Search Results (135)

Solar energy plays a fundamental role in achieving decarbonization in the construction sector, and therefore, a detailed assessment of solar potential at the urban scale is a key tool in supporting this process. Within this framework, the present study focuses on the high-resolution evaluation of photovoltaic (PV) potential in urban environments, specifically targeting the city of Milan, Italy, where two representative study areas are selected. In detail, 3D city models are developed using Rhino3D 7 software, and a solar radiation analysis was performed using Ladybug components. The solar radiation received by the surfaces that comprise the roofs and facades of buildings is estimated for each floor and orientation, taking into account local climate conditions and shadows cast by surrounding buildings. To define the economic viability of PV system deployment, two threshold criteria were introduced: one concerning the size (area) of the PV system and the other the minimum annual solar radiation level that each surface receives. Based on the obtained data, it is found that approximately 28% of roof surfaces and 5% of facades meet these cost-effective thresholds for PV integration. Further analysis indicates that the balcony self-shading can be considered negligible in the high-density urban context analyzed. The results are beneficial for urban energy management, considering energy savings and investment approaches, and the possibility to transform existing buildings into zero-carbon buildings powered by renewables. Full article

Urban freight and service operations represent a critical challenge for cities, contributing to greenhouse gas emissions, congestion, and competition for curb space. In addition to parcel deliveries, many service trips combine transport with installation, maintenance, or packaging recovery, generating long vehicle dwell times and inefficient use of public space. This paper investigates alternative operational scenarios for such activities, evaluating technological and organizational options that can reduce their environmental and spatial impacts. The study compares a diesel LCV baseline with four zero-emission configurations: battery electric LCVs; battery electric LCVs integrated with micro-hubs and cargo e-bikes; hydrogen fuel cell LCVs for long-range operations, and hydrogen fuel cell LCVs combined with cargo e-bikes via micro-hubs. The methodological framework is based on a vehicle routing problem (VRP) formulation supported by empirical data from Rome. It integrates indicators of energy use, carbon emissions, and curb-side occupation, and it includes the spatial representation of routes on urban and inter-urban maps to highlight operational differences across the five scenarios. Results indicate that zero-emission vehicles can eliminate tailpipe emissions, while logistics reorganization through decoupling improves the use of public space and enables the recovery of packaging materials. Battery solutions appear best suited to short and medium distances, whereas hydrogen is advantageous for longer routes. Overall, the study shows that combining technological and organizational measures provides a robust pathway toward sustainable logistics and more efficient service operations in metropolitan contexts. Full article

Urban green infrastructure is increasingly recognized as a core component of urban sustainability, providing regulating ecosystem services (ES) that support climate resilience, environmental quality, and long-term urban livability. However, empirical evidence on the long-term stability of ecosystem services (ES) in rapidly urbanizing cities remains limited. Despite widespread assumptions that urbanization inevitably leads to irreversible ecological decline, few studies have quantitatively examined whether ES can persist, or even recover, over multi-decadal time horizons relevant to sustainable urban development. This study investigates the long-term trajectories of eight urban ES in Seoul, South Korea, across nearly five decades (1978–2025) and eight congressional districts, providing one of the longest temporal assessments of urban ES in East Asia. Using i-Tree Canopy and high-resolution aerial imagery across four benchmark years (1978, 1989, 2010, 2025), this study quantified standardized indicators for carbon sequestration (CSeq), avoided runoff (AVRO), and removal of six atmospheric pollutants (O₃, NO₂, SO₂, CO, PM₁₀, PM_2.5). Paired-sample t-tests and Cohen’s dz (effect size) were used to assess within-district temporal shifts and the magnitude of ecological change. Results reveal a pronounced period of early ecological stress during rapid industrialization (1978–1989), with negative standardized effect sizes across all services (dz between −0.65 and −0.72). However, these early losses were not sustained. Structural services such as CSeq and AVRO exhibited long-term functional stability, with effect sizes converging toward zero and the 1978–2025 change in CSeq showing no statistical difference (p = 0.784). Pollutant removal services followed an early-decline–followed-by-recovery trajectory, exemplified by CO removal shifting from a large early decline (dz = −0.72) to a modest positive effect in later decades dz = 0.31). These findings indicate that Seoul’s sustained urban greening and environmental policies were effective in preventing further deterioration and maintaining core ecological functions, even if they produced stabilization rather than significant long-term gains in ES delivery. Full article

