The value propositions of Smart City Mobility projects

Adriano Tanda and Alberto De Marco

Transportation Planning and Technology, 2021, vol. 44, issue 8, 860-886

Abstract: Public city administrators who have been seeking to reduce traffic congestion and pollution, while improving livability and economic competitiveness, via increased investment in promising Smart City (SC) Mobility solutions. However, despite scholarly interest and booming market of solutions and technologies, there is still the need to unlock the value that SC Mobility projects can bring and to understand how these projects define and deliver value. To this end, this study presents an empirical analysis of 300 mobility projects internationally. Projects are scrutinized according to a business model framework and the variety of project characteristics are analyzed. Classification of business modeling characteristics of SC Mobility projects is given, illustrating the main benefits and objectives of smart mobility projects and how such value is generated and distributed among stakeholders. The resulting implications are two-fold. First, it helps scholars with a common business model reference to evaluate SC Mobility projects. Second, it supports the decision-making processes of both public and private organizations and acts as a best practice guide for design and implementation of innovative SC Mobility projects.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/03081060.2021.1992179 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:transp:v:44:y:2021:i:8:p:860-886

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/GTPT20

DOI: 10.1080/03081060.2021.1992179

Access Statistics for this article

Transportation Planning and Technology is currently edited by Dr. David Gillingwater

More articles in Transportation Planning and Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().