Examining the effects of Automated Mobility-on-Demand services on public transport systems using an agent-based simulation approach

Duy Q. Nguyen-Phuoc; Meng Zhou; Ming Hong Chua; André Romano Alho; Simon Oh; Ravi Seshadri; Diem Trinh Le

doi:10.1016/j.tra.2023.103583

Examining the effects of Automated Mobility-on-Demand services on public transport systems using an agent-based simulation approach

Duy Q. Nguyen-Phuoc, Meng Zhou, Ming Hong Chua, André Romano Alho^*, Simon Oh, Ravi Seshadri, Diem Trinh Le

^*Corresponding author for this work

Department of Technology, Management and Economics

Research output: Contribution to journal › Journal article › Research › peer-review

97 Downloads (Pure)

Abstract

Several cities worldwide have been attempting to adopt “car-lite” policies to reduce traffic congestion and urban pollution. In addition to measures such as re-designing neighbourhoods and encouraging active modes, much expectation has been placed on the adoption of new and innovative modes, particularly shared AVs, or Automated Mobility-on-Demand (AMOD). Although the realisation of AMOD appears to be imminent, little is known about its potential effects on current transport systems. In this paper, using SimMobility, an agent-based microsimulation platform, we explored the impact of AMOD on public transport (PT). Two AV adoption scenarios were simulated: (1) “Partial Automation” where AMOD is introduced alongside existing modes, and (2) “Full Automation” where the use of private human-driven vehicles is prohibited upon the implementation of AMOD. We found that, compared to the base case (where there is no AMOD), the share of PT usage increased significantly in the AMODscenarios. While the overall congestion level was reduced in the Full Automation scenario, road in the Partial Automation scenario tended to suffer from high travel demand. The increased demand for PT also prompts for a revision of current service schedules. The temporal and spatial analyses of PT demand between scenarios have brought some useful implications on the implementation of AMOD for urban and transport planners.

Original language	English
Article number	103583
Journal	Transportation Research Part A: Policy and Practice
Volume	169
ISSN	0965-8564
DOIs	https://doi.org/10.1016/j.tra.2023.103583
Publication status	Published - 2023

Bibliographical note

Funding Information:
This research is supported by the Singapore Ministry of Transport, Urban Redevelopment Authority, Land Transport Authority, Housing Development Board, Ministry of National Development and the National Research Foundation, Prime Minister’s Office under the Land and Liveability National Innovation Challenge (L2 NIC) Research Programme (L2 NIC Award No. L2NICTDF1-2016-3). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of the Singapore Ministry of Transport, Urban Redevelopment Authority, Land Transport Authority, Housing Development Board, Ministry of National Development and National Research Foundation, Prime Minister’s Office, Singapore. The authors also acknowledge the support from the National Research Foundation of Korea (NRF) through the grant funded by the Korea government (MSIT) (No. 2022R1C1C1007505).

Funding Information:
This research is supported by the Singapore Ministry of Transport, Urban Redevelopment Authority, Land Transport Authority, Housing Development Board, Ministry of National Development and the National Research Foundation, Prime Minister's Office under the Land and Liveability National Innovation Challenge (L2 NIC) Research Programme (L2 NIC Award No. L2NICTDF1-2016-3). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of the Singapore Ministry of Transport, Urban Redevelopment Authority, Land Transport Authority, Housing Development Board, Ministry of National Development and National Research Foundation, Prime Minister's Office, Singapore. The authors also acknowledge the support from the National Research Foundation of Korea (NRF) through the grant funded by the Korea government (MSIT) (No. 2022R1C1C1007505).

