title: Pedestrian gestures increase driver yielding at uncontrolled mid-block road crossings.
abstract: To protect pedestrians, many countries give them priority at uncontrolled mid-block crosswalks or pedestrian crossings. However, the actual driver yielding rate is not always satisfactory (only 3.5% in this study). To increase the yielding rate, this study proposed eleven pedestrian gestures to inform drivers of their intent to cross. The gestures were evaluated based on the process of human interaction with environment. Four gestures were selected as candidates to test in field experiments based on scores for visibility, clarity, familiarity and courtesy (see illustration in Fig. 2): (1) right elbow bent with hands erect and palm facing left (R-bent-erect), (2) left elbow bent with hands level and palm facing left (L-bent-level), (3) left arm extended straight to left side with palm erect facing left (L-straight-erect), and (4) a 'T' gesture for "Time-out". In the experiment, confederate pedestrians waiting at the roadside displayed the gestures (baseline: no gesture) to 420 vehicles at 5 sites in Beijing, China. When pedestrians used the L-bent-level gesture, the vehicle yielding rate more than tripled of that in the baseline condition. The L-bent-level gesture also resulted in a significant decrease in driving with unchanged speed (63.5-38.8%) and had no significant side effects in terms of drivers' horn use or lane changing. The effects of such gestures in other contexts such as when pedestrians are in the crosswalk and when they are interacting with turning vehicles are discussed, together with the applications in training vulnerable pedestrian groups (children or elderly) and facilitating pedestrian detection by drivers.
authors.affiliation: Chinese Academy of Sciences, China.
authors.forename: Xiangling
authors.initials: X
authors.lastname: Zhuang
authors.affiliation: Chinese Academy of Sciences, China; State University of New York at Buffalo, United States. Electronic address: changxu.wu@gmail.com.
authors.forename: Changxu
authors.initials: C
authors.lastname: Wu
mesh_terms: D000056:Accident Prevention / Q000379:methods*; D000063:Accidents, Traffic / Q000517:prevention & control*; D000328:Adult; D001334:Automobile Driving / Q000523:psychology* / Q000706:statistics & numerical data; D004779:Environment Design; D005260:Female; D005868:Gestures; D006801:Humans; D008297:Male; D008875:Middle Aged; D016138:Walking
keywords: Pedestrian gestures; Persuasion; Road and street crossings; Uncontrolled mid-block crosswalks; Yield rate