Journal Description
Sustainability
Sustainability
is an international, peer-reviewed, open-access journal on environmental, cultural, economic, and social sustainability of human beings, published semimonthly online by MDPI. The Canadian Urban Transit Research & Innovation Consortium (CUTRIC), International Council for Research and Innovation in Building and Construction (CIB) and Urban Land Institute (ULI) are affiliated with Sustainability and their members receive discounts on the article processing charges.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, SCIE and SSCI (Web of Science), GEOBASE, GeoRef, Inspec, RePEc, CAPlus / SciFinder, and other databases.
- Journal Rank: JCR - Q2 (Environmental Studies) / CiteScore - Q1 (Geography, Planning and Development)
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 16.9 days after submission; acceptance to publication is undertaken in 3.8 days (median values for papers published in this journal in the first half of 2026).
- Recognition of Reviewers: Reviewers whose reports are timely and of high quality receive an APC discount voucher for a future publication in an MDPI journal. Become a reviewer.
- Companion journals for Sustainability include: World, Sustainable Chemistry, Conservation, Future Transportation, Architecture, Standards, Merits, Bioresources and Bioproducts, Accounting and Auditing, Environmental Remediation, Green, Advances in Carbon Neutrality and Sustainable Environmental Management.
- Journal Cluster of Environmental Science: Sustainability, Land, Clean Technologies, Environments, Nitrogen, Recycling, Urban Science, Safety, Air, Waste, Aerobiology, Toxics, Pollutants, The Journal of Xenobiotics, Journal of Parks, Green and Environmental Remediation.
Impact Factor:
4.1 (2025);
5-Year Impact Factor:
4.2 (2025)
Latest Articles
From Freeways to Treeways: Transforming Roads and Car Mobility into Biophilic Ecosystems
Sustainability 2026, 18(18), 9427; https://doi.org/10.3390/su18189427 - 14 Sep 2026
Abstract
It is the key premise of this review article that efforts by cities to shift away from car dependence or car-centric mobility will provide unusual opportunities to renaturalize and rewild cities and urban spaces, and represent a key approach to implementing the emerging
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It is the key premise of this review article that efforts by cities to shift away from car dependence or car-centric mobility will provide unusual opportunities to renaturalize and rewild cities and urban spaces, and represent a key approach to implementing the emerging vision of Biophilic Cities. A remarkable amount of urban space in cities is devoted to automobiles and to car-based mobility; even a small shift away from cars will open up significant new possibilities for planting trees and forests and other forms of nature. In many cities, this shift will be necessary to reach ambitious urban nature targets (e.g., forest canopy goals). The article describes many ways that cities can begin to rethink their streets and car mobility and provides an initial typology of biophilic streets and spaces that will be useful in this biophilic urban transition. A variety of emerging ideas and early examples from cities around the world are presented; from Paris to New York City to Seoul, there are emerging examples of what is possible, including open streets, green streets, urban trails and nature pathways, and wildlife-friendly streets and roads, among many others. The article speculates about future directions, as well as key obstacles cities will likely face as they implement these new biophilic mobility options and ideas.
Full article
(This article belongs to the Special Issue Sustainable Transportation Systems Design and Management)
Open AccessArticle
Whole-Life Carbon Governance in Building Regulation: Türkiye and Selected European Regulatory Pathways
by
Volkan Arslan, Ahmet Muhtar Çıtıpıtoğlu and Gökhan Arslan
Sustainability 2026, 18(18), 9426; https://doi.org/10.3390/su18189426 - 14 Sep 2026
Abstract
Whole-life carbon (WLC) governance is increasingly important to the decarbonization of the built environment, yet its incorporation into building regulation differs across jurisdictions and instrument types. This study examines how WLC governance is represented in Türkiye’s building regulatory framework and in selected European
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Whole-life carbon (WLC) governance is increasingly important to the decarbonization of the built environment, yet its incorporation into building regulation differs across jurisdictions and instrument types. This study examines how WLC governance is represented in Türkiye’s building regulatory framework and in selected European governance models. It combines comparative document analysis with targeted Python-based text analysis of eleven regulatory, strategic, voluntary and methodological documents, focusing on terminology, life-cycle-stage visibility, normative language, document similarity and policy-instrument profiles. The findings show that Türkiye has an established binding framework for operational-energy performance, whereas embodied-carbon and WLC requirements remain less institutionalized within the binding regulatory core. Broader life-cycle, material, and circularity concepts are more visible in voluntary and strategic documents. The selected European cases illustrate distinct regulatory pathways: France’s RE2020 integrates operational-energy and life-cycle-carbon requirements within a single regulatory framework, while Sweden employs a specialized mandatory climate-declaration and calculation approach. At the EU level, the recast EPBD establishes a binding trajectory toward more explicit life-cycle GWP requirements, while RICS and Level(s) provide complementary methodological reference structures. The study contributes to building decarbonization research by treating regulatory and policy documents as primary governance objects and by providing a transparent and transferable framework for comparing how operational energy and WLC are positioned within regulatory hierarchies.
