Transforming toward a circular economy (CE) is a viable strategy for achieving sustainable logistics systems. However, it is still unclear how this transformation should be approached because there is limited knowledge in this context. This study aims to explore how the logistics sector incorporates sustainability practices toward CE. To achieve this aim, we addressed the research questions of (RQ1) what sustainability practices are used by the logistics sector and (RQ2) how these practices contribute to transforming the logistics sector into CE. We used a qualitative approach to address these questions by interviewing 14 logistics service providers. Interview transcripts were analyzed by using coding, categorizing, and finding relationships among the concepts identified from the literature following the Gioia method. We identified 47 sustainable logistics practices under nine categories from three key themes: environmental preservation, firm's dynamic capabilities, and social well‐being. We used the natural resource‐based view, dynamic capabilities, and social well‐being theories to identify the key themes. These theories contributed to the existing knowledge on CE strategies from the aspects of environmental, economic, and social value in transforming the logistics sector into CE. We built three propositions based on the findings and the propositions highlight that economic value creation is the core benefit followed by environmental and social value creation in the CE transformation. The identified three themes will provide a holistic approach for implementing CE within the logistics sector.

There are several methods available for modeling sustainable supply chain and logistics (SSCL) issues. Multi-objective optimization (MOO) has been a widely used method in SSCL modeling (SSCLM), nonetheless selecting a suitable optimization technique and solution method is still of interest as model performance is highly dependent on decision-making variables of the model development process. This study provides insights from the analysis of 95 scholarly articles to identify research gaps in the MOO for SSCLM and to assist decision-makers in selecting suitable MOO techniques and solution methods. The results of the analysis indicate that economic and environmental aspects of sustainability are the main context of SSCLM, where the social aspect is still limited. More SSCLMs for sourcing, distribution, and transportation phases of the supply chain are required. Additionally, more sophisticated techniques and solution methods, including hybrid metaheuristics approaches, are needed in SSCLM.

Purpose: As a consequence of rapid urbanisation and globalisation, cities have become the engines of population and economic growth. Hence, natural resources in and around the cities have been exposed to externalities of urban development processes. This paper introduces a new sustainability assessment approach that is tested in a pilot study. The paper aims to assist policy‐makers and planners investigating the impacts of development on environmental systems, and produce effective policies for sustainable urban development.Design/methodology/approach: The paper introduces an indicator‐based indexing model entitled “Indexing Model for the Assessment of Sustainable Urban Ecosystems” (ASSURE). The ASSURE indexing model produces a set of micro‐level environmental sustainability indices that is aimed to be used in the evaluation and monitoring of the interaction between human activities and urban ecosystems. The model is an innovative approach designed to assess the resilience of ecosystems towards impacts of current development plans and the results serve as a guide for policy‐makers to take actions towards achieving sustainability.Findings: The indexing model has been tested in a pilot case study within the Gold Coast City, Queensland, Australia. This paper presents the methodology of the model and outlines the preliminary findings of the pilot study. The paper concludes with a discussion on the findings and recommendations put forward for future development and implementation of the model.Originality/value: Presently, there is a few sustainability indices developed to measure the sustainability at local, regional, national and international levels. However, due to challenges in data collection difficulties and availability of local data, there is no effective assessment model at the micro‐level that the assessment of urban ecosystem sustainability accurately. The model introduced in this paper fills this gap by focusing on parcel‐scale and benchmarking the environmental performance in micro‐level.

Municipal wastewaters contain a multitude of organic compounds derived from domestic and industrial sources including active components of pharmaceutical a

Solids are widely identified as a carrier of harmful pollutants in stormwater runoff exerting a significant risk to receiving waters. This paper outlines the findings of an in-depth investigation on heavy metal adsorption to solids surfaces. Pollutant build-up samples collected from 16 road sites in residential, industrial, and commercial land uses were separated into four particle size ranges and analyzed for a range of physicochemical parameters and nine heavy metals including Iron (Fe), Aluminum (Al), Lead (Pb), Zinc (Zn), Cadmium (Cd), Chromium (Cr), Manganese (Mn), Nickel (Ni), and Copper (Cu). High specific surface area (SSA) and total organic carbon (TOC) content in finer particle size ranges were noted, thus confirming strong correlations with heavy metals. On the basis of their physicochemical characteristics, two different types of solids originating from traffic and soil sources were identified. Solids generated by traffic were associated with high loads of heavy metals, such as Cd and ...