A hybrid big-data-based and tolerance-based method to estimate environmental benefits of electric bike sharing

<h2>Summary</h2> The passenger car sector accounts for nearly half of all transport-related emissions. Rapid decarbonization is therefore important but challenging, particularly in China, where, despite recent emission peak (by 2030) and carbon-neutrality (by 2060) pledges, car ownership and associated emissions are increasing. Successful emissions reduction will require a rapid transition of both technology (e.g., toward electrification) and demand (e.g., driving less). However, how to successfully deploy these twin strategies for optimal outcomes remains unclear. Here, we develop an integrated fleet dynamics model that considers emissions associated with car manufacturing, operation, end-of-life recycling, and energy supply alongside socioeconomic changes. Our analyses reveal that optimal short-term results will be achieved through demand-oriented strategies, which can reduce emissions by 22% and achieve 2030 emissions peak targets. Technology-oriented strategies are more optimal when deployed in the longer term and can result in emission reductions of 91%. A successfully coordinated strategy could reduce China's passenger cars CO<sub>2</sub> emissions to 0.05 Gt by 2050. 

Carbon neutrality of China’s passenger car sector requires coordinated short-term behavioral changes and long-term technological solutions

The effect of traffic status on dockless bicycle-sharing: Evidence from Shanghai, China

Purpose:  This research aims to examine the factors that impact the intention of businesses to invest in green tourism in Vietnam. The findings of this research can potentially provide insights and guidance to businesses and policymakers in making informed decisions regarding sustainable tourism practices and investments in the sector.
 
Theoretical framework:  The theoretical framework for this research topic could draw upon several relevant concepts and theories from the fields of sustainable tourism, community development, and environmental psychology.
 
Design/methodology/approach:  The methodology and approach for this research involve conducting a quantitative survey among businesses operating in the tourism industry in Vietnam during the year 2022. This includes designing and distributing the survey, collecting and analyzing the responses, and conducting a review of relevant literature. By using this mixed-methods approach, the research can provide a comprehensive understanding of the factors that influence businesses' intention to invest in green tourism in Vietnam.
 
Findings:  The study examines the factors that influence investment intentions in green  The findings reveal that government policies and regulations, funding and financial resources, local community involvement, and tourist demand have a significant and positive influence on investment intentions in sustainable tourism. However, public awareness and education, as well as infrastructure and technology, do not demonstrate a statistically significant impact on investment intentions.
 
Research, Practical & Social implications: The results indicate that investment intentions in green tourism are affected by government policies and regulations, as well as the accessibility of funding and financial resources. Additionally, the engagement of local communities and catering to the needs of environmentally and socially conscious tourists are crucial factors. However, the study also reveals that public awareness and education, as well as infrastructure and technology, do not have a statistically significant effect on investment intentions. The findings underscore the necessity for additional research to investigate the influence of public awareness and education on investment intentions and to tackle the challenge of low public awareness.
 
Originality/value:   Being the first research on this topic conducted in Vietnam, this study holds a unique position in advancing the understanding of sustainable tourism practices in the country's tourism industry. Additionally, the findings of this research can aid in developing policies and programs that promote sustainable tourism practices, which can have benefits for both the local communities and the tourism industry.

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Chunzhi Li

Papers

Low-carbon transformation of cities: Understanding the demand for dockless bike sharing in China