Full article
(This article belongs to the Section Green Building)
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Open AccessArticle
Dimensions of Compact Urban Form and Carbon Emissions from Transport in Indian Cities
by
Sushmita Tamrakar and Pankaj Bahadure
Sustainability 2026, 18(18), 9425; https://doi.org/10.3390/su18189425 - 14 Sep 2026
Abstract
As cities strive to reduce carbon emissions, the way they are physically structured plays an important role in shaping travel patterns and energy use. Compact urban form is preferred as a strategy for sustainable urbanisation worldwide. However, compactness of an urban area is
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As cities strive to reduce carbon emissions, the way they are physically structured plays an important role in shaping travel patterns and energy use. Compact urban form is preferred as a strategy for sustainable urbanisation worldwide. However, compactness of an urban area is multidimensional, and the role of each dimension in shaping carbon emissions from transport remains insufficiently understood in the Indian context. This study addresses that gap by examining five dimensions of urban form—density, shape, contiguity, spatial concentration, and fragmentation—for 27 Indian cities. Each dimension is examined in relation to carbon emissions using three complementary methods, namely quadratic regression, generalised additive model, and segmented regression. Results show that shape is the strongest and most robust linear predictor, with irregular urban forms linked to higher emissions. Density shows a negative relationship, suggesting lower emissions at higher densities. Fragmentation shows a non-linear pattern, with a threshold at 0.785 (95% bootstrap confidence interval: 0.594–0.829). After correction for multiple comparisons, this pattern is considered as suggestive rather than confirmed. Contiguity and spatial concentration display no consistent effects. These findings indicate that strategies focused on reducing shape irregularity along with densification may offer effective pathways for emission reduction from transport in Indian cities.
Full article
Open AccessArticle
Greening of Africa: Analyzing the Effects of Green Taxes, Green Innovations, and Green Energy on Green Logistics
by
Hussaini Bala, Abdulaziz S. Al Naim, Abdulrahman Alomair, Armaya’u Alhaji Sani and Nouf Binhadab
Sustainability 2026, 18(18), 9424; https://doi.org/10.3390/su18189424 - 14 Sep 2026
Abstract
The need for a stronger framework that integrates green taxation, innovation, and energy into logistics operations in Africa has grown because these measures are critical to the continent’s green development, participation in global green goals, and ensuring an equitable, prosperous future for African
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The need for a stronger framework that integrates green taxation, innovation, and energy into logistics operations in Africa has grown because these measures are critical to the continent’s green development, participation in global green goals, and ensuring an equitable, prosperous future for African countries. To address this issue, this study investigated the impacts of green taxation, innovation, and energy on green logistics in Africa. This study drew on secondary sources, including the World Bank and the Organization for Economic Co-operation and Development, to create a dataset of 23 African countries from 2008 to 2022. In line with the pre-estimation test, we used heterogeneous panel data. As in the pre-estimation test, we used a heterogeneous panel data model (HDPDM). The results revealed that green taxation (GREENTAX) had a positive, significant long run effect on green logistics (GREENLOGI), implying that a green taxation regime could prompt behavioral changes among logistics customers and suppliers, promoting environmentally friendly practices. The results also showed that green innovations (GREENINNOV) had a positive, significant short- and long-term influence on GREENLOGI, emphasizing the need to incorporate green innovations into logistics plans to achieve short- and long-term benefits. Moreover, renewable energy (RENEW) was observed to be positive significant in the long run but insignificant in the short term. This indicates that the environmental effects of energy transition take time to materialize. Policymakers and regulators can use the study’s insights to develop frameworks to improve environmental policies and initiatives in African nations.
Full article
Open AccessArticle
The Lead Goose Effect of Chain Leaders: ESG Responsibility Spillovers on Supply Chain Environmental Investment—Mediating Channels and Heterogeneous Evidence from China’s A-Share Market
by
Hui Wu and Xuming Shangguan
Sustainability 2026, 18(18), 9423; https://doi.org/10.3390/su18189423 - 14 Sep 2026
Abstract
Against China’s dual-carbon goals, carbon emissions and pollution transfer across supply chains hinder systemic low-carbon transformation; the prior literature on ESG and corporate environmental investment mainly focuses on individual firm-level effects, ignoring the unique lead goose governance function of core chain leader enterprises
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Against China’s dual-carbon goals, carbon emissions and pollution transfer across supply chains hinder systemic low-carbon transformation; the prior literature on ESG and corporate environmental investment mainly focuses on individual firm-level effects, ignoring the unique lead goose governance function of core chain leader enterprises in supply chain networks and their internal transmission mechanisms. Drawing on stakeholder theory, this paper constructs a collaborative green supply chain governance framework led by chain leaders to fill the above research gaps. Based on a sample of Shanghai and Shenzhen A-share listed firms from 2011 to 2023, we identify chain leaders by combining official industrial chain leader lists and total asset threshold standards, with baseline ESG data from Wind and alternative Bloomberg ESG scores for robustness. Two-stage least squares instrumental variable regression addresses endogeneity, while omitted variable sensitivity analysis, indicator replacement and stepwise high-dimensional fixed effects ensure reliable empirical conclusions. The results provide evidence of a significant lead goose spillover effect: each one-unit improvement in chain leaders’ ESG performance is associated with an 8.33% increase in upstream suppliers’ environmental investment at the 1% significance level and downstream clients’ environmental investment by 3.54% at the 5% significance level, yet non-leader enterprises generate no meaningful spillover impacts, and the effect is stronger for upstream partners. Mechanism tests support two core mediating channels: chain leaders’ ESG performance stimulates supply-chain green investment by fostering environmental sensitivity salience and cutting inter-firm transaction costs. Heterogeneity analysis shows the spillover effect is amplified in polluting industries and highly concentrated supply chains. This research extends the emerging literature on supply chain ESG spillovers by documenting the lead goose effect of formally identified chain leaders on partners’ actual environmental investment, distinguishing directional asymmetry, and unveiling dual mediating mechanisms.