The need to mitigate climate change has increased interest in Waste-to-Energy (WtE) plants, which reduce landfill use while generating power, but remain significant sources of carbon dioxide emissions. Carbon Capture, Utilization, and Storage (CCUS) represents a promising pathway to substantially reduce emissions from WtE facilities and, when applied to WtE, it can enable net-zero or carbon-negative systems by capturing both non-biogenic and biogenic CO₂. This review systematically analyzes existing Waste-to-Energy plants implementing carbon capture technologies. By collecting and critically assessing the available technical and operational information, this work provides a comprehensive synthesis that is currently lacking in the literature. Based on the reported data, only a limited number of WtE plants with CCUS are operating worldwide. Among these, facilities with the most detailed publicly available information are located in Saga City (Japan), Twence (The Netherlands), Klemetsrud (Norway), Duiven (The Netherlands), and Copenhagen (Denmark). This review highlights the current deployment status of WtE + CCUS systems and identifies key insights to support future research and large-scale implementation. Full article

This study examines the role of Low and Zero Emission Zones (LEZ/ZEZ) as urban climate-governance instruments in Latin American cities, using Rio de Janeiro as a case study. The objective is to assess the feasibility and institutional readiness for implementing a LEZ/ZEZ in the city’s central area, taking into account its regulatory framework, urban context, and transport- and emissions-related conditions. The methodology adopts an exploratory, qualitative approach based on the ASIF (Activity-Structure-Intensity-Fuel) framework, combined with a systematic review of municipal legislation, climate action plans, emissions inventories, and international best practices. Rather than developing a mathematical or predictive model, the study organizes these policy and institutional elements into a structured decision-support framework and proposes a roadmap to guide phased implementation. The results show that Rio de Janeiro possesses a favorable legal and policy environment for LEZ/ZEZ deployment, particularly through its Climate Action Plan and the legally established District of Low Emissions, while also identifying constraints related to data availability, monitoring capacity, and inter-institutional coordination. The study concludes that the proposed framework provides a practical governance-oriented tool to support low-carbon urban transitions, whose operational effectiveness will depend on future quantitative data collection, transport-demand simulation, and stakeholder engagement to strengthen evidence-based decision-making. Full article

The growing demand for low-carbon, resource-efficient, and multifunctional construction materials has intensified interest in solutions that can support both circular economy strategies and sustainable urban development. Expanded perlite—a lightweight volcanic material with low embodied energy and multiple functional properties—is increasingly considered a potential component of circular and nature-based material systems. This paper critically examines whether expanded perlite can serve as a sustainable alternative in civil engineering applications, contributing to reduced material consumption, improved thermal performance, and lower environmental impact across the life cycle. The review provides an overview of current applications of expanded perlite in lightweight concretes, insulation systems, green roofs, water-retention substrates, and other technologies relevant to resilient and net-zero cities. It also identifies key research gaps related to long-term durability, large-scale implementation, and life-cycle assessment, while emphasizing the need for proper handling procedures due to health concerns associated with dust exposure. By situating expanded perlite within the context of circular design and low-carbon construction, the paper highlights its potential role in decarbonizing the built environment and advancing the transition toward climate-resilient and regenerative urban systems. Full article

In the face of accelerating climate change and urbanization, sustainable mobility infrastructure plays a critical role in reducing greenhouse gas emissions. This article assesses the Sunglider concept—an elevated, solar-powered transport system—through the New European Bauhaus (NEB) Compass, which emphasizes sustainability, inclusion, and esthetic value. Designed by architect Peter Kuczia and collaborators, Sunglider combines photovoltaic energy generation with modular, parametrically designed wooden pylons to form a lightweight, climate-positive mobility solution. The study evaluates the system’s technological feasibility, environmental performance, and urban integration potential, drawing on existing design documentation and simulation-based estimates. While Sunglider demonstrates strong alignment with NEB principles, including zero-emission operation and material circularity, its implementation is challenged by high initial investment, political and planning complexities, and integration into dense urban environments. Mitigation strategies—such as adaptive routing, visual screening, and universal station access—are proposed to address concerns around privacy, esthetics, and accessibility. The article positions Sunglider as a scalable and replicable model for mid-sized European cities, capable of advancing inclusive, carbon-neutral mobility while enhancing the urban experience. It concludes with policy and research recommendations, highlighting the importance of embedding infrastructure innovation within broader ecological and cultural transitions. Full article

The accelerating global transition to electric mobility demands data-driven infrastructure planning that balances technical, economic, and spatial considerations. This study develops a scenario-based demand and economic modeling framework to estimate electric vehicle (EV) charging infrastructure needs across Abu Dhabi’s urban and rural regions through 2050. Two adoption pathways, Progressive and Thriving, were constructed to capture contrasting policy and technological trajectories consistent with the UAE’s Net Zero 2050 targets. The model integrates regional travel behavior, energy consumption (0.23–0.26 kWh/km), and differentiated charging patterns to project EV penetration, charging demand, and economic feasibility. Results indicate that EV stocks may reach 750,000 (Progressive) and 1.1 million (Thriving) by 2050. The Thriving scenario, while demanding greater capital investment (≈108 million AED), yields higher utilization, improved spatial equity (Gini = 0.27), and stronger long-term returns compared to the Progressive case. Only 17.6% of communities currently meet infrastructure readiness thresholds, emphasizing the need for coordinated grid expansion and equitable deployment strategies. Findings provide a quantitative basis for balancing economic efficiency, spatial equity, and policy ambition in the design of sustainable EV charging networks for emerging low-carbon cities. Full article

