Measurement Invariance of Expectations Toward Sustainable Public Transport Service Quality Among Urban and Rural Older Adults
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This study examines measurement invariance of expectations toward sustainable public transport service quality between urban and rural older adults in Thailand. Using second-order confirmatory factor analysis, data were collected from 1,189 elderly respondents across Thailand's four major regions through face-to-face interviews. The measurement framework incorporated eleven service quality dimensions: nine traditional attributes (Vehicle, Bus Stop, Accessibility, Convenience, Information, Staff, Safety and Security, Reliability, and Affordability) and two extended dimensions (Older's Facilities and Post-Pandemic Prevention). Results demonstrated successful measurement invariance, confirming that the eleven-factor structure operates equivalently across urban and rural contexts. Universal priorities emerged for Convenience, Staff quality, and Reliability, while rural elderly showed elevated importance for Safety and Security. The validation of Older's Facilities and Post-Pandemic Prevention as distinct dimensions establishes empirical support for incorporating age-inclusive design and health protection measures as permanent components of sustainable transport planning, justifying unified national standards while accommodating regional variations for Thailand's aging population.
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[1] United Nations. (2020). World Population Ageing 2019. United Nations, New York, United States. doi:10.18356/6a8968ef-en.
[2] Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A Conceptual Model of Service Quality and Its Implications for Future Research. Journal of Marketing, 49(4), 41. doi:10.2307/1251430.
[3] Barabino, B., Deiana, E., & Tilocca, P. (2012). Measuring service quality in urban bus transport: A modified SERVQUAL approach. International Journal of Quality and Service Sciences, 4(3), 238–252. doi:10.1108/17566691211269567.
[4] De Oña, J., & De Oña, R. (2015). Quality of service in public transport based on customer satisfaction surveys: A review and assessment of methodological approaches. Transportation Science, 49(3), 605–622. doi:10.1287/trsc.2014.0544.
[5] Wong, R. C. P., Szeto, W. Y., Yang, L., Li, Y. C., & Wong, S. C. (2017). Elderly users’ level of satisfaction with public transport services in a high-density and transit-oriented city. Journal of Transport and Health, 7, 209–217. doi:10.1016/j.jth.2017.10.004.
[6] 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(4), 343–361. doi:10.1007/s12062-016-9168-9.
[7] 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. doi:10.1080/15568318.2018.1512691.
[8] Lieophairot, R., Rojniruttikul, N., & Chaveesuk, S. (2025). Factors Influencing Rail Service Passenger Loyalty Among Older Thai Adults. Sustainability (Switzerland), 17(18), 8240. doi:10.3390/su17188240.
[9] Broome, K., Worrall, L., Fleming, J., & Boldy, D. (2013). Evaluation of age-friendly guidelines for public buses. Transportation Research Part A: Policy and Practice, 53, 68–80. doi:10.1016/j.tra.2013.05.003.
[10] Hounsell, N. B., Shrestha, B. P., McDonald, M., & Wong, A. (2016). Open Data and the Needs of Older People for Public Transport Information. Transportation Research Procedia, 14, 4334–4343. doi:10.1016/j.trpro.2016.05.355.
[11] Berg, J., & Ihlström, J. (2019). The importance of public transport for mobility and everyday activities among rural residents. Social Sciences, 8(2), 58. doi:10.3390/socsci8020058.
[12] Ponrahono, Z., Bachok, S., Ibrahim, M., & Osman, M. M. (2016). Assessing Passengers’ Satisfaction Level on Bus Services in Selected Urban and Rural Centres of Peninsular Malaysia. Procedia - Social and Behavioral Sciences, 222, 837–844. doi:10.1016/j.sbspro.2016.05.183.
[13] Wisutwattanasak, P., Champahom, T., Jomnonkwao, S., Aryuyo, F., Se, C., & Ratanavaraha, V. (2023). Examining the Impact of Service Quality on Passengers’ Intentions to Utilize Rail Transport in the Post-Pandemic Era: An Integrated Approach of SERVQUAL and Health Belief Model. Behavioral Sciences, 13(10), 789. doi:10.3390/bs13100789.
[14] Wong, R. C. P., Szeto, W. Y., Yang, L., Li, Y. C., & Wong, S. C. (2018). Public transport policy measures for improving elderly mobility. Transport Policy, 63, 73–79. doi:10.1016/j.tranpol.2017.12.015.
[15] Cui, H., Li, M., Zhu, M., & Ma, X. (2023). Investigating the Impacts of Urban–Rural Bus Service Quality on Rural Residents’ Travel Choices Using an SEM–MNL Integration Model. Sustainability (Switzerland), 15(15), 11950. doi:10.3390/su151511950.
