TY - JOUR
T1 - A simulation-based framework for quantifying potential demand loss due to operational constraints in automated mobility services
AU - Agriesti, Serio
AU - Roncoli, Claudio
AU - Nahmias-Biran, Bat hen
N1 - Publisher Copyright:
© 2024
PY - 2025/2
Y1 - 2025/2
N2 - Automated vehicles are key to unlock a more widespread on-demand service, increasing accessibility also in peripheral areas of large cities. To evaluate how the performance of these services may affect the overall demand in return, multiple dimensions of the transport problem have to be considered. Indeed, despite people may be willing to use Automated Mobility On-Demand (i.e., generating a potential demand for the service), they may be less willing to consistently replace their other travel options if they, for example, experience high waiting times (determined by the performance of the service, i.e., the supply). In this study, we propose a simulation-based framework developed by integrating an activity-based and a dynamic traffic assignment model, designed to frame absorbed and lost demand at a disaggregated level. This allows capturing how the effects of network congestion and fleet constraints may cause a certain portion of the demand to shift to traditional modes of transportation, thus improving, for example, the accuracy of business cases for mobility service design or of hidden patterns of inequality for policymakers and public authorities.
AB - Automated vehicles are key to unlock a more widespread on-demand service, increasing accessibility also in peripheral areas of large cities. To evaluate how the performance of these services may affect the overall demand in return, multiple dimensions of the transport problem have to be considered. Indeed, despite people may be willing to use Automated Mobility On-Demand (i.e., generating a potential demand for the service), they may be less willing to consistently replace their other travel options if they, for example, experience high waiting times (determined by the performance of the service, i.e., the supply). In this study, we propose a simulation-based framework developed by integrating an activity-based and a dynamic traffic assignment model, designed to frame absorbed and lost demand at a disaggregated level. This allows capturing how the effects of network congestion and fleet constraints may cause a certain portion of the demand to shift to traditional modes of transportation, thus improving, for example, the accuracy of business cases for mobility service design or of hidden patterns of inequality for policymakers and public authorities.
KW - AMoD
KW - Activity-based modeling
KW - Automated vehicles
KW - On-demand mobility services
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=85214586979&partnerID=8YFLogxK
U2 - 10.1016/j.tra.2024.104372
DO - 10.1016/j.tra.2024.104372
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AN - SCOPUS:85214586979
SN - 0965-8564
VL - 192
JO - Transportation Research Part A: Policy and Practice
JF - Transportation Research Part A: Policy and Practice
M1 - 104372
ER -