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| 1 | 我国小城镇可持续转型发展研究综述与展望显示文摘小城镇、大战略,既是新型城镇化的重要内涵与发展方向,也是国家层面推动城镇化发展的重要路径和选择。作为连接城市与农村的纽带和桥梁,小城镇的可持续发展是落实新型城镇化和乡村振兴战略的关键路径和重要保障。从我国小城镇的概念及演化机制、经济发展、社会发展、生态建设、空间发展演化、转型发展的治理模式与管理策略等六个方面对相关研究进行述评,并从理论研究、经济发展、社会发展、生态建设、空间发展以及治理模式与政策研究等方面对未来的研究动态与趋势分析进行研判,以期推进小城镇充分发展的大战略。 | 李国平 李迅 冯长春 王耀麟 陆军 赵鹏军 陈鹏 桂萍 凌云飞 | 2018 | 重庆理工大学学报(社会科学)2018，32，6： | 13 |
| 2 | Relationship Between Built Environment, Socio-economic Factors and Carbon Emissions from Shopping Trip in Shenyang City, China显示文摘Promoting active travel behavior and decreasing transport-related carbon dioxide(CO_2) emissions have become a priority in many Chinese cities experiencing rapid urban sprawl and greater automobile dependence. However, there are few studies that holistically examine the physical and social factors associated with travel CO_2 emissions. Using a survey of 1525 shoppers conducted in Shenyang, China, this study estimated shopping-related travel CO_2 emissions and examined how the built environment and individual socioeconomic characteristics contribute to shopping travel behavior and associated CO_2 emissions. We found that, firstly, private car trips generate nearly eight times more carbon emissions than shopping trips using public transport, on average. Second, there was significant spatial autocorrelation with CO_2 emissions per trip, and the highest carbon emissions were clustered in the inner suburbs and between the first and second circumferential roads. Third, shopping travel CO_2 emissions per trip were negatively correlated with several built environment features including population density, the quantity of public transport stations, road density, and shop density. They were also found to be significantly related to the individual socio-economic characteristics of car ownership, employment status, and education level using a multinomial logistic regression model. These empirical findings have important policy implications, assisting in the development of measures that contribute to the sustainability of urban transportation and meet carbon mitigation targets. | LI Jing LO Kevin ZHANG Pingyu GUO Meng | 2017 | Chinese Geographical Science2017，27，5： | 0 |
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