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Metro Proximity and Built Environment on Commuting CO2 Emissions in Shanghai

机译:上海通勤CO 2 排放的地铁接近和建筑环境

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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.
机译:为了探讨地理位置,建造环境,公共交通服务和个人社会经济属性对通勤二氧化碳(二氧化碳)排放的影响,2016年上海的27家住宅化合物进行了一项调查。本文根据额外计算距离计算百度地图应用程序编程接口(API)。基于每段的通勤和距离行驶的模式计算CO2排放。通过使用多元线性回归模型,个人社会经济属性的因素,包括性别,职业和公寓面积,对通勤二氧化碳排放具有重要意义。就公共交通服务而言,从化合物到最近地铁站的距离被发现是二氧化碳排放的重要因素,而建造的环境,如停车位和就业密度,在我们的研究中受到薄弱的影响。此外,即使在靠近地铁站居住时,旅行者二氧化碳排放的前20%也可以占总二氧化碳排放量的约80%。因此,减少人们通勤二氧化碳排放的政策值得进一步探索。

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