Analysis of Urban Commuting Carbon Emission Based on Mobile Phone Signaling Data
In the absence of user's personal socio-economic attribute data,a travel mode discrimination method for macro carbon emission accounting based on low-frequency mobile phone signaling data,POI data,Internet location data and prior knowledge was proposed.And through the bottom-up car-bon emission calculation method based on the actual commuting distance,the carbon emission of dif-ferent commuting modes was quantified.Based on the proposed accounting method,the commuting carbon emissions of 31938 people in Shanghai were calculated and analyzed.The results show that there are significant differences in commuting carbon emissions among different modes of transporta-tion.There are commuters with high carbon emissions,whose sample size accounts for only 11％of the total sample,but the carbon emissions generated by them account for 55％of the total.High-car-bon emission commuting is the result of long-distance commuting and high-carbon emission travel mode.
万方数据
维普
