Virtual reality as a new tool for transport data collection

Authors

DOI:

https://doi.org/10.5604/01.3001.0015.5392

Keywords:

means of transport, passenger safety, user behaviou, transport studies, virtual reality

Abstract

Transport studies that adopt complex analyses present methodological challenges that lead to the use of innovative techniques to address the limitations of traditional methods. In the Latin American context, people consider security as a relevant variable in their daily lives. Thus, when people travel around the city and choose a mode of transport, security becomes an important factor and should therefore be included in transport studies. However, the definition of security in terms of transport in the Colombian context remains unclear. Therefore, we examined the security perception effect on transport mode choice by addressing security as a latent variable consisting of three elements: environment, subject and transport mode. We proposed the use of virtual reality (VR) to recreate travel routes and offer participants a scenario of choice closer to the natural conditions of a trip. The participants were provided routes in the form of immersive 3D videos recreating natural trip conditions to identify their choices and travel behaviour. Recordings were made of daily scenarios and existing urban environments portraying real and active modes of transport, giving respondents an almost-natural experience. The use of 360-degree immersive videos offers a multisensory experience allowing both the capture of socioeconomic and travel information and the collection of journey perception. The experiment evaluated two environments in Medellín, Colombia (secure (E1) and insecure (E2)) and studied the effects of lighting conditions (day (D) and night (N)). A total of four videos (E1D, E1N, E2D and E2N) depicting six transport modes in tandem were assessed by 92 participants from Medellín and Bogotá, Colombia. We found that environment-associated security perception varies depending on the time of the journey (day/night) and one’s familiarity with the environment. The research results position VR as a tool that offers high potential to support transport studies. We found that people’s movements, gestures and expressions while participating in the VR experiments resembled what was expected from journeys in reality. VR constitutes a relevant tool for transport studies, as it allows for an assessment of active transport mode perceptions. It prevents participants from being exposed to the risk associated with travel to specific places and carries out several routes in different transport modes even when participants cannot or have never undertaken journeys in the modes under assessment.

References

ALEX, A.P., MANJU, V.S., ISAAC, K.P., 2019. Modelling of travel behaviour of students using artificial intelligence. Archives of Transport, 51(3), 7–19. https://doi.org/10.5604/01.3001.0013.6159.

ANIMESH, A., PINSONNEAULT, A., YANG, S.-B., OH, W., 2011. An odyssey into virtual worlds: Exploring the impacts of technological and spatial environments on intention to purchase virtual products. MIS Quarterly, 35(3), 789–810. https://doi.org/10. 2307/23042809.

AGUDELO, L., 2019. Los modelos híbridos de elección de modo en la planeación urbana incluyendo la variable latente seguridad [Tesis] de Doctorado en Ingeniería–Ingeniería Civil. Universidad Nacional de Colombia, Sede Medellín.

ÁREA METROPOLITANA DEL VALLE DE ABURRÁ -AMVA-, 2012. Encuesta Origen Destino de hogares para el Valle de Aburrá, Medellín.

AZIZ, H.A., 2018. Virtual reality programs applications in healthcare. Journal of Health and Medical Informatics, 09(1), 1–3. https://doi.org/10.4172/2157-7420.1000305.

BOGACZ, M., HESS, S., CHOUDHURYA, C., CALASTRIA, C., MUSHTAQ, F., AWAIS, M., VAN E.M., ERATH, A., 2020. Cycling in virtual reality: Modelling behaviour in an immersive environment. Transportation Letters, 1–15. https://doi.org/10.1080/19427 867.2020.1745358.

BOUCHARD, S., DUMOULIN, S., ROBILLARD, G., GUITARD, T., KLINGER, É, FORGET, H., LORANGER, C., ROUCAUT, F.X., 2017. Virtual reality compared with in vivo exposure in the treatment of social anxiety disorder: A three-arm randomised controlled trial. British Journal of Psychiatry, 210(4), 276–283. https://doi.org/10.1192/bjp. bp.116.184234.

BROOKES, J., WARBURTON, M., ALGHADIER, M., MON-WILLIAMS, M., MUSHTAQ, F., 2020. Studying human behavior with virtual reality: The Unity Experiment Framework. Behavior Research Methods, 52(2), 455–463. https://doi.org/10.3758/s134 28-019-01242-0.

CÓRDOBA, J. E., 2014. Automatic preferences in the choice of transport mode. Procedia-Social and Behavioral Sciences, 160, 381–389. https://doi.org/10.1016/j.sbspro.2014. 12.150.

