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基于离散选择模型的城市住区居民低碳行为影响因素研究 被引量:6

Research on Factors Affecting the Low-carbon Behaviors of Urban Residents Based on Discrete Choice Model
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摘要 为緩解城市住区居民生活碳排放的高强度问題,以长沙某住区为例,基于离散选择糢型,从住区空间规划、居民的生活行为方式、低碳消费心理、交通能耗标准4个方面研究城市住区居民低碳行为。结果显示:年龄、绿地配置景观绿化设计、商业设施密度、出行方式与主观规范5个变量对低碳行为选择影响显著:通过外部因素结合心理因素分析居民低碳行为的约束因素,能更好糢拟出住区内人们的低碳生活方式,为后续人们的低碳行为提供参考。 To alleviate the high-intensity problem related to residential carbon emissions,a residential area in Changsha is selected as an example to study the residents'low-carbon behaviors.Based on the discrete choice model,four factors influencing low-carbon behaviors,including the spatial planning of residential areas,residents’lifestyles,low-carbon consumer psychology,and transportation energy consumption are considered.The results show that 5 variables including age,green space configuration,landscape design,commercial facility density,travel methods and subjective norms have significant impacts on low-carbon behavior choices.Through external factors combined with psychological factors,it also provides a new reference for simulating low-carbon lifestyles.
作者 沈良峰 张微巍 张婧 朱安娜 SHEN Liang-feng;ZHANG Wei-wei;ZHANG Jing;ZHUAn-na(School of Civil Engineering,Central South University of Forestry and Technology,Changsha 410004,China)
出处 《工程管理学报》 2021年第1期95-100,共6页 Journal of Engineering Management
基金 湖南省自然科学基金项目(20182684)。
关键词 城市住区 低碳行为 多元回归 离散选择模型 urban residential area low-carbon behavior multiple linear regression discrete choice model
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