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The purpose of this study was to explore strategies used by developers of master-planned housing development projects in Victoria, Australia, for obtaining certification under the Urban Development Institute of Australia’s (UDIA) EnviroDevelopment (ED) sustainable development certification programme. To be awarded ED certification, a development must demonstrate that it meets the assessment criteria within at least four of the six ED “leaves”. These leaves relate to its performance in terms of energy, water, materials, waste, community and ecosystems. This study explored how developers make choices regarding sustainability features they build into the planning, design and management of their developments to gain the leaves needed for ED certification. Having this certification is valued by developers as it can be used to demonstrate the sustainability credentials of their developments to potential house buyers, the validity of which is backed up by a trusted independent non-profit organisation (UDIA).

The study sought to quantify the preferential weightings of nine developers in selecting ED “leaves” and the strategies they use for meeting the assessment criteria needed to obtain selected ED leaves. This was done using a novel data collection and analysis method, the analytical hierarchical process (AHP), which relies on respondents, in this case, developers of ED certified development projects, making pairwise comparisons between choices of different development factors associated with the different ED “leaves”.

The most highly preferred ED leaves were found to be community, energy and ecosystems. “Community facilities” and “on-site transportation” were the two most highly weighted factors associated with the community leaf. Energy, the next most preferred leaf, was most highly weighted on “saving on operational costs” for the consumers (home buyers). Here consumer demand factors seem to be driving preferences. The ecology leaf was the next most preferred, with “existing site conditions” being the most highly weighted factor for this leaf. For sites that already contain significant areas of indigenous habitat, such as wetlands, selecting this leaf would seem to be an attractive, and potentially lower cost, option. Existing ecologically significant natural areas that are preserved, and where necessary enhanced, can be used for marketing purposes and serve in fulfilling planning open-space contribution requirements. The developers were more indifferent to the water, waste and materials leaves; however, the water leaf was rated slightly higher than the other two and was most strongly associated with “recycled water” and opportunities for “water conservation”, another example of demand factors driving preferences.

The results of this study reveal the preferences of a small sample of developers in terms of how they weigh different factors in making decisions about acquiring sustainability certification for residential master-planned development projects through the UDIA’S ED programme. The findings provide insight into the types of decisions developers make in the process of seeking ED certification, which includes considerations of site characteristics, costs, predicted effectiveness of different interventions and usefulness for marketing and other factors in terms of which ED leaves to pursue and how to acquire them to gain ED certification. The study also tested the AHP method as a methodological tool for addressing this question. Modifications in how data are collected using the on-line survey can be made to allow the method to be more easily used with larger respondent sample sizes. Collection of more focussed data elicited from respondents with specific areas of expertise, for example, specialists in energy, water, landscape architecture and planning, ecology and other relevant areas of knowledge, should also been considered.

The purpose of this study is to evaluate and enhance sustainable manufacturing practices across various industries, focusing on environmental, economic and social dimensions, to promote a comprehensive understanding and implementation of sustainability, thereby improving overall industry performance and fostering long-term ecological and economic health.

The study uses multi-criteria decision-making-multivariate analysis technique to examine sustainable manufacturing practices (SMPs) in the Indian manufacturing sector. It identifies 11 SMP criteria through literature review and expert recommendations. Data are collected through questionnaires, expert committees and interviews. The study focuses on four key industries: automobile, steel, textile and plastic. Techniques like principal component analysis (PCA), technique for order preference by similarity to ideal solution (TOPSIS) and complex proportional assessment (COPRAS) are used to rank and assess performance.

The Indian automobile industry has shown the most effective SMPs compared to steel, textile and plastic sectors. The automobile sector is the benchmark for sustainable measures, emphasizing the importance of green practices for environmental, social and economic performance. Recommendations extend beyond the automobile sector to cement, electronics and construction.

The research emphasizes the importance of SMPs across various industries, focusing on economic, environmental and social considerations. It advocates for a holistic approach that enhances resource efficiency and minimizes ecological footprint.

The study uses ranking methods like PCA-integrated TOPSIS and COPRAS to evaluate performance in different industries, focusing on the benchmarked automobile sector. The research offers valuable insights and advocates for the widespread adoption of sustainable policies beyond the studied sectors.

The purpose of this paper is to find the niche segmentation of green consumers as a solution to psychographic or demographic predicament. Age cohort and generational cohort (Gen Y and Gen Z) of young consumers are studied for individualization and customization.

