Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (2,081)

Search Parameters:
Keywords = sustainable districts

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
19 pages, 276 KiB  
Article
Science Education as a Pathway to Sustainable Awareness: Teachers’ Perceptions on Fostering Understanding of Humans and the Environment: A Qualitative Study
by Ali Al-Barakat, Rommel AlAli, Sarah Alotaibi, Jawaher Alrashood, Ali Abdullatif and Ashraf Zaher
Sustainability 2025, 17(15), 7136; https://doi.org/10.3390/su17157136 - 6 Aug 2025
Abstract
Sustainability education has become a global priority in educational systems, aiming to equip learners with the knowledge, values, and skills necessary to address complex environmental and social challenges. This study specifically aims to understand the role of science education in promoting students’ awareness [...] Read more.
Sustainability education has become a global priority in educational systems, aiming to equip learners with the knowledge, values, and skills necessary to address complex environmental and social challenges. This study specifically aims to understand the role of science education in promoting students’ awareness of sustainability and their understanding of the interconnected relationship between humans and the environment, based on the perceptions and practices of primary science teachers in Al-Ahsa, Saudi Arabia. A qualitative approach was utilized, which included semi-structured interviews complemented by classroom observations as primary data collection instruments. The targeted participants comprised a purposive sample consisting of forty-nine primary-level science instructors from the Al-Ahsa district, located in eastern Saudi Arabia. Emergent concepts from open and axial coding processes by using grounded theory were developed with the gathered data. Based on the findings, teachers perceive science teaching not only as knowledge delivery but as an opportunity to cultivate critical thinking and nurture eco-friendly actions among pupils. Classroom practices that underscore environmental values and principles of sustainability foster a transformative view of the teacher’s role beyond traditional boundaries. The data also highlighted classroom practices that integrate environmental values and sustainability principles, reflecting a transformative perspective on the teacher’s educational role. Full article
25 pages, 6730 KiB  
Article
Decentralized Coupled Grey–Green Infrastructure for Resilient and Cost-Effective Stormwater Management in a Historic Chinese District
by Yongqi Liu, Ziheng Xiong, Mo Wang, Menghan Zhang, Rana Muhammad Adnan, Weicong Fu, Chuanhao Sun and Soon Keat Tan
Water 2025, 17(15), 2325; https://doi.org/10.3390/w17152325 - 5 Aug 2025
Viewed by 22
Abstract
Coupled grey and green infrastructure (CGGI) offers a promising pathway toward sustainable stormwater management in historic urban environments. This study compares CGGI and conventional grey infrastructure (GREI)-only strategies across four degrees of layout centralization (0%, 33.3%, 66.7%, and 100%) in the Quanzhou West [...] Read more.
Coupled grey and green infrastructure (CGGI) offers a promising pathway toward sustainable stormwater management in historic urban environments. This study compares CGGI and conventional grey infrastructure (GREI)-only strategies across four degrees of layout centralization (0%, 33.3%, 66.7%, and 100%) in the Quanzhou West Street Historic Reserve, China. Using a multi-objective optimization framework integrating SWMM simulations, life-cycle cost (LCC) modeling, and resilience metrics, we found that the decentralized CGGI layouts reduced the total LCC by up to 29.6% and required 60.7% less green infrastructure (GI) area than centralized schemes. Under nine extreme rainfall scenarios, the GREI-only systems showed slightly higher technical resilience (Tech-R: max 99.6%) than CGGI (Tech-R: max 99.1%). However, the CGGI systems outperformed GREI in operational resilience (Oper-R), reducing overflow volume by up to 22.6% under 50% network failure. These findings demonstrate that decentralized CGGI provides a more resilient and cost-effective drainage solution, well-suited for heritage districts with spatial and cultural constraints. Full article
Show Figures