Eco-cities have become global initiatives in recent years. This paper aims to discuss the construction, evolution and future of eco-city movements in China, especially in areas with abundant ecological resources. Extant literature emphasizes that sustainable development is the purpose of an eco-city. However, in the spatial practice of ecological modernization, many European and American countries develop ecological construction at a slower pace, resulting in sustainable ecological outcomes. Those countries developed ecological practices at a smaller scale, aiming to achieve green towns with zero carbon emission. In contrast, the construction of China’s eco-cities typically involves building new cities in outer suburbs with a larger scale and faster speed. This has led to the rapid construction of so-called ecological cities without sustainable development. In this context, this paper starts from the perspective of political economy and conducts qualitative research on the Shanghai Dongtan Eco-city as a case study. It analyzes the motivation and practical measures of different actors by examining the planning, design and construction process of Dongtan Eco-city during 1998–2024. The results suggest that gaining national political priority through the intervention of international actors and foreign investment is the key to the local pilot ecological city project. This paper further analyzes the differences between the planning concept and the actual practice of Dongtan Eco-city, critically discussing the “Eco-city as the enclave of ecological technology.” This is driven by the integration of eco-city construction and the local government performance appraisal system. Consequently, the pursuit of economic returns redirected Dongtan’s sustainability experiment into a form of green-branded retirement real-estate development between 1998 and 2012. From 2012 to 2024, Chongming’s development model continued to evolve, as the project was reframed from a real-estate-led eco-city paradigm toward an “ecological island” agenda articulated in the language of sustainable development. Full article

This study explores the digital transformation and public value created through the target city’s smart city Mobile Payment APP and digital city token system within the context of sustainable governance in Taiwan. Adopting a convergent mixed-methods research design, this research integrates quantitative Importance–Performance Analysis (IPA) surveys of 632 users with qualitative in-depth semi-structured interviews involving eight key stakeholders (namely, government officials, system developers, affiliated merchants, and citizen representatives). This methodology assesses service quality, user satisfaction, and cross-sector collaboration effects. The findings reveal that the mobile payment platform significantly enhances digital service delivery; fosters user engagement; and supports sustainable urban development goals, particularly net-zero carbon emissions. However, the IPA results highlight critical service gaps in the “Priority Improvement Zone,” specifically regarding the insufficient number of affiliated merchants and inconvenient information search functions. Qualitative findings attribute these gaps to cross-departmental administrative barriers and security-focused design trade-offs. This study contributes empirical evidence on the integration of financial technology and public service innovation as a means to advance smart governance and sustainable urban ecosystems. The results provide actionable insights for policymakers, city planners, and service designers focused on promoting digital public services that facilitate economic vitality, environmental sustainability, and collaborative governance. Full article

Characterized by zero-carbon, congestion-free, and high-capacity features, the utilization of metro systems for collaborative passenger-and-freight transport (the metro-based underground logistics system, M-ULS) has been recognized as a favorable alternative to facilitate automated freight transport in future megacities. This article constructs a three-echelon M-ULS network and establishes a multi-objective bilevel programming model, considering the interests of both government investment departments and transport enterprises. The overall goal of the study is to establish a transportation network with the lowest construction cost, lowest operating cost, and highest facility utilization rate, taking into account factors such as population density, transportation conditions, land resources, logistics demand, and metro station location, under given cost parameters and demand conditions. The upper-level model takes government investment as the main body and aims to minimize the total cost, establishing an optimization model for location selection allocation paths with capacity constraints; the lower-level model aims to minimize the generalized cost for freight enterprises by simulating the competition between traditional transportation and the M-ULS mode. In addition, a bi-level programming model solving framework was established, and a multi-stage precise heuristic hybrid algorithm based on adaptive immune clone selection algorithm (AICSA) and improved plant growth simulation algorithm (IPGSA) is designed for the upper-level model. Finally, taking the central urban area of Beijing as an example, four network scales are set up for numerical simulation research to verify the reliability and superiority of the model and algorithm. By analyzing and setting key indicators, an optimal network configuration scheme is proposed, providing a feasible path for cities to improve logistics efficiency and reduce the impact of logistics externalities under limited land resources, further strengthening the strategic role of subway logistics systems in urban sustainable development. Full article

