关键词：通勤CO2排放，建筑环境，地铁邻近，上海
摘 要：为探讨地理位置、建成环境、公共交通服务和个人社会经济属性对通勤二氧化碳( CO2 )排放的影响,2016年对上海市27个住宅小区进行了调查。本文根据百度地图应用程序接口( API )计算通勤距离,根据每段通勤和出行距离采用的模式计算CO2排放量。通过使用多元线性回归模型,个人社会经济属性因素包括性别、职业和公寓面积对通勤CO2排放有显著影响。在公共交通服务方面,化合物到最近的地铁站的距离被发现是影响二氧化碳排放的重要因素,而建成环境,如停车位和就业密度,在我们的研究中影响不大。此外,即使居住在地铁站附近,前20 %的出行者的CO2排放量也约占总CO2排放量的80 %。因此,减少这些人通勤二氧化碳排放的政策值得进一步探讨。
Abstract: To explore the impact of geographical location, built environment, public transportation service and individual socioeconomic attributes on commuting carbon dioxide (CO2) emissions, a survey was conducted in 27 residential compounds of Shanghai in 2016. In this paper, commuting distance was calculated according to a Baidu map application programming interface (API). CO2 emissions were calculated based on the mode used in each segment of commuting and distance travelled. Through the use of a multiple linear regression model, factors of personal socioeconomic attributes, including gender, occupation and apartment area, were significant to commuting CO2 emissions. In terms of the public transport service, the distance from compounds to the nearest metro station was found to be a significant factor on CO2 emissions, whereas the built environment, such as parking space and employment density, had a weak impact in our study. In addition, even when living near a metro station, the top 20% of travellers’ CO2 emissions can account for approximately 80% of the total CO2 emissions. Hence, policies to reduce those people’s commuting CO2 emissions are worth further exploring.
Key: Commuting CO2 Emissions, Built Environment, Metro Proximity, Shanghai
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