Subway System Usage by Elderly: Application of a Hybrid Choice Model

Document Type : Research

Authors

1 Assistant Professor, Department of Civil Engineering, K. N. Toosi University of Technology, Tehran, Iran.

2 Department of Civil Engineering, K. N. Toosi University of Technology, Tehran, Iran.

3 Ph.D. Candidate, Department of Civil Engineering, K. N. Toosi University of Technology, Tehran, Iran.

Abstract

In the context of increasing aging in the cities, elderlies with different characteristics such as sociodemographic, mental, and physical problems may face many barriers to their mobility. We need new mathematical models to understand and predict how different factors affect the subway system, which helps older adults to eliminate their obstacles and experience a flexible and independent trip while using the subway system. This research provides a comprehensive methodology for identifying the factors and calculate their impact on subway usage in three steps, namely survey design, model estimation, and forecasting subway usage by elderlies with different characteristics. To achieve this purpose, we use stated preference data gathered from elderly people in Tehran during April and May 2021. To estimate the model, we calculate the elderly’s attitudes and features toward subway choice and anticipate subway usage through a hybrid discrete choice model. The findings from the case study indicate that improving mental satisfaction followed by facility and service coverage satisfaction and education will increase the probability of elderly’s subway usage. By contrast, physical problems, staff services and lack of facilities, aging, illness, and high income had adverse effects.