Full article
(This article belongs to the Section Economic and Business Aspects of Sustainability)
Open AccessReview
Per- and Polyfluoroalkyl Substances (PFAS) in Sewage Sludge: A Journey from Global Occurrence to Adsorption and the Fate During Conventional Disposal Pathways
by
Muzi Li, Han Wang, Yangmo Zhu, Ranbin Liu, Haiyan Yang, Dongye Zhao, Tianyuan Xu and Shuting Tian
Sustainability 2026, 18(18), 9422; https://doi.org/10.3390/su18189422 - 14 Sep 2026
Abstract
Wastewater treatment plants (WWTPs) not only function as receivers of per- and polyfluoroalkyl substances (PFAS) from influent streams, but also act as PFAS contributors to the environment via effluent and sewage sludge, attributed to their strong adsorption affinity and resistance to conventional wastewater
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Wastewater treatment plants (WWTPs) not only function as receivers of per- and polyfluoroalkyl substances (PFAS) from influent streams, but also act as PFAS contributors to the environment via effluent and sewage sludge, attributed to their strong adsorption affinity and resistance to conventional wastewater treatment processes. Thus, this review aims to comprehensively analyze the occurrence, adsorption mechanisms, and environmental fate of PFAS in sewage sludge, with a particular focus on their fate during traditional sludge disposal, namely, land application, landfill, and incineration. Long-chain perfluorooctane sulfonate (PFOS) and perfluorooctanoic acid (PFOA) dominate in sewage sludge from worldwide WWTPs, with increasing prevalence of short-chain compounds. Adsorption of PFAS by sewage sludge is influenced by PFAS chain length and function group, pH, ionic strength, and organic matter. Enhanced adsorption is achieved under acidic conditions and with divalent cations. In terms of PFAS behavior in conventional sludge management, land application facilitates PFAS uptake by crops, leading to bioaccumulation in the food chain and potential human exposure. Prolonged exposure to PFAS via landfilling not only significantly alters soil microbial community structures, but also yields bacterial toxicity. Effective incineration typically requires temperatures above 850–1000°C. Incomplete thermal decomposition releases toxic fluorinated by-products into the environment and generates persistent fluorinated radicals, which result in fluorinated compounds formation in further thermal treatment. In conclusion, this work highlights the significant accumulation and persistence of PFAS in sewage sludge and their concerning behavior during conventional sludge disposal. They underscore the necessity for advanced treatment technologies and managing their impact on the ecosystem.
Full article
(This article belongs to the Section Pollution Prevention, Mitigation and Sustainability)
Open AccessArticle
From Sustainability Governance Architecture to Climate Strategy: Provider-Observed Sequence of Reporting and Internal Accountability
by
Ibrahim Alhanaya
Sustainability 2026, 18(18), 9421; https://doi.org/10.3390/su18189421 - 14 Sep 2026
Abstract
Corporate sustainability governance is often measured as a set of coexisting mechanisms, leaving unclear whether the order in which reporting and internal accountability first become visible is associated with later formal cross-domain assembly and climate implementation. Using Bloomberg FY2020–FY2024 data, this study defines
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Corporate sustainability governance is often measured as a set of coexisting mechanisms, leaving unclear whether the order in which reporting and internal accountability first become visible is associated with later formal cross-domain assembly and climate implementation. Using Bloomberg FY2020–FY2024 data, this study defines provider-observed pathways in a focal cohort of 478 firms with no observed architecture component at the FY2020 baseline; the principal adjusted staged-adopter model uses 262 firms, while direct-climate models use 53–171 firms depending on the outcome. Reporting-first entry is associated with an 18.7 percentage-point higher probability of FY2024 formal cross-domain architecture under HC1 inference (p < 0.001). The point estimate is unchanged when uncertainty is clustered by country-of-domicile jurisdiction (p = 0.048), but finite-cluster inference is materially weaker (CR2/Satterthwaite p = 0.137; restricted Rademacher wild-cluster p = 0.303). Thus, coefficient magnitude is stable while jurisdiction-level statistical precision is not. Annual transition and two-year persistence estimates are positive, but a stricter three-year persistence check among firms with sufficient exposure shows no detectable adjusted difference. Component decomposition further shows that the precisely estimated domain contrast is driven mainly by GRI-first relative to committee-first entry; SASB-first and pay-first estimates are statistically imprecise. Reporting-first firms show no broader climate strategy advantage or lower-emissions advantage. TCFD adoption is lower after controls and remains significant after Holm adjustment, whereas the nominal positive Scope 2 result does not. The evidence therefore identifies a bounded, associational pattern in provider-observed formal governance assembly, not a causal adoption mechanism or evidence of superior climate performance. Information infrastructure remains a theoretically plausible interpretation for direct testing in future research.
Full article
(This article belongs to the Special Issue Sustainable Governance: ESG Practices in the Modern Corporation)
Open AccessArticle
Digital Transformation and Firms’ ESG Performance: The Moderating Effect of Financing Constraints
by
Ziying Ruan, Ye Hua, Yi Mei, Xiaoyan Xu and Haoming Yang
Sustainability 2026, 18(18), 9420; https://doi.org/10.3390/su18189420 - 14 Sep 2026
Abstract
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This study analyzes the impact of firm digital transformation on environmental, social, and corporate governance (ESG) performance, incorporating financing constraints as a moderating factor. Based on dynamic capability theory and resource orchestration theory, the analysis is conducted using panel data from China’s A-share
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This study analyzes the impact of firm digital transformation on environmental, social, and corporate governance (ESG) performance, incorporating financing constraints as a moderating factor. Based on dynamic capability theory and resource orchestration theory, the analysis is conducted using panel data from China’s A-share listed firms between 2009 and 2025. Results show that digital transformation is positively associated with ESG performance, and that this association weakens as financing constraints intensify and may reverse when constraints are severe. The association is strongest among mature firms and among firms followed by more analysts. These findings identify financing constraints as a boundary condition for the conversion of digital transformation into ESG performance and suggest that easing financing constraints may help digital investment translate into sustainability outcomes.