[16] Jahangir, S., Bailey, A., Hasan, M. M. U., & Hossain, S. (2024). Inequalities in accessing public transportation and social exclusion among older adults and people with disabilities in Bangladesh: A scoping review. Transportation Research Interdisciplinary Perspectives, 26. doi:10.1016/j.trip.2024.101138.
[17] Tirachini, A., & Cats, O. (2020). COVID-19 and public transportation: Current assessment, prospects, and research needs. Journal of Public Transportation, 22(1). doi:10.5038/2375-0901.22.1.1.
[18] Dong, H., Ma, S., Jia, N., & Tian, J. (2021). Understanding public transport satisfaction in post COVID-19 pandemic. Transport Policy, 101, 81–88. doi:10.1016/j.tranpol.2020.12.004.
[19] Chuenyindee, T., Ong, A. K. S., Ramos, J. P., Prasetyo, Y. T., Nadlifatin, R., Kurata, Y. B., & Sittiwatethanasiri, T. (2022). Public utility vehicle service quality and customer satisfaction in the Philippines during the COVID-19 pandemic. Utilities Policy, 75. doi:10.1016/j.jup.2022.101336.
[20] Vandenberg, R. J., & Lance, C. E. (2000). A Review and Synthesis of the Measurement Invariance Literature: Suggestions, Practices, and Recommendations for Organizational Research. Organizational Research Methods, 3(1), 4–69. doi:10.1177/109442810031002.
[21] Putnick, D. L., & Bornstein, M. H. (2016). Measurement invariance conventions and reporting: The state of the art and future directions for psychological research. Developmental Review, 41, 71–90. doi:10.1016/j.dr.2016.06.004.
[22] Champahom, T., Chonsalasin, D., Dangbut, A., Watcharamaisakul, F., Jomnonkwao, S., & Ratanavaraha, V. (2025). Elderly travelers’ expectations of high-speed railway services in Thailand: A comparative study of leisure and other purposes. Travel Behaviour and Society, 39, 100984. doi:10.1016/j.tbs.2025.100984.
[23] Hadiuzzman, M., Das, T., Hasnat, M. M., Hossain, S., & Rafee Musabbir, S. (2017). Structural equation modeling of user satisfaction of bus transit service quality based on stated preferences and latent variables. Transportation Planning and Technology, 40(3), 257–277. doi:10.1080/03081060.2017.1283155.
[24] Zhang, C., Liu, Y., Lu, W., & Xiao, G. (2019). Evaluating passenger satisfaction index based on PLS-SEM model: Evidence from Chinese public transport service. Transportation Research Part A: Policy and Practice, 120, 149–164. doi:10.1016/j.tra.2018.12.013.
[25] Fu, X., & Juan, Z. (2017). Understanding public transit use behavior: integration of the theory of planned behavior and the customer satisfaction theory. Transportation, 44(5), 1021–1042. doi:10.1007/s11116-016-9692-8.
[26] Ministry of Social Development and Human Security. (2024). Situation of the Thai Older Persons 2023. Department of Older Persons, Ministry of Social Development and Human Security, Bangkok, Thailand. (In Thai).
[27] Thaithatkul, P., Chalermpong, S., Laosinwattana, W., & Kato, H. (2022). Mobility, Activities, and happiness in old Age: Case of the elderly in Bangkok. Case Studies on Transport Policy, 10(2), 1462–1471. doi:10.1016/j.cstp.2022.05.010.
[28] 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. doi:10.1016/j.iatssr.2015.12.004.
[29] Bhuiya, M. M. R., Hasan, D. M. M. U., & Jones, D. S. (2022). Accessibility of movement challenged persons and challenges faced by their escorting family members – A Case Study of Dhaka, Bangladesh. Journal of Transport and Health, 24, 101323. doi:10.1016/j.jth.2021.101323.
[30] Rahman, D. (2019). Inclusive urban transport for vulnerable groups: The case of Dhaka City. Master Thesis, Brac University, Dhaka, Bangladesh.
[31] Gkiotsalitis, K., & Cats, O. (2021). Public transport planning adaption under the COVID-19 pandemic crisis: literature review of research needs and directions. Transport Reviews, 41(3), 374–392. doi:10.1080/01441647.2020.1857886.
[32] OTP. (2020). Thailand’s 20-year transportation development strategic plan (2018–2037). Office of Transport and Traffic Policy and Planning (OTP), Bangkok, Thailand. (In Thai).
