANS approach. It was found that the wind velocity as well as wind direction and the fluid flow fields can play a potential role on pollution dispersion in the Dhaka city street canyons and suburbs. Inhabitants residing near the single regular streets are exposed to more traffic emission than those of single irregular streets due to fewer obstacles being created by the buildings. Double regular streets have been found to be a better solution to disperse pollutants, but city dwellers in the east region of double irregular streets are exposed to a greater concentration of pollutants due to the change of wind directions and seasonal cycles. Multiple irregular streets limit the mobility of the pollutants due to the increased number of buildings, yet the inhabitants near the multi-irregular streets are likely to experience approximately $11.25\%$ more pollutants than other dwellers living far from the main street. The key findings of this study will provide insights on improving the urbanization plan where different geometries of streets are present and city dwellers could have less exposure to traffic-exhausted pollutants. The case studies will also provide a template layout to map pollutant exposure to identify the alarming zone and stop incessant building construction within those regions by creating real-time air quality monitoring to safeguard public safety. Full article

Urban pluvial floods are the outcome of the incapacity of drainage systems to convey the runoff generated by intense rainfall events. Cities have been struggling to control such hazards due to several pressures, such as urbanization increase, more frequent experiences of extreme rainfall events, and increases in tide levels. Such pressures demand the study of adaptation strategies, which conventional one-dimensional drainage models fall short of simulating. Thus, 1D/2D models have been emerging with the aim of allowing better integration of key processes for flood modeling, namely, runoff interception by stormwater inlet devices and manhole overflows. The current paper presents a 1D/2D urban flood model based on an offline coupling procedure between the 1D model SWMM and the 2D model MOHID Land. The SWMM/Land model is applied to a synthetic street case study and to a real case study in downtown Albufeira, Portugal. The results obtained for the real case study are coherent with local observations of past flooding events, and the model shows potential for better decision-making regarding urban flood risk management. Full article

Cycling mobility contributes to better livability in cites, helps societies to reduce greenhouse gas emissions and their dependency on fossil fuels, and shows positive health effects. However, unattractive conditions, primarily inadequate infrastructure, hinder the further growth of cycling mobility. As interactions of cyclists with the (built) environment are complex, assessing potential impacts of an intervention aimed at improving physical conditions is not trivial. Despite a growing body of literature on various facets of cycling mobility, assessments are widely limited to a single method and thereby either focus on one detailed aspect or on one perspective. While multi-method and mixed methods studies are emerging, they are not embedded into a structured, integrated framework for assessing systemic effects of interventions yet. Therefore, we propose a conceptual integration of several relevant methods such as questionnaires, interviews, GIS analyses and human sensing. In this paper, we present a generic, extensible framework that offers guidance for developing and implementing case-specific mixed methods designs for multifaceted assessments of interventions. The framework supports domain experts and researchers across different stages of conducting a study. Results from this research further indicate the added value of mixed methods studies compared to single-method approaches. Full article

Citizens are an essential part of the process of smartification and sustainable development of cities as they must adopt, understand and interact with the enabling technologies of digital transformation of societies, cities, and public administration. Therefore, technology acceptance is crucial to creating smart and citizen-centered cities. This is even more challenging in small towns that suffer from an aging population, desertification, lack of infrastructure, and especially the digital divide. The purpose of this research is to investigate the adoption of an Urban Services Technology (UST) in tourism management within a tourism-oriented small town in Southern Italy. A questionnaire was then constructed according to the 12-variable Urban Service Technology Acceptance Model (USTAM), and 216 responses were obtained from a defined group of 1076 subjects. Analyzing the data with a quantitative approach by conducting Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM), the assumptions of the initial model were all rejected and new five factors emerged. The path diagram shows that only the factors Sustainability, Ease and Value have a positive correlation with technology adoption. Future research might investigate the mediating role of socio-demographic variables on technology acceptance by considering geographical and cultural diversity among small towns. Full article