Figure 1

10 pages, 1240 KiB  
Perspective
Designing for Equity: An Evaluation Framework to Assess Zero-Dose Reduction Efforts in Southern Madagascar
by Guillaume Demare, Elgiraud Ramarosaiky, Zavaniarivo Rampanjato, Nadine Muller, Beate Kampmann and Hanna-Tina Fischer
Vaccines 2025, 13(8), 834; https://doi.org/10.3390/vaccines13080834 - 5 Aug 2025
Viewed by 34
Abstract
Despite growing global momentum to reduce the number of children who never received a dose of any vaccine, i.e., zero-dose (ZD) children, persistent geographic and social inequities continue to undermine progress toward universal immunization coverage. In Madagascar, where routine vaccination coverage remains below [...] Read more.
Despite growing global momentum to reduce the number of children who never received a dose of any vaccine, i.e., zero-dose (ZD) children, persistent geographic and social inequities continue to undermine progress toward universal immunization coverage. In Madagascar, where routine vaccination coverage remains below 50% in most regions, the non-governmental organization Doctors for Madagascar and public sector partners are implementing the SOAMEVA program: a targeted community-based initiative to identify and reach ZD children in sixteen underserved districts in the country’s south. This paper outlines the equity-sensitive evaluation design developed to assess the implementation and impact of SOAMEVA. It presents a forward-looking evaluation framework that integrates both quantitative program monitoring and qualitative community insights. By focusing at the fokontany level—the smallest administrative unit in Madagascar—the evaluation captures small-scale variation in ZD prevalence and program reach, allowing for a detailed analysis of disparities often masked in aggregated data. Importantly, the evaluation includes structured feedback loops with community health workers and caregivers, surfacing local knowledge on barriers to immunization access and program adoption. It also tracks real-time adaptations to implementation strategy across diverse contexts, offering insight into how routine immunization programs can be made more responsive, sustainable, and equitable. We propose eight design principles for conducting equity-sensitive evaluation of immunization programs in similar fragile settings. Full article
(This article belongs to the Special Issue Inequality in Immunization 2025)
Show Figures

Figure 1

22 pages, 5826 KiB  
Article
Re-Habiting the Rooftops in Ciutat Vella (Barcelona): Co-Designed Low-Cost Solutions for a Social, Technical and Environmental Improvement
by Marta Domènech-Rodríguez, Oriol París-Viviana and Còssima Cornadó
Urban Sci. 2025, 9(8), 304; https://doi.org/10.3390/urbansci9080304 - 4 Aug 2025
Viewed by 109
Abstract
This research addresses urban inequality by focusing on the rehabilitation of communal rooftops in Ciutat Vella, Barcelona, the city’s historic district, where residential vulnerability is concentrated in a particularly dense heritage urban environment with a shortage of outdoor spaces. Using participatory methodologies, this [...] Read more.
This research addresses urban inequality by focusing on the rehabilitation of communal rooftops in Ciutat Vella, Barcelona, the city’s historic district, where residential vulnerability is concentrated in a particularly dense heritage urban environment with a shortage of outdoor spaces. Using participatory methodologies, this research develops low-cost, removable, and recyclable prototypes aimed at improving social interaction, technical performance, and environmental conditions. The focus is on vulnerable populations, particularly the elderly. The approach integrates a bottom–up process and scalable solutions presented as a Toolkit of micro-projects. These micro-projects are designed to improve issues related to health, safety, durability, accessibility, energy savings, and acoustics. In addition, several possible material solutions for micro-projects are examined in terms of sustainability and cost. These plug-in interventions are designed for adaptability and replication throughout similar urban contexts and can significantly improve the quality of life for people, especially the elderly, in dense historic environments. Full article
Show Figures

Figure 1

24 pages, 48949 KiB  
Article
Co-Construction Mechanisms of Spatial Encoding and Communicability in Culture-Featured Districts—A Case Study of Harbin Central Street
by Hehui Zhu and Chunyu Pang
Sustainability 2025, 17(15), 7059; https://doi.org/10.3390/su17157059 - 4 Aug 2025
Viewed by 170
Abstract
During the transition of culture-featured district planning from static conservation to innovation-driven models, existing research remains constrained by mechanistic paradigms, reducing districts to functional containers and neglecting human perceptual interactions and meaning-production mechanisms. This study explores and quantifies the generative mechanisms of spatial [...] Read more.
During the transition of culture-featured district planning from static conservation to innovation-driven models, existing research remains constrained by mechanistic paradigms, reducing districts to functional containers and neglecting human perceptual interactions and meaning-production mechanisms. This study explores and quantifies the generative mechanisms of spatial communicability and cultural dissemination efficacy within human-centered frameworks. Grounded in humanistic urbanism, we analyze Harbin Central Street as a case study integrating historical heritage with contemporary vitality, developing a tripartite communicability assessment framework comprising perceptual experience, infrastructure utility, and behavioral dynamics. Machine learning-based threshold analysis reveals that spatial encoding elements govern communicability through significant nonlinear mechanisms. The conclusion shows synergies between street view-quantified greenery visibility and pedestrian accessibility establish critical human-centered design thresholds. Spatial data analysis integrating physiologically sensed emotional experiences and topologically analyzed spatial morphology resolves metric fragmentation while examining spatial encoding’s impact on interaction efficacy. This research provides data-driven decision support for sustainable urban renewal and enhanced cultural dissemination, advancing heritage sustainability. Full article
(This article belongs to the Section Sustainable Urban and Rural Development)
Show Figures

