Sustainability

Blue carbon ecosystem (BCE) initiatives in the Coral Triangle Region (CTR) are increasing due to their amplified recognition in mitigating global climate change. Although transdisciplinary approaches in the “blue carbon” discourse and collaborative actions are gaining momentum in the international and national arenas, more work is still needed at the local level. The study pursues how BCE initiatives permeate through the local communities in the Philippines and Indonesia, as part of CTR. Using perception surveys, the coastal residents from Busuanga, Philippines, and Karimunjawa, Indonesia were interviewed on their awareness, utilization, perceived threats, and management strategies for BCEs. Potential factors affecting residents’ perceptions were explored using multivariate regression and correlation analyses. Also, a comparative analysis was done to determine distinctions and commonalities in perceptions as influenced by site-specific scenarios. Results show that, despite respondents presenting relatively high awareness of BCE services, levels of utilization are low with 42.9–92.9% and 23.4–85.1% respondents in Busuanga and Karimunjawa, respectively, not directly utilizing BCE resources. Regression analysis showed that respondents’ occupation significantly influenced their utilization rate and observed opposite correlations in Busuanga (positive) and Karimunjawa (negative). Perceived threats are found to be driven by personal experiences—occurrence of natural disasters in Busuanga whereas discerned anthropogenic activities (i.e., land-use conversion) in Karimunjawa. Meanwhile, recognized management strategies are influenced by the strong presence of relevant agencies like non-government and people’s organizations in Busuanga and the local government in Karimunjawa. These results can be translated as useful metrics in contextualizing and/or enhancing BCE management plans specifically in strategizing advocacy campaigns and engagement of local stakeholders across the CTR. Full article

Electrochemical oxidation technology is an effective technique to treat high-concentration wastewater, which can directly oxidize refractory pollutants into simple inorganic compounds such as H₂O and CO₂. In this work, two-dimensionally stable anodes, Ti/RuO₂-IrO₂-SnO₂, have been developed in order to degrade organic pollutants from pharmaceutical wastewater. Characterization by scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), and X-ray diffraction (XRD) showed that the oxide coating was successfully fabricated on the Ti plate surface. Electrocatalytic oxidation conditions of high concentration pharmaceutical wastewater was discussed and optimized, and the best results showed that the COD removal rate was 95.92% with the energy consumption was 58.09 kW·h/kgCOD under the electrode distance of 3 cm, current density of 8 mA/cm², initial pH of 2, and air flow of 18 L/min. Full article

The generation of food loss and waste (FLW) is a global problem for worldwide politics. About one-third of the food produced ends up in the rubbish before it is consumed. For this reason, it is essential to design and implement new strategies along the food supply chain (FSC) with the aim of reducing this FLW at each stage. However, not only mass quantification should be considered, but also economic and nutritional performance. The novelty of this study is the definition of a methodology based on the “distance to target” approach by means of multi-objective optimization to evaluate the economic and nutritional cost produced by this FLW. This methodology was applied to the Spanish food basket in 2015. The results revealed that 80% of the total FLW generated in economic and nutritional terms is concentrated in the agricultural production (53.3%) and consumption (26.3%) stages. In the first stages of the FSC, fruits (D_n eq.= 0.7), cereals (D_n eq.= 0.61), and vegetables (D_n eq.= 0.57) were the furthest from the distance target due to the great amount of FLW generated. Moreover, according to the normalized weighted distances obtained from the minimization of economic and nutritional cost, pulses (D_n eq. = 0.05–0.03) and eggs (D_n eq. = 0.02) were the more efficient food categories. The methodology described in this study proposes a single index to quantify the economic and nutritional cost of different food categories to facilitate the decision-making process. This index makes possible the definition of reduction strategies focused on specific food categories and depending on the FSC stage. Full article