This study aimed to analyze meteorological variables versus hospital admissions for respiratory diseases for the age groups of children under five and the elderly (over 65 years of age) in different climate regions of Brazil, for the years 2018 and 2020, i.e., before and after the outbreak of the COVID-19 pandemic. The aim of the study was, on one hand, to evaluate the influence of weather variables on respiratory disease in humans, and on the other hand, take into account two years with differing dynamics due to a worldwide pandemic that significantly changed people’s lifestyles. The human biometeorological index (Universal Thermal Climate Index, UTCI) was used as representative of the integral association of meteorological variables. UTCI data were obtained from the ERA5-HEAT reanalysis database, which provides hourly grid data with a spatial resolution of 0.25° × 0.25°. The Brazilian cities Manaus, Brasilia and Porto Alegre, which represent different climatic contexts in the country, were used in the analysis. The method compared temperature and climate reanalysis data to hospital admission data for respiratory diseases, obtained from the Brazilian Unified Health System database (DATASUS), according to the International Classification of Diseases, Tenth Edition (ICD-10). Correlation analysis was performed between variables (hospital admissions versus climate-related data) in order to identify associations between them, also accounting for different time-lag effects. We analyzed seasonal influences on the obtained correlations, correlation strength and direct or inverse relationships. Results showed that the pandemic interfered in the association between morbidity due to respiratory illnesses and climate-related variables. Full article

This paper seeks to explore some of the issues to be welcomed but also warned against in general and’ also specified from an illustrative sample of ‘smart’ projects that caused outcomes that were neither ‘smart’ nor ‘resilient’. These give pointers to a ‘thirdspace’ as a descriptor of ‘assemblage’, the most advanced application of sustainability thinking regarding relational spatial development planning. This contribution examines difficulties in delivering both ‘smart’ and ‘resilient’ responses of interest or value to citizens confronted with recurring crises that derive directly or with implications for sustainability issues. Identified are constraints and issues acting as obstacles to governance, management ‘layering’ and ‘learning’ causing failures of many weak or never-delivered projects. Critiques of static, or worse ‘magical’ thinking are increasingly invoked in consequence. In the analysis of ‘live cases’ all these problems showed up ‘in real life’. The author was pleased that his mentor, the late UCLA planning theorist Ed Soja’s application of the idea of ‘Thirdspace’ received prescient vindication from the results of this adjudication. Full article

Measuring the impact of bicycle infrastructure and other mobility improvements has been a challenge in the practice of transportation planning. Transportation planners are increasingly required to conduct complex analyses to provide supporting evidence for proposed plans and communicate well with both decision makers and the public. Cyclists experience two important factors on roads: (a) travel stress related to the built environment along with the traffic conditions and (b) changes in physical burden due to topography. This study develops a method that integrates an energy consumption calculation and “bicycling stress” score to take into account external conditions that influence cyclists substantially. In this method, the level of traffic stress (LTS) is used to select street segments appropriate for different comfort levels among cyclists and is combined with biking energy consumption, in addition to distance, which is used as travel impedance to consider the effects of slopes and street intersections. The integrated Geographic Information System (GIS) analysis methods are used to evaluate bicycle infrastructure improvements in the coming years in Montgomery County, MD, USA. The analysis results demonstrated that the infrastructure improvements in the county’s bike master plan are well-targeted to improve bicycling accessibility. Furthermore, the use of energy as opposed to distance to generate bikeshed areas results in smaller bikesheds compared to distance-generated bikesheds. The method presented herein allows planners to characterize and quantify the impact of bicycle infrastructure and prioritize locations for improvements. Full article

China is urbanizing at an unprecedented rate, but also accelerating the use of water resources and overloading of urban drainage systems. To analyze the impact of urbanization on the drainage-system health in Jinxi, a typical small case area in China, this study proposed an innovative methodological framework for evaluation and prediction based on statistical and modeling methods, which provides a demonstration and reference for urban development and drainage-system construction in developing countries. The result shows that the comprehensive urbanization index (CUI) of Jinxi shows an overall upward trend between 2009 and 2020. The drainage-system health index (DHI) shows a U-shaped trend of decreasing and then increasing, with the threshold in 2016. The years when the DHI and CUI are in balanced development occurred in 2014 and 2018. The impact of urbanization on the drainage-system health is divided into positive and negative aspects, depending on the drainage demands of the urban development. According to the predicted results, it is suggested that the next drainage upgrading measures will be favorable for sustainable urban development when the urbanization rate reaches 60%, the gross industrial output increases by 10%, or the total retail sales of consumer goods increase by 40%. Full article

Island communities and fishing villages in South Korea have been affected by changes in policy and environmental conditions. This paper presents an overview of and potential solutions to sustainability challenges confronting Korea’s island communities and fishing villages. The paper is grounded in a review of the relevant Korean and international research literature. The paper identifies the following major challenges: climate change, overexploitation of and damage to marine resources, and sociocultural challenges. The paper recommends an integrated approach to sustainable development that involves building a cooperative system with the Korea Island Development Institute, focus on ‘livable islands’, encouraging in-migration to islands, improving island accessibility, and identifying and assessing island ecosystem services. The paper concludes that it is necessary to develop an integrated approach driven by institutional, policy, technological, and sociocultural innovation. Full article

