基于手机信令数据的通勤交通碳排放测度及减碳策略研究  

Research on Commuter Traffic Carbon Emission Measurement and Carbon Reduction Strategy Based on Mobile Phone Signaling Data

作　　者：杨晓楠 王林申[1] 张新雨 卢学峰 YANG Xiao-nan;WANG Lin-shen;ZHANG Xin-yu;LU Xue-feng(School of Civil Engineering and Architecture,University of Jinan)

机构地区：[1]济南大学土木建筑学院

出　　处：《智能建筑与智慧城市》2024年第9期12-14,共3页Intelligent Building & Smart City

基　　金：山东省自然科学基金项目,项目编号:ZR2021ME076。

摘　　要：通勤交通碳排放是居民日常出行交通碳排放的主要来源,是城市交通碳排放的重要组成部分。文章以济南市内六区为研究对象,基于手机信令数据确定居民的居住点及对应工作点,运用ArcGIS软件求解通勤路径距离,根据不同交通方式的碳排放系数,计算“单一”和“多元”两类交通方式下的碳排放规模。结果表明,六区之间的通勤交通碳排放差异较大,多元交通方式可减碳约50%,职住分离等是产生过多通勤交通碳排放的主要原因。提出优化城市空间形态,促进职住空间平衡,提质绿色交通环境等减碳策略。Commuter traffic carbon emissions are the main source of residents'daily travel and transportation carbon emissions,and it is an important part of urban traffic carbon emissions.This paper takes six districts in Jinan as the research object,determines residents'residence points and corresponding working points based on mobile phone signaling data,uses ArcGIS software to solve the commuting path distance,and calculates the carbon emission scale of"single"and"multiple"transportation modes according to the carbon emission coefficient of different transportation modes.The results show that the carbon emission of commuting traffic varies greatly among the six districts,and the carbon emission of multi-mode transportation can be reduced by about 50%.The separation of residence and work is the main cause of excessive carbon emission of commuting traffic.Carbon reduction strategies such as optimizing urban spatial form,promoting the balance of occupational and residential space,and improving the quality of green transportation environment are put forward.

关 键 词：手机信令数据 通勤交通 碳排放 减碳 

分 类 号：TU984.113[建筑科学—城市规划与设计] X322[环境科学与工程—环境工程]