Innovating practice-oriented training models for Dual-Carbon talent: Insights from near-zero carbon campus development

以近零碳校园建设为载体的“双碳”人才实践能力培养模式创新研究

With the ongoing advancement of China’s “dual-carbon” strategy and the deepening of green and low-carbon development, universities are urgently required to transcend the limitations of traditional classroom-based instruction and strengthen the cultivation of students’ practical and innovative competencies. This study takes near-zero carbon campus development as a core educational platform and proposes a tri-dimensional practice-oriented training model based on “project-driven learning, interdisciplinary collaboration, and competition-based enhancement”. It systematically explores the organisational logic and competence development pathways of practice-based teaching in dual-carbon disciplines.

在“双碳”战略持续推进和绿色低碳高质量发展不断深化背景下，高校“双碳”人才培养亟需突破传统课堂教学局限，强化学生的实践创新能力。本文以高校近零碳校园建设为核心教学场域，提出“项目驱动–学科交叉–竞赛提升”三维协同的实践能力培养模式，系统探索“双碳”专业实践教学的组织逻辑与能力提升路径。

Anchored in task scenarios such as carbon accounting, energy efficiency management, and sustainable campus mobility, the model integrates modular curriculum design, interdisciplinary teamwork, and competition outcome transformation to support students in transitioning from knowledge acquisition to competence construction and from participation to deliverable outputs. Furthermore, by leveraging a positive feedback loop between hands-on practice and high-level academic competitions, a closed-loop system of “practice–competition–curriculum feedback” is established.

研究基于碳核算、能耗管理、绿色交通等典型任务场景，通过模块化教学组织、跨学科协作与竞赛成果转化等机制的有机结合，推动学生在真实任务中实现从知识获取到能力建构、从参与实践到输出成果的综合能力跃迁。同时，依托实践成果与高水平竞赛的正向循环，建立了“实践–竞赛–课程反哺”的教学闭环。

August 31, 2022August 1, 2025

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.

November 26, 2021August 12, 2026

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.