Figure 1

24 pages, 10417 KiB  
Article
Landscape Ecological Risk Assessment of Peri-Urban Villages in the Yangtze River Delta Based on Ecosystem Service Values
by Yao Xiong, Yueling Li and Yunfeng Yang
Sustainability 2025, 17(15), 7014; https://doi.org/10.3390/su17157014 - 1 Aug 2025
Viewed by 219
Abstract
The rapid urbanization process has accelerated the degradation of ecosystem services (ESs) in peri-urban rural areas of the Yangtze River Delta (YRD), leading to increasing landscape ecological risks (LERs). Establishing a scientifically grounded landscape ecological risk assessment (LERA) system and corresponding control strategies [...] Read more.
The rapid urbanization process has accelerated the degradation of ecosystem services (ESs) in peri-urban rural areas of the Yangtze River Delta (YRD), leading to increasing landscape ecological risks (LERs). Establishing a scientifically grounded landscape ecological risk assessment (LERA) system and corresponding control strategies is therefore imperative. Using rural areas of Jiangning District, Nanjing as a case study, this research proposes an optimized dual-dimensional coupling assessment framework that integrates ecosystem service value (ESV) and ecological risk probability. The spatiotemporal evolution of LER in 2000, 2010, and 2020 and its key driving factors were further studied by using spatial autocorrelation analysis and geodetector methods. The results show the following: (1) From 2000 to 2020, cultivated land remained dominant, but its proportion decreased by 10.87%, while construction land increased by 26.52%, with minimal changes in other land use types. (2) The total ESV increased by CNY 1.67 × 109, with regulating services accounting for over 82%, among which water bodies contributed the most. (3) LER showed an overall increasing trend, with medium- to highest-risk areas expanding by 55.37%, lowest-risk areas increasing by 10.10%, and lower-risk areas decreasing by 65.48%. (4) Key driving factors include landscape vulnerability, vegetation coverage, and ecological land connectivity, with the influence of distance to road becoming increasingly significant. This study reveals the spatiotemporal evolution characteristics of LER in typical peri-urban villages. Based on the LERA results, combined with terrain features and ecological pressure intensity, the study area was divided into three ecological management zones: ecological conservation, ecological restoration, and ecological enhancement. Corresponding zoning strategies were proposed to guide rural ecological governance and support regional sustainable development. Full article
Show Figures

Figure 1

21 pages, 1162 KiB  
Article
Positioning K-8 Classroom Teachers as Mathematics Instructional Leaders
by Melissa D. Boston, Juli K. Dixon, Sarah B. Bush, Lisa A. Brooks, Brian E. Moore, Treshonda Rutledge and Angel M. Maldonado
Educ. Sci. 2025, 15(8), 982; https://doi.org/10.3390/educsci15080982 (registering DOI) - 1 Aug 2025
Viewed by 179
Abstract
In this research report, we consider how to empower K-8 teachers as mathematics instructional leaders to initiate and sustain improvements within their schools, as a practical and sustainable model of enacting change in mathematics education more broadly by developing leadership from within. We [...] Read more.
In this research report, we consider how to empower K-8 teachers as mathematics instructional leaders to initiate and sustain improvements within their schools, as a practical and sustainable model of enacting change in mathematics education more broadly by developing leadership from within. We share the theoretical framework and findings from a 5-year National Science Foundation project. We utilized a longitudinal mixed methods approach, collecting data on teachers’ knowledge, instructional practices, leadership practices, and self-perception of growth throughout the project, triangulated with focus group data from teachers’ school administrators and project leaders and logs of leadership activities. Findings indicate positive changes in teachers’ knowledge and practices and in their role as instructional leaders in their schools, districts, and the mathematics education community. We conclude by sharing factors that appeared to support teachers’ growth as instructional leaders and implications for practice and research. Full article
Show Figures

