Analyzing transport mode choice for aging society in Thailand

Main Article Content

Thanapong Champahom
https://orcid.org/0000-0001-6258-496X
Sajjakaj Jomnonkwao
https://orcid.org/0000-0002-9369-2741
Watanya Nambulee
Pongrid Klungboonkrong
https://orcid.org/0000-0002-6721-9272
Ampol Karoonsoontawong
https://orcid.org/0000-0001-8691-138X
Vatanavongs Ratanavaraha

Abstract

This research aims to study the factors affecting elder’s transportation mode selection by considering 4 transportation types including bicycle or motorcycle, car and public transportation (which includes bus, taxi, and public motorcycle) in accordance with common transportation types in Thailand. The methodology used for analysis was a multinomial logistic regression of which independent variable was nominal scale and using a car to be the base model compared to the elderly people’s change of transportation mode for result interpretation. The study results concluded the common characteristics of aging mobility that travel frequency is less than once a week, travel time is the morning, and most of activities is shopping. The private car transportation should be improved for the convenience. In addition, motorcycle and bike lanes should be developed for serving aging people due to their less income, and travel time use which is less than 30 minutes. Furthermore, public transportation should be also enhanced to accommodate their travel activities such as going to the hospital, and shopping.

Article Details

How to Cite
Champahom, T., Jomnonkwao, S., Nambulee, W., Klungboonkrong, P., Karoonsoontawong, A., & Ratanavaraha, V. (2020). Analyzing transport mode choice for aging society in Thailand. Engineering and Applied Science Research, 47(4), 383–392. Retrieved from https://ph01.tci-thaijo.org/index.php/easr/article/view/239519
Section
ORIGINAL RESEARCH

References

United Nations. World population prospects: The 2015 revision. Working Paper No. ESA/P/WP.241. New York: United Nations; 2015.

National Statistical Office of Thailand. The 2014 survey of the older persons in Thailand (Population Statatistic Group). Bangkok: National Statistical Office; 2014.

Mollenkopf H, Mercellini F, Ruoppila I, Flaschentrager P, Gagliardi C, Spazzafumo L. Outdoor mobility and social relationships of elderly people. Arch Gerontol Geriatr. 1997;24:295-310.

Burkhardt JE. Mobility changes their nature, effects, and meaning for elders who reduce or cease driving. Transport Res Rec. 1999;1671(1):11-8.

Metz DH. Mobility of older people and their quality of life. Transport Pol. 2000;7:149-52.

Banister D, Bowling A. Quality of life for the elderly: the transport dimension. Transport Pol. 2004;11(2): 105-15.

Lord S, Després C, Ramadier T. When mobility makes sense: a qualitative and longitudinal study of the daily mobility of the elderly. J Environ Psychol. 2011;31(1):52-61.

Srichuae S, Nitivattananon V, Perera R. Aging society in Bangkok and the factors affecting mobility of elderly in urban public spaces and transportation facilities. IATSS Res. 2016;40(1):26-34.

Foundation of Thai Gerontology Research and Development Institute. Situation of the Thai elderly [Internet]. Bangkok: TGRI; 2014 [cited 2019 Feb 23] Available from: http://thaitgri.org/?p=37626.

Foundation of Thai Gerontology Research and Development Institute. Situation of the Thai elderly 2010. Bangkok: TGRI; 2010.

Rahman MM, Strawderman L, Adams-Price C, Turner JJ. Transportation alternative preferences of the aging population. Travel Behav Soc. 2016;4:22-8.

Mercado R, Páez A. Determinants of distance traveled with a focus on the elderly: a multilevel analysis in the Hamilton CMA, Canada. J Transport Geogr. 2009;17(1):65-76.

Hjorthol R. Winter weather – an obstacle to older people’s activities?. J Transport Geogr. 2013;28:186-91.

Nordbakke S. Capabilities for mobility among urban older women: barriers, strategies and options. J Transport Geogr. 2013;26:166-74.

Burnett P, Lucas S. Talking, walking, riding and driving: The mobilities of older adults. J Transport Geogr. 2010;18(5):596-602.