[33] Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1993). The nature and determinants of customer expectations of service. Journal of the Academy of Marketing Science, 21(1), 1–12. doi:10.1177/0092070393211001.
[34] Parasuraman, A., Berry, L. L., & Zeithaml, V. A. (1993). More on improving service quality measurement. Journal of Retailing, 69(1), 140–147. doi:10.1016/S0022-4359(05)80007-7.
[35] Bakar, M. F. A., Norhisham, S., Katman, H. Y., Fai, C. M., Azlan, N. N. I. M., & Samsudin, N. S. S. (2022). Service Quality of Bus Performance in Asia: A Systematic Literature Review and Conceptual Framework. Sustainability (Switzerland), 14(13), 7998. doi:10.3390/su14137998.
[36] Ojo, T. K. (2019). Quality of public transport service: an integrative review and research agenda. Transportation Letters, 11(2), 104–116. doi:10.1080/19427867.2017.1283835.
[37] Chaisomboon, M., Jomnonkwao, S., & Ratanavaraha, V. (2020). Elderly users’ satisfaction with public transport in Thailand using different importance performance analysis approaches. Sustainability (Switzerland), 12(21), 9066. doi:10.3390/su12219066.
[38] Deb, S., & Ali Ahmed, M. (2018). Determining the service quality of the city bus service based on users’ perceptions and expectations. Travel Behaviour and Society, 12, 1–10. doi:10.1016/j.tbs.2018.02.008.
[39] Shen, W., Xiao, W., & Wang, X. (2016). Passenger satisfaction evaluation model for Urban rail transit: A structural equation modeling based on partial least squares. Transport Policy, 46, 20–31. doi:10.1016/j.tranpol.2015.10.006.
[40] Sun, S., Fang, D., & Cao, J. (2020). Exploring the asymmetric influences of stop attributes on rider satisfaction with bus stops. Travel Behaviour and Society, 19, 162–169. doi:10.1016/j.tbs.2020.01.004.
[41] Sum, S., Champahom, T., Jomnonkwao, S., & Ratanavaraha, V. R. (2019). An application of importance-performance analysis (IPA) for evaluating city bus service quality in Cambodia. International Journal of Building, Urban, Interior and Landscape Technology, 13, 55-66.
[42] Das, S., & Pandit, D. (2015). Determination of level-of-service scale values for quantitative bus transit service attributes based on user perception. Transportmetrica A: Transport Science, 11(1), 1–21. doi:10.1080/23249935.2014.910563.
[43] Güner, S. (2018). Measuring the quality of public transportation systems and ranking the bus transit routes using multi-criteria decision making techniques. Case Studies on Transport Policy, 6(2), 214–224. doi:10.1016/j.cstp.2018.05.005.
[44] Lin, D., & Cui, J. (2021). Transport and mobility needs for an ageing society from a policy perspective: Review and implications. International Journal of Environmental Research and Public Health, 18(22), 11802. doi:10.3390/ijerph182211802.
[45] Esmailpour, J., Aghabayk, K., Abrari Vajari, M., & De Gruyter, C. (2020). Importance – Performance Analysis (IPA) of bus service attributes: A case study in a developing country. Transportation Research Part A: Policy and Practice, 142, 129–150. doi:10.1016/j.tra.2020.10.020.
[46] Li, X., Fan, J., Wu, Y., Chen, J., & Deng, X. (2020). Exploring influencing factors of passenger satisfaction toward bus transit in small-medium city in China. Discrete Dynamics in Nature and Society, 2020(1), 8872115. doi:10.1155/2020/8872115.
[47] Too, L., & Earl, G. (2010). Public transport service quality and sustainable development: A community stakeholder perspective. Sustainable Development, 18(1), 51–61. doi:10.1002/sd.412.
[48] Wu, J., Yang, M., Rasouli, S., & Xu, C. (2016). Exploring passenger assessments of bus service quality using Bayesian networks. Journal of Public Transportation, 19(3), 36–54. doi:10.5038/2375-0901.19.3.3.
[49] Zhou, X., Liang, J., Ji, X., & Cottrill, C. D. (2019). The influence of information services on public transport behavior of urban and rural residents. Sustainability (Switzerland), 11(19), 5454. doi:10.3390/su11195454.
[50] Ratanavaraha, V., & Jomnonkwao, S. (2014). Model of users’ expectations of drivers of sightseeing buses: Confirmatory factor analysis. Transport Policy, 36, 253–262. doi:10.1016/j.tranpol.2014.09.004.
[51] Sinha, S., Shivanand Swamy, H. M., & Modi, K. (2020). User Perceptions of Public Transport Service Quality. Transportation Research Procedia, 48, 3310–3323. doi:10.1016/j.trpro.2020.08.121.