Figure 1

18 pages, 1458 KiB  
Article
Factors Influencing Willingness to Collaborate on Water Management: Insights from Grape Farming in Samarkand, Uzbekistan
by Sodikjon Avazalievich Mamasoliev, Motoi Kusadokoro, Takeshi Maru, Shavkat Hasanov and Yoshiko Kawabata
Sustainability 2025, 17(15), 6991; https://doi.org/10.3390/su17156991 - 1 Aug 2025
Viewed by 255
Abstract
Water is essential for ecological balance, environmental sustainability, and food security, particularly in arid regions where effective water management increasingly depends on farmer cooperation. The Samarkand region of Uzbekistan, known for its favorable climate and leading role in grape production, is facing rising [...] Read more.
Water is essential for ecological balance, environmental sustainability, and food security, particularly in arid regions where effective water management increasingly depends on farmer cooperation. The Samarkand region of Uzbekistan, known for its favorable climate and leading role in grape production, is facing rising drought conditions. This study explores the factors influencing grape farmers’ willingness to collaborate on water management in the districts of Ishtikhan, Payarik, and Kushrabot, which together produce 75–80% of the region’s grapes. A quantitative survey of 384 grape-producing households was conducted across 19 county citizens’ gatherings (38.7% of such gatherings), and structural equation modeling was employed to analyze a framework consisting of four dimensions: norms, environmental concerns, economic barriers, and the intention to adopt sustainable practices. The results indicate that norms and environmental concerns positively influence collaboration, suggesting a collective orientation toward sustainability. In contrast, economic barriers such as high costs and limited financial capacity significantly hinder cooperative behavior. Furthermore, a strong individual intention to adopt sustainable practices was associated with a greater likelihood of collaboration. These findings highlight the critical drivers and constraints shaping collective water use in agriculture and suggest that targeted policy measures and community-led efforts are vital for promoting sustainable water governance in drought-prone regions. Full article
Show Figures

Figure 1

17 pages, 1584 KiB  
Article
What Determines Carbon Emissions of Multimodal Travel? Insights from Interpretable Machine Learning on Mobility Trajectory Data
by Guo Wang, Shu Wang, Wenxiang Li and Hongtai Yang
Sustainability 2025, 17(15), 6983; https://doi.org/10.3390/su17156983 - 31 Jul 2025
Viewed by 212
Abstract
Understanding the carbon emissions of multimodal travel—comprising walking, metro, bus, cycling, and ride-hailing—is essential for promoting sustainable urban mobility. However, most existing studies focus on single-mode travel, while underlying spatiotemporal and behavioral determinants remain insufficiently explored due to the lack of fine-grained data [...] Read more.
Understanding the carbon emissions of multimodal travel—comprising walking, metro, bus, cycling, and ride-hailing—is essential for promoting sustainable urban mobility. However, most existing studies focus on single-mode travel, while underlying spatiotemporal and behavioral determinants remain insufficiently explored due to the lack of fine-grained data and interpretable analytical frameworks. This study proposes a novel integration of high-frequency, real-world mobility trajectory data with interpretable machine learning to systematically identify the key drivers of carbon emissions at the individual trip level. Firstly, multimodal travel chains are reconstructed using continuous GPS trajectory data collected in Beijing. Secondly, a model based on Calculate Emissions from Road Transport (COPERT) is developed to quantify trip-level CO2 emissions. Thirdly, four interpretable machine learning models based on gradient boosting—XGBoost, GBDT, LightGBM, and CatBoost—are trained using transportation and built environment features to model the relationship between CO2 emissions and a set of explanatory variables; finally, Shapley Additive exPlanations (SHAP) and partial dependence plots (PDPs) are used to interpret the model outputs, revealing key determinants and their non-linear interaction effects. The results show that transportation-related features account for 75.1% of the explained variance in emissions, with bus usage being the most influential single factor (contributing 22.6%). Built environment features explain the remaining 24.9%. The PDP analysis reveals that substantial emission reductions occur only when the shares of bus, metro, and cycling surpass threshold levels of approximately 40%, 40%, and 30%, respectively. Additionally, travel carbon emissions are minimized when trip origins and destinations are located within a 10 to 11 km radius of the central business district (CBD). This study advances the field by establishing a scalable, interpretable, and behaviorally grounded framework to assess carbon emissions from multimodal travel, providing actionable insights for low-carbon transport planning and policy design. Full article
(This article belongs to the Special Issue Sustainable Transportation Systems and Travel Behaviors)
Show Figures