The aim of this study is to provide a new quantitative perspective on the geography of well-being using an urban–rural typology and characteristic city size elements in order to detect where people are happier and to examine the determinants of well-being by considering spatial dependence effects. We use 81 NUTS 3 regions and the time period 2012–2019 to analyse the geography of well-being for Turkey with panel and spatial panel models. Our results show that living in an urban area, in general, makes people happy, but that density negatively affects well-being. In addition, city size matters for enhancing well-being. We also analyse the determinants of well-being by using several socio-economic well-being indicators. Next, the aspatial and spatial model results based on spatial econometric regressions show that education, health, employment, and income are all important for well-being, whereas indirect effects (spillovers) of these indicators also exist. Our results indicate that ignoring spatial effects causes a misinterpretation of the effects of critical determinants of well-being in geography. Full article

The beneficial effects of green and blue areas on human wellbeing are significant. Physical activity is a crucial factor for the promotion of good human health and wellbeing, and running constitutes one of the most popular forms of outdoor physical activity. This study examines the effect of six urban “route landscapes” with different landscape characters used for outdoor running on the heart rates and speeds of 30 people wearing a smartwatch while running. These routes included: (1) a running track in a stadium; (2) a road without street trees; (3) a road with street trees; (4) an urban park without sea view; (5) an urban park with sea view; and (6) a road by the sea. Additionally, a questionnaire survey was conducted to determine participants’ perceptions and preferred “route landscape” for running. In the study, higher heart rates were recorded on routes without trees, including the stadium. The lowest heart rate was recorded in the park by the sea, followed by the road by the sea, which were at the lowest altitudes amongst the routes studied. Additionally, the highest mean speed of participants was recorded during the run on the road by the sea. The results also showed that irrespectively of the routes, increases in altitude and gradient caused an increase in the heart rates. In the survey, the majority of respondents stated that they would have felt calm and joy during a run either in a park or in a park by the sea. With rising sea levels dictating not to build, carbon capture being necessary in parks, and trees by roads reducing the heat island effect, this study reveals the best “route landscapes” for runners’ health and global warming. Full article

The ongoing climate change is manifesting itself through the increasing expansion of Urban Heat Island (UHI) effects. This paper evaluates the microclimate benefits due to cool road pavements, greenery, and photovoltaic canopies in a parking lot in Fondi (Italy), identifying the best strategy to counteract the negative effects of UHIs. The ENVI-met software allowed a microclimatic analysis of the examined area in July 2022 through the comparison of the thermal performances between the current asphalt pavement and ten alternative scenarios. The proposed layouts were investigated in terms of air temperature (AT), surface temperature (ST), mean radiant temperature (MRT), and predicted mean vote (PMV). The results showed that the existing asphalt pavement is the worst one, while the cool pavement integrated with vegetation provides appreciable benefits. Compared to the current layout, a new scenario characterized by light porous concrete for carriageable pavements and sidewalks, concrete grass grid pavers for parking stalls, a 2-m-high border hedge, and 15-m-high trees implies reductions of AT above 3 °C, ST above 30 °C, MRT above 20 °C, and a maximum PMV value equal to 2.2. Full article

E-scooter sharing services been grown exponentially within the last five years. They are based on the flexibility of accessing dense urban areas without specialized infrastructure. In modern cities, there are diverse road environments that impact the comfort, and therefore the attractiveness, of micro-mobility services. This study aims to investigate the willingness to use e-scooter sharing services, while considering the road environment. To formulate area-specific pricing policies, a stated preferences experiment with 243 respondents, who can be considered as potential users, is conducted in Athens, Greece and a binary logistic regression model with random beta parameters is developed. The analysis of the model marginal effects indicates that the integration of bonus points into micro-mobility services, combined with the option of transferring these points to parking services, can compensate a non-friendly road environment, thus increasing the service demand. The existence of roads with good pavement conditions and wide sidewalks significantly increased the willingness of respondents to use e-scooter sharing services. Unexpectedly, pedestrianized zones in a buffer area of 2 km radius from the trip origin reinforce the attractiveness of shared e-scooters, while the contribution of bike lanes and traffic calming streets (or shared space) were proven to be insignificant. Full article

