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Understanding the temporal and spatial variation of air quality (AQ) impact due to congestion pricing is important since the health and economic benefits of air quality improvements depend on the distribution of traffic-related air pollution. Aiming to improve our knowledge of the AQ impacts from congestion pricing, this study integrates a disaggregate agent-based travel demand model with a hyper-local air quality model to examine emissions, air quality, and exposure. Studying congestion pricing schemes in NYC, we find that daily single-occupancy-vehicle trips to the charging area decreases by 14.5% and 24.3% under the low and high charging schemes, respectively. Correspondingly, the PM2.5 concentration decreases by 5–25% in the Central Manhattan areas in the low-toll scenario, and by more than 10% across almost all of New York City areas in the high-toll scenario. Our results indicate non-linear relations between the adaptation of travel behavior and the resulting air quality/exposure impacts.
Mohammad Tayarani; Amirhossein Baghestani; Mahdieh Allahviranloo; H. Oliver Gao. Spatial/temporal variability in transportation emissions and air quality in NYC cordon pricing. Transportation Research Part D: Transport and Environment 2020, 89, 102620 .
AMA StyleMohammad Tayarani, Amirhossein Baghestani, Mahdieh Allahviranloo, H. Oliver Gao. Spatial/temporal variability in transportation emissions and air quality in NYC cordon pricing. Transportation Research Part D: Transport and Environment. 2020; 89 ():102620.
Chicago/Turabian StyleMohammad Tayarani; Amirhossein Baghestani; Mahdieh Allahviranloo; H. Oliver Gao. 2020. "Spatial/temporal variability in transportation emissions and air quality in NYC cordon pricing." Transportation Research Part D: Transport and Environment 89, no. : 102620.
Traffic congestion is a major challenge in metropolitan areas due to economic and negative health impacts. Several strategies have been tested all around the globe to relieve traffic congestion and minimize transportation externalities. Congestion pricing is among the most cited strategies with the potential to manage the travel demand. This study aims to investigate potential travel behavior changes in response to cordon pricing in Manhattan, New York. Several pricing schemes with variable cordon charging fees are designed and examined using an activity-based microsimulation travel demand model. The findings demonstrate a decreasing trend in the total number of trips interacting with the central business district (CBD) as the price goes up, except for intrazonal trips. We also analyze a set of other performance measures, such as Vehicle-Hours of Delay, Vehicle-Miles Traveled, and vehicle emissions. While the results show considerable growth in transit ridership (6%), single-occupant vehicles and taxis trips destined to the CBD reduced by 30% and 40%, respectively, under the $20 pricing scheme. The aggregated value of delay for all vehicles was also reduced by 32%. Our findings suggest that cordon pricing can positively ameliorate transportation network performance and consequently, improve air quality by reducing particular matter inventory by up to 17.5%. The results might facilitate public acceptance of cordon pricing strategies for the case study of NYC. More broadly, this study provides a robust framework for decision-makers across the US for further analysis on the subject.
Amirhossein Baghestani; Mohammad Tayarani; Mahdieh Allahviranloo; H. Oliver Gao. Evaluating the Traffic and Emissions Impacts of Congestion Pricing in New York City. Sustainability 2020, 12, 3655 .
AMA StyleAmirhossein Baghestani, Mohammad Tayarani, Mahdieh Allahviranloo, H. Oliver Gao. Evaluating the Traffic and Emissions Impacts of Congestion Pricing in New York City. Sustainability. 2020; 12 (9):3655.
Chicago/Turabian StyleAmirhossein Baghestani; Mohammad Tayarani; Mahdieh Allahviranloo; H. Oliver Gao. 2020. "Evaluating the Traffic and Emissions Impacts of Congestion Pricing in New York City." Sustainability 12, no. 9: 3655.