Large metropolitan cities around the world have been facing an exacerbating growth of trips through fossil-fuel-powered vehicles which is often cited cause for the urban traffic congestion, climate change, and depletion of the natural resources. This has led the global economies to think towards restructuring the urban mobility systems. Electric vehicles and shared mobility services are regarded as the means of reaching a transition to sustainable low-carbon emission transportation systems. The challenges involved in this process are not only to look for innovative vehicle design and service models, but to also understand the demand and adaptation of such services, which is imperative to ease effective market penetration. There are still only a small number of trips currently made using the electric vehicle sharing services (EVSS). This study tries to find the potential barriers resisting the demand and adaptation of EVSS and to recognize the possible policy measures to overcome the barriers based on MCDM (multi-criteria decision making) method. Specifically, this paper presents the early results achieved using the Delphi-based expert survey. The Delphi method has proven to be an efficient survey method when only a limited amount of knowledge is available. We adopted a modified Delphi-method in which selected experts were asked to assess the barriers and policy measures with respect to the expected probability of occurrence in real case scenarios, impact, and desirability at strategic level of planning, and experts’ confidence level in this assessment. This is particularly valuable in policy making and analysis since it is possible to understand the variance in the opinions of different experts. The results show that infrastructural and policy & governance related barriers can prove to be the most influencing in adaptation of EVSS. Further, measures such as effective coordination between authorities and infrastructure-centric policies were top rated by the experts.

Janak Parmar(1,2), Paolo Delle Site(1), Dilum Dissanayake(2)
(1) Università degli Studi Niccolò Cusano, (2) University of Birmingham

 
ID Abstract: 556