Mining urban sustainable performance: GPS data-based spatio-temporal analysis on on-road braking emission

Chen，Jinyu1,2; Li，Wenjing2; Zhang，Haoran1,2; Jiang，Wenxiao2; Li，Weifeng3; Sui，Yi2,4,5; Song，Xuan1,2; Shibasaki，Ryosuke2

2020-10-10

10.1016/j.jclepro.2020.122489

Journal of Cleaner Production   影响因子和分区

0959-6526

1879-1786

The on-road braking emission has been proved by former studies to account for a considerable part of on-road transportation. To improve cleaner air in urban area, the spatio-temporal analysis on emission performance of on-road braking is necessary as a guideline for decision-making. In this paper, we propose a framework for analysis on the particle matter emission of on-road vehicle braking events on an urban scale. We used massive vehicle trajectories in Tokyo area with short time interval as the database for analysis. From the result, we found that within the in the study area, the average driving distance during braking takes up about 20.60% of total driving distance. The average quantity of PM10 emission from braking for each driving trajectory is 14.09 mg and the one from exhaust emission is 35.36 mg. The emission from braking can averagely occupy 39.85% of exhaust emission. What's more, in our finding, the braking emission from heavy duty vehicle is 2.33 times of light duty vehicle. From the spatial distribution of PM10 braking emission, we found that braking emission usually happened in the city center and popular crowded areas due to the large traffic volume, as well as the main trunk roads of capital expressway or highway. We also found a different spatial pattern between the light duty vehicle and heavy-duty vehicle. In temporal change, we found that rapid peaks during the rush hour on weekday and contrastive stabilization on weekend. We believe our finding can provide a clearer pattern and understanding on the emission behavior of on-road vehicle braking.

Brake Data mining Emission performance GPS Data

SCI ; EI

英语

第一 ; 通讯

Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology

Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences

WOS:000579071300096

ELSEVIER SCI LTD

20202708889917

Global positioning system ; Roads and streets ; Decision making ; Vehicles ; Air cleaners

Roads and Streets:406.2 ; Air Pollution Control:451.2 ; Data Processing and Image Processing:723.2 ; Management:912.2

2-s2.0-85087107467

Scopus

1.SUSTech-UTokyo Joint Research Center on Super Smart City,Department of Computer Science and Engineering,Southern University of Science and Technology(SUSTech),Shenzhen,China
2.Center for Spatial Information Science,The University of Tokyo,Chiba,5-1-5 Kashiwanoha, Kashiwa-shi,277-8568,Japan
3.Key Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University,Shanghai,4800 Cao'an Road,201804,China
4.College of Computer Science and Technology,Qingdao University,Qingdao,Ningxia Road No. 308,266071,China
5.Institute of Smart City and Big Data Technology,Qingdao,Qingdao,Ningxia Road No. 308,266071,China

Chen，Jinyu,Li，Wenjing,Zhang，Haoran,et al. Mining urban sustainable performance: GPS data-based spatio-temporal analysis on on-road braking emission[J]. Journal of Cleaner Production,2020,270.

Chen，Jinyu.,Li，Wenjing.,Zhang，Haoran.,Jiang，Wenxiao.,Li，Weifeng.,...&Shibasaki，Ryosuke.(2020).Mining urban sustainable performance: GPS data-based spatio-temporal analysis on on-road braking emission.Journal of Cleaner Production,270.

Chen，Jinyu,et al."Mining urban sustainable performance: GPS data-based spatio-temporal analysis on on-road braking emission".Journal of Cleaner Production 270(2020).