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Open AccessArticle
Truck–Drone Collaborative Delivery of Emergency Supplies Considering Demand Priority Under Flood Disasters
by
Tianrun Qin, Liang’an Huo and Nan Chen
Sustainability 2026, 18(18), 9419; https://doi.org/10.3390/su18189419 - 14 Sep 2026
Abstract
Flood disasters often disrupt transportation networks and significantly increase the complexity of emergency relief distribution, threatening community sustainability. Existing truck–drone collaborative delivery studies mainly emphasize efficiency improvement while neglecting variations in demand urgency among affected areas, limiting their ability to balance routing efficiency
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Flood disasters often disrupt transportation networks and significantly increase the complexity of emergency relief distribution, threatening community sustainability. Existing truck–drone collaborative delivery studies mainly emphasize efficiency improvement while neglecting variations in demand urgency among affected areas, limiting their ability to balance routing efficiency and emergency response priorities. To address this issue, a truck–drone collaborative emergency relief distribution model that incorporates demand priority is proposed. A demand-point priority evaluation framework is first established based on population density, infrastructure damage, and regional economic importance. The entropy weight–TOPSIS method is employed to determine the comprehensive priority score of each demand node. A priority-delay penalty mechanism is then incorporated into the routing process to coordinate demand urgency with delivery efficiency. Accordingly, a bi-objective optimization model is formulated to minimize the total delivery completion time and maximize the comprehensive priority score, and an improved non-dominated sorting genetic algorithm II (INSGA-II) with an external archive is developed to solve the proposed model. A case study based on the May 2026 flood disaster in Shangyou County, Ganzhou, China, covering 15 demand nodes, is carried out. Compared with standard NSGA-II and SPEA2, INSGA-II shortens computational runtime by 9.50% and 29.86% respectively, and generates more diversified and evenly distributed Pareto solutions. Under compromise, priority-oriented and time-oriented decision-making scenarios, INSGA-II raises comprehensive priority scores by 7.27%, 5.26%, 14.09% versus standard NSGA-II and by 5.36%, 4.05%, 1.80% versus SPEA2, while maintaining competitive delivery-time performance. The proposed method provides effective decision support for emergency resource allocation and truck–drone collaborative emergency logistics in flood disasters.
Full article
Open AccessArticle
Evaluating Urban Impacts on Energy, Carbon, and Hydrological Cycles Across Morocco
by
Mohamed Amine Lachkham, Noura Ed-dahmany, Lahouari Bounoua and Mohammed Yacoubi Khebiza
Sustainability 2026, 18(18), 9418; https://doi.org/10.3390/su18189418 - 14 Sep 2026
Abstract
Urbanization is a pervasive form of land-use change that alters surface energy, carbon, and water fluxes. Using the Simple Biosphere 2 (SiB2) land surface model, we quantify the effects of urban land transformation on land surface temperature (LST), gross primary productivity (GPP), and
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Urbanization is a pervasive form of land-use change that alters surface energy, carbon, and water fluxes. Using the Simple Biosphere 2 (SiB2) land surface model, we quantify the effects of urban land transformation on land surface temperature (LST), gross primary productivity (GPP), and surface water discharge across Morocco. We find that urban effects on LST exhibit strong seasonality as urban areas are consistently warmer than surrounding rural land in winter, whereas summer conditions can produce urban heat sink effects, with rural surfaces becoming warmer than urban centers by up to 0.4 °C as a seasonal mean. We quantify the relationship between urbanization intensity and its local impact on LST, showing that it holds strongly throughout most of the year but weakens in summer, when background regional climate and topography play a greater role. Urbanization was found to reduce ecosystem productivity, with the largest urban induced GPP losses occurring in northern urban settings. Across the Climate Modeling Grid (CMG) cells meeting the study’s inclusion criterion of ≥5% impervious surface area (ISA), three counterfactual pre-urbanization scenarios were developed to quantify the range of GPP losses associated with urban land transformation, estimating potential losses of up to 120 Gg C/year when urbanization occurs on the most productive vegetative land covers. We also show that impervious surfaces systematically increase surface runoff, particularly during autumn and winter in northern Mediterranean cities, where elevated rainfall may amplify flash-flood susceptibility. These results indicate that urbanization exerts a measurable and policy-relevant influence on Morocco’s surface energy, water and carbon budgets, underscoring the need to account for it in future development planning.
