The wide-ranging implementation of car-sharing has led to many positive impacts but also has been a controversial issue as it can cause congestion if it replaces public transport trips. Therefore, we are aiming to investigate the competition and cooperation between car-sharing and public transport with a focus on the car-sharing pricing policy. We consider shared autonomous vehicles (SAVs) for which a range of pricing scenarios are possible and simulate different scenarios with a given public transport networks. An important aspect of SAVs is the relocation strategy to cater future demand optimally and this is considered in our simulation. We consider distance specific pricing, as well as origin–destination specific pricing for car-sharing. We create a model of Kyoto city with the real-world subway lines and trip data and simulate choices between public transport and SAVs. The performance of the whole network is evaluated by the cost for passengers, profit for the car-sharing operator as well as the spatial distribution of car-sharing prices and its modal share. Results show that if a car-sharing service is introduced in the network, cost for passengers can be decreased. The benefit is spatially heterogenous and depends on the public transport network. A main result is that the benefit is significantly reduced if the SAV operator can pick prices for all ODs freely instead of being bound to a distance-based fare. Hence, it is necessary for city planners to introduce some pricing regulation, in order to balance and maximize the benefits for both passengers and car-sharing operators.
Simulation of Car-Sharing Pricing and Its Impacts on Public Transport: Kyoto Case Study
Lect.Notes Mobility
Proceedings of the 12th International Scientific Conference on Mobility and Transport ; Chapter : 8 ; 105-126
2023-02-20
22 pages
Article/Chapter (Book)
Electronic Resource
English
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