Straightness of rectilinear vs. radio-concentric networks: modeling simulation and comparison
- Others:
- Laboratoire Informatique d'Avignon (LIA) ; Avignon Université (AU)-Centre d'Enseignement et de Recherche en Informatique - CERI
- Études des Structures, des Processus d'Adaptation et des Changements de l'Espace (ESPACE) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Avignon Université (AU)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)
- Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)
- PEPS MoMIS
Description
This paper proposes a comparison between rectilinear and radio-concentric networks. Indeed, those networks are often observed in urban areas, in several cities all over the world. One of the interesting properties of such networks is described by the \textit{straightness} measure from graph theory, which assesses how much moving from one node to another along the network links departs from the network-independent straightforward path. We study this property in both rectilinear and radio-concentric networks, first by analyzing mathematically routes from the center to peripheral locations in a theoretical framework with perfect topology, then using simulations for multiple origin-destination paths. We show that in most of the cases, radio-concentric networks have a better straightness than rectilinear ones. How may this property be used in the future for urban networks?
Abstract
International audience
Additional details
- URL
- https://hal.science/hal-01367824
- URN
- urn:oai:HAL:hal-01367824v1
- Origin repository
- UNICA