A Conceptual Framework for an Integrated Information System to Enhance Urban Mobility

Sérgio-Pedro Duarte, Jorge Pinho de Sousa and Jorge Freire de Sousa
Additional contact information
Sérgio-Pedro Duarte: INESC TEC, Faculty of Engineering, University of Porto, Portugal
Jorge Pinho de Sousa: INESC TEC, Faculty of Engineering, University of Porto, Portugal
Jorge Freire de Sousa: INESC TEC, Faculty of Engineering, University of Porto, Portugal

International Journal of Decision Support System Technology (IJDSST), 2021, vol. 13, issue 4, 1-17

Abstract: The multiplicity of stakeholders in urban contexts can greatly increase the complexity of transportation systems. Since all stakeholders depend, to varying degrees, on the same data to get the information for their mobility, this work considers that an integrated information system, focused on their different needs, will significantly improve the efficiency of transportation systems. A stakeholder-focused system makes the provided information more relevant, while an integrated system fosters the sharing of the data that generates this information. To build such a system, a conceptual framework focused on stakeholders and their decision processes was developed. This new framework takes advantage of existing ones, such as the Zachman framework, the Enterprise Architecture Design, and the Multilevel Service Design. The proposed multidisciplinary approach, putting together information systems (IS) and service design concepts, has considerable potential in ensuring that the right information reaches each stakeholder at the right time.

Date: 2021
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJDSST.2021100103 (application/pdf)

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:igg:jdsst0:v:13:y:2021:i:4:p:1-17

Access Statistics for this article

International Journal of Decision Support System Technology (IJDSST) is currently edited by Shaofeng Liu

More articles in International Journal of Decision Support System Technology (IJDSST) from IGI Global
Bibliographic data for series maintained by Journal Editor ().