多维建成环境对城市居民低碳通学的作用机理及调控路径

快速城镇化背景下的居民低碳通学是实现城市高质量和可持续发展的重要途径。然而，在揭示低碳通学的建成环境效应时，地理背景的动态性和多尺度性对通学行为产生的交互锁定作用往往被忽视，从而阻碍城市空间的有效治理。项目以地理背景不确定性问题为指导，重点考虑家庭、社区-学校、学区的多层动态地理背景，从土地利用、环境设计、道路交通等多个维度量化测度其建成环境指数，基于社会生态理论构建分析框架，全面阐释建成环境对低碳通学的作用机理。选择空间快速扩张和重构的国家中心城市郑州为案例区，借助时空大数据和微观调研数据，采用GIS、RS、网络爬虫技术及多元统计分析方法，在科学评估义务教育阶段通学碳排放的基础上，深入探索建成环境对低碳通学的多层嵌套作用机理，进而模拟满足居民低碳通学目标的建成环境优化路径。项目不仅能深化城市社会空间结构研究，推进空间-行为互动理论发展，而且能为城市低碳发展的精细化规划和治理提供决策参考。

Under the background of rapid urbanization, low-carbon school commuting of urban residents has become an important way to achieve high quality and sustainable development of cities. However, the dynamic and multi-scale nature of geographical backgrounds has interactive locking effects on school commuting behaviors. Such effects are often neglected when revealing the impact of built environment on low-carbon school commutes, which hinders the fine and effective governance of urban space. Guided by uncertain geographic context problem, the multi-layer dynamic geographic context of families, communities, schools, and school districts is emphasized, quantitative indexes of the built environments will be constructed out of dimensions such as land use, environmental designs, road traffic. An analytical framework based on social ecology theory will be constructed in order to fully explain the role of the built environment on low-carbon school commutes. Zhengzhou, one of the national central cities, has experienced with rapid urban expansion and vigorous spatial reconstruction. Hence, this city will be selected as the study area. With the help of spatiotemporal big data and micro survey data, GIS, RS, web crawler technology, and multivariate statistical analysis will be used. On the basis of a scientific assessment of the carbon emissions of the residents' daily school commutes in the stage of compulsory education, the multi-layer nested mechanism of built environment on low-carbon school commutes will be deeply explored, and then the optimization path of built environment will be simulated to meet the goal of low-carbon school commutes of residents. The project not only can deepen research into urban social–spatial structures and contribute to the theory of spatial–behavioral interactions but can also provide a reference for decision-making on the fine planning and governance of urban low-carbon development.