Excessive traffic during peak hours in the Central Business District (CBD) of a city can be reduced by successfully implementing congestion pricing. This paper estimates congestion pricing duration and its benefit in terms of reduced traffic volume, hence reduced travel time in an urban corridor of Kolkata. Using videography method, traffic flow data are extracted whereas for travel time data, Google Maps is used. These data are used to find temporal variations of flow as well as travel time, and it is observed that flow varies with the square of travel time. Users were interviewed, and preferential study was conducted in order to find the willingness to pay in a hypothetical condition of congestion pricing, introduced in that particular corridor. Now, users’ willingness to pay, shift to public transport or shift to a different time window has been calculated using multinomial regression technique. The results show that optimum pricing duration, i.e. maximum reduction in flow, is observed from 9 to 11 am in the morning peak and from 4 to 7 pm in the evening peak, and the corresponding flow reductions are around 18% and 30%, respectively. An optimum pricing level of ₹15 is calculated using weighted average method. This approach may be adopted to determine the pricing levels, duration and benefits of congestion pricing to other corridors with similar traffic characteristics. If user perceptions are not considered, flow reductions and improvement travel times are even higher, but large number of commuters have to unwillingly shift their trip time. Therefore, this study also highlights the percentage of trip maker who will have to unwillingly shift their trip time to improve the overall travel time due to the congestion pricing.
Importance of Travellers’ Preferences in Planning Congestion Pricing Levels and Benefits: Case Study of Urban Corridor in Kolkata
Lecture Notes in Civil Engineering
Conference of Transportation Research Group of India ; 2021 December 14, 2021 - December 17, 2021
Proceedings of the Sixth International Conference of Transportation Research Group of India ; Kapitel : 19 ; 277-292
2022-09-19
16 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
British Library Conference Proceedings | 2015
|State-dependent congestion pricing with reference-dependent preferences
Online Contents | 2011
|State-dependent congestion pricing with reference-dependent preferences
Elsevier | 2011
|Value of Dynamic Revenue-Maximizing Congestion Pricing in a Highly Congested Corridor
Online Contents | 2015
|Perceived Benefits of Congestion Pricing for Trucks
Transportation Research Record | 2003
|