5596146
doi
10.35940/ijeat.C6574.029320
oai:zenodo.org:5596146
Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP)
Publisher
Gulab Singh Bura
Assistant Professor, Department of Statistics, Banasthali Vidyapith, Jaipur, Rajasthan, India
Estimation of Economic Loss Due to Road Traffic Injuries using Human Capital Method
Ankit Singh
Research Scholar, Department of Statistics, Banasthali Vidyapith, Jaipur, Rajasthan, India
issn:2249-8958
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Economic burden, Human capital approach, Injuries, Road traffic accidents.
<p>In the present scenario, Road traffic accidents (RTAs) become an alarming problem over the globe as they leads to approx. 2.6% total loss of country’s gross domestic product (GDP). It is considered as one of the leading cause of mortalities, disabilities and morbidities due to road accidents in developing countries like India. To enable governments to take policy decisions on road safety, it is necessary that good research is undertaken to estimate the cost of accidents. This study will help government to take decisions while planning investment on road safety, facilities on roads, awareness signs and board etc. Meanwhile, estimation and evaluation of economic loss due to RTAs will help governments to frame policy and take important decisions within limited economic resources. Apart from humanitarian losses, there is increase in economic loss due to RTAs because most of the victims involved in accidents are from productive age groups of a society. The main objective of this study is to estimate the cost components of road accidents in two major districts namely Haridwar and Dehradun, Uttarakhand, India. The methodologies for such studies generally vary according to traffic pattern, number of accidents, black spots, population etc. This study makes use of an empirical approach as Cost benefit Analysis consist of Human Capital Approach for cost estimation which provides a vast understanding of the problem for hilly scenario. Secondary data were taken from Transport Research Wing, Government of Uttarakhand for all road accidents from 2016 to 2018 and primary data were collected from randomly selected victims through structured questionnaire and informed consent.</p>
Zenodo
2020-02-29
info:eu-repo/semantics/article
5596145
1635256124.557845
399244
md5:09fa92f30ab6b857171c4f363cbd6cff
https://zenodo.org/records/5596146/files/C6574029320.pdf
public
2249-8958
Is cited by
issn
International Journal of Engineering and Advanced Technology (IJEAT)
9
3
4423-4427
2020-02-29