Full article
(This article belongs to the Section Sustainable Urban and Rural Development)
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Open AccessArticle
Beyond Demographics: Incorporating Relational Values and Disvalues into Socio-Environmental Profiles of Landowners Adjacent to Cerro Castillo National Park, Chilean Patagonia
by
Catalina Fuentealba, Trace Gale and Andrea Báez-Montenegro
Sustainability 2026, 18(18), 9417; https://doi.org/10.3390/su18189417 - 14 Sep 2026
Abstract
Land-use change is the primary direct driver of terrestrial biodiversity loss. Around Cerro Castillo National Park (PNCC) in Chilean Patagonia, rural land subdivision increased by 400% between 2011 and 2023, generating ecological, economic, and social pressures on the park and surrounding communities. Protected-area
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Land-use change is the primary direct driver of terrestrial biodiversity loss. Around Cerro Castillo National Park (PNCC) in Chilean Patagonia, rural land subdivision increased by 400% between 2011 and 2023, generating ecological, economic, and social pressures on the park and surrounding communities. Protected-area conservation requires integrating social and cultural dimensions that shape how territories are inhabited and transformed. This exploratory study analyzes how relational valuation contributes to understanding people–nature relationships by comparing two socio-environmental profiling models of landowners adjacent to PNCC. Based on 129 surveys, relational values and disvalues were coded from an open-ended question. Models were compared using Multiple Correspondence Analysis, Hierarchical Clustering on Principal Components, and a Chi-square test. Although exploratory and non-generalizable, both models identified three profiles, with Model B offering a complementary characterization that emphasized relational orientations and pro-environmental preferences. These findings suggest that relational valuation can complement sociodemographic and territorial characterization by revealing differentiated ways in which landowners in this sample relate to nature and territory, including identity- and stewardship-oriented relationships, as well as relationships shaped by socio-environmental tensions. These exploratory insights provide a basis for further research and participatory validation in protected-area contexts and may inform differentiated conservation and land-use management strategies under rural subdivision pressures.
Full article
(This article belongs to the Collection Editorial Board Members’ Collection Series: Biodiversity as a Natural Asset: Monitoring, Assessment, Policy and Management for the 21st Century)
Open AccessArticle
Managerial Buffering and the Sustainability Paradox: How Intermediary Organizations Shape the Social Sustainability of Platform Labor
by
Hongji Zhong, Haolang Tan, Tinghui Dong and Yanping Chen
Sustainability 2026, 18(18), 9416; https://doi.org/10.3390/su18189416 - 14 Sep 2026
Abstract
Digital labor platforms have expanded employment in urban service work while shifting much of the operational and occupational risk of that work onto workers. Whether such employment can support decent work—the central labor commitment of SDG 8—remains unresolved. Algorithmic dispatching, real-time monitoring, and
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Digital labor platforms have expanded employment in urban service work while shifting much of the operational and occupational risk of that work onto workers. Whether such employment can support decent work—the central labor commitment of SDG 8—remains unresolved. Algorithmic dispatching, real-time monitoring, and continuous performance evaluation have raised delivery efficiency, but they have also intensified the tension between operational speed and the conditions under which that work is performed. The prior literature has largely examined algorithmic control as a relationship between platforms and workers, yet has paid less attention to how intermediary organizations translate platform rules into enforceable—and at times protective—practices. What remains under-theorized is not the existence of intermediaries but the mechanisms through which they absorb, translate, and redistribute algorithmic pressure. Drawing upon a 16-week ethnographic investigation at Subcontracted Station J in Nanjing, China, this study integrates approximately 120 h of participant observation, semi-structured interviews with 24 relevant actors, and 827 digital trace data entries from three workplace WeChat groups to examine how subcontracted stations mediate algorithmic pressure and its impact on decent work. We find that station managers selectively absorb, translate, and redistribute algorithmic pressure through four practices we term penalty buffering, risk buffering, resource buffering, and knowledge buffering. We conceptualize this meso-level governance mechanism as “managerial buffering.” Our findings demonstrate that achieving the decent work championed by SDG 8 cannot rely solely on informal repairs by grassroots organizations; rather, protective practices within these mechanisms must be institutionalized into explicit, universal, and enforceable framework agreements. This study also acknowledges that the applicability of the proposed “managerial buffering” framework may depend on local institutional and socioeconomic contexts. Constrained by a single-case design, future research could conduct comparative studies across cities, platforms, and stations to further test the empirical manifestations of managerial buffering under diverse institutional environments.
Full article
(This article belongs to the Section Development Goals towards Sustainability)
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Open AccessArticle
False Friends of Sustainable Mobility: A Fork-to-Wheel Method for Human Metabolic Energy in the Life-Cycle Carbon Footprint of Passenger Transport in Italy
by
Armando Cartenì, Antonella Falanga and Furio Cascetta
Sustainability 2026, 18(18), 9415; https://doi.org/10.3390/su18189415 - 14 Sep 2026
Abstract
Transport is among the hardest sectors to decarbonize, yet life-cycle carbon-footprint (CF) assessments of mobility systematically omit the human metabolic energy expended while traveling. This study introduces a Fork-to-Wheel system boundary that incorporates metabolic energy expenditure into the unit CF (gCO2eq/p-km)
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Transport is among the hardest sectors to decarbonize, yet life-cycle carbon-footprint (CF) assessments of mobility systematically omit the human metabolic energy expended while traveling. This study introduces a Fork-to-Wheel system boundary that incorporates metabolic energy expenditure into the unit CF (gCO2eq/p-km) of passenger transport modes, alongside vehicle production–maintenance and Well-to-Wheel energy, computed from mode-specific Metabolic Equivalent of Task values and diet-weighted carbon intensities for Italy. A Monte Carlo sensitivity analysis tests the robustness of the modal ranking. The results show that the metabolic component contributes only 1.1–2.3% of the total unit CF for private cars (89.0–188.4 gCO2eq/p-km), but 20.5–78.8% for micromobility and active modes, reaching 78.8% for walking and 77.1% for cycling. Consequently, walking (43.6 gCO2eq/p-km) exceeds both e-bikes (31.8) and e-scooters (26.4), while cycling (21.9) is of the same order as e-scooters, despite both being regarded as zero-emission. The ranking of walking against micromobility modes remains robust across all of the tested scenarios, and a break-even dietary intensity is derived for each pairwise comparison to support transfer to other contexts. Framed as the “false friends of sustainable mobility”, these results show that neglecting biological energy flows can distort carbon-based rankings. Carbon intensity alone, however, does not determine the sustainability of modal shifts: once mode-specific trip lengths are applied, the per-trip ordering differs from the per-kilometer one, and health, safety, and congestion effects lie outside the impact category assessed here.
