Juan Carlos Garcia-Palomares

Dr. Juan Carlos Garcia-Palomares

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2017 in Tourism Management
Verified
Journal Article
Closed access
JGJavier Gutiérrez
Javier Gutiérrez
JGJuan Carlos Garcia-Palomares
Juan Carlos Garcia-Palomares
GRGustavo Romanillos
Gustavo Romanillos
MSMaría Henar Salas-Olmedo
María Henar Salas-Olmedo

1 November 2012 in Applied Geography
Verified
Journal Article
Closed access
JGJuan Carlos Garcia-Palomares
Juan Carlos Garcia-Palomares
JGJavier Gutiérrez
Javier Gutiérrez
MLMarta Latorre
Marta Latorre

1 May 2012 in Applied Geography
Verified
Journal Article
Closed access
OCOsvaldo Daniel Cardozo
Osvaldo Daniel Cardozo
JGJuan Carlos Garcia-Palomares
Juan Carlos Garcia-Palomares
JGJavier Gutiérrez
Javier Gutiérrez


1 November 2011 in Journal of Transport Geography
Verified
Journal Article
Closed access
JGJavier Gutiérrez
Javier Gutiérrez
OCOsvaldo Daniel Cardozo
Osvaldo Daniel Cardozo
JGJuan Carlos Garcia-Palomares
Juan Carlos Garcia-Palomares

1 February 2014 in Journal of Transport Geography
Verified
Journal Article
Open access
EREduardo Rodríguez-Núñez
Eduardo Rodríguez-Núñez
JGJuan Carlos Garcia-Palomares
Juan Carlos Garcia-Palomares
In the last years, studies on the vulnerability of public transport networks attract a growing attention because of the repercussions that incidents can have on the day-to-day functioning of a city. The aim of this paper is to develop a methodology for measuring public transport network vulnerability taking the Madrid Metro system as an example. The consequences of a disruptions of riding times or the number of missed trips are analysed for each of the network links with a full scan approach implemented in GIS (Geographic Information Systems). Using real trips distribution, each link in the network is measured for criticality, from which the vulnerability of lines and stations can be calculated. The proposed methodology also makes it possible to analyse the role of circular lines in network vulnerability and to obtain a worst-case scenario for the successive disruption of links by simulating a targeted attack on the network. Results show the presence of critical links in the southern part of the network, where line density is low and ridership high. They also highlight the importance of the circular line as an element of network robustness