Along with a series of reforms of the household registration, or the hukou system, there has been a sustained call for its reforms to further integrate rural migrants into cities and sustain the national strategy of urbanization. Nevertheless, does hukou still matter? Is it still a major obstacle to the inclusive development of post-reform urban China? Recently, the effect of the hukou system and its reforms has become a debatable topic. To address the question, in this article, we examine the “luohu” of rural migrants, i.e., rural people who work and/or live in the city obtaining urban hukou, to evaluate the effects of hukou reforms. We argue, along with the improvement of China’s social security system in both urban and rural areas, as well as the increased rights of rural migrants in cities, that the gap between the “value” of urban and rural hukou is decreasing: the boundaries set between urban and rural territories have been diminished; meanwhile, the intentions of rural migrants to luohu in the city have declined. This dilemma indicates that the impact of hukou system per se is fading, which is closely linked to the reforms of other social policies such as welfare and pension systems. As such, to promote the integration of rural migrants in Chinese cities, the focus of China’s hukou reforms should shift from the registration system to more inclusive social policies. Full article

This study attempted to classify blocks in the second ring road of Changsha, a central city of urban agglomeration in central China, according to their green space patterns, and to explore the influence of green spaces in different blocks on the surrounding microclimate. Researchers divided the blocks into five types: green space enclosed by buildings type, green space parallel with buildings type, green space centralized in buildings type, green space interspersed in the block type, and green space dispersed in the block type. Thermal comfort conditions in the different blocks were studied by ENVI-met simulations and using the thermal comfort indicators physiological equivalent temperature (PET), predicted mean vote (PMV), and standard effective temperature (SET). Because the green space was more evenly distributed in the block of green space parallel type and green space interspersed type, the overall fluctuation of the thermal comfort value of all areas of the whole block was small, with more areas having a value close to the median value of the thermal comfort value of the block. In the green enclosed blocks, thermal comfort was better within the green space in the area enclosed in the middle when the surrounding buildings were lower. The green areas in the green space enclosure type significantly improved the thermal comfort around the buildings, and the thermal comfort in the areas decreased rapidly as the distance between the green areas and the buildings increased. The green space dispersion type was found more in older blocks that were not well planned and had poor thermal comfort in the areas. On the premise that the green space area in the different high-rise blocks was equal, if only the thermal comfort of the green space coverage area was considered, in the summer, the green space parallel type was the best (|ΔPET| = 7.96, |ΔPMV| = 1.22). In the winter, the green space centralized type was the best (|ΔPET| = 11.26, |ΔSET| = 10.88). On the premise of equal green space area in the different multilayer blocks, if only the thermal comfort of green space coverage area was considered, in the summer, the green space parallel type was the best (|ΔPET| = 8.89, |ΔPMV| = 1.49). In the winter, the green space centralized type (|ΔPET| = 11.04, |ΔSET| = 10.64) was the best. This shows that different greening patterns have different advantages and disadvantages in different seasons and different situations. Full article

The contributions of the access and egress portions of public transport trips to overall travel satisfaction merit more attention. This study collected responses from intercepted regular urban rail travelers at three metro stations with distinct built-form and land-use characteristics. Local conditions of access on foot, by bicycle, or on a bus were evaluated retrospectively on a five-point satisfaction scale and compared with an independent survey of the same access routes. Three-factor theory and dummy variable regression methods were used to identify the factor structure of environmental attributes under different access means. In the results, access and egress satisfaction were more important than metro trip satisfaction in overall trip satisfaction for walking and cycling modes. Access distance was not significant for walking and marginally negative for cycling satisfaction. For pedestrians, street connectivity, pathway directness, shade, greenery, and crossing safety were all significant (p < 0.05), explaining 51% of the variance in expressed satisfaction. For bicyclists, directness, distance, service, and parking facilities were significant in satisfaction, accounting for 62% of variance. In the bus access model, we found that bus stop location is very important, with passengers also very concerned about the walk experience to the bus stop. Satisfaction with access and egress environments is important in overall satisfaction with travel by public transport. Full article

Within the smart city debate, this paper aims to reflect on whether and how medium-sized Italian cities are organizing their smart transition technically as well as administratively. The smart city concept was developed in the 1990s when major European cities began a smart transition through widespread urban regeneration projects and the introduction of advanced technologies applied not only to the physical city but also to governance, policymaking, and communication, involving multiple sectors of city administrations. In the last decade, medium-sized cities have also started this transition process, although with lower emphasis than metropolitan cities. In most medium-sized Italian cities, this transition, in accordance with national and regional guidelines, has sometimes led to competencies reorganization within local governments. Within this framework, the paper examines the tools with which medium-sized Italian cities’ administrations address the smart transformation in their territories, comparing a sample of 10 cities in Emilia-Romagna and considering policymaking, governance structure, past and current projects, and communication transparency. The expected result is therefore a systematic review of experiences to reconstruct a complex picture of the political and administrative choices that have led to the implementation or setting in motion of smart transformation processes to draw some useful lessons. Full article

