Impact of transportation network companies on urban congestion: Evidence from large-scale trajectory data
Abstract
We collect vehicle trajectory data from major transportation network companies (TNCs) in New York City (NYC) in 2017 and 2019, and we use the trajectory data to understand how the growth of TNCs has impacted traffic congestion and emission in urban areas. By mining the large-scale trajectory data and conduct the case study in NYC, we confirm that the rise of TNC is the major contributing factor that makes urban traffic congestion worse. From 2017 to 2019, the number of for-hire vehicles (FHV) has increased by over 48% and served 90% more daily trips. These resulted in an average citywide speed reduction of 22.5% on weekdays, and the average speed in Manhattan decreased from 11.76 km/h in April 2017 to 9.56 km/h in March 2019. The heavier traffic congestion may have led to 136% more NOx, 152% more CO and 157% more HC emission per kilometer traveled by the FHV sector. Our results show that the traffic condition is consistently worse across different times of the day and at different locations in NYC. And we build the connection between the number of available FHVs and the reduction in travel speed between the two years of data and explain how themore »
- Authors:
-
- Purdue Univ., West Lafayette, IN (United States)
- Publication Date:
- Research Org.:
- Purdue Univ., West Lafayette, IN (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- OSTI Identifier:
- 1799523
- Alternate Identifier(s):
- OSTI ID: 1780080
- Grant/Contract Number:
- EE0008524
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Sustainable Cities and Society
- Additional Journal Information:
- Journal Volume: 55; Journal Issue: C; Journal ID: ISSN 2210-6707
- Publisher:
- Elseiver
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 29 ENERGY PLANNING, POLICY, AND ECONOMY; Construction & Building Technology; Science & Technology; Energy & Fuels; Transportation network companies; Trajectory data; Urban traffic congestion; Emission
Citation Formats
Qian, Xinwu, Lei, Tian, Xue, Jiawei, Lei, Zengxiang, and Ukkusuri, Satish V. Impact of transportation network companies on urban congestion: Evidence from large-scale trajectory data. United States: N. p., 2020.
Web. doi:10.1016/j.scs.2020.102053.
Qian, Xinwu, Lei, Tian, Xue, Jiawei, Lei, Zengxiang, & Ukkusuri, Satish V. Impact of transportation network companies on urban congestion: Evidence from large-scale trajectory data. United States. https://doi.org/10.1016/j.scs.2020.102053
Qian, Xinwu, Lei, Tian, Xue, Jiawei, Lei, Zengxiang, and Ukkusuri, Satish V. Tue .
"Impact of transportation network companies on urban congestion: Evidence from large-scale trajectory data". United States. https://doi.org/10.1016/j.scs.2020.102053. https://www.osti.gov/servlets/purl/1799523.
@article{osti_1799523,
title = {Impact of transportation network companies on urban congestion: Evidence from large-scale trajectory data},
author = {Qian, Xinwu and Lei, Tian and Xue, Jiawei and Lei, Zengxiang and Ukkusuri, Satish V.},
abstractNote = {We collect vehicle trajectory data from major transportation network companies (TNCs) in New York City (NYC) in 2017 and 2019, and we use the trajectory data to understand how the growth of TNCs has impacted traffic congestion and emission in urban areas. By mining the large-scale trajectory data and conduct the case study in NYC, we confirm that the rise of TNC is the major contributing factor that makes urban traffic congestion worse. From 2017 to 2019, the number of for-hire vehicles (FHV) has increased by over 48% and served 90% more daily trips. These resulted in an average citywide speed reduction of 22.5% on weekdays, and the average speed in Manhattan decreased from 11.76 km/h in April 2017 to 9.56 km/h in March 2019. The heavier traffic congestion may have led to 136% more NOx, 152% more CO and 157% more HC emission per kilometer traveled by the FHV sector. Our results show that the traffic condition is consistently worse across different times of the day and at different locations in NYC. And we build the connection between the number of available FHVs and the reduction in travel speed between the two years of data and explain how the rise of TNC may impact traffic congestion in terms of moving speed and congestion time. Our findings provide valuable insights for different stakeholders and decision-makers in framing regulation and operation policies towards more effective and sustainable urban mobility.},
doi = {10.1016/j.scs.2020.102053},
journal = {Sustainable Cities and Society},
number = C,
volume = 55,
place = {United States},
year = {Tue Jan 28 00:00:00 EST 2020},
month = {Tue Jan 28 00:00:00 EST 2020}
}
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