Age cohorts (Gen Z and Gen Y customers) have their unique needs. Both Gen Y (1981-1995) and Gen Z (post-1995) belong to the young consumer segment in the age group of 20-30 years but their generational cohorts are different. Strategic marketing advocates both generational marketing based on age cohorts and segmented marketing for young consumers. Strategic marketing faces cross-road between youth segmentation and generational cohort (Gen Z and Gen Y) due to intersection between the two during the 20-30 age group. Primary data using the ecological conscious consumer behavior (ECCB) scale was collected and analyzed for understanding the individual and relative importance of psychographic and demographic factors in influencing green behavior. The traditional youth segment is sliced into four sub-groups (Young Nest 1-4), and their interaction effect with post hoc analysis was done for the identification of sources of difference between different age cohorts. The findings of the study were compared with previous studies and unique contributions of this study were identified.

The findings indicate multiple niche young segments with demographic as the primary criterion and psychographic as the building block. Niche level and individual level segments emerge due to the interaction of various factors within a given age cohort. The findings confirm the identity development process which considered age as an important factor that affects varying choices throughout life from adolescence to adulthood.

The findings of this study may be used for effective targeting and positioning strategy of green marketing. In the time of analytics, age cohorts and generational cohort of young consumers can be approached differently for yielding better environmental results. The magnified niche level segmentation of young consumers may be used to develop individualized and customized promotions for young customers in Young Nest 1-4 for an enhanced ECCB.

Previous studies have focused more on consumer characteristics (demographic or psychographic) and their relative importance but niche level segmentation within given demographic segment was not attempted before. This study is unique in offering microscopic analysis of age cohorts of young consumers (Young Nest 1-4) and their interaction with other demographic variables (gender and income) for niche level segmentation.

This study aims to find the best location for constructing green energy facilities in India and reducing CO₂ emissions. Incorporating green energy is a priority for many countries under the Paris Agreement. This task is challenging due to factors that affect implementation, and making the wrong decision wastes resources. India’s goals are net-zero emissions by 2070 and 50% renewable electricity by 2030. Other developing nations should emulate India’s renewable energy strategy. India ranks fourth in renewable energy and wind power, and fifth in solar power capacity. This research aims to identify the best locations in India for implementing green energy projects.

To identify the optimal green energy implementation sites in India, this research uses the hybrid multicriteria decision analysis (MCDA) in an uncertain environment. This research uses the Delphi method to identify the most suitable green energy implementation sites in India. It adapts the elements for this investigation. In addition, the utilization of the Fermatean fuzzy weighted aggregated sum product assessment technique is implemented to effectively prioritize the factors that impact the selection of these sites. This study used the MEREC method (method based on the removal effects of criteria) to identify the most suitable areas in India for implementing green energy. The highest accuracy is attained through the amalgamation of these hybrid methods.

Following the computation data by hybrid MCDA in uncertainty environment, NP Kunta in Andhra Pradesh emerges as the recommended green energy site among the 11 considered. Also among the factors political strategies and objectives hold the highest priority among them.

This study is pioneering in its efforts to provide a comprehensive perspective on the development and management of green energy operations in India. The study proves advantageous for diverse sites in the successful adoption and management of green energy. The study is additionally valuable in informing policy development aimed at promoting the use of green energy by employees through the utilization of MCDA methods in uncertain environments.

To subscribe: All commands must be sent to LISTSERV@EMAIL.RUTGERS.EDULots of enthusiasm is emerging among Comurbanists for urban biking, so I have to pass on a new table I am refining on amenities in cities (county data shown here). It shows that NYC, LA and some other urban locations rank very high nationally, and above many suburban and smaller population counties, even in bike events (for mountain and road bikes).

Fiber optics has the capability to dramatically increase telecommunications capability and lower costs. This article examines fiber optic technology, explains some of the key terminology, and speculates about the way fiber optics will change our world.

Nowadays, companies have required new alternatives and strategies to handle environmental sustainability difficulties, primarily as ecological and social awareness has grown. In this context, the aim is to determine the green transportation indicators in companies with corporate identity and logistics activities at the international level in Giresun, Ordu, Gümüshane, Artvin, Rize, and Trabzon in the Eastern Black Sea Region in Turkey. At the same time, the study contributes to providing an effective and applicable solution to decision-making problems involving the assessment of green transportation indicators and smart network strategies in the logistics sector, which is a critical sector for countries. The purpose of this paper is to address these issues.

