Exploring the relationship between the spatial distribution of roads and universal pattern of travel-route efficiency in urban road networks

TL;DR

This study uncovers universal spatial patterns in travel-route efficiency across 70 global cities, revealing a consistent detour index behavior linked to core-periphery road structures, with implications for urban planning.

Contribution

It introduces a novel spatial analysis of the detour index in urban road networks, highlighting universal patterns and the influence of core-periphery structures supported by a new artificial network model.

Findings

Universal DI behavior across cities regardless of radial distance

Collapse of DI data into a single curve for various radii

Core-periphery structure induces observed universal pattern

Abstract

Urban road networks are well known to have universal characteristics and scale-invariant patterns, despite the different geographical and historical environments of cities. Previous studies on universal characteristics of the urban road networks mostly have paid attention to their network properties but often ignored the spatial networked structures. To fill the research gap, we explore the underlying spatial patterns of road networks. In doing so, we inspect the travel-route efficiency in a given road network across 70 global cities which provides information on the usage pattern and functionality of the road structure. The efficiency is quantified by the detour patterns of the travel routes, estimated by the detour index (DI). The DI is a long-standing popular measure, but its spatiality has been barely considered so far. In this study, we probe the behavior of DI with respect to spatial variables by scanning the network radially from a city center. Through empirical analysis, we first discover universal properties in DI throughout most cities, which are summarized as a constant behavior of DI regardless of the radial position from a city center and clear collapse into a single curve for DIs for various radii with respect to the angular distance. Especially, the latter enables us to know the scaling factor in the length scale. We also reveal that the core-periphery spatial structure of the roads induces the universal pattern, which is supported by an artificial road network model. Furthermore, we visualize the spatial DI pattern on the city map to figure out the city-specific characteristics. The most and least efficient connections of several representative cities show the potential for practical implications in analyzing individual cities.