Full article
(This article belongs to the Section Sustainable Transportation)
Open AccessArticle
Spatial Variation in Heavy-Metal Bioaccumulation and Associated Physiological Stress Biomarkers in Bufo regularis Across Three Different Locations in Southwestern Nigeria
by
Atinuke O. Bamidele, Oluwaferanmi I. Akinyemi, Yetunde M. Eyinola and Oluwaseun P. Bamidele
Sustainability 2026, 18(18), 9414; https://doi.org/10.3390/su18189414 - 14 Sep 2026
Abstract
Urbanisation is a major driver of environmental contamination, yet its physiological consequences for amphibians in rapidly developing regions remain poorly understood. This study investigated spatial variation in heavy-metal bioaccumulation and associated physiological stress biomarkers in Bufo regularis along an urban–rural gradient in Southwestern
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Urbanisation is a major driver of environmental contamination, yet its physiological consequences for amphibians in rapidly developing regions remain poorly understood. This study investigated spatial variation in heavy-metal bioaccumulation and associated physiological stress biomarkers in Bufo regularis along an urban–rural gradient in Southwestern Nigeria. Adult toads were sampled from Osogbo, Ile-Ife, and Modakeke sites, and concentrations of selected heavy metals (including Pb, Cd, Zn, Cu, and Cr) were quantified in liver and muscle tissues. To assess sublethal biological effects, oxidative stress biomarkers superoxide dismutase (SOD), catalase (CAT), glutathione-S-transferase (GST), reduced glutathione (GSH), and lipid peroxidation (malondialdehyde, MDA) were analysed alongside body condition indices. Heavy-metal concentrations were significantly higher in individuals from Osogbo sites than in those from Ile-Ife and Modakeke locations, with Pb and Cd showing the strongest spatial gradients. Correspondingly, Osogbo populations exhibited elevated antioxidant enzyme activities and MDA levels, indicating heightened oxidative stress, while GSH levels and body condition indices were reduced. These findings demonstrate that B. regularis effectively reflects spatial patterns of metal pollution and associated biological effects across land-use gradients. The study highlights the utility of amphibians as bioindicators of urban environmental health and underscores the potential long-term ecological consequences of metal contamination in tropical urbanising landscapes.
Full article
(This article belongs to the Section Environmental Sustainability and Applications)
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Open AccessArticle
Persistent Hypereutrophy and Limited One-Month-Ahead Forecastability in the Inner Bay of Lake Titicaca: Change Point Analysis and Leakage-Aware Temporal Validation
by
Edgar Eloy Carpio Vargas, Hugo Yosef Gomez Quispe, Edmundo G. Moreno Terrazas, Briguitte Danae Carpio Inquilla, Rosario Edely Ortega Barriga, Yanina Maritza Chambi Arucutipa and Roger Quispe Riquelme
Sustainability 2026, 18(18), 9413; https://doi.org/10.3390/su18189413 - 14 Sep 2026
Abstract
High-altitude lakes are increasingly exposed to nutrient enrichment, organic loading and wastewater-derived contamination, while predictive performance can be overstated when temporally ordered observations are randomly partitioned or target-defining measurements are reused as predictors. We analyzed 177 consecutive monthly water-quality records from the Inner
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High-altitude lakes are increasingly exposed to nutrient enrichment, organic loading and wastewater-derived contamination, while predictive performance can be overstated when temporally ordered observations are randomly partitioned or target-defining measurements are reused as predictors. We analyzed 177 consecutive monthly water-quality records from the Inner Bay of Lake Titicaca, Peru (January 2011–September 2025), integrating Carlson’s composite trophic state index (CTSI), Hamed–Rao modified Mann–Kendall tests, block-bootstrap Sen slopes, Pettitt change point detection with 12-month block permutation, nutrient stoichiometry, correlation, principal component analysis, leakage-aware contemporaneous classification and one-month-ahead forecasting. Total phosphorus was treated as elemental P and phosphate as PO4. The bay remained chronically hypereutrophic (mean CTSI 74.08 ± 4.07; 83.1% of months). BOD5 increased by 0.547 mg L−1 yr−1, chlorophyll-a by 3.254 mg m−3 yr−1, total suspended solids by 0.752 mg L−1 yr−1 and conductivity by 13.13 µS cm−1 yr−1, whereas total phosphorus declined by 0.085 mg P L−1 yr−1. Block-supported shifts occurred in chlorophyll-a in November 2016 (21.81 to 54.18 mg m−3) and BOD5 in June 2018 (6.54 to 11.77 mg L−1). After removing target-defining variables and preserving temporal order, the best trophic-state classifier had balanced accuracy 0.575 and MCC 0.257. Organic pollution classification had a balanced accuracy of 0.624 but a sensitivity of only 0.271, whereas the fecal-indicator model was unstable (MCC 0.130; ROC-AUC 0.460). Persistence was the best BOD5 forecast (RMSE 4.193 mg L−1; R2 0.390). The best CTSI model explained only 4.8% of future variance, and all thermotolerant coliform forecasts had negative out-of-time R2. Persistent ecological degradation was therefore evident, but monthly observations alone were insufficient for deployment-ready early warning. Higher-frequency sensing, hydrometeorological and wastewater load covariates, spatial replication, direct microbiological measurements and prospective validation are required.