Municipal organic wastes could be exploited as fertilizers, having been given the ability to suppress plant diseases by the inoculation of the waste with certain fungi in the composting process. Our aim was to develop a novel fertilizer using composting in combination with fungi associated with mangrove forests. Nine fungal species were isolated from a mangrove forest habitat and screened for their activity against five phytopathogenic fungi, their plant-growth promotion ability, and their phosphate solubilization ability. Two fungal isolates, Penicillium vinaceum and Eupenicillium hirayama, were inoculated into organic waste before the composting experiment. After 90 days, the physico-chemical properties of the compost (color, moisture, pH, C:N ratio and cation exchange capacity (CEC)) indicated the maturity of the compost. The C:N ratio decreased and the CEC value increased most in the compost with the inoculum of both mangrove fungi. The vegetable plants grown in the mangrove fungi-inoculated composts had a higher vigor index than those grown in the control compost. The seeds collected from the plants grown in the fungi-inoculated composts had higher disease defense ability than the seeds collected from the control compost. The results indicated that the properties of the fungi shown in vitro (antagonistic and plant-growth promotion) remained in the mature compost. The seeds of the plants acquired disease defense ability, which is a remarkable observation that is useful in sustainable agriculture. Full article

The benefits or harms of external and internal consequences for the viability of ecosystems are revealed through the impact on the quality of human life. The issues of assessing these benefits or harms are significant for the whole society and are therefore analyzed from both theoretical and practical perspectives. The article seeks to theoretically examine the coherence between humans and ecosystems, ensuring the social and economic well-being of present and future generations in the context of cultural ecosystem services (CES). As well, the article seeks to present the empirical research, carried out on the possibilities of adapting human activities to CES in the specific area, i.e., coastal-rural area, evaluating the past, present and future CES potential in the Lithuanian coastal zone, Nemunas Delta and Curonian Lagoon in Lithuania. Elderships located near the Curonian Lagoon or within the protected area of the Nemunas Delta Regional Park were selected for the study. For this purpose, the empirical study involved representatives of different (public and private) sectors and stakeholders. The research was carried out in local tourism cultural centers and elderships with four group respondents (tourists, farmers, entrepreneurs, eldership employees). The research revealed the past and the current situation of CES potential and showed the possible CES potential future development directions. The article described the opportunities for the rural population (a potential supply of cultural ecosystems) to achieve diversification of economic activities and the needs of tourists (a potential demand for cultural ecosystems) to achieve service differentiation. Therefore, the recommendations have been formulated on how to exploit future CES of a specific territory by “employing” available natural resources, i.e., the ecosystems. Full article

Strategic environmental assessment (SEA) can support decision-makers in constructing more sustainable plans, programs, and policies (PPPs). To be more coherent with new frontiers of sustainable cities, PPPs need to include conservation objectives and to increase ecosystem service (ES) strategies. The ES concept is not intrinsic to the SEA process; therefore, it is necessary to develop an approach and methodology to include it. In this paper, we propose a methodology to integrate the concept of ecosystem services in all phases of the SEA process for a sub-urban plan, including the design of mitigation measures. The case study is represented by a peri-urban development plan in the municipality of Gallipoli in South Italy, characterized by a strong tourism economy and valuable agro-ecosystems. The analysis shows the priority ecosystem services that are selected considering the sustainable development and environmental goals, the context of referment, and the aims of the peri-urban plan. After, we highlight the potential ecosystem services developed considering the design of mitigation actions like green infrastructure, which could be implemented in the peri-urban plan. The capacity to develop green infrastructure in SEA processes can configure the SEA as a tool for ecological urban design that is integrated with urban planning. This requires the ability to transfer ecological and planning theories into practical actions and the capacity of different disciplines to work in a transdisciplinary approach. Full article

Operationalization of sustainability assessments is necessary to promote the sustainable development of agroecosystems. However, primarily, focus has been on the development of sustainability assessment tools with less attention on whether these are suitable for adoption and implementation in specific areas. This drawback could lead to inappropriate management guidance for agricultural practices. Hence, three extensively used models, i.e., the Driver–Pressure–State–Impact–Response (DPSIR) framework, ecological footprint (EF), and emergy analysis (EMA), were applied to quantify the sustainability performance of the agroecosystems in 27 cities in the Yangtze River Delta Urban Agglomeration (YRDUA), China, in 2016. The models were compared using the Pearson correlation analysis and natural break method, to determine a more adaptive method for agricultural sustainability assessments. The level of agricultural sustainable development of each city varied according to the methodology considered for its calculation. Compared with the EMA model, the DPSIR and EF models showed a better relationship (Pearson correlation coefficient of 0.71). The DPSIR model more accurately represented regional rankings of the agricultural sustainability at the municipality level due to its comprehensive consideration of multiple dimension factors and significance for policy making. However, each methodology has its own contribution depending on the study objectives. Hence, different models should be used for adequate determination of agricultural sustainable development at different regional scales; this would also enable better implementation of agricultural practices as well as policies in any given agricultural area for promoting the sustainable development of agroecosystems. Full article

