Multi-scale urban passenger transportation CO2 emission calculation platform for smart mobility management

Authors

Jia`nmiao Liu
Junyi Li
Yong Chen
Song Lian
Jiaqi Zeng
Maosi Geng
Sijing Zheng
Yinan Dong
Yan He
Pei Huang
Zhijian Zhao
Xiaoyu Yan
Qinru Hu
Lei Wang
Di Yang
Zheng Zhu
Yilin Sun
Wenlong Shang
Dianhai Wang
Lei Zhang
Xiqun (Michael) Chen

Document Type

Journal Article

Publication Date

2023

Subject Area

place - asia, place - urban, mode - bike, mode - bus, mode - car, mode - pedestrian, mode - subway/metro, technology - emissions, policy - environment

Keywords

Urban carbon emissions, Passenger transportation, High-resolution CO2 emissions, Smart mobility, Big data analytics, Sustainable transportation

Abstract

Passenger transportation is one of the primary sources of urban carbon emissions. Travel data acquisition and appropriate emission inventory availability make estimating high-resolution urban passenger transportation carbon emissions challenging. This paper aims to establish a method to estimate and analyze urban passenger transportation carbon emissions based on sparse trip trajectory data. First, a trip chain identification and reconstruction method is proposed to extract travelers' trip information from sparse trip trajectory data. Meanwhile, a city-scale trip sampling expansion method based on population and checkpoint data is proposed to estimate population movements. Second, the identified trip information (e.g., trip origin and destination, and travel modes) is used to calculate multimodal passenger transportation CO2 emissions based on a bottom-up CO2 emissions calculation approach. Third, we develop a multi-scale high-resolution transportation carbon emission calculation and monitoring platform and take the city of Hangzhou, one of China's leading cities, as our case study, with around 10 million daily trips data and a quarter million road links. Five modes of passenger transportation are identified, i.e., walking, cycling, buses, metro, and cars. Hourly carbon emissions are calculated and attributed to corresponding road links, which build up passenger transportation carbon emissions from road links to region and city levels. Results show that a typical working day's total passenger transportation CO2 emission is about 36,435 tonnes, equivalent to CO2 emissions from 4 million gallons of gasoline consumed. According to our analysis of the carbon emissions produced by approximately 40,000 km of roadways, urban expressways have the most hourly carbon emissions at 194 kg/(h·km). Moreover, potential applications of the developed methods and platform linking to smart mobility management (e.g., Mobility as a Service, MaaS) and how to work in tandem to support green transportation policies (e.g., green travel rewards and carbon credits in transportation) have been discussed.

Rights

Permission to publish the abstract has been given by Elsevier, copyright remains with them.

Comments

Applied Energy Home Page:

http://www.sciencedirect.com/science/journal/03062619

Recommended Citation

Liu, J., Li, J., Chen, Y., Lian, S., Zeng, J., Geng, M., Zheng, S., Dong, Y., He, Y., Huang, P., Zhao, Z., Yan, X., Hu, Q., Wang, L., Yang, D., Zhu, Z., Sun, Y., Shang, W., Wang, D., Zhang, L., Hu, S., & Chen, X.M. (2023). Multi-scale urban passenger transportation CO2 emission calculation platform for smart mobility management. Applied Energy, Vol. 331, 120407.