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(This article belongs to the Special Issue AI Solutions for Improving Sustainability in Water Resource Management)
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Open AccessReview
Life-Cycle Assessment of Mariculture: Methodological Challenges and Priorities for Sustainable Blue Food Systems
by
Shupeng Li, Gaozheng Xu, Chengyu Wang, Zhongming Zhu and Zhe Wang
Sustainability 2026, 18(18), 9412; https://doi.org/10.3390/su18189412 - 14 Sep 2026
Abstract
Mariculture is expected to support sustainable food systems and coastal economies, yet its environmental performance varies markedly among production systems. Life-cycle assessment (LCA) links farm operations with upstream and downstream processes, but inconsistent functional units, system boundaries, allocation rules, impact categories, and ecological-process
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Mariculture is expected to support sustainable food systems and coastal economies, yet its environmental performance varies markedly among production systems. Life-cycle assessment (LCA) links farm operations with upstream and downstream processes, but inconsistent functional units, system boundaries, allocation rules, impact categories, and ecological-process accounting limit cross-study comparison. This study presents a narrative synthesis of 83 studies identified through a systematic search of the Web of Science Core Collection and retained after structured relevance screening and full-text verification. The main findings are as follows: Fed finfish and shrimp systems were primarily influenced by feed supply chains, farm energy use, survival, and nutrient emissions. Bivalve and seaweed systems shifted attention toward hatcheries, infrastructure, vessels, yield, post-harvest handling, and carbon or nutrient accounting. Integrated systems and emerging technologies showed mitigation potential, but their benefits depended on uptake efficiency, electricity mixes, infrastructure lifetimes, and allocation choices. Overall, the evidence supports a transition from isolated product footprints toward transparent, regionalized, and prospective assessments. Future research should prioritize inventory transparency, regionalized impact assessment, nutrition-sensitive functional units, separate reporting of ecosystem services and conventional environmental burdens, and explicit boundaries for environmental claims.
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(This article belongs to the Section Sustainable Oceans)
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Open AccessArticle
Valorization of Palm Kernel Meal as a Sustainable Feed Resource for Cattle: Chemical Composition and Ruminal Digestibility
by
Geetae Park, Hyunjin Cho, Andrian Deguinion Ragandang, Qawwali Muhammad Raihan, Taekyung Chang and Seongwon Seo
Sustainability 2026, 18(18), 9411; https://doi.org/10.3390/su18189411 - 14 Sep 2026
Abstract
Palm kernel meal (PKM), the solvent-extracted counterpart of palm kernel expeller (PKE), is generated in growing volumes as the palm oil industry expands, yet remains underexploited as a sustainable feed resource for ruminants. This study evaluated its nutritive value and valorization potential for
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Palm kernel meal (PKM), the solvent-extracted counterpart of palm kernel expeller (PKE), is generated in growing volumes as the palm oil industry expands, yet remains underexploited as a sustainable feed resource for ruminants. This study evaluated its nutritive value and valorization potential for cattle. Eight commercial PKM sources were analyzed and compared with PKE, corn gluten feed, and beet pulp by in vitro ruminal fermentation. Major nutrients were consistent across sources, with coefficients of variation ≤3.1% for organic matter, neutral detergent fiber (NDF, 765 g/kg dry matter), and crude protein (185 g/kg), whereas ether extract (24 g/kg) and the insoluble fractions varied more widely. Amino acid and fatty acid profiles were similar to those of PKE. The 48 h NDF digestibility (NDFD) was significantly higher in PKM (71.9%, p < 0.05) than PKE (53.7%) and did not differ from beet pulp (63.6%). The total digestible nutrients, estimated from composition and NDFD, were numerically higher in PKM (68.3%) than PKE (63.6%) despite its lower fat content and similar to beet pulp (70.3%), attributed to its higher truly digestible NDF. PKM is a reliable non-forage fiber source for ruminant diets, and its valorization as a secondary feed resource reduces dependence on conventional feed ingredients.
Full article
Open AccessReview
Seeing the Green from Above: A Review of Remote Sensing Techniques for Vegetation Cover Discrimination
by
Ghada A. Khdery, Mohamed S. Shokr and Aleksandra O. Utkina
Sustainability 2026, 18(18), 9410; https://doi.org/10.3390/su18189410 - 14 Sep 2026
Abstract
This review synthesizes recent regional applications of satellite, unmanned aerial vehicle (UAV), and hyperspectral/spectroradiometric remote sensing for vegetation cover discrimination, including crop and natural vegetation discrimination, plant disease and pest detection, and yield assessment. The reviewed evidence demonstrates complementary rather than universally superior
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This review synthesizes recent regional applications of satellite, unmanned aerial vehicle (UAV), and hyperspectral/spectroradiometric remote sensing for vegetation cover discrimination, including crop and natural vegetation discrimination, plant disease and pest detection, and yield assessment. The reviewed evidence demonstrates complementary rather than universally superior capabilities among sensing platforms. Satellite observations provide repeated large-area monitoring but remain constrained by spatial resolution, cloud interference, and spectral mixing, whereas UAVs offer very-high-resolution and flexible field-scale observations at the expense of spatial coverage and greater acquisition and processing requirements. Hyperspectral and spectroradiometric approaches provide detailed spectral information for distinguishing subtle vegetation differences, but are limited by data complexity and operational scalability. The quantitative results reported in the reviewed studies illustrate this variability: satellite-based crop discrimination achieved approximately 90% overall accuracy with QuickBird and 81% overall accuracy (κ = 0.74) with Sentinel-2 at a 10 m resolution, while a UAV hyperspectral vegetation classification study achieved 94.5% accuracy. However, these values are not directly comparable because the vegetation targets, sensors, acquisition conditions, and analytical methods differed among studies. Recent evidence also indicates that the phenological timing, spectral band selection, spatial resolution, and representative training data strongly influence the discrimination performance, while the transfer of disease detection models from controlled experiments to operational field conditions remains a major challenge. By integrating evidence from satellite, UAV, and ground-based spectroradiometric approaches, this review provides a comprehensive framework for understanding the complementary capabilities of these technologies for vegetation cover discrimination and highlights their importance for improving vegetation monitoring, precision agriculture, and sustainable ecosystem management.