As a result of an increasing demand for energy-efficient buildings with a better experience of user comfort, the built environment sector needs to consider the prediction of building energy performance, which during the design phase, is achieved when a building is handed over and used. There is, however, significant evidence that shows that buildings do not perform as anticipated. This discrepancy is commonly described as the ‘energy performance gap’. Building energy audit and post occupancy evaluation (POE) are among the most efficient processes to identify and reduce the energy performance gap and improve indoor environmental quality by observing, monitoring, and the documentation of in-use buildings’ operating performance. In this study, a case study of UAE university buildings’ energy audit, POE, and dynamic simulation were carried out to first, identify factors of the dynamic energy performance gap, and then to identify the utility of the strategy for reducing the gap. Furthermore, the building energy audit data and POE were applied in order to validate and calibrate a dynamic simulation model. This research demonstrated that the case study building’s systems were not operating as designed and almost a quarter of the cooling energy was wasted due to the fault of the building facility management of the mechanical systems. The more research findings were discussed in the paper. Full article

The importance of accurate lighting has been proven to be essential for good performance in all kinds of buildings, where most of the professional activities are carried out. National regulations and international standards dealing with indoor lighting establish the technical requirements of lighting installations to ensure the performance of their users. These requirements deal with illuminance on the working plane, uniformity, glare, color temperature of light and some other parameters. However, regulations and technical documents on indoor lighting are mainly referred to standard conditions that are sometimes far away from the reality. Hence, some installations can fulfill the technical requirements, whilst being uncomfortable for task development, impairing user’s performance and are oversized in terms of energy consumption. This work departs from a field study in highlighting the regulatory limitations in the matter of reflectance, to propose a quasi-Lambertian approach to real conditions in indoor workplaces with a special aim in educative environments. It consists of the introduction of “effective reflectance” coefficients for some key visual tasks and furniture carried out by users in certain typical positions and working planes. Based on this coefficient, it is proposed to implement a simple measurement and luminary programming methodology adapted to each particular workplace, especially in educational centers. The final target is to improve visual performance and save energy. Full article

The COVID-19 health emergency has imposed the need to limit and/or stop non-essential economic and commercial activities and movement of people. The objective of this work is to report an assessment of the change in vehicle flows and in air quality of a specific study area in the north of Italy, comparing the periods February–May 2020 and February–May 2019. Circulating vehicles have been measured at nine characteristic points of the local road network of the city of Reggio Emilia (Italy), while atmospheric pollutant concentrations have been analysed using data extracted from the regional air quality monitoring network. The results highlight a rapid decline in the number of vehicles circulating in 2020 (with values of up to −82%). This has contributed to a reduction in air concentrations of pollutants, in particular for NO₂ and CO (over 30% and over 22%, respectively). On the other hand, O₃ has increased (by about +13%), but this is expected. Finally, the particulate matter grew (about 30%), with a behaviour similar to the whole regional territory. The empirical findings of this study provide some indications and useful information to assist in understanding the effects of traffic blocking in urban areas on air quality. Full article

Food delivery services using drones have emerged, but there is not much research on it. Thus, this study was designed to examine how to form behavioral intentions based on the concept of expected benefits in the field of drone food delivery services. More specifically, this study proposed the five dimensions of expected benefits, such as compatibility, social influence, convenience, function, and emotion, have a positive influence on image. In addition, it was proposed that image has a positive influence on desire, which in turn positively affects behavioral intentions. Lastly, this study hypothesized the moderating role of gender in this process. To achieve this purpose, 343 responses were collected in South Korea. The data analysis results showed that five dimensions of expected benefits, such as compatibility, social influence, convenience, function, and emotion have a positive influence on image. In addition, the image aids to enhance desire, which in turn positively affects behavioral intentions. Lastly, gender moderated the relationship between desire and behavioral intentions. The important theoretical and practical implications of this study are discussed later in the paper. Full article