This study approaches the “Zero-Waste City (ZWC)” initiative as a quasi-natural experiment. Utilizing panel data from 273 prefecture-level cities in China from 2013 to 2023, it employs a multi-period difference-in-differences model to systematically assess the initiative’s synergistic impacts on pollution and carbon emission (CE) reductions. The findings indicate that the initiative has notably lowered both urban pollution and CEs. These results remain robust following a series of stability tests, which include dynamic effect analyses, placebo tests, and propensity score matching. Mechanism analysis suggests that the policy primarily achieves its pollution and carbon reduction goals through four pathways: green technological innovation, public participation and oversight, source control, and end-of-pipe treatment. Heterogeneity analysis further demonstrates that the policy’s effects are more pronounced in resource-based cities, regions with advanced digitalization, and areas with stringent environmental regulations. Additionally, “ZWC” initiatives notably enhance synergies between pollution reduction and carbon mitigation, especially in controlling pollutants closely associated with energy consumption, such as sulfur dioxide and particulate matter. This research provides empirical evidence and policy recommendations for promoting “ZWC” development and optimizing environmental governance systems. Full article

Given the huge contribution of the transportation sector to CO₂ emissions in metropolitan areas, urgent countermeasures are needed to achieve carbon neutrality. In this study of 66 administrative units (cities, counties, and districts) in the Seoul metropolitan area, we applied cluster analysis and a hierarchical regression model to analyze the impact of the 7D factors of Transit-Oriented Development (TOD) on CO₂ emissions from road transportation. The effects of TOD factors were found to vary in diverse contexts. A higher concentration of employment intensified regional travel demand, thereby increasing emissions—a phenomenon referred to as the Paradox of Concentration. In contrast, the expansion of urban rail and bicycle infrastructure facilitated modal shift toward sustainable transport but simultaneously stimulated commercial and logistics activities, leading to elevated overall emissions. Thus, a ‘two-faced infrastructure’ pattern is evident in the Seoul metropolitan area. Conversely, strengthened local self-containment by destination accessibility promoted short-distance travel, curbing emissions. These outcomes empirically exhibit that the low-carbon effect of TOD is contingent, implying that urban structure and policy context are key factors in determining emission pathways. The impacts of the TOD 7D factors are discussed in terms of emission effects, and differentiated policy directions reflecting inter-city heterogeneity are suggested. In particular, the results of our analysis emphasize the need for comprehensive TOD strategies that combine transportation infrastructure, demand management, local self-containment, and zero-emission logistics systems, beyond simple compact development strategies. The policy implications described here are applicable in other countries experiencing rapid urbanization. Full article

The global transition toward sustainable mobility and renewable energy integration demands intelligent energy management frameworks capable of coupling electric mobility, distributed generation, and energy storage. This study presents a comprehensive evaluation of the SIMA Project (Sistema Inteligente Multimodal da Amazônia), an innovative mobility pilot implemented at the Federal University of Pará, Brazil. The SIMA consists of the monitoring building, photovoltaic systems, lithium-based energy storage systems, and electric transportation modes (including urban and intercity buses, as well as a solar-powered catamaran), all interconnected within a microgrid. Field monitoring, data processing, and simulation analyses were conducted to assess energy performance, consumption patterns, and the operational feasibility of these electric systems under Amazonian conditions. The results indicate that the PV systems supply most of the SIMA’s demand, with the laboratory building accounting for 70% of total consumption and electric vehicles for 30%. Simulated full operation scenarios reveal the potential for near net-zero energy balance when energy management strategies are applied to generation, storage and charging. The findings demonstrate the technical viability of integrated mobility–energy systems in tropical contexts and provide practical insights for future low-carbon transport infrastructures in isolated or city-scale networks. Full article

This paper develops a Sustainable Artificial Intelligence-Driven Wind Power Forecasting System (SAI-WPFS) to enhance the integration of renewable energy while minimizing the environmental footprint of deep learning computations. Although deep learning models such as CNN, LSTM, and GRU have achieved high accuracy in wind power forecasting, existing research rarely considers the computational energy cost and associated carbon emissions, creating a gap between predictive performance and sustainability objectives. Moreover, limited studies have addressed the need for a balanced framework that jointly evaluates forecast precision and eco-efficiency in the context of large-scale renewable deployment. Using real-time data from the Dumat Al-Jandal Wind Farm, Saudi Arabia’s first utility-scale wind project, this study evaluates multiple deep learning architectures, including CNN-LSTM-AM and GRU, under a dual assessment framework combining accuracy metrics (MAE, RMSE, R²) and carbon efficiency indicators (CO₂ emissions per computational hour). Results show that the CNN-LSTM-AM model achieves the highest forecasting accuracy (MAE = 29.37, RMSE = 144.99, R² = 0.74), while the GRU model offers the best trade-off between performance and emissions (320 g CO₂/h). These findings demonstrate the feasibility of integrating sustainable AI into wind energy forecasting, aligning technical innovation with Saudi Vision 2030 goals for zero-carbon cities and carbon-efficient energy systems. Full article