Best–Worst Method for Modelling Mobility Choice after COVID-19: Evidence from Italy

Sarbast Moslem, Tiziana Campisi, Agnieszka Szmelter-Jarosz, Szabolcs Duleba, Kh Md Nahiduzzaman and Giovanni Tesoriere
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Sarbast Moslem: Department of Transport Technology and Economics, Budapest University of Technology and Economics, 1111 Budapest, Hungary
Tiziana Campisi: Faculty of Engineering and Architecture, Kore University of Enna, 94100 Enna, Italy
Agnieszka Szmelter-Jarosz: Department of Logistics, Faculty of Economics, University of Gdansk, 80-309 Gdansk, Poland
Szabolcs Duleba: Department of Transport Technology and Economics, Budapest University of Technology and Economics, 1111 Budapest, Hungary
Kh Md Nahiduzzaman: School of Engineering, Faculty of Applied Science, Okanagan Campus, The University of British Columbia (UBC), Kelowna, BC V1V 1V7, Canada
Giovanni Tesoriere: Faculty of Engineering and Architecture, Kore University of Enna, 94100 Enna, Italy

Sustainability, 2020, vol. 12, issue 17, 1-19

Abstract: All countries have suffered from the COVID-19 crisis; the pandemic has adversely impacted all sectors. In this study, we examine the transport sector with a specific focus on the problem of commuting mode choice and propose a new decision-making approach for the alternative modes after synthesizing expert opinions. As a methodology, a customized model of the recently developed best–worst method (BWM) is used to evaluate mobility choice alternatives. The survey reflects citizens’ opinions toward mobility choices in two Italian cities, Palermo and Catania, before and during the pandemic. BWM is a useful tool for examining mobility choice in big cities. The adopted model is easy to apply and capable of providing effective solutions for sustainable mode choice. The urban context is analyzed considering the importance of transport choices, evaluating the variation of resilience to the changing opinions of users.

Keywords: mobility choice; COVID-19; best–worst method; multi-criteria decision making (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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