A Delphi approach to evaluating the success factors for the application of smart mobility systems in smart cities: a construction industry perspective

Abstract

This study evaluates the critical success factors for smart mobility systems (SM) and assesses its current application level for smart city development using Nigerian as a case study. This study is based on a mixed-method approach (Delphi and quantitative survey). The study revealed seven critical success factors of smart mobility. Furthermore, the findings of this study revealed that factors like sustainable, innovative and safe transportation system, availability of ICT infrastructure, local accessibility of transportation infrastructure, availability of transportation infrastructure (bike, cycling, pedestrian mobility facilities), are the most significant smart mobility success factors. Also, a good consensus was achieved for all the success factors. The Mann Whitney test from the final Delphi result revealed no significant difference in the responses of the two groups of experts. Assessing the level of application of the smart mobility success factors revealed an abysmal application level according to the expert's opinion. This study contributes to the body of knowledge as it reveals the SM success factors that should be considered to achieve a sustainable smart mobility system in a city. The findings of this study will assist cities worldwide in developing smart mobility systems and further improve their competitive advantage. The study concludes that the evaluated success factors are significant in smart mobility systems development and application, based on expert's opinion. However, its level of adoption and application is still low in Nigeria. Therefore, it is recommended that the government and policy decision-makers in urban transportation infrastructure development should use the results from this study, as a scorecard to know lagging areas and factors that need significant improvement and application to achieve a smart mobility system.

Keywords:

• Smart city
• smart mobility
• construction industry
• transportation system
• transportation industry
• construction management

Acknowledgement

The authors wish to acknowledge the University of Johannesburg, South Africa, for sponsoring this research through the global excellence 4.0 scholarship (GES 4.0).

Disclosure statement

No potential conflict of interest was reported by the authors.