Investigation of perceived risk encountered by electric vehicle drivers in distinct contexts

SCImago Journal Rank
2023: SJR=0.19

CWTS Journal Indicators
2023: SNIP=0.57

Vol.6, No.2, 2021: pp.69-79

INVESTIGATION OF PERCEIVED RISK ENCOUNTERED BY ELECTRIC VEHICLE DRIVERS IN DISTINCT CONTEXTS

Authors:

Lalit N. Patil¹

, Hrishikesh P. Khairnar²

^1,2Department of Mechanical Engineering, Veermata Jijabai Technological Institute (VJTI), Mumbai, India

https://doi.org/10.18485/aeletters.2021.6.2.4

Received: 24.04.2021.
Accepted: 04.06.2021.
Available: 30.06.2021.

Abstract:

Not only pollution concerns, but also the rising prices of fuel used in conventional vehicles are enforcing people to make use of electric vehicles. In spite of numerous advantages such as pollution‐free, noiseless smooth drive; there may be the new possibility of difficulties occurring due to the quiet nature of electric vehicles (EVs). To examine this, it was intended to conduct an extensive questionnaire survey with 398 driver participants to acquire technical data at Mumbai Metropolitan Region (MMR). The analysis used a well‐proven driver behaviour questionnaire (DBQ) built on a six‐point scale to statistically evaluate driver behaviour responses to perceived risk. This study aims to evaluate the perceived risk encountered by drivers that influence road safety by considering age group, driving experience, and gender. A systematic ANOVA approach was employed to evaluate the significant factors. The results show that the perceived risk is different based on the gender of the driver, especially when parking the vehicle (p=0.000, F=10.11716>Fcrit). The moderate difficulty level for identifying the presence of electric vehicles is present in almost all situations; however, no significant difference was recorded based on gender, age, and driving experience in the rest of the cases. The outcome of the proposed work would be useful while designing the safety policy for electric vehicles.

Keywords:

ANOVA, Driver’s Perception, Electric Vehicles, Driver Behaviour , Road Safety

References:

[1] V. Gijre, S. Gupta, Urban transport governance practice and challenges in an emerging economy – case study of India. Transportation Research Procedia, 48, 2020: 2435‐2445. https://doi.org/10.1016/j.trpro.2020.08.293
[2] N.A.B. Mabahwi, O.L.H. Leh, D. Omar, Human health and wellbeing: human health effect of air pollution. Procedia ‐ Social and Behaviour al Sciences, 153, 2014: 221‐229. https://doi.org/10.1016/j.sbspro.2014.10.056
[3] D. Farooq, J. Juhasz, Statistical Evaluation of Risky Driver Behaviour Factors that Influence Road Safety based on Drivers Age and Driving Experience in Budapest and Islamabad. European Transport, 80 (2), 2020: 1‐18.
[4] J. Jagnoor, S. Prinja, H. Nguyen, B.J. Gabbe, M. Peden, R.Q. Ivers, Mortality and health‐related quality of life following injuries and associated factors: a cohort study in Chandigarh, North India. Injury Prevention, 26 (4), 2020: 315‐323. https://doi:10.1136/injuryprev‐2019‐043143
[5] L.N. Patil, H.P. Khairnar, Investigation of human safety based on pedestrian perceptions associated to silent nature of electric vehicle. Evergreen, 08 (02), 2021: 00‐00.
[6] M. del C. Pardo‐Ferreira, J.C. Rubio‐Romero, F.C. Galindo‐Reyes, A. Lopez‐Arquillos, Work‐related road safety: The impact of the low noise levels produced by electric vehicles according to experienced drivers. Safety Science, 121, 2020: 580‐588. https://doi.org/10.1016/j.ssci.2019.02.021
[7] A. Pandey, M. Brauer, M. L. Cropper, K. Balakrishnan, P. Mathur, S. Dey, B. Turkgulu, G. A. Kumar, M. Khare, G. Beig, T. Gupta, Health and economic impact of air pollution in the states of India: the Global Burden of Disease Study 2019. The Lancet Planetary Health, 5 (1), 2021: e25–e38.
[8] B. Sudhakara Reddy, P. Balachandra, Urban mobility: A comparative analysis of megacities of India. Transport Policy, 21, 2012: 152‐164. https://doi:10.1016/j.tranpol.2012.02.002
[9] V. Gulati, National electric mobility mission plan 2020, Department of Heavy Industry. Ministry of Heavy Industries & Public Enterprises, Government of India, 2012.
[10] H. He, C. Wang, H. Jia, X. Cui, An intelligent braking system composed single‐pedal and multi‐objective optimization neural network braking control strategies for electric vehicle. Applied Energy, 259, 2020: 114172.
https://doi:10.1016/j.apenergy.2019.114172
[11] L. Steinbach, M. E. Altinsoy, Influence of an artificially produced stationary sound of electrically powered vehicles on the safety of visually impaired pedestrians. Applied Acoustics, 165, 2020: 107290. https://doi:10.1016/j.apacoust.2020.107290
[12] A. Dwarakanath, M. W. Elliott, Assessment of Sleepiness in Drivers. Sleep Medicine Clinics, 14 (4), 2019: 441‐451. https://doi:10.1016/j.jsmc.2019.08.003
[13] V. Gitelman, F. Pesahov, R. Carmel, Speed perception by drivers as dependent on urban street design; a case‐study. ToTS, 11(2), 2020: 5‐18. https://doi:10.5507/tots.2020.002
[14] S. Velmurugan, S. Padma, E. Madhu, S. Anuradha, S. Gangopadhyay, A study of factors influencing the severity of road crashes involving drunk drivers and non drunk drivers. Research in Transportation Economics, 38 (1), 2013: 78‐83.
https://doi:10.1016/j.retrec.2012.05.01
[15] Y.J. Yasin, M. Grivna, F.M. Abu‐Zidan, Reduction of pedestrian death rates: a missed global target. World J Emerg Surg, 15(1), 2020. https://doi:10.1186/s13017‐020‐00315‐2
[16] NHTSA, National Motor Vehicle Crash Causation Survey: Report to Congress. NHTSA, 2008, p.47.
[17] P. Papaioannou, Driver behaviour, dilemma zone and safety effects at urban signalised intersections in Greece. Accident Analysis & Prevention, 39 (1), 2007: 147‐158. https://doi:10.1016/j.aap.2006.06.014
[18] Q. Yuan, H. Yang, J. Huang, S. Kou, Y. Li, A. Theofilatos, What factors impact injury severity of vehicle to electric bike crashes in China?. Advances in Mechanical Engineering, 9 (8), 2017: 168781401770054.
https://doi:10.1177/1687814017700546
[19] European Commission (2016), Annual Accident Report. European Commission, Directorate General for Transport. European Commission, 2016.
[20] F. Ekman, M. Johansson, M. Karlsson, H. Strömberg, L.‐O. Bligård, Trust in what? Exploring the interdependency between an automated vehicle’s driving style and traffic situations. Transportation research part F: traffic psychology and behaviour, 2021: p.13.
[21] K. Sangkharat, J. E. Thornes, P. Wachiradilok, and F. D. Pope, Determination of the impact of rainfall on road accidents in Thailand. Heliyon, 7 (2), 2021: e06061. https://doi:10.1016/j.heliyon.2021.e06061
[22] Y. Park, M. Garcia, Pedestrian safety perception and urban street settings. International Journal of Sustainable Transportation, 14 (11), 2020: 860‐871. https://doi:10.1080/15568318.2019.1641577
[23] C. Cabrera‐Arnau, R. Prieto Curiel, S. R. Bishop, Uncovering the behaviour of road accidents in urban areas. Royal Society open science, 7 (4), 2020: 191739. https://doi:10.1098/rsos.191739
[24] D. Mahata, P.K. Narzary, D. Govil, Spatio‐temporal analysis of road traffic accidents in Indian large cities. Clinical Epidemiology and Global Health, 7 (4), 2019: 586‐591. https://doi:10.1016/j.cegh.2019.01.005
[25] J.M. Lyman, G. McGwin, R.V. Sims, Factors related to driving difficulty and habits in older drivers. Accident Analysis & Prevention, 33 (3), 2001: 413‐421. https://doi:10.1016/S0001‐4575(00)00055‐5
[26] M. Vollrath, T. Meilinger, H. P. Krüger, How the presence of passengers influences the risk of a collision with another vehicle. Accident Analysis & Prevention, 34 (5), 2002:649‐654. https://doi:10.1016/S0001‐4575(01)00064‐1
[27] J. Parmar, P. Das, F. Azad, S. Dave, R. Kumar, Evaluation of Parking Characteristics: A case study of Delhi. Transportation Research Procedia, 48, 2020: 2744‐2756. https://doi:10.1016/j.trpro.2020.08.242
[28] T. Richter, S. Ruhl, J. Ortlepp, E. Bakaba, Causes, consequences and countermeasures of overtaking accidents on two‐lane rural roads. Transportation Research Procedia, 25, 2017: 1989‐2001. https://doi:10.1016/j.trpro.2017.05.395
[29] T. Richter, J. Sachs, Turning accidents between cars and trucks and cyclists driving straight ahead. Transportation Research Procedia, 25, 2017: 1946–1954. https://doi:10.1016/j.trpro.2017.05.219
[30] S. Kulanthayan, W. K. Phang, K. S. Hayati, Traffic light violation among motorists in malaysia. IATSS Research, 31 (2), 2007: 67‐73. https://doi:10.1016/S0386‐1112(14)60224‐7
[31] R. Fu, Y. Guo, W. Yuan, H. Feng, and Y. Ma, The correlation between gradients of descending roads and accident rates. Safety Science, 49 (3), 2011: 416‐423. https://doi:10.1016/j.ssci.2010.10.006
[32] U. Sandberg, Adding noise to quiet electric and hybrid vehicles: An electric issue. Acoustics Australia, 2012, p.10.
[33] A.K. Joshi, C. Joshi, M. Singh, V. Singh, Road traffic accidents in hilly regions of northern India: What has to be done?. World Journal of Emergency Medicine, 5 (2), 2014: 112‐115. https://doi:10.5847/wjem.j.issn.1920‐8642.2014.02.006
[34] M. F. Hichim, A. S. Khusheef, S. Hasan, The Effects of Driver Age and Gender on Vehicle Stopping Distance Under Different Speeds. European Transport, 80 (1), 2020: p.11.
[35] L. Maffei, M. Masullo, Electric Vehicles and Urban Noise Control Policies. Archives of Acoustics, 39 (3), 2015: 333‐341. https://doi:10.2478/aoa‐2014‐0038
[36] H. Singh, A. Kathuria, Analyzing driver behaviour under naturalistic driving conditions: A review. Accident Analysis & Prevention, 150, 2021: 105908. https://doi:10.1016/j.aap.2020.105908
[37] I. Dirnbach, T. Kubjatko, E. Kolla, J. Ondruš, Ž. Šarić, Methodology designed to evaluate accidents at intersection crossings with respect to forensic purposes and transport sustainability. Sustainability, 12 (5), 2020:1972.
https://doi.org/10.3390/su12051972
[38] L. N. Patil, H. P. Khairnar, Assessing Impact of Smart Brake Blending to Improve Active Safety Control by Using Simulink. Applied Engineering Letters, 6 (1), 2021: 29‐38. https://doi:10.18485/aeletters.2021.6.1.4