Figure 1

19 pages, 440 KiB  
Article
Contextual Study of Technostress in Higher Education: Psychometric Evidence for the TS4US Scale from Lima, Peru
by Guillermo Araya-Ugarte, Miguel Armesto-Céspedes, Nicolás Contreras-Barraza, Alejandro Vega-Muñoz, Guido Salazar-Sepúlveda and Nelson Lay
Sustainability 2025, 17(15), 6974; https://doi.org/10.3390/su17156974 - 31 Jul 2025
Viewed by 291
Abstract
Sustainable education requires addressing the challenges posed by digital transformation, including technostress among university students. This study evaluates technostress levels in higher education through the validation of the TS4US scale and its implications for sustainable learning environments. A cross-sectional study was conducted with [...] Read more.
Sustainable education requires addressing the challenges posed by digital transformation, including technostress among university students. This study evaluates technostress levels in higher education through the validation of the TS4US scale and its implications for sustainable learning environments. A cross-sectional study was conducted with 328 university students from four districts in Lima, Peru, using an online survey to measure technostress. Confirmatory factor analysis (CFA) was performed to assess the psychometric properties of the TS4US scale, resulting in a refined model with two latent factors and thirteen validated items. Findings indicate that 28% of students experience high technostress levels, while 5% report very high levels, though no significant associations were found between technostress and sociodemographic variables such as campus location, employment status, gender, and academic level. The TS4US instrument had been previously validated in Chile; this study confirms its structure in a new sociocultural context, reinforcing its cross-cultural applicability. These results highlight the need for sustainable strategies to mitigate technostress in higher education, including institutional support, digital literacy programs, and policies fostering a balanced technological environment. Addressing technostress is essential for promoting sustainable education (SDG4) and enhancing student well-being (SDG3). This study directly contributes to the achievement of Sustainable Development Goals 3 (Good Health and Well-being) and 4 (Quality Education) by providing validated tools and evidence-based recommendations to promote mental health and equitable access to digital education in Latin America. Future research should explore cross-country comparisons and targeted interventions, including digital well-being initiatives and adaptive learning strategies, to ensure a resilient and sustainable academic ecosystem. Full article
(This article belongs to the Section Sustainable Education and Approaches)
Show Figures

Figure 1

15 pages, 860 KiB  
Article
Classification of Agricultural Soils in Manica and Sussundenga (Mozambique)
by Mário J. S. L. Pereira, João M. M. Leitão and Joaquim Esteves da Silva
Environments 2025, 12(8), 265; https://doi.org/10.3390/environments12080265 - 31 Jul 2025
Viewed by 253
Abstract
Mozambique soils are known for having an unbalanced agronomic and environmental composition that results in poor agricultural production yields. However, agriculture is the main economic activity of Mozambique, and soils must be characterised for their elemental deficiencies and/or excesses. This paper sampled nine [...] Read more.
Mozambique soils are known for having an unbalanced agronomic and environmental composition that results in poor agricultural production yields. However, agriculture is the main economic activity of Mozambique, and soils must be characterised for their elemental deficiencies and/or excesses. This paper sampled nine farms from the Manica and Sussundenga districts (Manica province) in three campaigns in 2021/2022, 2022/2023, and 2023/2024 (before and after the rainy seasons). They were subjected to a physical–chemical analysis to assess their quality from the fertility and environmental contamination point of view. Attending to the physical–chemical properties analysed, and for all the soils and sampling campaigns, a low concentration below the limit of detection for B of <0.2 mg/Kg for the majority of soils and a low concentration of Al < 0.025 mg/Kg for all the soils were obtained. Also, higher concentrations for the majority of soils for the Ca between 270 and 1634 mg/Kg, for the Mg between 41 and 601 mg/Kg, for the K between 17 and 406 mg/Kg, for the Mn between 13.6 and 522 mg/Kg, for the Fe between 66.3 and 243 mg/Kg, and for the P between <20 and 132 mg/Kg were estimated. In terms of texture and for the sand, a high percentage between 6.1 and 79% was found. In terms of metal concentrations and for all the soils of the Sussundenga district and sampling campaigns, a concentration above the reference value concentration for the Cr (76–1400 mg/Kg) and a concentration below the reference value concentration for the Pb (5–19 mg/Kg), Ba (13–120 mg/Kg) and for the Zn (10–61 mg/Kg) were evaluated. A multivariate data analysis methodology was used based on cluster and discriminant analysis. The analysis of twenty-three physical–chemical variables of the soils suggested four clusters of soils characterised by deficiencies and excess elements that must be corrected to improve the yield and quality of agricultural production. Moreover, the multivariate analysis of the metal composition of soil samples from the second and third campaigns, before and after the rainy season, suggested five clusters with a pristine composition and different metal pollutant compositions and concentrations. The information obtained in this study allows for the scientific comprehension of agricultural soil quality, which is crucial for designing agronomic and environmental corrective measures to improve food quality and quantity in the Manica and Sussundenga districts and ensure environmental, social, and economic sustainability. Full article
Show Figures