Keywords

References

[1] Nations, U. (2015). World Population Ageing. Report. World Population Ageing.
[2] Oizumi, K., Kajiwara, H., & Aratame, N. (2006). Facing up to the problem of population aging in developing countries: new perspectives for assistance and cooperation. Report. Tokyo: Institute for International Cooperation, Japan International Cooperation Agency (JICA).  
[3] Sundling, C., Berglund, B., Nilsson, M. E., Emardson, R., & Pendrill, L. R. (2014). Overall accessibility to traveling by rail for the elderly with and without functional limitations: The whole-trip perspective. International journal of environmental research and public health, 11(12), 12938-12968.
https://doi.org/10.3390/ijerph111212938  
[4] Cheshmberah, A., Hoseini, M., Shojaee Zadeh, D., & Moghimi-Dehkordi, B. (2014). Determinants of physical health of older people in Iran. International Scholarly Research Notices, 2014.
https://doi.org/10.1155/2014/507568  
[5] Yong, V., Saito, Y., & Chan, A. (2010). Changes in the prevalence of mobility limitations and mobile life expectancy of older adults in Singapore, 1995-2005. Journal of aging and health, 22(1), 120-140.
https://doi.org/10.1177/0898264309351932  
[6] Satariano, W. A., Guralnik, J. M., Jackson, R. J., Marottoli, R. A., Phelan, E. A., & Prohaska, T. R. (2012). Mobility and aging: new directions for public health action. American journal of public health, 102(8), 1508-1515.
https://doi.org/10.2105/AJPH.2011.300631  
[7] Shrestha, B. P., Millonig, A., Hounsell, N. B., & McDonald, M. (2017). Review of public transport needs of older people in European context. Journal of population ageing, 10, 343-361.
https://doi.org/10.1007/s12062-016-9168-9  
[8] Metz, D. (2003). Transport policy for an ageing population. Transport reviews, 23(4), 375-386.
https://doi.org/10.1080/0144164032000048573  
[9] Srichuae, S., Nitivattananon, V., & Perera, R. (2016). Aging society in Bangkok and the factors affecting mobility of elderly in urban public spaces and transportation facilities. Iatss Research, 40(1), 26-34.
https://doi.org/10.1016/j.iatssr.2015.12.004  
[10] Gabriel, Z., & Bowling, A. N. N. (2004). Quality of life from the perspectives of older people. Ageing & Society, 24(5), 675-691.
https://doi.org/10.1017/S0144686X03001582  
[11] Páez, A., Scott, D., Potoglou, D., Kanaroglou, P., & Newbold, K. B. (2007). Elderly mobility: demographic and spatial analysis of trip making in the Hamilton CMA, Canada. Urban Studies, 44(1), 123-146.
https://doi.org/10.1080/00420980601023885  
[12] Rosenbloom, S. (2004). Mobility of the Elderly. Transportation in an Aging Soceity, 3-21.  
[13] Spinney, J. E., Scott, D. M., & Newbold, K. B. (2009). Transport mobility benefits and quality of life: A time-use perspective of elderly Canadians. Transport policy, 16(1), 1-11.
https://doi.org/10.1016/j.tranpol.2009.01.002  
[14] Kim, S. (2011). Assessing mobility in an aging society: Personal and built environment factors associated with older people's subjective transportation deficiency in the US. Transportation research part F: traffic psychology and behaviour, 14(5), 422-429.
https://doi.org/10.1016/j.trf.2011.04.011  
[15] Mercado, R., Páez, A., & Newbold, K. B. (2010). Transport policy and the provision of mobility options in an aging society: a case study of Ontario, Canada. Journal of Transport Geography, 18(5), 649-661.
https://doi.org/10.1016/j.jtrangeo.2010.03.017  
[16] Wretstrand, A., Svensson, H., Fristedt, S., & Falkmer, T. (2009). Older people and local public transit: Mobility effects of accessibility improvements in Sweden. Journal of Transport and Land Use, 2(2), 49-65.
https://doi.org/10.5198/jtlu.v2i2.87  
[17] Truong, L. T., & Somenahalli, S. (2011, September). Exploring mobility of older people: a case study of Adelaide. In Proceedings of the Australasian Transport Research Forum, Adelaide, Australia.  
[18] Gagliardi, C., Spazzafumo, L., Marcellini, F., Mollenkopf, H., Ruoppila, I., Tacken, M., & Szemann, Z. (2007). The outdoor mobility and leisure activities of older people in five European countries. Ageing & Society, 27(5), 683-700.
https://doi.org/10.1017/S0144686X07006198  
[19] Hakamies-Blomqvist, L. (2004). Safety of older persons in traffic. Transportation in an aging society: A decade of experience. Technical Papers and Reports from a Conference. Transportation Research Board, 22-35.  
[20] Choo, S., & Mokhtarian, P. L. (2004). What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice. Transportation Research Part A: Policy and Practice, 38(3), 201-222.
https://doi.org/10.1016/j.tra.2003.10.005  
[21] Kim, S., & Ulfarsson, G. F. (2004). Travel mode choice of the elderly: effects of personal, household, neighborhood, and trip characteristics. Transportation Research Record, 1894(1), 117-126.
https://doi.org/10.3141/1894-13  
[22] Yuan, Y., Yang, M., Wu, J., Rasouli, S., & Lei, D. (2019). Assessing bus transit service from the perspective of elderly passengers in Harbin, China. International Journal of Sustainable Transportation, 13(10), 761-776.
https://doi.org/10.1080/15568318.2018.1512691  
[23] Shao, F., Sui, Y., Yu, X., & Sun, R. (2019). Spatio-temporal travel patterns of elderly people-A comparative study based on buses usage in Qingdao, China. Journal of Transport Geography, 76, 178-190.
https://doi.org/10.1016/j.jtrangeo.2019.04.001  
[24] Fatima, K., & Moridpour, S. (2019). Measuring public transport accessibility for elderly. In MATEC Web of Conferences (Vol. 259, p. 03006). EDP Sciences.
https://doi.org/10.1051/matecconf/201925903006  
[25] Du, M., Cheng, L., Li, X., & Yang, J. (2020). Factors affecting the travel mode choice of the urban elderly in healthcare activity: comparison between core area and suburban area. Sustainable cities and society, 52, 101868.
https://doi.org/10.1016/j.scs.2019.101868  
[26] Al-Rashid, M. A., Shamsul Harumain, Y. A., Goh, H. C., & Ahmad, Z. (2021). Psychosocial factors of public transport users and social inclusion implications among older women in Pakistan. Journal of Urban Planning and Development, 147(4), 04021046.
https://doi.org/10.1061/(ASCE)UP.1943-5444.0000727  
[27] Noor, N. F. M., Kadir Shahar, H., Hamid, T. A., Zainalaludin, Z., Ahmad, S. A., Rokhani, F. Z., ... & Akahbar, S. A. N. (2022). Understanding Travel Behavior and Sustainability of Current Transportation System for Older Adults in Malaysia: A Scoping Review. Sustainability, 14(21), 14140.
https://doi.org/10.3390/su142114140  
[28] Prasertsubpakij, D., & Nitivattananon, V. (2012). Evaluating accessibility to Bangkok Metro Systems using multi-dimensional criteria across user groups. IATSS research, 36(1), 56-65.
https://doi.org/10.1016/j.iatssr.2012.02.003  
[29] Ben-Akiva, M., McFadden, D., Train, K., Walker, J., Bhat, C., Bierlaire, M., ... & Munizaga, M. A. (2002). Hybrid choice models: Progress and challenges. Marketing Letters, 13(3), 163-175.
https://doi.org/10.1023/A:1020254301302  
[30] McFadden, D. (1986). The Choice Theory Approach to Market Research. Marketing Science, 5(4), 275-297.
https://doi.org/10.1287/mksc.5.4.275    
[31] Ben-Akiva, M. E., Lerman, S. R., & Lerman, S. R. (1985). Discrete choice analysis: theory and application to travel demand (Vol. 9). Massachusetts: MIT press.    
[32] Gärling, T. (1998). Behavioural assumptions overlooked in travel choice modelling. Travel Behaviour Research: Updating the state of play, 3-18.
https://doi.org/10.1016/B978-008043360-8/50001-7    
[33] Garson, G.D. (2013). Factor Analysis (Statistical Associates Blue Book Series). New York: Statistical Associates Publishing.  
[34] Floyd, F. J., & Widaman, K. F. (1995). Factor analysis in the development and refinement of clinical assessment instruments. Psychological assessment, 7(3), 286.
https://doi.org/10.1037/1040-3590.7.3.286  
 
Numerical Methods in Civil Engineering
Volume 7, Issue 3
March 2023
Pages 78-93

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History

  • Receive Date: 12 June 2022
  • Revise Date: 05 September 2022
  • Accept Date: 12 September 2022

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