Literature DB >> 20728653

Using endemic road features to create self-explaining roads and reduce vehicle speeds.

Samuel G Charlton1, Hamish W Mackie, Peter H Baas, Karen Hay, Miguel Menezes, Claire Dixon.   

Abstract

This paper describes a project undertaken to establish a self-explaining roads (SER) design programme on existing streets in an urban area. The methodology focussed on developing a process to identify functional road categories and designs based on endemic road characteristics taken from functional exemplars in the study area. The study area was divided into two sections, one to receive SER treatments designed to maximise visual differences between road categories, and a matched control area to remain untreated for purposes of comparison. The SER design for local roads included increased landscaping and community islands to limit forward visibility, and removal of road markings to create a visually distinct road environment. In comparison, roads categorised as collectors received increased delineation, addition of cycle lanes, and improved amenity for pedestrians. Speed data collected 3 months after implementation showed a significant reduction in vehicle speeds on local roads and increased homogeneity of speeds on both local and collector roads. The objective speed data, combined with residents' speed choice ratings, indicated that the project was successful in creating two discriminably different road categories. 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20728653     DOI: 10.1016/j.aap.2010.06.006

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  5 in total

1.  Controlled before-after intervention study of suburb-wide street changes to increase walking and cycling: Te Ara Mua-Future Streets study design.

Authors:  A K Macmillan; H Mackie; J E Hosking; K Witten; M Smith; A Field; A Woodward; R Hoskins; J Stewart; B van der Werf; P Baas
Journal:  BMC Public Health       Date:  2018-07-09       Impact factor: 3.295

Review 2.  Self-explaining roads: What does visual cognition tell us about designing safer roads?

Authors:  Jan Theeuwes
Journal:  Cogn Res Princ Implic       Date:  2021-03-04

3.  Are shared streets acceptable to pedestrians and drivers? Evidence from Virtual Reality experiments.

Authors:  Lurong Xu; Taeho Oh; Inhi Kim; Xiaojian Hu
Journal:  PLoS One       Date:  2022-04-15       Impact factor: 3.240

4.  The societal costs and benefits of commuter bicycling: simulating the effects of specific policies using system dynamics modeling.

Authors:  Alexandra Macmillan; Jennie Connor; Karen Witten; Robin Kearns; David Rees; Alistair Woodward
Journal:  Environ Health Perspect       Date:  2014-02-04       Impact factor: 9.031

5.  Quantifying the Effects of Visual Road Information on Drivers' Speed Choices to Promote Self-Explaining Roads.

Authors:  Yuting Qin; Yuren Chen; Kunhui Lin
Journal:  Int J Environ Res Public Health       Date:  2020-04-03       Impact factor: 3.390

  5 in total

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