This study aims to propose a model for the selection of smart network strategy and to determine the criteria weights used in green transportation indicators, and establish an ideal smart network strategy. In achieving the outlined goals of the study, the authors believe that the model proposed in the study will draw the focus to green logistics which will aid the environmental, economic and social efforts of businesses and governments through the provision of efficient use of scarce resources, which will, in turn, ensure that we leave a sustainable environment for future generations and businesses enjoy a competitive advantage. At the same time, different smart network strategies and green transportation indicators in companies show the success rate of social, economic and environmental indicators in green logistics practices. In addition to providing innovative, reliable and sustainable transportation systems, smart network strategies are critical for businesses to create cost advantages. Through the green transportation indicators and smart network strategies selection model outlined in this study, it is clear that the contribution will not only be limited to businesses, as the society and governments will also benefit from the important indicators on sustainability, as well as the protection of the environment and nature.

According to the findings, “economic indicators” is the essential green transportation indicator in logistics companies with a corporate identity and worldwide transportation operations. Besides, the “mixed access model strategy” is the most appropriate smart network strategy in logistics firms with corporate identity and worldwide transportation activities. Currently, it is possible to assume that logistics organizations prefer to profit from all smart network strategies in terms of cost optimization and competitiveness rather than from just one. The study, on the other hand, which is a road map that will help sustainability practices in the logistics sector due to green transportation, also examines the similarities and differences of green transportation practices in companies in the relevant sector and to what extent they can be reflected. As a result, the study provides a practical road map for selecting green transport indicators and a smart network strategy process for the logistics industry.

This study examined logistics companies with a corporate identity and international transportation activities in provinces in the Eastern Black Sea Region such as Ordu, Giresun, Trabzon, Rize, Artvin and Gümüshane. Novel picture fuzzy level based weight assessment (PF-LBWA) and picture fuzzy combined compromise solution (PF-CoCoSo) methods are developed to solve the decision-making problem.

To improve the problems as the heavy burden of sewage treatment and environmental pollution caused by the traditional sodium hydrosulfite reduction dyeing of indigo, this study aims to carry out the direct electrochemical reduction dyeing for indigo with the eco-friendly Cu(II)/sodium borohydride reduction system under normal temperature and pressure conditions.

The electrochemical behavior of Cu(II)/sodium borohydride reduction system was investigated by cyclic voltammetry. And, the dyeing performance of the Cu(II)/sodium borohydride reduction system was developed by optimizing the concentration of copper sulfate in the anode electrolyte, applied voltage and reduction time via single-factor and orthogonal integrated analysis.

The dyeing performance of the Cu(II)/sodium borohydride reduction system is superior to that of the traditional reduction dyeing with sodium hydrosulfite. In the case of the optimized condition, the soaping fastness and dry/wet rubbing fastness of the dyed fabric in the two reduction dyeing processes were basically comparable, the K/S value of electrocatalytic reduction of indigo by Cu(II)/NaBH4 is 11.81, which is higher than that obtained by traditional sodium hydrosulfite reduction dyeing of indigo.

The innovative electrocatalytic reduction system applied herein uses sodium borohydride as the hydrogen source combined with Cu(II) complex as the catalyst, which can serve as a medium for electron transfer and active the dye molecule to make it easier to be reduced. The electrochemical dyeing strategy presented here provides a new idea to improve the reduction dyeing performance of indigo by sodium borohydride.

Under this heading are published regularly abstracts of all Reports and Memoranda of the Aeronautical Research Committee, Reports and Technical Notes of the U.S. National Advisory Committee for Aeronautics and publications of other similar research bodies as issued

The purpose of this article is to examine the nature and type of methods used in futures studies and foresight work which are explicitly concerned with creating “forward views” and/or “images of the future” (“prospective” methods).

A new analytical technique, “mode‐level analysis”, is introduced and described, based on a classification of “modes” of futures thinking and levels of “depth” of interpretive frameworks. By choosing both a set of thinking modes and a series of interpretive levels as a basis, prospective methods may be analyzed in terms of which mode(s) and what level(s) they operate with or at.

Two modes of thinking and five levels of depth are chosen for this analysis. The resulting schema is used to classify such methods as: wildcards, forecasting, “trend breaks”, visioning, backcasting, and alternative histories and counterfactuals. An analysis is also carried out on the method of “scenarios”, revealing a variety of different approaches operating at multiple levels of depth. The historical development of prospective methods is also discussed.

Mode‐level analysis can be generalized to any number of modes or levels, depending on the application, context or objectives of the analyst. It may be used by academics for interest's sake and for teaching students, and by practitioners as both a design tool and a diagnostic one.

This paper introduces a new technique for classifying prospective methods, and may help lead to ideas for the creation of new methods.