Multi-modal interactions at the network-level remain unexplored due to the lack of high- resolution data for all transportation modes involved. The current work investigates the effect …
The growing number of studies on road network pricing requires adoption of systematic methodologies to assess research outcomes and provide an unbiased summary of research …
A Ardeshiri, F Safarighouzhdi, TH Rashidi - Transportation Research Part A …, 2021 - Elsevier
This study explores how individuals evaluate different shared parking features, as an emerging concept. In this paper, we develop a latent class behavioural model for a sample …
Car parking policies often aim to relieve or better distribute parking demand in central urban areas. Evaluating their effectiveness requires the investigation of traveller behaviour and …
K Xu, M Saberi, W Liu - Transportation Research Part C: Emerging …, 2022 - Elsevier
Time-dependent order cancellation behaviour affects ridesourcing platform operation and overall system performance. This paper models impacts of time-dependent order …
In this paper, we propose a new macro-micro approach to modeling parking. We first develop a microscopic parking simulation model considering both on-and off-street parking …
W Liu, F Zhang, H Yang - Transportation Research Part C: Emerging …, 2021 - Elsevier
This paper models the joint equilibrium of destination and parking choices in cities under hybrid supply of curbside parking and shared parking. Given the parking supply (capacities …
Y Huang, Y Ye, J Sun, Y Tian - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
With the rapid development of autonomous driving, Autonomous Vehicles (AVs) have started to appear on public roads, which has inevitably affected current traffic conditions and …
Z Zhang, W Liu, F Zhang - Transportation Research Part C: Emerging …, 2023 - Elsevier
This paper investigates the joint network equilibrium of parking and travel route choices in the future mobility paradigm with mixed traffic of private and shared autonomous vehicles …