Figure 1

20 pages, 3030 KiB  
Article
Street Trees’ Obstruction of Retail Signage and Retail Rent: An Exploratory Scene Parsing Street View Analysis of Seoul’s Commercial Districts
by Minkyu Park, Junyoung Wang, Beomgu Yim, Doyoung Park and Jaekyung Lee
Sustainability 2025, 17(15), 6934; https://doi.org/10.3390/su17156934 - 30 Jul 2025
Viewed by 243
Abstract
Urban greening initiatives, including the incorporation of street trees, have been widely recognized for a variety of environmental benefits. However, their economic impact on retail, in particular, the impact of street trees on the visibility of signs, has been underexplored. Street trees can [...] Read more.
Urban greening initiatives, including the incorporation of street trees, have been widely recognized for a variety of environmental benefits. However, their economic impact on retail, in particular, the impact of street trees on the visibility of signs, has been underexplored. Street trees can obscure retail signs, potentially reducing customer engagement and discouraging retailers from paying higher rents for such locations. This paper investigates how the blocking of retail signage by street trees affects monthly rent in developed commercial districts in Seoul. It identifies, through Google Street View and state-of-the-art deep-learning-based semantic segmentation methods, environmental elements such as street trees, sidewalks, and buildings; quantifies their proportions; and analyzes their impact on rent using OLS regression, controlling for socio-economic variables. The results reveal that rents significantly diminish when street trees blocking views of retail signs increase. Our findings require more nuanced consideration by planners and policymakers in balancing both environmental and economic demands toward sustainable street design and planning. Full article
Show Figures

Figure 1

19 pages, 10978 KiB  
Article
Identification of Fungi Causing Root Rot in Oregano Crops in Southern Peru: Morphological and Molecular Analysis
by Rubí Adelin Quispe-Mamani, Liduvina Sulca-Quispe, Wilson Huanca-Mamani, Mirna G. Garcia-Castillo, Patricio Muñoz-Torres and German Sepúlveda-Chavera
Pathogens 2025, 14(8), 746; https://doi.org/10.3390/pathogens14080746 - 29 Jul 2025
Viewed by 534
Abstract
Oregano (Origanum vulgare) cultivation is of great economic importance in Peru. Tacna stands out as its main producer. However, the presence of phytopathogenic fungi represents a challenge for its production. This study aimed to characterize both the morphological and molecular levels [...] Read more.
Oregano (Origanum vulgare) cultivation is of great economic importance in Peru. Tacna stands out as its main producer. However, the presence of phytopathogenic fungi represents a challenge for its production. This study aimed to characterize both the morphological and molecular levels of the causal agent of crown and root rot in a crop field in the Camilaca district, Candarave, Tacna. To this end, systematic sampling was carried out using the five-gold method, collecting plants with typical symptoms. Fungi were isolated from diseased roots and characterized using macroscopic and microscopic morphological analysis as well as sequencing and multilocus phylogenetic analysis (ITS, 28S, HIS3, TEF1, TUB2). In addition, pathogenicity tests were performed on healthy plants to confirm the infectivity of the isolates. The results demonstrated that root rot was caused by a complex of phytopathogenic fungi through phylogenetic analysis of Dactylonectria torresensis, Fusarium oxysporum, F. iranicum, and F. redolens. These findings represent the first report of these species as causal agents of oregano root rot in Peru, highlighting the need for integrated management strategies that reduce the economic impact of these diseases and contribute to the sustainability of the crop in key producing regions such as Tacna. Full article
Show Figures

