Using endemic road features to create self-explaining roads and reduce vehicle speeds.
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.
Charlton
Samuel G
SG
Traffic & Road Safety Research Group, School of Psychology, University of Waikato, Private Bag 3105, Hamilton, New Zealand. samiam@waikato.ac.nz
Mackie
Hamish W
HW
Baas
Peter H
PH
Hay
Karen
K
Menezes
Miguel
M
Dixon
Claire
C
D000054:Acceleration / Q000009:adverse effects; D000063:Accidents, Traffic / Q000517:prevention & control*; D002755:Choice Behavior; D002958:City Planning; D004779:Environment Design; D006801:Humans; D012307:Risk Factors; D012449:Safety