Existing techno-economic analyses of modern coal chemical technologies (MCCTs) neglect water constraints, which may underestimate the production cost of MCCTs and thus mislead investment activities. Considering this background, this study incorporated water scarcity and indirect water cost into...

Efforts to provide alternative resources and technologies for producing liquid fuel have recently been intensified. Different levels of dependence on oil imports and carbon prices have a significant impact on the composition of the cost-minimizing portfolio of technologies. Considering such...

Asset co-movement has attracted the increasing attention of researchers from traditional finance and emerging interdisciplinary disciplines. However, little is known about the consistency of market-wide co-movement proxies constructed from the two perspectives above. Employing Fama-French...

The availability of refuelling locations for alternative fuel vehicles (AFVs) is an important factor that drivers consider before adopting an AFV; thus, the layout of initial filling stations for AFVs will influence the adoption of AFVs. This paper presents a training system for optimising the...

The customized bus (CB) is a user-oriented, environment-friendly travel mode that provides flexible, demand-responsive service. During the eruption of COVID-19, more and more people have cut back on conventional public transport, which is crowded with people in narrow and enclosed spaces. While...

The resilience of the phosphorus (P) cycling network is critical to ecosystem functioning and human activities. Although P cycling pathways have been previously mapped, a knowledge gap remains in evaluating the P network’s ability to withstand shocks or disturbances. Applying principles of...

Shared mobility (SM) provides a feasible solution for reducing the number of private cars and alleviating urban traffic congestion. However, SM is not widely accepted in China’s mobility market. Based on a scenario choice experiment conducted in Beijing and Shanghai, we present two on-demand...

To achieve carbon emissions peak and neutrality, the structural adjustment of both the economy and energy system of a country is essential. In this study, a multi-objective optimization model based on the Input-Output approach is built to coordinate diverse policy targets vis-à-vis GDP growth,...

Protecting our environment while maintaining economic growth, requires a delicate balance among interlinked economic and environmental sustainable development policies. In this paper, we examine China’s economic industries including a fine-resolution electricity sector during 2020-2030, using...

The paper examines the potential of deep learning to produce decision support models from structured, tabular data. Considering the context of financial risk management, we develop a deep learning model for predicting whether individual spread traders are likely to secure profits from future...