The following paper examines urban and territorial planning in Italy, where decision-making is entrusted almost exclusively to the almost 8000 small municipalities present in the country. Plans for and the transformation of built-up areas, infrastructure and social services of all types, and serving all purposes in a national territory of more than 300,000 square kilometers, are controlled by a multitude of Mayors, Boards and Municipal Councils that govern plots of land consisting of polygons of a few kilometers per side. This is generally achieved using urban planning tools developed without any general rule or protocol. Often, most of their content is even ignored as a result of national legislation that weakens them, making them largely irrelevant. This is a European example of urban mismanagement that should be brought to the wider attention of the European technical–scientific community because the debate developed so far on this topic—even by eminent and authoritative urban planners—has been almost entirely published in Italian only. Public and political attention around the issue is still extremely limited, although the serious effects of this “molecular planning” are beginning to be perceived: unjustified overurbanization and very disorganized, extremely energy-intensive and ecosystemically destructive urban layouts that are completely at odds with the public interests of environmental and urban quality. In the following paper, we make some comparisons with other European countries and outline some possible directions—certainly very difficult to follow—to rethink and remedy these negative effects. Full article

The paper provides new evidence on the relationship among per capita incomes, local expenditures and territorial economic structure in Italian inner areas. The study area comprises the municipalities belonging to three Italian regions, namely, Marche, Abruzzo and Molise. The methodology employed involves a panel multilevel regression model, in order to investigate both on territorial and time changes. The period under analysis covers 2008–2016, the years following the outbreak of the global crisis. The results highlight the importance of three public expenditure categories—Environment protection and planning, Tourism, and Cultural heritage—on the growth of per capita incomes. Regional economic structure also plays an important role, especially through the rate of employees in the industrial sector. In order to increase the effectiveness of local public policies, a re-allocation of global expenditures among its various components might be recommended. Another suggestion concerns the implementation of integrated policies oriented both to tourism and to the enhancement of territorial assets. Full article

The main tool for biodiversity conservation at the European level is the Natura 2000 network. The identification of Natura 2000 as an “ecological network spread over the entire European Union territory” is the symbolic image launched by the Habitat Directive (92/43/EEC) even though many considerations focused on the contradiction between the shared model of the ecological network—based on spatial continuity—and the fragmented geographical configuration of the Natura 2000 sites. Currently, it stretches across all 28 European countries, both on land and at sea, and it is made up of over 27,000 sites for a total extension of approximately 1,150,000 km². The land area covered by N2000 corresponds to approximately 18% of the total EU, with the national coverage ratio ranging from a minimum of 9% to a maximum of 38% in the various European countries. The aim of this study was to determine the degree of landscape fragmentation caused by the urban areas towards the Natura 2000 network, with the aim of analyzing how the current urban settlements’ geography could compromise their functionality. The proximity analysis carried out provides the necessary information to achieve full efficiency in the connections between the different habitats. In addition, these results give indications on which planning scale is most appropriate to intervene to reduce environmental fragmentation. Full article

The increasing need to reduce emissions and the environmental impact of urban areas to meet European decarbonisation goals motivates the selection of the Rimini Canal Port as a case study within the FRAMESPORT project, part of the European Interreg Italy–Croatia programme. A preliminary historical–documental and urban regulations analysis of the context allowed the identification of the main criticalities and potentials through a SWOT analysis. The central role of the stakeholders enabled the creation of a successful participatory co-design process developed through online surveys. Critical issues that emerged during the data collection phase were prioritised through a BOCR model, a powerful multi-criteria analysis tool. The project phase then focused on the resolution of the two main critical issues that emerged: the improvement of cycle/pedestrian paths, and the raising of the flooding docks in the Canal Port area. This article intends to demonstrate the strong influence of soft mobility in urban regeneration projects, and how an improvement of the quality of cycle/pedestrian paths can increase the quality of urban spaces. The new paths create a green infrastructure that contributes to a reduction in pollutant emissions through the promotion of sustainable mobility systems and an increase in green urban spaces. Full article

