Understanding effect of traffic and driver related characteristics on seat belt usage in Mumbai city using random parameter logit approach and time series analysis

Safety seat belt usage has been a great interest to the transportation community. Understanding factors that influence driver's decision of wearing a safety seat belt or not is essential in determining ways to enhance safety seat belt usage rate. A modeling approach is made to observe the trend of seat belt usage in Mumbai city and to understand the effect of vehicle type, ownership type, driver's sociodemographic, and environmental characteristics on safety seat belt usage in Mumbai City. Data were collected by roadside observational surveys at various locations in Mumbai during the years 2015 through 2018. The time series model estimate confirms declining trend of drivers not wearing safety seat belt. When vehicles are disaggregated into different build types, buses are found to be associated with no use of safety seat belt as compared to other type of vehicles, and even male drivers follow the same trend in the city. By using random parameter logit model unobserved heterogeneity was captured among individuals. Findings can be used by policymakers to develop intervention strategies to increase seat belt usage in Mumbai and other cities having similar traffic characteristics and social environment features.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:27

Enthalten in:

International journal of injury control and safety promotion - 27(2020), 4 vom: 09. Dez., Seite 458-464

Sprache:

Englisch

Beteiligte Personen:

Khaddar, Shivam [VerfasserIn]
Perumal, Vedagiri [VerfasserIn]
Gupta, Shivam [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Random parameter logit model
Road safety
Safety belt use
Time trend analysis

Anmerkungen:

Date Completed 14.09.2021

Date Revised 14.09.2021

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1080/17457300.2020.1810074

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM314090649