Alsnih R, Hensher DA. The mobility and accessibility expectations of seniors in an aging population. Transport Res Pol Pract. 2003;37(10):903-16.

Feng J, Dijst M, Wissink B, Prillwitz J. The impacts of household structure on the travel behaviour of seniors and young parents in China. J Transport Geogr. 2013;30:117-26.

Pa´ez A, Scott D, Potoglou D, Kanaroglou P, Bruce Newbold K. Elderly mobility: demographic and spatial analysis of trip making in the Hamilton CMA, Canada. Urban Stud. 2007;44(1):123-46.

Su F, Bell MGH. Transport for older people: characteristics and solutions. Res Transport Econ. 2009;25(1):46-55.

Kim S. Assessing mobility in an aging society: personal and built environment factors associated with older people’s subjective transportation deficiency in the US. Transport Res F Traffic Psychol Behav. 2011;14(5):422-9.

de Abreu e Silva J, Morency C, Goulias KG. Using structural equations modeling to unravel the influence of land use patterns on travel behavior of workers in Montreal. Transport Res Pol Pract. 2012;46(8):1252-64.

Ding Y, Lu H. Activity participation as a mediating variable to analyze the effect of land use on travel behavior: a structural equation modeling approach. J Transport Geogr. 2016;52:23-8.

Hu HH, Lee K. Travel patterns of the eldrly: the role of land use. California: School of Policy, Planning, and Development University of Southern California; 2003.

Schmöcker JD, Quddus MA, Noland RB, Bell MGH. Mode choice of older and disabled people: a case study of shopping trips in London. J Transport Geogr. 2008;16(4):257-67.

Hjorthol RJ, Levin L, Sirén A. Mobility in different generations of older persons. J Transport Geogr. 2010;18(5):624-33.

Ipingbemi O. Travel characteristics and mobility constraints of the elderly in Ibadan, Nigeria. J Transport Geogr. 2010;18(2):285-91.

Lyons G, Urry J. Travel time use in the information age. Transport Res Pol Pract. 2005;39(2-3):257-76.

Spinney JEL, Scott DM, Newbold KB. Transport mobility benefits and quality of life: a time-use perspective of elderly Canadians. Transport Pol. 2009;16(1):1-11.

Petridou E, Polychronopoulou A, Dounis E, Tsampira P, Revinthi K, Trichopoulos D. Risk factors for injuries among the elderly in Greece. Accid Anal Prev. 1996;28(3):333-8.

Koh PP, Leow BW, Wong YD. Mobility of the elderly in densely populated neighbourhoods in Singapore. Sustain Cities Soc. 2015;14:126-32.

Chudyk AM, Winters M, Moniruzzaman M, Ashe MC, Gould JS, McKay H. Destinations matter: the association between where older adults live and their travel behavior. J Transp Health. 2015;2(1):50-7.

O׳Hern S, Oxley J. Understanding travel patterns to support safe active transport for older adults. J Transp Health. 2015;2(1):79-85.

Chen Y, Liu T, Liu W. Increasing the use of large-scale public open spaces: a case study of the North Central Axis Square in Shenzhen, China. Habitat Int. 2016;53: 66-77.

Yung EHK, Conejos S, Chan EHW. Social needs of the elderly and active aging in public open spaces in urban renewal. Cities. 2016;52:114-22.

Yung EHK, Conejos S, Chan EHW. Public open spaces planning for the elderly: the case of dense urban renewal districts in Hong Kong. Land Use Pol. 2016;59:1-11.

Broberg T, Dukic Willstrand T. Safe mobility for elderly drivers-considerations based on expert and self-assessment. Accid Anal Prev. 2014;66:104-13.

Lefrancios R, D'Amours M. Exposure and risk factors among elderly drivers: a case-control study. Accid Anal Prev. 1997;29(3):267-75.

Dianne P, Lorraine M, Patrick R, Paul S. Elderly drivers and their accidents: the aging driver questionnaire. Accid Anal Prev. 2000;32: 751-759.

