University campus transport carbon accounting and emission reduction potential from the perspective of spatiotemporal behaviour

A university is a typical urban community, and the analysis of transport carbon emissions and its reduction potential at the campus scale is important for the city’s dual carbon goals. This research mainly uses the emission factor method through the investigation of faculty members and the analytical method of geographic information system by a bottom-top methodolgy.

The emission reduction potential in a specific scenario.

Transport carbon emission accounting and the results were visualised at the campus and the building scales. Further, based on the results of research and analysis, this research proposes emission reduction strategies, calculates their emission reduction potentials, and puts forward corresponding policy recommendations for emission reduction and governance at the campus and community scales.

The research by Jiang R, Liu X, and Lyu T was submitted to the 15th National Social Practice and Science Competition on Energy Conservation and Emission Reduction for College Students and got national third prize.

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Enclave-reinforced inequality during the COVID-19 pandemic: Evidence from university campus lockdowns in Wuhan, China

The COVID-19 pandemic has impacted urban life and created spatial and social inequalities in cities. The impacts of lifting full lockdown restrictions once fast-spreading and community-acquired infection waves were under control are still not fully understood.

Two phases shape the new inequality during the pandemic.

This study aims to explore spatial inequality reinforced in the intervals between the waves of infection during the COVID-19 pandemic. Enclave-reinforced inequality resulting from enclave-based lockdown policies in Chinese cities was investigated through an analysis of the impacts of university campus enclave closures on the accessibility and crowdedness of urban green spaces. Using a modified two-step floating catchment area (2SFCA) and inversed 2SFCA (i2SFCA) method, accessibility and crowdedness were calculated and compared under two different scenarios. Additionally, the Lorenz curve, Gini coefficient, and Theil index were used to measure and compare intra-city global and local inequalities under each scenario.

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