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(This article belongs to the Special Issue Applications of Remote Sensing and Artificial Intelligence in Land Cover Mapping and Ecosystem Monitoring)
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From Surface Deformation to Permafrost Process Inference: A Systematic Review of InSAR Applications, Validation, and Quantitative Evidence
by
Qingsong Du
Sustainability 2026, 18(18), 9409; https://doi.org/10.3390/su18189409 - 14 Sep 2026
Abstract
Interferometric synthetic aperture radar (InSAR) maps ground motion in permafrost regions, but deformation does not uniquely identify the underlying process. This systematic review assessed how far the field has progressed from deformation detection toward validated process inference. A Web of Science Core Collection
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Interferometric synthetic aperture radar (InSAR) maps ground motion in permafrost regions, but deformation does not uniquely identify the underlying process. This systematic review assessed how far the field has progressed from deformation detection toward validated process inference. A Web of Science Core Collection search on 16 July 2026 returned 409 records; 262 publications met the core scope, and 175 contributed 372 coherent scientific results and 727 companion metrics. Research expanded rapidly after 2020 and diversified from seasonal mapping toward active-layer thickness (ALT), ground ice, hydrology, infrastructure, and predictive modelling. Evidence maturity nevertheless declined along the inference chain. Descriptive deformation/quality and model/algorithm results comprised 58.3% of the evidence, whereas direct validation against field observations, global navigation satellite system (GNSS) measurements, or levelling comprised 4.6%. Only 12.4% of results reported a defensible analytic sample size and 33.9% provided usable uncertainty. ALT evaluations using probing, ground-penetrating radar (GPR), or model references estimated non-equivalent quantities and could not support one pooled accuracy measure. The radar line-of-sight (LOS) displacement is also a projected, non-unique response whose process interpretation depends on motion geometry and thermal, hydrological, and mechanical assumptions. No evidence family met the prespecified requirements for global meta-analysis. Progress toward cumulative inference requires explicit estimands, matched independent validation, uncertainty propagation, and transparent dataset dependence.
Full article
(This article belongs to the Special Issue Spatial Data for a Sustainable World: Remote Sensing in Geoscientific Research)
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Open AccessArticle
Is Blockchain Technology Reshaping Traceability and Supply Chain Transparency in Agri-Food Systems? Learning from Generation Z Consumers in Malaysia
by
Cai-Juan Soong, Sandar-Han Nyein, Fedele Colantuono and Mariantonietta Fiore
Sustainability 2026, 18(18), 9408; https://doi.org/10.3390/su18189408 - 14 Sep 2026
Abstract
With increasing concerns over food safety, fraud, and information asymmetry in global food supply chains, improving transparency has become a key challenge for modern agricultural systems. Traditional supply chains often lack visibility, leading to fragmented data, reduced consumer trust, and difficulties in verifying
[...] Read more.
With increasing concerns over food safety, fraud, and information asymmetry in global food supply chains, improving transparency has become a key challenge for modern agricultural systems. Traditional supply chains often lack visibility, leading to fragmented data, reduced consumer trust, and difficulties in verifying food product information. Blockchain technology has emerged as a promising solution for enabling decentralised and tamper-resistant data sharing across supply networks. However, despite its theoretical potential, empirical evidence remains limited regarding how blockchain adoption enhances transparency through specific operational mechanisms, such as traceability. Therefore, this study investigates the role of blockchain adoption in improving traceability and strengthening supply chain transparency within agri-food systems. Data were collected from Generation Z university students in Malaysia, selected due to their familiarity with digital technologies and heightened awareness of food sourcing issues. The study is based on a total of 253 usable responses analysed using IBM SPSS Statistics 27, employing reliability analysis, Exploratory Factor Analysis, Pearson correlation, multiple regression analysis, and the PROCESS Macro Model 4 with 5000 bootstrap resamples for mediation testing. The findings indicate that blockchain adoption is significantly and positively associated with traceability, which in turn is positively associated with overall supply chain transparency. Furthermore, traceability is found to act as a mediating factor, serving as the key mechanism through which blockchain generates transparency outcomes, via an indirect-only mediation pathway. Thus, based on this premise, it is evident that blockchain alone is not sufficient unless integrated with effective traceability systems, highlighting the importance of aligning digital infrastructure with physical supply chain processes to strengthen trust and resilience in agricultural systems.
Full article
(This article belongs to the Special Issue Sustainable Applications of AI and Machine Learning in Digital Ecosystems)
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