Dianchi Lake is the largest freshwater lake on the Yunnan–Guizhou Plateau near Kunming City, China. As one of the most polluted lakes in China, although billions of U.S. dollars have been spent trying to clean it up, water pollution and eutrophication are still a bottleneck for regional sustainable development. This research established an integrated approach for the evaluation of the coupling coordination degree to support future planning of the Dianchi Lake basin. Ten future scenarios for possible development directions of Dianchi Lake basin were designed to find the best balance between development and protection. Among these scenarios, a high protection–medium development scenario is the most suitable scenario for future development planning. To further improve the coordination degree, economic growth control and non-point source governance were the most effective and feasible approaches. Furthermore, a water quality model was used to verify the coordination degree. It was found that the high protection–medium development scenario can reach the water quality target in 2025. The coordination degree evaluation could be a practical link to help equilibrate the socio-economic development and environmental protection of the Dianchi Lake basin. Full article

Researchers and companies are paying attention to consumers’ sustainable consumption of clothing products. Clothing industry and fashion consumers have been criticized for a long time due to endless mass production and overconsumption. Despite the efforts of corporations to use sustainability as a marketing tool and an expanding literature exploring consumers’ response to such marketing, the definition of sustainable consumption of clothing products (SCCP) remains unclear. Academic works lack comprehensive discussions regarding SCCP in the perspective of consumers’ awareness and behavior. Furthermore, no widely accepted measurement tool of this concept exists. The validated measurement instrument will eventually help the diagnosing of the mental and behavior status of clothing consumers’ SCCP and further support to establish consumer guidance aimed at resolving sustainability issues related clothing consumption. This study aimed to conceptualize, develop and validate a scale to measure SCCP from the perspective of general clothing consumers. Literature review and interview were used to collect qualitative data for scale item generation. Then, surveys were conducted two times to acquire quantitative data from respondents to purify and validate the scale items. Content analysis, exploratory factor analysis and confirmatory factor analysis using MPlus were used to explore and predict the data. Based on reliability and validity check, the results are apparent that the scale shows good psychometric properties. Full article

The São Paulo Macro Metropolis (SPMM) is one of the richest and most inequitable regions of the Global South and is already experiencing the impacts of severe climate events. This study analyzes climate risk assessments and policy responses for this territory as well as its vulnerabilities. The Index of Vulnerability to Natural Disasters related to Droughts in the Context of Climate Change (IVDNS—acronym in Portuguese) was used to identify and select the most vulnerable municipalities in the SPMM. Following vulnerability analysis, the municipalities were subjected to risk analysis in the context of existing Brazilian legislation. The results indicate that, despite having positive capacities to respond to climate change, the analyzed municipalities are far from advancing from the status quo or taking the actions that are necessary to face future challenges in a climate emergency scenario. The results indicate that, despite being the most vulnerable to droughts and natural disasters, the cities analyzed are not the most vulnerable in the São Paulo Macro Metropolis from a socio-economic point of view. On the contrary, these are regions that could have a strong institutional capacity to respond to present and future challenges. Full article

Urban blight is not only an eyesore for city residents, but also a threat to health, psychological well-being, and safety. It not only represents substantial economic decline, but also spreads through urban space. As well as the loss of personal property value, urban blight also harms public interests in the public domain. This study finds that danger and age are the two main factors of urban blight. Ignoring these two factors causes housing prices to fall. The decline in population due to long-term economic stagnation and the exodus of residents and industries, coupled with the long-term decline in income and spending on maintenance of old houses, has led to major visual and physical economic blight. This investigation adopts the hedonic model to analyze the correspondence of house prices with urban blight, based on real estate prices and related township variables announced by the government in Taiwan in 2017, and applies the spatial regression model to investigate the direct and indirect effects of real estate prices. The following conclusions can be drawn from the analytical results. 1. The spatial lag model finds that urban blight has a spatial spillover effect. 2. The government must not disregard the blight, due to its detrimental effect on housing prices and spatial diffusion effect. 3. The factors that affect the blight are age of residents, age of buildings, poverty, and danger. Full article

