Network Inefficiency: Empirical Findings for Six European Cities

Lisa S. Hamm, Allister Loder, Gabriel Tilg, Monica Menendez, Klaus Bogenberger

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

When planning road networks, inhomogeneous traffic conditions and the effects of multimodal interactions are often neglected. This can lead to a substantial overestimation of network capacities. Empirical macroscopic fundamental diagrams (MFDs) or volume delay relationships show considerable scatter, reflecting a reduction in network performance and an inefficient use of infrastructure. The implication is that the external costs of vehicular (car) traffic get underestimated, when planning traffic capacities and speeds based on optimal rather than on real estimates. In this paper, we contribute with an explorative and empirical approach to analyze network inefficiency and quantify its drivers. We propose to measure network efficiency by introducing the idea of excess delays for the MFD. We define excess delays as the difference between the observed speed and the optimal network speed at a given density. We apply the concept to traffic data sets of six European cities that differ in the data collection method and we use quantile regression methods for analysis. We find that excess delays are present in every data set and increase with the road network’s traffic load. We further confirm the intuition that traffic signal control, network loading, and multimodality influence the level of network inefficiency. The excess delay formula allows quantifying this information in a simple way and provides additional insights apart from the standard MFD model. The approach supports planners to obtain better real-world and less optimistic speed predictions for traffic analyses and suggests shifting urban transport to more spatially and temporally efficient modes.

Original languageEnglish (US)
Title of host publicationTransportation Research Record
PublisherSAGE Publications Ltd
Pages99-111
Number of pages13
Edition8
DOIs
StatePublished - Aug 2022

Publication series

NameTransportation Research Record
Number8
Volume2676
ISSN (Print)0361-1981
ISSN (Electronic)2169-4052

Keywords

  • operations
  • traffic control

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering

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