TY - JOUR
T1 - Road safety risk factors for non-motorised vehicle users in a Chinese city
T2 - an observational study
AU - Li, Qingfeng
AU - Yu, Sile
AU - Chen, Ting
AU - Bishai, David M.
AU - Bachani, Abdulgafoor
AU - Hyder, Adnan A.
N1 - Publisher Copyright:
© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.
PY - 2020/4/1
Y1 - 2020/4/1
N2 - Objective The objective of this study is to describe and analyse the prevalence of speeding, helmet use and red-light running among riders of non-motorised vehicles (NMVs) in Shanghai, China, with a focus on electric bikes (ebikes). Methods Observational studies were conducted in eight randomly selected locations in Shanghai. Descriptive statistics and a Cox proportional hazard (PH) model were used in the analyses. Findings A total of 14 828 NMVs were observed in November 2017. At the free flow sites, the average speed was 22.5 km/hour for ebikes and 13.4 km/hour for bicycles. 95.5% of ebikes run above 15 km/hour, the legal speed limit for NMVs in China and 83.8% above 20 km/hour, the maximum design speed for ebikes. Helmet wearing rate was 13.5% for ebike drivers and 9.4% for passengers. Riders of commercial ebikes were nearly three times more likely to wear a helmet than personal ebikes. 22.4% of ebikes were observed to run a red light. The Cox PH model showed that ebikes (vs bicycles), males (vs females), clear weather (vs cloudy, rainy and snowy), helmet users (vs nonusers) are associated with a higher hazard for running a red light. Conclusion To our knowledge, this study is among the first comprehensive evaluation of road user behaviours for NMVs in China. An effective intervention package including regulating ebike production to national standards, strengthening speed enforcement and passing legislation on mandatory helmet use for ebike users may be able to help.
AB - Objective The objective of this study is to describe and analyse the prevalence of speeding, helmet use and red-light running among riders of non-motorised vehicles (NMVs) in Shanghai, China, with a focus on electric bikes (ebikes). Methods Observational studies were conducted in eight randomly selected locations in Shanghai. Descriptive statistics and a Cox proportional hazard (PH) model were used in the analyses. Findings A total of 14 828 NMVs were observed in November 2017. At the free flow sites, the average speed was 22.5 km/hour for ebikes and 13.4 km/hour for bicycles. 95.5% of ebikes run above 15 km/hour, the legal speed limit for NMVs in China and 83.8% above 20 km/hour, the maximum design speed for ebikes. Helmet wearing rate was 13.5% for ebike drivers and 9.4% for passengers. Riders of commercial ebikes were nearly three times more likely to wear a helmet than personal ebikes. 22.4% of ebikes were observed to run a red light. The Cox PH model showed that ebikes (vs bicycles), males (vs females), clear weather (vs cloudy, rainy and snowy), helmet users (vs nonusers) are associated with a higher hazard for running a red light. Conclusion To our knowledge, this study is among the first comprehensive evaluation of road user behaviours for NMVs in China. An effective intervention package including regulating ebike production to national standards, strengthening speed enforcement and passing legislation on mandatory helmet use for ebike users may be able to help.
KW - China
KW - Non-motorized vehicles
KW - Shanghai
KW - ebikes
KW - road safety
UR - http://www.scopus.com/inward/record.url?scp=85063728931&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063728931&partnerID=8YFLogxK
U2 - 10.1136/injuryprev-2018-043071
DO - 10.1136/injuryprev-2018-043071
M3 - Article
C2 - 30926753
AN - SCOPUS:85063728931
SN - 1353-8047
VL - 26
SP - 116
EP - 122
JO - Injury Prevention
JF - Injury Prevention
IS - 2
ER -