Toggle Main Menu Toggle Search

Open Access padlockePrints

Spatial connectivity as a recovery process indicator: The L'Aquila earthquake

Lookup NU author(s): Dr Diana Maria Contreras Mojica



This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


The main objective of this paper is to prove that spatial connectivity can be an effective spatialindicator for monitoring and evaluating the recovery process after the event of an earthquake. Itintegrates variables such as distance, travel time and quality of public transport service. Wehypothesize that there is a relationship between the connectivity to the central business districtsin cities, and the satisfaction with the locations of new settlements assigned to the homelesspopulation during a recovery process. If this hypothesis holds true, then the satisfaction with newsettlements will be correlated with the inhabitants' preference to either stay, or to search for anew site. This will then support the evaluation of the success of a recovery process. To prove thisrelationship we investigated the twelve months recovery process in L'Aquila in Italy. Spatial datasets were used and analyzed using GIS. Fieldwork data and interviewswere conducted in order toinvestigate the satisfaction of persons living in newly established places outside of the city. Wecompared the strength of the desire of the interviewees tomove away, against the travel distanceand travel time to the city center. The statistical analysis reveals that the preference to search foranother place was significantly correlated with the distance between new settlements and thecity center of L'Aquila. To a lesser degree it was correlated with the travel time. The regressionindicated that the distance between the new settlements and the inner city strongly influencesthe preference to either stay or to move.

Publication metadata

Author(s): Contreras D, Blaschke T, Kienberger S, Zeil P

Publication type: Article

Publication status: Published

Journal: Technological Forecasting and Social Change

Year: 2013

Volume: 80

Issue: 9

Pages: 1782-1803

Print publication date: 14/01/2013

Online publication date: 07/12/2012

Date deposited: 15/04/2019

ISSN (print): 0040-1625

ISSN (electronic): 1873-5509

Publisher: Elsevier


DOI: 10.1016/j.techfore.2012.12.001


Altmetrics provided by Altmetric