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The purpose of this paper we present a case study where the Swedish planning support system Citylab is applied to a Chinese case in Changzhou's Tianning District.

China's planning system is a vertical system based on policy development on the national level, policies which are to be implemented on local level. There is a gap between the ambitious central policies and the implementations on local levels. China is now exporting its planning model to other developing countries which makes it urgent to show examples of other strategies including more horizontal planning involving the public. The planning system in Sweden is based on a much more horizontal process. Therefore, the authors try to learn from Sweden's vertical planning system in the urban development environment of China.

A key message for policy makers in China is that systems like Citylab can play an important role in developing practical and scalable examples of more sustainable city districts. The paper concludes that a barrier for local sustainability planning in China is still lack of effective communication between local actors including the public.

The authors exemplified Changzhou Tianning District's practical exploration, thus proving the adapted Citylab method's practical operability. Based on the common problems faced by eco-city development in developing countries, the method framework of Citylab is applicable to other developing countries, with strong room for deduction and development.

This paper aims to analyze how a tangram activity improved students’ abilities to explain sustainability, articulate a positive perception of sustainable design and relate sustainability with innovation in engineering design.

The concept of paradigm shift was introduced in the classroom by using a tangram activity to help students understand that sustainable design requires out-of-the-box thinking. Instructors from three institutions teaching various levels of sustainability courses to engineering majors used the activity to introduce sustainable design, then measured the understanding and appreciation of the concepts introduced through the tangram activity with pre- and post-activity surveys.

Findings from the study indicate that students’ perceptions of sustainability significantly improved due to the activity, without regard to the institution. The activity also significantly improved students understanding of the connection between sustainability and innovation, across all three institutions, across all majors and across all years of study except second-year students. Improving engineering students’ views on sustainability may lead, over time, to changes in the industry, in which environmental performance is incorporated into the engineering design process.

Active learning approaches are needed for affective-domain learning objectives in the sustainability field for students to learn the necessary attitudes, values and motivations to implement sustainability in engineering design. Simple, easily implemented active learning techniques, such as the tangram activity presented here, can be implemented across the curriculum or to the public to introduce the paradigm shift necessary with sustainable design.

This study explores how problem-based learning (PBL) programs can address Sustainable Development Goals (SDGs) via the higher education (HE) curriculum, teaching materials and relevant assessments, supporting learning at scale for HE institutions.

Employing SDGs and their indicators as the coding framework, our two-phase study evaluates the curriculum and teaching materials of seven PBL programs at a leading higher education institution (HEI). The first phase involved a content analysis to assess the degree of sustainability integration in 156 relevant courses. The second phase applied a semi-automated mapping protocol to analyze learning and teaching materials in 120 relevant courses.

The school aligns with 17 SDGs (100%), covering 94 indicators (55.62%). On average, each program within the school addresses over ten of these goals and incorporates more than 24 associated indicators. However, the study reveals an imbalance in the incorporation of SDGs, with some goals not yet deeply and comprehensively embedded in the curriculum. While there is a substantial focus on sustainability theories, the practical implications of SDGs in emerging countries, particularly through case studies and assessments, require significant enhancement.

Mapping SDGs allows HEIs to identify strengths and gaps in SDG integration, thereby improving the PBL approach to enhance student work readiness in sustainability-focused careers.

Through the lens of transformative learning theory, this study provides evidence of SDG integration into PBL curricula. It highlights a mapping methodology that enables HEIs to evaluate their sustainability readiness in curriculum, teaching materials and relevant assessments.

The purpose of this study is to identify the pathway that leads to cities to proceeding towards urban sustainability.

This study intends to propose a theoretical analysis on the city as sustainable community that drives urban development adopting a smart vision for urban growth.

Cities as sustainable urban communities develop smartness as a vision for change understanding and developing the potential offered by information technology reinforcing the community by shaping collaborative governance.

Cities using information technology as a source for urban sustainability develop smartness to evolve as smart communities following a managerial and organizational view towards sustainability as a source for continuous innovation and change within urban ecosystem.

Cities identify a sustainability-oriented and community-driven pathway as a vision for continuous change that helps to improve urban competitiveness, innovation and democracy ensuring high quality of life by strengthening the potential offered by technology-enabled and human-centred smartness.

Because of the anisotropy of the process and the variability in the quality of printed parts, finite element analysis is not directly applicable to recycled materials manufactured using fused filament fabrication. The purpose of this study is to investigate the numerical-experimental mechanical behavior modeling of the recycled polymer, that is, recyclable polyethylene terephthalate (rPET), manufactured by a deposition FFF process under compressive stresses for new sustainable designs.

In all, 42 test specimens were manufactured and analyzed according to the ASTM D695-15 standards. Eight numerical analyzes were performed on a real design manufactured with rPET using Young's compression modulus from the experimental tests. Finally, eight additional experimental tests under uniaxial compression loads were performed on the real sustainable design for validating its mechanical behavior versus computational numerical tests.

As a result of the experimental tests, rPET behaves linearly until it reaches the elastic limit, along each manufacturing axis. The results of this study confirmed the design's structural safety by the load scenario and operating boundary conditions. Experimental and numerical results show a difference of 0.001–0.024 mm, allowing for the rPET to be configured as isotropic in numerical simulation software without having to modify its material modeling equations.