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)

Volume 9
Number 4
December 2024

How to Cite

L.N. Patil, H.P. Khairnar, Investigation of Perceived Risk Encountered by Electric Vehicle Drivers in Distinct Contexts. Applied Engineering Letters, 6(2), 2021: 69–79.
https://doi.org/10.18485/aeletters.2021.6.2.4

More Citation Formats

APA

Patil, L. N., & Khairnar, H. P. (2021). Investigation of Perceived Risk Encountered by Electric Vehicle Drivers in Distinct Contexts. Applied Engineering Letters, 6(2), 69–79.
https://doi.org/10.18485/aeletters.2021.6.2.4

MLA

Patil, Lalit N., and Hrishikesh P. Khairnar. “Investigation of Perceived Risk Encountered by Electric Vehicle Drivers in Distinct Contexts.” Applied Engineering Letters, vol. 6, no. 2, 2021, pp. 69–79,
https://doi.org/10.18485/aeletters.2021.6.2.4.

Chicago

Patil, Lalit N., and Hrishikesh P. Khairnar. 2021. “Investigation of Perceived Risk Encountered by Electric Vehicle Drivers in Distinct Contexts.” Applied Engineering Letters 6 (2): 69–79.
https://doi.org/10.18485/aeletters.2021.6.2.4.

Harvard

Patil, L.N. and Khairnar, H.P. (2021). Investigation of Perceived Risk Encountered by Electric Vehicle Drivers in Distinct Contexts. Applied Engineering Letters, 6(2), pp.69–79. doi: 10.18485/aeletters.2021.6.2.4.