Abstract
The notion of mobility within the geographical space was founded on the decisions and activities of humans, whether in their daily life or certain specific professions (railway stations, airports, hospitals). The state of the transport structure networks and the efficiency and quality of their functioning create a spatial heterogeneity which results in more or less uncomfortable access conditions for the movement between two locations, thus affecting travel time. Measurements obtained through complete microscopic simulations determine any increase in value in travel time, which in turn makes it possible to predict network performance within congestion situation (functional vulnerability). In this paper, the authors suggest a GIS method in under to evaluate the intrinsic degrees of vulnerability based on travel time in the road network of Tlemcen city (Algeria) as well as on the structural and functional state of the road network and the way length in order to optimize the travel time required for a hospital emergency service. This may reduce casualities, all too often caused by choosing an inappropriate route.
Full text
Permalink (doi)
Authors Affiliations
Sofiane Bounaceur* (1), Ahmed Boumediene (1), Hocine Nechniche (1), Ghouti Abdellaoui (2)
1. Université des Sciences et de la Technologie d’Oran Mohamed Boudiaf, Algérie
2. Université Abou-Bakr Belkaid, Algérie
* Corresponding author
Email: sofiane.bounaceur@univ-usto.dz
References
Agence Nationale d’Autoroute (A.N.A.T.) (2017), Un espace urbain de cohérence et de solidarité intercommunale. Étude de révision du schéma directeur de développement et d’urbanisme, Agence Nationale d’Autoroute, Algérie.
An S., Wang, J., Leng, J.Q. and Li, W. (2014), “Vulnerability of road network based on generalised travel time”, Proceedings of the Institution of Civil Engineers-Transport, vol. 168, no. 5, p. 425-433, Thomas Telford Ltd.
Asakura, Y. and Kashiwadani, M. (1991), “Road network reliability caused by daily fluctuation of traffic flow”, in 19th PTRC Summer Annual Meeting, University of Sussex, United Kingdom.
Bedel, O., Ferré, S. and Ridoux, O. (2010), “GEOLIS: A Logical Information System for the Organization and Search of Geo-Located Data”, Innovative Software Development in GIS, p. 151-187.
Chapelon, L. (1997), “Offre de transport et aménagement du territoire: évaluation spatio-temporelle des projets de modification de l’offre par modélisation multi-échelles des systèmes de transport”, PhD Thesis, François Rabelais University of Tours, 24 May 2018, https://cutt.ly/ueDoSJC.
Chapelon, L. (1998), “L’accessibilité aux grandes infrastructures de transport: analyse et modélisation”, in Nouvelles approches en géographie théorique et quantitative/Actes des troisièmes Rencontres Théo Quant tenues à Besançon les, no. 20, p. 157-166, Besançon, in French.
Curl, A., Nelson, J.D. and Anable, J. (2011), “Does accessibility planning address what matters? A review of current practice and practitioner perspectives”, Research in Transportation Business & Management, vol. 2, p. 3-11.
de Oliveira, E.L., da Silva Portugal, L. and Junior, W.P. (2014), “Determining critical links in a road network: vulnerability and congestion indicators”, Procedia-Social and Behavioral Sciences, vol. 162, p. 158-167.
Erath, A., Birdsall, J., Axhausen K.W. and Hajdin, R. (2009), “Vulnerability assessment methodology for Swiss road network”, Transportation Research Record: Journal of the Transportation Research Board, vol. 2137, p. 118-126.
Eusofe, Z. and Evdorides, H. (2017), Assessment of road safety management at institutional level in Malaysia: A case study, IATSS Research, vol. 41, no 4, p. 172-181.
Gleyze, J.F. (2005), “La vulnérabilité structurelle des réseaux de transport dans un contexte de risques”, PhD thesis, Paris 7 University, COGIT, 20 May 2018, https://cutt.ly/6eDoBxJ.
Gleyze, J.F. (2007), “Évaluation de la variété des chemins entre deux sommets d’un graphe–Le “nombre d’options équivalentes au plus court chemin””, The open archive HAL, 24 May 2018, https://cutt.ly/ueSyFFe.
Guagliardo, M.F. (2004), “Spatial accessibility of primary care: concepts, methods and challenges”, International Journal of Health Geographics, vol. 3, no. 1.
Guo, X.Y. and Xiong, W.T. (2014), “Classification of the Road Network Vulnerability Based on Fuzzy Clustering Method”, Advanced Materials Research, Trans Tech Publications, p. 1974-1983.
Jenelius, E. and Mattsson, L.G. (2012), “Road network vulnerability analysis of area- covering Disruptions: A grid-based approach with case study”, Transportation Research Part A, p. 746-760.
Jun, S., Jian-Yuan, L., Han, C. and Xi-Li, W. (2008), “Study on near-optimal path finding strategies in a road network”, Journal of Algorithms & Computational Technology, vol. 2, no. 3, p. 319-333.
Kim, S. and Yeo, H. (2016), “A flow-based vulnerability measure for the resilience of urban road network”, Procedia-Social and Behavioral Sciences, vol. 218, p. 13-23.
Lebacque, J.P., Aron, M. and Aquiléra, V (coord.) (2007), Modélisation du traffic – Actes du groupe de travail 2007, IFSTTAR, 128 p.
Maltinti, F., Melis, D. and Annunziata, F. (2011), “Methodology for vulnerability assessment of a road network”, paper presented at International Conference on Sustainable Design and Construction (ICSDC), 24 May 2018, https://cutt.ly/TeIid2C, p. 686-693.
Manche, Y. (2000), “Analyse spatiale et mise en place de système d’information pour l’évaluation de la vulnérabilité des territoires de montagnes face aux risques naturels”, PhD Thesis, Joseph Fourier University – Grenoble I.U.F.R. of Geography, 4 April 2018, https://cutt.ly/reDo8Uy.
Revaux, P. (2000), Methodological gateways between freight and passenger transport. Final report, Special School of Architecture and University of Cergy Pontoise, Department of Geography, Laboratory of Mobilities Networks Territories Environments.
Sullivan, J.L., Novak, D.C., Aultman-Hall, L. and Scott, D.M. (2010), “Identifying critical road segments and measuring system-wide robustness in transportation networks with isolating links: A link-based capacity-reduction approach”, Transportation Research Part A: Policy and Practice, p. 323-336.
Sunghoon, K. and Hwasoo, Y. (2016), “A Flow-based Vulnerability Measure for the Resilience of Urban Road Network”, 11th International Conference of the International Institute for Infrastructure Resilience and Reconstruction, Republic of Korea.
Viljoen, N.M. and Joubert, J.W. (2017), “The Road Most Travelled: The Impact of Urban Road Infrastructure on Supply Chain Network Vulnerability”, Networks and Spatial Economics, vol. 18, no. 1, p. 85-113.
This post has already been read 2833 times!