Singapore intends to become a “Smart Nation” through the use of smarter technologies and sustainable means to enhance the quality of life of its inhabitants. Universities are also increasingly seen as places of innovation of new smart and sustainable technologies, provincializing ideas and debates; serving as a testbed for local experimentation. Hence, to determine the status of developing Singapore universities as smart and sustainable campuses, this paper first discusses the role of Singapore’s Smart Nation initiative in relation to the development of smart and sustainable universities in Singapore. In particular, NTU’s development as a smart and sustainable campus. Secondly, a conceptual framework is developed to assess NTU as a smart and sustainable campus by understanding the prevailing dimensions of the smart city discourse. Through a detailed survey and ethnographic field study method conducted on NTU Campus, the study finds that the university has been rapidly deploying smart technologies to enhance students’ learning environment and university residents’ everyday quality of living through technology and sustainability initiatives. This paper contributes meaningfully to the development of smart campuses worldwide and brings an Asian university perspective to the existing research on smart and sustainable campuses. Full article

The productivity, health, and well-being of office workers are known to be influenced by the indoor thermal conditions, most significantly the temperature and air humidity. This article is based on measurements and calculated predictions, as well as surveys of the employees in a newly renovated office building in Vienna, Austria. The renovation measures include street-side facade greening. The aim of this study was to determine the possible effects these renovation measures have on thermal comfort inside the building. The evaluation is carried out in accordance with the standards based on the predicted mean vote (PMV), calculated with the collected measurement data. Based on the survey, the calculation results are compared with the subjective perception of the employees. Even though the measurements and the survey were carried out only one year after the renovation, about 70% of the employees’ statements speak about noticeable positive changes due to the renovation measures. Regarding daylight and artificial lighting conditions, a total of 80% of employees are neutral or satisfied. The majority also expresses neutrality or satisfaction regarding spatial conditions and air quality. The satisfaction of the employees is reflected in their work performance. The goal is therefore to achieve the highest possible satisfaction of the building’s users. Full article

Housing quality is a well-established determinant for health and its relevance has been increasing in the context of sustainable development. Prior research has emphasized the importance of adequate housing for the health and comfort of householders. However, this link is still poorly characterized and understood regarding the vulnerable segments of the population. In this study, a mediation analysis is proposed to test and identify the role of energy affordability in the relationship between poor housing and health status. It resorts to microdata from the European Union—Statistics on Income and Living Conditions (EU-SILC) database, focusing on the analysis of Portugal as the case study. Research findings confirm the role of energy affordability as a mediator. The research findings supported the energy efficiency as a direct pathway with protective and preventive effect for poor health, followed by energy affordability as a mediated or indirect pathway. A complementary approach that addresses energy efficiency and energy poverty should be pursued to maximize health risk reduction. Full article

The COVID-19 pandemic has caused an abrupt break in economic, demographic and social dynamics, both in developing countries and advanced economies, perhaps with a more significant impact in the latter, though further evidence is needed to support this assumption. Unfortunately, earlier research on medium- and long-term impacts of the pandemic on urban and regional systems—with particular reference to the demographic dimension—have not yet reached a consensus on methodological and operational approaches. In the present study, we have applied an interpretative framework to the analysis of the demographic balance in Italy, one of the most affected countries in the world, before and during the COVID-19 pandemic. Specifically, we have compared a wide set of demographic indicators at two time periods of equal duration (2002–2010 and 2011–2019) and in two subsequent years (2020 and 2021), controlling for the regional context. These periods were chosen as sufficiently long to be representative of differentiated economic dynamics (2002–2010: economic expansion and demographic recovery; 2011–2019: recession and consequent demographic decline). Years 2020 and 2021 were assumed to reflect the short- and medium-term impact of the COVID-19 pandemic. The results of the statistical analysis highlight how the COVID-19 pandemic has exerted considerable pressure on population dynamics, determining short-term (mortality increase), medium-term (more volatile migration flows) and long-term (fertility decline) effects. Future studies should clarify the aggregate role of pandemics in population dynamics as a possible proxy of the decline of demographically fragile regions in advanced economies. Full article

