The Relationship Between Work-Related Factors, Risky Behaviors, and Major Accidents Among Motorcycle Food Delivery Riders (MFDR) in Thailand

Author:

Kwangsukstith Siriaran1,Surawattanasakul Vithawat1ORCID,Mahakkanukrauh Chollada1,Panumasvivat Jinjuta1,Sirikul Wachiranun1,Kitro Amornphat1

Affiliation:

1. Chiang Mai University Faculty of Medicine

Abstract

Abstract Motorcycle food delivery riders (MFDR) are more susceptible to traffic collisions when compared to regular motorcyclists. Their safety is a major concern in many developing countries, especially Thailand, which has the highest rate of motorcyclist fatalities in the world. This cross-sectional study aimed to identify the prevalence of accidents, hospitalization, involvement in risky behaviors, and concerning problems among MFDR and determine factors associated with accidents. The data were collected from 709 MFDR in Chiang Mai, Thailand. The prevalence of any accidents among MFDR in the past six months was 18.9% which can be categorized into 4.9% minor injuries, 2.4% hospitalized major injuries, and 11.6% non-hospitalized major injuries. 84.3% of them engaged in at least one risky behavior and 5.8% of them engaged in ten or more risky behaviors. The most frequent risky behavior was using the mobile phone while riding (78.8%), While the least frequent risky behavior not wearing a helment (9.3%). Multivariable logistic regression analysis indicates that the factors associated with the major accidents were running a red light (aOR 2.78, 95%CI 1.07 to 7.21) and having concerns for customer behavior (aOR 2.66, 95%CI 1.26 to 5.62). The factors associated with any accidents (both major and minor accidents) were sleeping < 6 hours/day (aOR 2.13, 95%CI 1.41 to 3.21) and working ≥ 48 hours/week (aOR 1.72, 95%CI 1.04 to 2.83) To reduce the rate and severity of traffic accidents, the government and the delivery firms should provide effective strategies and targeted interventions focusing on the reduction of risky behaviors and other modifiable risk factors.

Publisher

Research Square Platform LLC

Reference43 articles.

1. Mobile phone use while driving and the risk of collision: A study among preparatory year students at King Saud University, Riyadh, Saudi Arabia;Al-Jasser FS;J Family Community Med,2018

2. Barber C, Charman SA. (2018). Enhancing understanding on safe motorcycle and three-wheeler use for rural transport Literature Review.

3. Bavani M. (2021). Demanding customers force us to break traffic rules, say riders. Retrieved from https://www.thestar.com.my/metro/metro-news/2021/03/23/demanding-customers-force-us-to-break-traffic-rules-say-riders. Retrieved 2023 Jan 8 https://www.thestar.com.my/metro/metro-news/2021/03/23/demanding-customers-force-us-to-break-traffic-rules-say-riders.

4. Characteristics of crashes and injuries on delivery motorcycles: A retrospective cohort study;Choi SJ;Traffic Inj Prev,2022

5. Injury severity in delivery-motorcycle to vehicle crashes in the Seoul metropolitan area;Chung Y;Accid Anal Prev,2014

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