Z. Jun, L. Joan, C. Kathy, R. Glenn, and M. Yang. Factors affecting the severity of motor vehicle traffic crashes involving elderly drivers in Ontario. Accid Anal Prev. 2000;32:117-25.

Hong K, Lee KM, Jang SN. Incidence and related factors of traffic accidents among the older population in a rapidly aging society. Arch Gerontol Geriatr. 2015;60(3):471-7.

Rogé J, Ndiaye D, Vienne F. Useful visual field training: a way to improve elderly car drivers’ ability to detect vulnerable road users. Transport Res F Traffic Psychol Behav. 2014;26:246-57.

Per-Arne R, Liisa HB. Older drivers’ aberrant driving behaviour, impaired activity, and health as reasons for self-imposed driving limitations. Transport Res F Traffic Psychol Behav. 2002;5:47-62.

Baldock MR, Mathias JL, McLean AJ, Berndt A. Self-regulation of driving and its relationship to driving ability among older adults. Accid Anal Prev. 2006;38(5):1038-45.

Schwarze A, Ehrenpfordt I, Eggert F. Workload of younger and elderly drivers in different infrastructural situations. Transport Res F Traffic Psychol Behav. 2014;26:102-15.

Hirsch JA, Winters M, Clarke PJ, Ste-Marie N, McKay HA. The influence of walkability on broader mobility for Canadian middle aged and older adults: an examination of walk score and the mobility over varied environments scale (MOVES). Prev Med. 2017;95S: S60-7.

Hui ECM, Yu KH. Residential mobility and aging population in Hong Kong. Habitat Int. 2009;33(1):10-4.

Moniruzzaman M, Páez A. Accessibility to transit, by transit, and mode share: application of a logistic model with spatial filters. J Transport Geogr. 2012;24:198-205.

Ichikawa M, Nakahara S, Takahashi H. The impact of transportation alternatives on the decision to cease

driving by older adults in Japan. Transportation. 2015;43(3):443-53.

Department of Older Persons. Thai Older Statistics. Bangkok: Department of Older Persons; 2019 [cited 2019 Feb 23]. Available form: http://www.dop.go.th/th/know/1/159.

Chen C, Zhang G, Liu XC, Ci Y, Huang H, Ma J, et al. Driver injury severity outcome analysis in rural interstate highway crashes: a two-level Bayesian logistic regression interpretation. Accid Anal Prev. 2016;97:69-78.

Washington SP, Karlaftis MG, Mannering FL. Statistic and economethic methods for transportation data analysis. 3rd ed. New York: CRC Press; 2003.

Siridhara S, Paonoi W, Meeyai S, Ratanavaraha V. Container transport mode choice analysis with a binary logit model case study: Northeastern Thailand. Eng Appl Sci Res. 2019;46(3):256-66.

McCluskey A, Lalkhen AG. Statistics IV: interpreting the results of statistical tests. Cont Educ Anaesth Crit Care Pain. 2007;7(6):208-12.

de Jong VMT, Eijkemans MJC, van Calster B, Timmerman D, Moons KGM, Steyerberg EW, et al. Sample size considerations and predictive performance of multinomial logistic prediction models. Stat Med. 2019;38(9):1601-19.

Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol. 1996;49(12):1373-9.

Kim S, Ulfarsson GF. Travel mode choice of the elderly: effects of personal, household, neighborhood, and trip characteristics. Transport Res Rec. 2004;1894(1):117-26.

Shao C, Xia JC, Lin TG, Goulias KG, Chen C. Logistics regression models for the nearest train station choice: a comparison of captive and non-captive stations. Case Stud Transp Policy. 2015;3(4):382-91.

Amrapala C, Choocharukul K. Comparative study of travel behavior between Thai and Japanese informal transport users: a case study of Silor services in the Sukhumvit area. Eng Appl Sci Res. 2019;46(4):349-59.

Rith M, Abad RP, Fillone AM, Doi K, Biona JBM. Understanding the impact of urban form attributes on household vehicle ownership and choice in metro Manila: modeling, simulation, and application. Eng Appl Sci Res. 2019;46(3):238-47.