The resolution of complex medical diagnoses using pattern recognition requires an artificial neural network-based expert system to automate autoimmune disease diagnosis in blood samples. This process is done using image-based computer-aided diagnosis (CAD) to reduce errors in the diagnosis process. This paper describes a Multistage Classification Scheme (MSCS), which uses antinuclear antibody (ANA) tests to identify and classify the existence of autoantibodies in the blood serum that bind to antigens found in the nuclei of mammalian cells. The MSCS classified HEp-2 cells into three stages by using Binary Tree (BT), Artificial Neural Network (ANN), and Support Vector Machine (SVM) as basic blocks. The Indirect Immunofluorescence (IIF) technique is used in the ANA test with Human Epithelial type-2 (HEp-2) cells as substrates. The efficiency of the proposed methodology is assessed using the dataset of ICPR 2016. The intermediate cells (IMC) and positive cells (PC) were separated in Stage 1 prior to preprocessing based on their total strength, and special preprocessing is applied to intermediate cells for improved output, and positive cells are subjected to mild preprocessing. The mean class accuracy (MCA) was 84.9% for intermediate cells and 95.8% for positive cells, although the carefully picked 24 features and SVM classifier were applied. ANN showed better performance by adjusting the weights using the SCGBP algorithm. So, the MCA is 88.4% and 97.1% for intermediate and positive cells, respectively. BT had an MCA of 95.3% for intermediate and 98.6% for positive. In Stage 2, the meta learners BT2, ANN2, and SVM2 were trained for an augmented feature set (24 + 3 results from base learners). Therefore, the performance of BT2, ANN2, and SV M2 was increased by 1.8%, 4.5%, and 4.1% as compared to Stage 1. In Stage 3, the final prediction was performed by majority voting among the results of the three meta learners to achieve 99.1% MCA. The proposed algorithm can be embedded into a CAD framework built for the ANA examination. The proposed model will improve operational efficiency, decrease medical expenses, expand accessibility to healthcare, and improve patient safety in the sector, enabling enterprises to lower unplanned downtime, develop new products or services, increase operational effectiveness, and enhance risk management. Full article

The ideas of the sharing economy have facilitated innovative business applications, such as Uber and Airbnb. As an example of a sharing economy application, ridesharing services take advantage of underutilized resources to create economic value. However, the unruly design of ridesharing systems may make urban traffic more congested and cause other technology-organization-environment issues. This study explores the application of blockchain and smart contract technologies to enhance ridesharing services by harvesting the blockchain benefits of transaction traceability, process transparency, system automation and disintermediation. After presenting system design and implementation details for building and deploying a blockchain-based system to support the reengineered ridesharing service with required business functions, we conduct functionality/performance tests and theory-based comparative analysis to confirm its feasibility and applicability. The results reveal that our system with blockchain-enabled benefits is superior to incumbent ridesharing systems. Moreover, while prior research rarely reports the design and implementation details of blockchain-based systems to support sharing economy services, this paper primarily contributes to extant literature by not only proposing a layered system architecture adapting blockchain and smart contracts into the desired ridesharing service but also demonstrating the design and implementation details, covering the development tools, the deployment environment and the deployed smart contracts. Full article

Rapid construction and development activities in large urban areas have significantly impacted land use and land cover (LULC). They have brought great pressure to urban sustainable development. Current studies have shown that changes in LULC structure significantly affect regional ecosystem service functions but lack the sufficient scientific basis to provide reasonable strategies for the future development of urban areas. Based on land use and related data for the Wuhan metropolitan area (WMA) in 2000, 2010, and 2020, in this study, we construct a land use and ecosystem service value (ESV) simulation method based on a coupled PLUS-GMOP (patch generation land use simulation and grey multi-objective optimization) model and find that the changes in LULC structure from 2000 to 2020 are mainly reflected in the decrease in farmland and water area and the increase in built-up land, which are spatially reflected in Wuhan city center and other surrounding urban centers. The ESV also exhibits a slight increase and then a significant decrease, and a consistent overall pattern of high in the west and low in the east. By presupposing three scenarios for 2030 (ND, natural development; EFD, ecological first development; EECD, ecological and economic coordinated development), the analysis shows that although the ecological service value is still decreasing, the EECD scenario achieves a relatively high economic value (+90.134 billion yuan) by losing less ecological service value (0.27 million yuan) than EFD, which is the development model advocated in this study. The PLUS-GMOP coupling model proposed in this study provides a scientific reference for coordinating regional economic development and ecological protection in large cities, and provides a new technical path for metropolitan area sustainable development and planning. Full article

More than 59 million people reside in the six member countries of the Gulf Cooperation Council (GCC) (the United Arab Emirates, Bahrain, Kuwait, Oman, Qatar, and Saudi Arabia). The rate of urbanization is more than 80% in each of these countries. To better understand the trends and knowledge structures and to aid policy design and implementation, more research is needed on the topic of urbanization in GCC countries. In order to address this knowledge gap, bibliometric analysis and scientific mapping procedures utilizing VOSviewer were employed. A total of 415 academic papers covering four decades, from 1980 to 2021, were collected from the Web of Science database and split into three time periods: 1980–2017, 2018–2019, and 2020–2021. The findings indicate that the topics related to sustainable development, environmental regulations, renewable energy, and smart cities have received the most attention. In addition, land use planning, urban growth, and energy consumption have been dominant themes over different periods. Several intertwined factors have contributed to the evolution of research over these periods. These include the widespread diffusion of the sustainability agenda, the rise of advanced ICT, and the escalating rate of urbanization. It can also be explained by the fact that the world has been grappling with numerous environmental challenges, increasingly requiring innovative solutions for sustainability. The findings of this study can be used to develop better strategies for sustainable urban development in the region. Full article

