[HTML][HTML] Demand management for smart transportation: A review

X Qin, J Ke, X Wang, Y Tang, H Yang - Multimodal Transportation, 2022 - Elsevier
The current revolutions of automation, electrification, and sharing are reshaping the way we
travel, with broad implications for future mobility management. While much uncertainty …

[HTML][HTML] Impact of COVID-19 behavioral inertia on reopening strategies for New York City transit

D Wang, BY He, J Gao, JYJ Chow, K Ozbay… - International Journal of …, 2021 - Elsevier
The COVID-19 pandemic has affected travel behaviors and transportation system
operations, and cities are grappling with what policies can be effective for a phased …

A systematic review of the role of road network pricing in shaping sustainable cities: lessons learned and opportunities for a post-pandemic world

T Munir, H Dia, H Ghaderi - Sustainability, 2021 - mdpi.com
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 …

Mobility in post-pandemic economic reopening under social distancing guidelines: Congestion, emissions, and contact exposure in public transit

D Wang, M Tayarani, BY He, J Gao, JYJ Chow… - … Research Part A: Policy …, 2021 - Elsevier
COVID-19 has raised new challenges for transportation in the post-pandemic era. The social
distancing requirement, with the aim of reducing contact risk in public transit, could …

Integration of different mobility behaviors and intermodal trips in MATSim

J Müller, M Straub, G Richter, C Rudloff - Sustainability, 2021 - mdpi.com
MATSim is an open-source simulation framework for mesoscopic traffic simulations that has
gained popularity in recent years. In this paper, we present a MATSim model for the city of …

Commuter departure time choice behavior under congestion charge: Analysis based on cumulative prospect theory

K Geng, Y Wang, E Cherchi, P Guarda - Transportation research part A …, 2023 - Elsevier
An often-overlooked problem in the evaluation and prediction of congestion charge policies
is commuters' bounded rationality. Although some studies have sought to account for this …

[HTML][HTML] Large-scale public charging demand prediction with a scenario-and activity-based approach

Q Jiang, N Zhang, BY He, C Lee, J Ma - Transportation research part A …, 2024 - Elsevier
Transportation system electrification is expected to bring millions of electric vehicles (EVs)
on road within decades. Accurately predicting the charging demand is necessary to …

Reducing urban traffic congestion via charging price

P González-Aliste, I Derpich, M López - Sustainability, 2023 - mdpi.com
Traffic jams are one of the major transportation problems. The United States spends USD
billions to mitigate the problem, and not always with good outcomes. This problem increases …

Designing, simulating, and performing the 100-av field test for the circles consortium: Methodology and implementation of the largest mobile traffic control experiment …

M Ameli, S McQuade, JW Lee, M Bunting… - arXiv preprint arXiv …, 2024 - arxiv.org
Previous controlled experiments on single-lane ring roads have shown that a single partially
autonomous vehicle (AV) can effectively mitigate traffic waves. This naturally prompts the …

California's zero-emission vehicle adoption brings air quality benefits yet equity gaps persist

Q Yu, BY He, J Ma, Y Zhu - Nature Communications, 2023 - nature.com
Zero-emission vehicle (ZEV) adoption is a key climate mitigation tool, but its environmental
justice implications remain unclear. Here, we quantify ZEV adoption at the census tract level …