DEB, S., CARRUTH, D.W., SWEEN, R., STRAWDERMAN, L., GARRISON, T.M., 2017. Efficacy of virtual reality in pedestrian safety research. Applied Ergonomics, 65, 449–460. http://doi.org/10.1016/j.apergo.2017.03. 007.

DELBOSC, A., CURRIE, G., 2012. Modelling the causes and impacts of personal safety perceptions on public transport ridership. Transport Policy, 24, 302–309. https://doi.org/ 10.1016/j.tranpol.2012.09.009.

ERATH, A., MAHESHWARI, T., JOOS, M., KUPFERSCHMID, J., VAN EGGERMOND, M.A.B., 2017. Visualizing transport futures: The potential of integrating procedural 3D modelling and traffic micro-simulation in virtual reality applications. Research Collection (pp. 2–23). https://doi.org/10.3929/ethz-b-000240771. ETH Zürich.

FAIOLA, A., NEWLON, C., PFAFF, M., SMYSLOVA, O., 2013. Correlating the effects of flow and telepresence in virtual worlds: Enhancing our understanding of user behavior in game-based learning. Computers in Human Behavior, 29(3), 1113–1121. https://doi.org/ 10.1016/j.chb. 2012.10.003.

FAROOQ, B., CHERCHI, E., SOBHANI, A. 2018. Virtual immersive reality for stated preference travel behavior experiments: A case study of autonomous vehicles on urban roads. Transportation Research Record, 2672(50), 35–45. https://doi.org/10.1177/0361198118776810.

FITCH, D., CANADA, K., CARY, S., FREESE, R., 2016. Facilitating social work role plays in online courses: The use of video conferencing. Advances in Social Work, 17(1), 78–92. https://doi.org/10.18060/20874.

FRANKENHUIS, W.E., DOTSCH, R., KARREMANS, J.C., WIGBOLDUS, D.H.J., 2010. Male physical risk taking in a virtual environment. Journal of Evolutionary Psychology, 8(1), 75–86. https://doi.org/10.1556/ JEP.8.2010.1.6.

GÓRSKI, F., 2017. Building virtual reality applications for engineering with knowledge-based approach. Management and Production Engineering Review, 8(4), 64–73. https://doi.org/10.1515/mper-2017-0037.

IGLESIAS, P., GREENE, M., ORTÚZAR, J. D., 2013. On the perception of safety in low income neighbourhoods: Using digital images in a stated choice experiment. En S. Hess A. Daly (Eds.), Choice modelling: The state of the art and the state of practice (pp. 193–210). Edward Elgar Publishing Ltd.

JENNETT, C., COX, A. L., CAIRNS, P., DHOPAREE, S., EPPS, A., TIJS, T., WALTON, A., 2008. Measuring and defining the experience of immersion in games. International Journal of Human-Computer Studies, 66(9), 641–661. https://doi.org/10.1016/j.ijhcs.2008. 04.004.

JUHÁSZ, M., MÁTRAI, T., KOREN, C., 2017. Forecasting travel time reliability in Ur-ban road transport. Archives of Transport, 43(3), 53–67. https://doi.org/10.5604/01. 3001.0010.4227.

KUZE, J., UKAI, K., 2008. Subjective evaluation of visual fatigue caused by motion images. Displays, 29(2), 159–166. https://doi.org/10. 1016/j.displa.2007.09.007.

LANZIERI, N., MCALPIN, E., SHILANE, D., SAMELSON, H., 2021. Virtual reality: An immersive tool for social work students to interact with community environments. Clinical Social Work Journal, 49, 1–13. https://doi.org/10.1007/s10615-021-00803-1.

LOOMIS, J.M., BLASCOVICH, J.J., BEALL, A.C., 1999. Immersive virtual environment technology as a basic research tool in psychology. Behavior Research Methods, Instruments, and Computers, 31(4), 557–564. https://doi.org/10.3758/bf03200735.

LÓPEZ-SÁEZ, M., LOIS, D., FERNÁNDEZ, I., MARTÍNEZ-RUBIO, J., 2014. Influential factors in the choice of public transportation or cars as the mode of transportation in habitual commutes/Factores que influyen en la elección del transporte público o el automóvil como modo de transporte en los desplazamientos habituales. Revista de Psicología Social, 29(2), 371–399. https://doi.org/10.1080/02134748.2014.9 18826.

MANTOVANI, F., CASTELNUOVO, G., GAGGIOLI, A., RIVA, G., 2003. Virtual reality training for health-care professionals. Cyberpsychology and Behavior, 6(4), 389–395. https://doi.org/10.1089/109493103322278772.

MOUSSA, G., RADWAN, E., HUSSAIN, K., 2012. Augmented reality vehicle system: Left-turn manoeuvre study. Transportation Research Part C, 21(1), 1–16. https://doi.org/10.1016/j. trc.2011.08.005.

