Socio-demographic determinants of motorcycle speeding in Maha Sarakham, Thailand.
Thailand has the highest road traffic fatality rate in Southeast Asia, making road safety a critical public health concern. A 2015 World Health Organization (WHO) Report showed that speeding behavior was the most important determinant for road traffic crashes in Thailand. Here, we aimed to examine a...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2020-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0243930 |
| _version_ | 1818716564814299136 |
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| author | Vennis Hong Sage K Iwamoto Rei Goto Sean Young Sukhawadee Chomduangthip Natirath Weeranakin Akihiro Nishi |
| author_facet | Vennis Hong Sage K Iwamoto Rei Goto Sean Young Sukhawadee Chomduangthip Natirath Weeranakin Akihiro Nishi |
| author_sort | Vennis Hong |
| collection | DOAJ |
| description | Thailand has the highest road traffic fatality rate in Southeast Asia, making road safety a critical public health concern. A 2015 World Health Organization (WHO) Report showed that speeding behavior was the most important determinant for road traffic crashes in Thailand. Here, we aimed to examine associations of socio-demographic factors (gender, age, socioeconomic status) with self-reported motorcycle speeding behavior. Additionally, we examined a potential role of time discounting and risk preference as mediators in the association of socio-demographic factors with speeding. We used data obtained from the Mahasarakham University Social Network Survey 2018 (MSUSSS) (N = 150). We ran linear network autocorrelation models (lnam) to account for the data's social network structure. We found that males are more likely than females to engage in speeding behavior (β = 0.140, p = 0.001) and to discount the future (β = 5.175, p = 0.017). However, further causal mediation analysis showed that time discounting does not mediate the gender-speeding association (p for mediation = 0.540). Although socioeconomic status (subjective social class) was not associated with speeding (β = 0.039, p = 0.177), age was marginally associated with speeding (β = 0.005, p = 0.093). Future studies may consider using a larger sample. |
| first_indexed | 2024-12-17T19:21:16Z |
| format | Article |
| id | doaj.art-e10b665b77bb439887be4dbce68f3e48 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-17T19:21:16Z |
| publishDate | 2020-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-e10b665b77bb439887be4dbce68f3e482022-12-21T21:35:33ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-011512e024393010.1371/journal.pone.0243930Socio-demographic determinants of motorcycle speeding in Maha Sarakham, Thailand.Vennis HongSage K IwamotoRei GotoSean YoungSukhawadee ChomduangthipNatirath WeeranakinAkihiro NishiThailand has the highest road traffic fatality rate in Southeast Asia, making road safety a critical public health concern. A 2015 World Health Organization (WHO) Report showed that speeding behavior was the most important determinant for road traffic crashes in Thailand. Here, we aimed to examine associations of socio-demographic factors (gender, age, socioeconomic status) with self-reported motorcycle speeding behavior. Additionally, we examined a potential role of time discounting and risk preference as mediators in the association of socio-demographic factors with speeding. We used data obtained from the Mahasarakham University Social Network Survey 2018 (MSUSSS) (N = 150). We ran linear network autocorrelation models (lnam) to account for the data's social network structure. We found that males are more likely than females to engage in speeding behavior (β = 0.140, p = 0.001) and to discount the future (β = 5.175, p = 0.017). However, further causal mediation analysis showed that time discounting does not mediate the gender-speeding association (p for mediation = 0.540). Although socioeconomic status (subjective social class) was not associated with speeding (β = 0.039, p = 0.177), age was marginally associated with speeding (β = 0.005, p = 0.093). Future studies may consider using a larger sample.https://doi.org/10.1371/journal.pone.0243930 |
| spellingShingle | Vennis Hong Sage K Iwamoto Rei Goto Sean Young Sukhawadee Chomduangthip Natirath Weeranakin Akihiro Nishi Socio-demographic determinants of motorcycle speeding in Maha Sarakham, Thailand. PLoS ONE |
| title | Socio-demographic determinants of motorcycle speeding in Maha Sarakham, Thailand. |
| title_full | Socio-demographic determinants of motorcycle speeding in Maha Sarakham, Thailand. |
| title_fullStr | Socio-demographic determinants of motorcycle speeding in Maha Sarakham, Thailand. |
| title_full_unstemmed | Socio-demographic determinants of motorcycle speeding in Maha Sarakham, Thailand. |
| title_short | Socio-demographic determinants of motorcycle speeding in Maha Sarakham, Thailand. |
| title_sort | socio demographic determinants of motorcycle speeding in maha sarakham thailand |
| url | https://doi.org/10.1371/journal.pone.0243930 |
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