Smart City L’Aquila

An Application of the “Infostructure” Approach to Public Urban Mobility in a Post-Disaster Context

Journal Article (2017)
Author(s)

Enzo Falco (TU Delft - OLD Urban Renewal and Housing)

Ivano Malavolta (Vrije Universiteit Amsterdam)

Adam Radzimski (Adam Mickiewicz University, Gran Sasso Science Institute)

Stefano Ruberto (Gran Sasso Science Institute)

Ludovico Iovino (Gran Sasso Science Institute)

Francesco Gallo (Università degli Studi dell’Aquila)

Research Group
OLD Urban Renewal and Housing
Copyright
© 2017 E. Falco, Ivano Malavolta, Adam Radzimski, Stefano Ruberto, Ludovico Iovino, Francesco Gallo
DOI related publication
https://doi.org/10.1080/10630732.2017.1362901
More Info
expand_more
Publication Year
2017
Language
English
Copyright
© 2017 E. Falco, Ivano Malavolta, Adam Radzimski, Stefano Ruberto, Ludovico Iovino, Francesco Gallo
Research Group
OLD Urban Renewal and Housing
Issue number
1
Volume number
25 (2018)
Pages (from-to)
99-121
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Ever since the earthquake of April 6, 2009 hit the city of L’Aquila, Italy, the city has been facing major challenges in terms of social, physical, and economic reconstruction. The system of public urban mobility, the bus network, is no exception with its old bus fleet, non-user-friendly information, and poor scheduling. This paper argues that the public transportation system of L’Aquila could be improved towards smart mobility models without large infrastructure investment by leveraging the “infostructure” approach, digital technologies, open data, and open source software. This work presents the digitization and geo-referencing procedure, software architecture, and the web and mobile apps that have been developed to improve the information flow available to citizens and to increase the user-friendliness of the transportation system. Future research will seek to make use of the data and develop applications to perform a public transport accessibility analysis of major points of interest throughout the city.