[52] Joewono, T. B., Tarigan, A. K. M., & Susilo, Y. O. (2016). Road-based public transportation in urban areas of Indonesia: What policies do users expect to improve the service quality? Transport Policy, 49, 114–124. doi:10.1016/j.tranpol.2016.04.009.
[53] Nguyen-Phuoc, D. Q., Phuong Tran, A. T., Nguyen, T. Van, Le, P. T., & Su, D. N. (2021). Investigating the complexity of perceived service quality and perceived safety and security in building loyalty among bus passengers in Vietnam – A PLS-SEM approach. Transport Policy, 101, 162–173. doi:10.1016/j.tranpol.2020.12.010.
[54] Mandhani, J., Nayak, J. K., & Parida, M. (2023). Should I Travel by Metro? Analyzing the Service Quality Perception of Elderly and Physically Disabled Passengers in Delhi, India. Transportation Research Record, 2677(9), 265–278. doi:10.1177/03611981231158650.
[55] Kacharo, D. K., Teshome, E., & Woltamo, T. (2022). Safety and security of women and girls in public transport. Urban, Planning and Transport Research, 10(1), 1–19. doi:10.1080/21650020.2022.2027268.
[56] van Lierop, D., & El-Geneidy, A. (2016). Enjoying loyalty: The relationship between service quality, customer satisfaction, and behavioral intentions in public transit. Research in Transportation Economics, 59, 50–59. doi:10.1016/j.retrec.2016.04.001.
[57] Kaewsopa, W. & Fu, Q. (2024). The Empirical Study on Public Bus System for Elderly in Nanning Municipality. International Journal of Multidisciplinary Research and Publications, 7(6), 210-216.
[58] Redman, L., Friman, M., Gärling, T., & Hartig, T. (2013). Quality attributes of public transport that attract car users: A research review. Transport Policy, 25, 119–127. doi:10.1016/j.tranpol.2012.11.005.
[59] Fu, X., Zhang, J., & Chan, F. T. S. (2018). Determinants of loyalty to public transit: A model integrating Satisfaction-Loyalty Theory and Expectation-Confirmation Theory. Transportation Research Part A: Policy and Practice, 113, 476–490. doi:10.1016/j.tra.2018.05.012.
[60] Sam, E. F., Hamidu, O., & Daniels, S. (2018). SERVQUAL analysis of public bus transport services in Kumasi metropolis, Ghana: Core user perspectives. Case Studies on Transport Policy, 6(1), 25–31. doi:10.1016/j.cstp.2017.12.004.
[61] Li, P., Chen, X., Ma, C., Zhu, C., & Lu, W. (2022). Risk assessment of COVID-19 infection for subway commuters integrating dynamic changes in passenger numbers. Environmental Science and Pollution Research, 29(49), 74715–74724. doi:10.1007/s11356-022-20920-9.
[62] Hsieh, H. S. (2023). Understanding post-COVID-19 hierarchy of public transit needs: Exploring relationship between service attributes, satisfaction, and loyalty. Journal of Transport & Health, 32, 101656. doi:10.1016/j.jth.2023.101656.
[63] Ding, P., Feng, S., & Jiang, J. (2023). The Impact of Urban Rail Transit Epidemic Prevention Measures on Passengers’ Safety Perception. International Journal of Environmental Research and Public Health, 20(5), 4161. doi:10.3390/ijerph20054161.
[64] Hsieh, H. S., & Hsia, H. C. (2022). Can continued anti-epidemic measures help post-COVID-19 public transport recovery? Evidence from Taiwan. Journal of Transport & Health, 26. doi:10.1016/j.jth.2022.101392.
[65] Khurshid, M., & Othayoth, D. (2024). Modelling elderly users’ perceived level of satisfaction with bus transit service: A case study of Patna city. Case Studies on Transport Policy, 17. doi:10.1016/j.cstp.2024.101252.
[66] Lan, J., Xue, Y., Fang, D., & Zheng, Q. (2022). Optimal Strategies for Elderly Public Transport Service Based on Impact-Asymmetry Analysis: A Case Study of Harbin. Sustainability (Switzerland), 14(3), 1320. doi:10.3390/su14031320.
[67] Mariotti, I., Burlando, C., & Landi, S. (2021). Is Local Public Transport unsuitable for elderly? Exploring the cases of two Italian cities. Research in Transportation Business and Management, 40, 100643. doi:10.1016/j.rtbm.2021.100643.