Figure 1

26 pages, 3356 KiB  
Article
Integrating Urban Factors as Predictors of Last-Mile Demand Patterns: A Spatial Analysis in Thessaloniki
by Dimos Touloumidis, Michael Madas, Panagiotis Kanellopoulos and Georgia Ayfantopoulou
Urban Sci. 2025, 9(8), 293; https://doi.org/10.3390/urbansci9080293 - 29 Jul 2025
Viewed by 241
Abstract
While the explosive growth in e-commerce stresses urban logistics systems, city planners lack of fine-grained data in order to anticipate and manage the resulting freight flows. Using a three-stage analytical approach combining descriptive zonal statistics, hotspot analysis and different regression modeling from univariate [...] Read more.
While the explosive growth in e-commerce stresses urban logistics systems, city planners lack of fine-grained data in order to anticipate and manage the resulting freight flows. Using a three-stage analytical approach combining descriptive zonal statistics, hotspot analysis and different regression modeling from univariate to geographically weighted regression, this study integrates one year of parcel deliveries from a leading courier with open spatial layers of land-use zoning, census population, mobile-signal activity and household income to model last-mile demand across different land use types. A baseline linear regression shows that residential population alone accounts for roughly 30% of the variance in annual parcel volumes (2.5–3.0 deliveries per resident) while adding daytime workforce and income increases the prediction accuracy to 39%. In a similar approach where coefficients vary geographically with Geographically Weighted Regression to capture the local heterogeneity achieves a significant raise of the overall R2 to 0.54 and surpassing 0.70 in residential and institutional districts. Hot-spot analysis reveals a highly fragmented pattern where fewer than 5% of blocks generate more than 8.5% of all deliveries with no apparent correlation to the broaden land-use classes. Commercial and administrative areas exhibit the greatest intensity (1149 deliveries per ha) yet remain the hardest to explain (global R2 = 0.21) underscoring the importance of additional variables such as retail mix, street-network design and tourism flows. Through this approach, the calibrated models can be used to predict city-wide last-mile demand using only public inputs and offers a transferable, privacy-preserving template for evidence-based freight planning. By pinpointing the location and the land uses where demand concentrates, it supports targeted interventions such as micro-depots, locker allocation and dynamic curb-space management towards more sustainable and resilient urban-logistics networks. Full article
Show Figures

Figure 1

19 pages, 775 KiB  
Article
Optimization of Mining Sequence for Ion-Adsorbed Rare Earth Mining Districts Incorporating Environmental Costs
by Lu Yi, Yi Zeng and Minggui Zheng
Sustainability 2025, 17(15), 6871; https://doi.org/10.3390/su17156871 - 29 Jul 2025
Viewed by 158
Abstract
The mining sequence of ionic rare earth mineral mining districts is related to the effective utilization of rare earth mineral resources and the protection of ecological environment. This study establishes an optimization model for the mining sequence of ion-adsorption rare earth mining districts [...] Read more.
The mining sequence of ionic rare earth mineral mining districts is related to the effective utilization of rare earth mineral resources and the protection of ecological environment. This study establishes an optimization model for the mining sequence of ion-adsorption rare earth mining districts that incorporates environmental costs, using the net present value (NPV) of the mining district and the net present value of environmental costs (CE) as objective functions. The model is applied to optimize the mining sequence of Mining District L. The results demonstrate that (1) Four algorithms, namely NSGA-II, NSGA-III, IBEA, and MOEA/D, were selected for comparison. The analysis based on the distribution of solutions, hypervolume values (HV), and computational time revealed that the IBEA exhibited superior performance. (2) The IBEA was employed to solve the multi-objective optimization problem, yielding a set of 30 optimal solutions. Different NPVs corresponded to different CE values, with the CE value increasing correspondingly as the NPV increased. (3) The weighted method was employed to transform the multi-objective optimization problem into a single-objective formulation. Using a genetic algorithm (GA), the optimal solution yielded a decision variable sequence for mining order as [2, 5, 8, 4, 1, 9, 6, 7, 3, 10, 11], with the net present value (NPV) of mining district profits reaching CNY 76,640.65 million and the environmental cost NPV amounting to CNY 19,469.18 million. Compared with the mining sequence optimization scheme that did not consider CE, although the NPV decreased by CNY 3.3266 million, the CE was reduced by CNY 10.6993 million. The mining sequence optimization model with environmental costs constructed in this paper provides a scientific decision-making basis for mining enterprises to consider the mining sequence in mining districts, minimize the damage to the ecological environment, and promote the coordinated progress of resource development and sustainable development. Full article
Show Figures

Figure 1

Back to TopTop