Abstract
GIS application for the evaluation of accessibility indicators of the road network between two hospitals: Case study - Tlemcen City (Algeria)
Highlights
The relevant question to be raised is: how to identify the best possible routes in a road network, as it is vast and diverse
Different approaches can be used in this context according to different methods based on specific criteria, with accessibility measured based on gravity being the most important
The case study focuses on particular points, in order to select the better road between the two hospitals: - System theory, which provides the methodological keys facilitating the identification of the critical elements in a road network given their configurations; - Graph theory to design the transport network; - Multi-agent systems, to represent users as agents with various characteristics and rules of behaviour (Chapelon, 1998)
Summary
The relevant question to be raised is: how to identify the best possible routes in a road network, as it is vast and diverse. Studies conducted by Agence Nationale d’Autoroute (2017) revealed that 35% of deaths occur when taking a wrong way, chosen due to inadequate evaluation of the traffic that particular day. It might be fruitful for health researchers to match the spatial-temporal representation of inhabitants of various communities showing the availability of hospitals to better identify gaps and disparities in its spatial-temporal accessibility (Guagliardo, 2004). Road traffic is characterized by a set of criteria namely travel time, road network structure state, and congestion These criteria provide indices of vulnerability or criticality of the components (Manche, 2000). The vulnerability of the road network differs depending on the time during a day due to different traffic states conditions, such as free traffic and/or congestion (Eusofe et al, 2017; Gleyze, 2007)
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