The results obtained are of great help to industry, designers and researchers because they validate the use of recycled rPET for the ecological production of real-sustainable products using MEX technology under compressive stress and its configuration for numerical simulations. Major design companies are now using recycled plastic materials in their high-end designs.

Validation results have been presented on test specimens and real items, comparing experimental material configuration values with numerical results. Specifically, to the best of the authors’ knowledge, no industrial or scientific work has been conducted with rPET subjected to uniaxial compression loads for characterizing experimentally and numerically the material using these results for validating a real case of a sustainable industrial product.

This paper discusses logistics service providers' (LSPs’) energy efficiency initiatives for sustainable development, both from an evolutionary perspective and based on a framework consisting of actions, processes (i.e. at the operations interface) and services (i.e. at the customer interface).

Following a qualitative research design, semi-structured interviews were conducted with sustainability managers at LSPs and the data were analysed via inductive coding. Based on the results and the literature, the authors developed a maturity model for LSPs' transitions to environmental sustainability.

LSPs' sustainable development occurs via operational processes, services at the customer interface, and actions that support those processes and services. Energy efficiency efforts are characterised by process depth that helps LSPs to align with their customers' energy efficiency improvement processes. While services related to energy efficiency connect LSPs and their customers, actions in support vary depending on the logistics activities in which LSPs participate.

Further research is needed to test and verify the maturity model and to clarify the interdependency of its three dimensions.

By categorising energy efficiency initiatives and proposing a maturity model for LSPs' sustainable development via energy efficiency, the authors have developed a tool for logistics actors to assess their progress towards improved sustainability.

The paper contributes to the literature by providing a three-pillar framework to understand the sustainability transitions of LSPs through energy efficiency. Developing a maturity model using this framework also contributes to the literature with an approach to assess sustainability advancement in the logistics industry.

The purpose of this study is to extend the knowledge on sustainable organisational learning (OL) in sustainable companies.

Sustainability is examined from an OL perspective and was based on Edward’s integral cycle of learning. An in-depth analysis of the literature was carried out, and a list of OL characteristics, such as openness to new ideas and participative policymaking, were compiled. To identify which OL characteristics are used for sustainability, a multiple-case study was designed for sustainable companies operating in the food and beverage industry.

This study found a wide variety of sustainable practices, such as experimentation and information-sharing systems, related to learning processes, and learning leadership appears to be the least developed dimension. It was also found that sustainable companies learn through social rather than reflective learning, in relationships with internal and external stakeholders, and by concrete actions to implement environmental and social impacts.

This study is one of a few that explore sustainable OL and contributes to categorising OL characteristics that sustainable companies use to facilitate and support sustainability in the mid–long term.

This study applies the modified brand avoidance model to examine factors that influence sustainable fashion avoidance behaviour among millennial shoppers in South Africa.

A positivistic approach and a web-based online survey were employed to collect cross-sectional data from 423 millennial fashion shoppers. Standard multiple regression analysis was used to test proposed hypotheses.

Unmet expectations, materialism and symbolic incongruence emerged as major predictors of millennials' intention to avoid sustainable fashion. Sustainable fashion avoidance intention was found to have a positive effect on sustainable fashion avoidance behaviour.

This study relied on self-reported data collected from millennial shoppers. Future studies may improve the generalizability of this study's results by conducting a comparative study with other cohorts such as baby boomers and Generation X who espouse different shopping values. Future studies may benefit from the use of longitudinal data in order to understand how millennial shoppers relate to sustainable fashion as it evolves.

The results of this study suggest the importance of developing value propositions that align sustainable fashion with cultural, personality and symbolic cues valued by millennial shoppers. Consumer education on the benefits of sustainable fashion is recommended as a long-term behavioural change strategy.

The purchase behaviour of sustainable fashion should be encouraged as it enhances environmental sustainability including safeguarding the livelihoods of future generations.

This study contributes to literature on sustainable fashion avoidance behaviour. This is one of the pioneering studies to empirically examine the influence of unmet expectations, symbolic incongruence and ideological incompatibility in the context of an emerging market, such as South Africa.

Due to unceasing declination in environment, sustainable agro-food supply chains have become a topic of concern to business, government organizations and customers. The purpose of this study is to examine a problem associated with sustainable network design in context of Indian agro-food grain supply chain.

A mixed integer nonlinear programming (MINLP) model is suggested to apprehend the major complications related with two-echelon food grain supply chain along with sustainability aspects (carbon emissions). Genetic algorithm (GA) and quantum-based genetic algorithm (Q-GA), two meta-heuristic algorithms and LINGO 18 (traditional approach) are employed to establish the vehicle allocation and selection of orders set.

The model minimizes the total transportation cost and carbon emission tax in gathering food grains from farmers to the hubs and later to the selected demand points (warehouses). The simulated data are adopted to test and validate the suggested model. The computational experiments concede that the performance of LINGO is superior than meta-heuristic algorithms (GA and Q-GA) in terms of solution obtained, but there is trade-off with respect to computational time.

In literature, inadequate study has been perceived on defining environmental sustainable issues connected with agro-food supply chain from farmer to final distribution centers. A MINLP model has been formulated as practical scenario for central part of India that captures all the major complexities to make the system more efficient. This study is regulated to agro-food Indian industries.

The suggested network design problem is an innovative approach to design distribution systems from farmers to the hubs and later to the selected warehouses. This study considerably assists the organizations to design their distribution network more efficiently.