Decarbonisation in the construction sector, consisting of a process based on the abandonment of fossil resources and the achievement of greater resource efficiency, is increasing in both new construction and renovation. The concept of circularity is seen as a strategy to reach this goal. The direct environmental impact of building designs can be quantitatively evaluated by assessing total mass, embodied energy, and embodied CO₂ in combination with circularity criteria, such as design for disassembly, materials and product origin, as well as recovering potential. This paper presents a method for easily assessing these parameters, thus obtaining a Building Circularity Indicator. To validate the method, its application in a pilot case of a manor villa located in Argelato (Bologna, Italy) is provided in the framework of the European Horizon 2020 project “DRIVE 0—Driving decarbonization of the EU building stock by enhancing a consumer-centred and locally based circular renovation process”. The deep renovation intervention developed is aimed at increasing energy performance by pursuing a circular approach that has rarely been tackled in protected heritage. Furthermore, the benefits of a circular versus a linear strategy are demonstrated through an LCA as well as LCC analyses assessing the environmental and economic impact of the intervention. The research results validate the proposed method as a tool to support operators in the construction sector. Full article

Recent history has been marked by a shift from rural to urban living. Studies show that urbanization is most prevalent at coastal areas and river basins and these are the locations where most megacities are established. However, in the African context, there is a deficit of research in this area. The focus of studies in the ‘urban’ field show the expansion of cities towards waterbodies but with little or no attention to the implications of this expansion—‘the rural to urban shift’—particularly as they concern lakes as commons in a rapidly urbanizing world, such as African countries and the Global South. Thus, using the case of lakes in Ethiopia, this study explores the trend of urbanization vis-à-vis lakes and its implications for the management of lakes, where historically the Ethiopian urban system has been characterized by settlements on mountain areas as strategic places located far from water bodies, particularly lakes. Using secondary data on population of urban centers and distribution of lakes in Ethiopia, this paper finds that urban centers that are located adjacent to lakes have been growing faster than those cities and towns that are not. The study argues that lakes are an attraction factor for urbanization. Moreover, rapid urban expansion around lakes implies that, in the future, the management of lakes (as common pool resources) critically depends on how urban centers are planned and managed. Full article

Industrial migration is a hot topic in economic geography. This study traces the migratory process of key high-tech enterprises in Beijing during 2008–2016, revealing the migratory characteristics and patterns of high-tech enterprises within the metropolitan area by using spatial analysis methods and mathematical statistics. The results show that: (1) Migrating enterprises are mainly mixed-ownership and foreign-funded or privately-owned enterprises. Medium-sized enterprises are more likely to relocate than small and large enterprises, especially in lucrative sectors. (2) The migration of high-tech enterprises is mainly based on proximity migration. More than 77.19% of enterprises tend to move to agglomerations or agglomeration expansion areas such as Jiuxianqiao and the Beijing Economic-Technological Development Area (BDA) in Daxing District. In addition, 33 enterprises experience varying degrees of scale expansion after relocation. (3) Most high-tech manufacturing enterprises are in the growth stage of their life cycle. They initially relocate between 7 and 16 years after their establishment, which means that there is roughly a 7-year adaptation or development period for firms within a region after their establishment. During the adaptation period, companies do not tend to relocate; afterwards, as they grow, they need to find other spaces in which to do so. For reasons such as familiarity with the environment, enterprises give priority to finding new locations within the agglomeration and the surrounding area. These results deepen the understanding of the temporal and spatial characteristics of the migration of enterprises within the city from the microscopic perspective and provide a scientific basis for the optimization of industrial space in a metropolis. Full article

Urban open spaces (UOS) provide an everyday environment for residents to experience nature. However, the management of UOS—from zoning to construction and maintenance—tends to follow efficient and straight-forward processes lacking use of residents’ experiences. This study first collected the views of management professionals on how participation can best benefit management of UOS. Second, a survey used biodiversity as a case to clarify how the ongoing changes in urban biotopes challenge conventional management of UOS. The results showed that especially in the maintenance phase of current UOS management there is potential to further involve residents in a continuous dialogue and activities to account for local perceptions, including residents’ sensing and emotions raised by UOS. Such involvement may facilitate positive human-nature relations but may require new modes of interaction. We thus propose such adaptive management to foster residents’ contribution to sustainability transition. Full article