MUJBER, T.S., SZECSI, T., HASHMI, M.S. J., 2004. Virtual reality applications in manufacturing process simulation. Journal of Materials Processing Technology, 155–156, 1834–1838. https://doi.org/10.1016/j.jmatprotec.2004.04.401.

NAH, F.F.-H., ESCHENBRENNER, B., DEWESTER, D., 2011. Enhancing brand equity through flow and telepresence: a comparison of 2D and 3-D VIRTUAL WORLDS. MIS Quarterly, 35(3), 731–747. https://doi.org/10.2307/ 23042806.

OECD, 2016. ORGANIZATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT, 2016. Reviews of Labour Market and social Policies. http://doi.org/10.1787/ 9789264244825-en. OECD Publishing Paris.

O’NEILL, M.J., 1992. Effects of familiarity and plan complexity on wayfinding in simulated buildings. Journal of Environmental Psychology, 12(4), 319–327. https://doi.org/10. 1016/S0272-4944(05)80080-5.

PATTERSON, Z., DARBANI, J.M., REZAEI, A., ZACHARIAS, J., YAZDIZADEH, A., 2017. Comparing text-only and virtual reality discrete choice experiments of neighbourhood choice. Landscape and Urban Planning, 157, 63–74. https://doi.org/10.1016/j.landurbplan.2016. 05.024.

PERONE, J., TUCKER, L., 2003. An exploration of triangulation of methodologies: Quantitative and qualitative methodology fusion in an investigation of perceptions of transit safety. National Center for Transportation Research.

PUELLO, L.L.P., GEURS, K., 2015. Modelling observed and unobserved factors in cycling to railway stations: Application to transit-oriented-developments in the Netherlands. European Journal of Transport and Infrastructure Research, 15(1), 27–50.

ROVIRA, A., SWAPP, D., SPANLANG, B., SLATER, M., 2009. The use of virtual reality in the study of 19 people’s responses to violent incidents. Frontiers in Behavioral Neuroscience, 3, 1–10. https://doi.org/10.3389/neuro.08.059.2009.

RUDDLE, R.A., PAYNE, S.J., JONES, D.M., 1997. Navigating buildings in virtual environments. Experimental investigations using ex-tended navigational experience. Journal of Experimental Psychology: Applied, 3(2), 143–159. https://doi.org/10.1037/1076-898X.3.2.143.

SLATER, M., ANTLEY, A., DAVISON, A., SWAPP, D., GUGER, C., BARKER, C., PISTRANG, N., SANCHEZ-VIVES, M.V., 2006. A virtual reprise of the Stanley Milgram obedience experiments. PLOS ONE, 1(1), e39. https://doi.org/10.1371/journal.pone.0000039.

SCHWEBEL, D.C., GAINES, J., SEVERSON, J., 2008. Validation of virtual reality as a tool to understand and prevent child pedestrian injury. Accident; Analysis and Prevention, 40(4), 1394–1400. https://doi.org/10.1016/j.aap.2008.03.005.

SILLANO, M., GREENE, M., ORTÚZAR, J. DE D., 2006. Percepción de seguridad en barrios de escasos recursos. Eure, 32, 17–35.

TLAUKA, M., WILSON, P.N., 1996. Orientation-free representations from navigation through a computer-simulated environment. Environment and Behavior, 28(5), 647–664. https://doi.org/10.1177/001391659602800504.

UNDERWOOD, G., CRUNDALL, D., CHAPMAN, P., 2011. Driving simulator validation with hazard perception. Transportation Research Part F, 14(6), 435–446. https://doi.org/10.1016/j.trf.2011.04.008.

WANN, J., MON-WILLIAMS, M., 1996. What does virtual reality NEED? Human factors issues in the design of three-dimensional computer environments. International Journal of Human-Computer Studies, 44(6), 829–847. https://doi.org/10.1006/ijhc.1996.0035.

WANG, Y., LIU, W., MENG, X., FU, H., ZHANG, D., KANG, Y., FENG, R., WEI, Z., ZHU, X., JIANG, G., 2016. Development of an immersive virtual reality head-mounted display with high performance. Applied Optics, 55(25), 6969–6977. https://doi.org/10.1364/AO.55. 006969.

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Published

2021-12-31

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Original articles

How to Cite

Agudelo-Vélez, A., Sarmiento-Ordosgoitia, I., & Córdoba-Maquilón, J. (2021). Virtual reality as a new tool for transport data collection. Archives of Transport, 60(4), 23-38. https://doi.org/10.5604/01.3001.0015.5392

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