Publisher Copyright:
© 2023 The Authors

Keywords

Automated Mobility-on-Demand (AMOD)
Car-free cities
Public policy
Public transport
SimMobility

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.tra.2023.103583

FulltextFinal published version, 10.1 MBLicence: CC BY-NC-ND

OpenUrl availability

Full text

Cite this

@article{7ef8e34ab2204275b9844aa8432bd9dd,

title = "Examining the effects of Automated Mobility-on-Demand services on public transport systems using an agent-based simulation approach",

abstract = "Several cities worldwide have been attempting to adopt “car-lite” policies to reduce traffic congestion and urban pollution. In addition to measures such as re-designing neighbourhoods and encouraging active modes, much expectation has been placed on the adoption of new and innovative modes, particularly shared AVs, or Automated Mobility-on-Demand (AMOD). Although the realisation of AMOD appears to be imminent, little is known about its potential effects on current transport systems. In this paper, using SimMobility, an agent-based microsimulation platform, we explored the impact of AMOD on public transport (PT). Two AV adoption scenarios were simulated: (1) “Partial Automation” where AMOD is introduced alongside existing modes, and (2) “Full Automation” where the use of private human-driven vehicles is prohibited upon the implementation of AMOD. We found that, compared to the base case (where there is no AMOD), the share of PT usage increased significantly in the AMODscenarios. While the overall congestion level was reduced in the Full Automation scenario, road in the Partial Automation scenario tended to suffer from high travel demand. The increased demand for PT also prompts for a revision of current service schedules. The temporal and spatial analyses of PT demand between scenarios have brought some useful implications on the implementation of AMOD for urban and transport planners.",

keywords = "Automated Mobility-on-Demand (AMOD), Car-free cities, Public policy, Public transport, SimMobility",

author = "Nguyen-Phuoc, {Duy Q.} and Meng Zhou and {Hong Chua}, Ming and {Romano Alho}, Andr{\'e} and Simon Oh and Ravi Seshadri and Le, {Diem Trinh}",

note = "Funding Information: This research is supported by the Singapore Ministry of Transport, Urban Redevelopment Authority, Land Transport Authority, Housing Development Board, Ministry of National Development and the National Research Foundation, Prime Minister{\textquoteright}s Office under the Land and Liveability National Innovation Challenge (L2 NIC) Research Programme (L2 NIC Award No. L2NICTDF1-2016-3). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of the Singapore Ministry of Transport, Urban Redevelopment Authority, Land Transport Authority, Housing Development Board, Ministry of National Development and National Research Foundation, Prime Minister{\textquoteright}s Office, Singapore. The authors also acknowledge the support from the National Research Foundation of Korea (NRF) through the grant funded by the Korea government (MSIT) (No. 2022R1C1C1007505). Funding Information: This research is supported by the Singapore Ministry of Transport, Urban Redevelopment Authority, Land Transport Authority, Housing Development Board, Ministry of National Development and the National Research Foundation, Prime Minister's Office under the Land and Liveability National Innovation Challenge (L2 NIC) Research Programme (L2 NIC Award No. L2NICTDF1-2016-3). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of the Singapore Ministry of Transport, Urban Redevelopment Authority, Land Transport Authority, Housing Development Board, Ministry of National Development and National Research Foundation, Prime Minister's Office, Singapore. The authors also acknowledge the support from the National Research Foundation of Korea (NRF) through the grant funded by the Korea government (MSIT) (No. 2022R1C1C1007505). Publisher Copyright: {\textcopyright} 2023 The Authors",

year = "2023",

doi = "10.1016/j.tra.2023.103583",

language = "English",

volume = "169",

journal = "Transportation Research Part A: Policy and Practice",

issn = "0965-8564",

publisher = "Pergamon Press",

}

TY - JOUR

T1 - Examining the effects of Automated Mobility-on-Demand services on public transport systems using an agent-based simulation approach

AU - Nguyen-Phuoc, Duy Q.