[68] Tavares, V. B., Lucchesi, S. T., Larranaga, A. M., & Cybis, H. B. B. (2021). Influence of public transport quality attributes on user satisfaction of different age cohorts. Case Studies on Transport Policy, 9(3), 1042–1050. doi:10.1016/j.cstp.2021.04.018.
[69] Liu, C., Bardaka, E., Palakurthy, R., & Tung, L. W. (2020). Analysis of travel characteristics and access mode choice of elderly urban rail riders in Denver, Colorado. Travel Behaviour and Society, 19, 194–206. doi:10.1016/j.tbs.2019.11.004.
[70] Lättman, K., Olsson, L. E., Friman, M., & Fujii, S. (2019). Perceived accessibility, satisfaction with daily travel, and life satisfaction among the elderly. International Journal of Environmental Research and Public Health, 16(22), 4498. doi:10.3390/ijerph16224498.
[71] Cirella, G. T., Bąk, M., Kozlak, A., Pawłowska, B., & Borkowski, P. (2019). Transport innovations for elderly people. Research in Transportation Business & Management, 30, 100381. doi:10.1016/j.rtbm.2019.100381.
[72] Lawshe, C. H. (1975). A Quantitative Approach to Content Validity. Personnel Psychology, 28(4), 563–575. doi:10.1111/j.1744-6570.1975.tb01393.x.
[73] Joshi, A., Kale, S., Chandel, S., & Pal, D. (2015). Likert Scale: Explored and Explained. British Journal of Applied Science & Technology, 7(4), 396–403. doi:10.9734/bjast/2015/14975.
[74] Alsnih, R., & Hensher, D. A. (2003). The mobility and accessibility expectations of seniors in an aging population. Transportation Research Part A: Policy and Practice, 37(10), 903–916. doi:10.1016/S0965-8564(03)00073-9.
[75] Wood, P. (2008). Confirmatory Factor Analysis for Applied Research. The American Statistician, 62(1), 91–92. doi:10.1198/tas.2008.s98.
[76] Finney, S. J., & DiStefano, C. (2006). Non-normal and categorical data in structural equation modeling. Structural equation modeling: A second course, 10(6), 269-314, Information Age Publishing (IPA), Charlotte, United States.
[77] Kline, R. B. (2023). Principles and practice of structural equation modeling. Guilford publications, New York, United States.
[78] Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2019) Multivariate Data Analysis. 8th Edition, Pearson, Upper Saddle River, United States.
[79] Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39. doi:10.2307/3151312.
[80] Nunnally, J. C. (1978). An Overview of Psychological Measurement. Clinical Diagnosis of Mental Disorders, Springer, Boston, United States. doi:10.1007/978-1-4684-2490-4_4:
[81] L. Milfont, T., & Fischer, R. (2010). Testing measurement invariance across groups: applications in cross-cultural research. International Journal of Psychological Research, 3(1), 111–130. doi:10.21500/20112084.857.
[82] Steenkamp, J. B. E. M., & Baumgartner, H. (1998). Assessing measurement invariance in cross-national consumer research. Journal of Consumer Research, 25(1), 78–90. doi:10.1086/209528.
[83] Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. doi:10.1080/10705519909540118.
[84] Marsh, H. W., & Hocevar, D. (1985). Application of Confirmatory Factor Analysis to the Study of Self-Concept. First- and Higher Order Factor Models and Their Invariance Across Groups. Psychological Bulletin, 97(3), 562–582. doi:10.1037/0033-2909.97.3.562.
[85] Barrett, P. (2007). Structural equation modelling: Adjudging model fit. Personality and Individual Differences, 42(5), 815–824. doi:10.1016/j.paid.2006.09.018.
[86] Browne, M. W., & Cudeck, R. (1992). Alternative Ways of Assessing Model Fit. Sociological Methods & Research, 21(2), 230–258. doi:10.1177/0049124192021002005.
[87] Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233–255. doi:10.1207/S15328007SEM0902_5.
[88] Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling, 14(3), 464–504. doi:10.1080/10705510701301834.
[89] Graham, J. W. (2009). Missing data analysis: Making it work in the real world. Annual Review of Psychology, 60(1), 549–576. doi:10.1146/annurev.psych.58.110405.085530.
[90] United Nations. (2021). Sustainable Development: Interagency Report Second Global Sustainable Transport Conference. United Nations, New York, United States.
[91] Jomnonkwao, S., Champahom, T., & Ratanavaraha, V. (2020). Methodologies for determining the service quality of the intercity rail service based on users’ perceptions and expectations in Thailand. Sustainability (Switzerland), 12(10), 4259. doi:10.3390/su12104259.
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