Accessibility has attracted wide interest from urban planners and transportation engineers. It is an important indicator to support the development of sustainable policies for transportation systems in major events, such as the COVID-19 pandemic. Taxis are a vital travel mode in urban areas that provide door-to-door services for individuals to perform urban activities. This study, with taxi trajectory data, proposes an improved method to evaluate dynamic accessibility depending on traditional location-based measures. A new impedance function is introduced by taking characteristics of the taxi system into account, such as passenger waiting time and the taxi fare rule. An improved attraction function is formulated by considering dynamic availability intensity. Besides, we generate five accessibility scenarios containing different indicators to compare the variation of accessibility. A case study is conducted with the data from Shenzhen, China. The results show that the proposed method found reduced urban accessibility, but with a higher value in southern center areas during the evening peak period due to short passenger waiting time and high destination attractiveness. Each spatio-temporal indicator has an influence on the variation in accessibility. Full article

Partnering with the private sector is a key modality in development cooperation to achieve the Sustainable Development Goals (SDGs). Despite their increasing importance, such Public-Private Partnerships for Development (PPPD) experience major challenges in defining, assessing and reporting on their actual impact. This paper explores why, and how this can be improved. We engage in a qualitative synthesis review of academic, gray literature and evaluation reports of public-private programs of development agencies. We identify challenges, tensions and contradictions that affect a proper understanding and assessment of the impacts of such partnerships. The analysis shows that the main challenge in understanding and assessing impacts is the double governance logic that emerges in PPPD monitoring and evaluation (M&E). While M&E functions as an accountability and risk mitigation approach, it should also support collaborative characteristics of PPPDs such as trust and power-sharing, in order to enhance impactful PPPDs. Enhancing the impact of PPPDs for the SDGs requires bridging the divide between (a) result-based, upward accountability monitoring and evaluation approaches and (b) emerging learning, participatory and complexity-based approaches. The paper provides suggestions on how to navigate these governance tensions by using a paradoxical lens. Full article

This study aims to clarify the statistical causal relationship between the locations of urban facilities and forecasted population changes according to types of residential clusters in the Osaka Metropolitan Fringe areas. This paper’s background is the location optimization plan policy formulated by the Japanese MLIT (Ministry of Land, Infrastructure, Transport, and Tourism) in 2015. The methods combined urban ecological analysis, cohort analysis, and Bayesian network analysis. Using the Bayesian network analysis, the causal relationship between the forecasted population change ratio and the urban facility location was analyzed. The results suggest the location of urban facilities for each residential cluster that will prevent a rapid population decline in the future. Specifically, in the sprawl cluster, this study found that residential areas closer to medical facilities will sustain the future population, while in the old new-town cluster, this study found that residential areas closer to train stations will best sustain the future population. However, in the public housing cluster, residential areas more distant from regional resources will best sustain the future population. Therefore, it is worth considering different urban designs in the old new-town and public housing clusters, rather than the location optimization plan policy. Full article

The aim of this paper is to present a new decision support concept (DSC) related to the ever-growing problem of the maintenance of damaged asphalt pavements. In the process of defining a sustainable approach to resolving this problem, we found complexity in the different needs considering economic, social, and technical aspects. An additional contribution to the problem’s complexity was the many road sections that need to be ranked based on their need for maintenance. The priority ranking was based on the multicriteria Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) method and the Analytic Hierarchy Processing (AHP) method. The DSC implementation contained the inclusion of relevant stakeholders and the definition of goals through identification of several different criteria and their weights. This approach to criteria determination provided a final ranking list of spatial units for maintenance, satisfying the needs of all stakeholders. The DSC presented in this paper was tested in the city of Split for the most important roads needing maintenance of asphalt pavements. Full article