AU - Zhou, Meng

AU - Hong Chua, Ming

AU - Romano Alho, André

AU - Oh, Simon

AU - Seshadri, Ravi

AU - Le, Diem Trinh

N1 - Funding Information: This research is supported by the Singapore Ministry of Transport, Urban Redevelopment Authority, Land Transport Authority, Housing Development Board, Ministry of National Development and the National Research Foundation, Prime Minister’s Office under the Land and Liveability National Innovation Challenge (L2 NIC) Research Programme (L2 NIC Award No. L2NICTDF1-2016-3). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of the Singapore Ministry of Transport, Urban Redevelopment Authority, Land Transport Authority, Housing Development Board, Ministry of National Development and National Research Foundation, Prime Minister’s Office, Singapore. The authors also acknowledge the support from the National Research Foundation of Korea (NRF) through the grant funded by the Korea government (MSIT) (No. 2022R1C1C1007505). Funding Information: This research is supported by the Singapore Ministry of Transport, Urban Redevelopment Authority, Land Transport Authority, Housing Development Board, Ministry of National Development and the National Research Foundation, Prime Minister's Office under the Land and Liveability National Innovation Challenge (L2 NIC) Research Programme (L2 NIC Award No. L2NICTDF1-2016-3). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of the Singapore Ministry of Transport, Urban Redevelopment Authority, Land Transport Authority, Housing Development Board, Ministry of National Development and National Research Foundation, Prime Minister's Office, Singapore. The authors also acknowledge the support from the National Research Foundation of Korea (NRF) through the grant funded by the Korea government (MSIT) (No. 2022R1C1C1007505). Publisher Copyright: © 2023 The Authors

PY - 2023

Y1 - 2023

N2 - Several cities worldwide have been attempting to adopt “car-lite” policies to reduce traffic congestion and urban pollution. In addition to measures such as re-designing neighbourhoods and encouraging active modes, much expectation has been placed on the adoption of new and innovative modes, particularly shared AVs, or Automated Mobility-on-Demand (AMOD). Although the realisation of AMOD appears to be imminent, little is known about its potential effects on current transport systems. In this paper, using SimMobility, an agent-based microsimulation platform, we explored the impact of AMOD on public transport (PT). Two AV adoption scenarios were simulated: (1) “Partial Automation” where AMOD is introduced alongside existing modes, and (2) “Full Automation” where the use of private human-driven vehicles is prohibited upon the implementation of AMOD. We found that, compared to the base case (where there is no AMOD), the share of PT usage increased significantly in the AMODscenarios. While the overall congestion level was reduced in the Full Automation scenario, road in the Partial Automation scenario tended to suffer from high travel demand. The increased demand for PT also prompts for a revision of current service schedules. The temporal and spatial analyses of PT demand between scenarios have brought some useful implications on the implementation of AMOD for urban and transport planners.

AB - Several cities worldwide have been attempting to adopt “car-lite” policies to reduce traffic congestion and urban pollution. In addition to measures such as re-designing neighbourhoods and encouraging active modes, much expectation has been placed on the adoption of new and innovative modes, particularly shared AVs, or Automated Mobility-on-Demand (AMOD). Although the realisation of AMOD appears to be imminent, little is known about its potential effects on current transport systems. In this paper, using SimMobility, an agent-based microsimulation platform, we explored the impact of AMOD on public transport (PT). Two AV adoption scenarios were simulated: (1) “Partial Automation” where AMOD is introduced alongside existing modes, and (2) “Full Automation” where the use of private human-driven vehicles is prohibited upon the implementation of AMOD. We found that, compared to the base case (where there is no AMOD), the share of PT usage increased significantly in the AMODscenarios. While the overall congestion level was reduced in the Full Automation scenario, road in the Partial Automation scenario tended to suffer from high travel demand. The increased demand for PT also prompts for a revision of current service schedules. The temporal and spatial analyses of PT demand between scenarios have brought some useful implications on the implementation of AMOD for urban and transport planners.

KW - Automated Mobility-on-Demand (AMOD)

KW - Car-free cities

KW - Public policy

KW - Public transport

KW - SimMobility

U2 - 10.1016/j.tra.2023.103583

DO - 10.1016/j.tra.2023.103583

M3 - Journal article

AN - SCOPUS:85146668808

SN - 0965-8564

VL - 169

JO - Transportation Research Part A: Policy and Practice

JF - Transportation Research Part A: Policy and Practice

M1 - 103583

ER -

Examining the effects of Automated Mobility-on-Demand services on public transport systems using an agent-based simulation approach

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

OpenUrl availability

Fingerprint

Cite this