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Enhancing Inclusive Mobility for Elderly Pilgrims in Indian Religious Cities: A Case Study of Haridwar
Research Article | Published: 23 September 2025
Sustainable Intelligent Infrastructure Volume 1, Issue 2, 2025: 74-92
Volume 1, Issue 2, Sustainable Intelligent Infrastructure
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Sustainable Intelligent Infrastructure, Volume 1, Issue 2, 2025: 74-92

Open Access | Research Article | 23 September 2025
Enhancing Inclusive Mobility for Elderly Pilgrims in Indian Religious Cities: A Case Study of Haridwar
by
Swapneel Jaiswal Swapneel Jaiswal 1 *
Amit Singh Baghel Amit Singh Baghel 2
Sremmant Basu Sremmant Basu 3
Pradyut Anand Pradyut Anand 4 *
Sudheer Kumar Yantrapalli Sudheer Kumar Yantrapalli 1
Denise-Penelope N. Kontoni Denise-Penelope N. Kontoni 5,6
1 Department of Civil Engineering, Madanapalle Institute of Technology and Science, Andhra Pradesh, India
2 Vernacular Consultancy Services Private Limited, Lucknow, India
3 Department of Management Studies, Madanapalle Institute of Technology and Science, Andhra Pradesh, India
4 Department of Civil Engineering, School of Engineering & Technology, Noida International University, Uttar Pradesh, India
5 Department of Civil Engineering, School of Engineering, University of the Peloponnese, GR-26334 Patras, Greece
6 School of Science and Technology, Hellenic Open University, GR-26335 Patras, Greece
* Corresponding Authors: Swapneel Jaiswal, [email protected] ; Pradyut Anand, [email protected]
DOI: 10.62762/SII.2025.431581
Received: 06 April 2025, Accepted: 25 July 2025, Published: 23 September 2025  
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Abstract
Pilgrimage tourism in India is a cultural and deeply spiritual journey, especially for elderly individuals who view it as a cherished life milestone. However, their mobility and accessibility needs are often under-addressed in policy and planning. This study examines inclusive mobility challenges faced by elderly pilgrims in Haridwar through qualitative and quantitative data from 225 participants, including interviews, group discussions, and field observations. Findings reveal physical, sensory, and cognitive barriers that restrict freedom, dignity, and spiritual fulfilment. Existing infrastructure and services, such as signage and pathways, are frequently inadequate. The research highlights a strong link between inclusive mobility features and enhanced independence and travel experiences. Comparative best practices inform evidence-based recommendations for policymakers and planners, proposing a framework that integrates spiritual needs with universal design for more equitable and accessible pilgrimage experiences.
Graphical Abstract
Enhancing Inclusive Mobility for Elderly Pilgrims in Indian Religious Cities: A Case Study of Haridwar
Keywords
inclusive pilgrimage tourism
elderly pilgrims
travel challenges
haridwar
India
Data Availability Statement
Data will be made available on request.
Funding
This work was supported without any funding.
Conflicts of Interest
The authors declare no conflicts of interest.
Ethical Approval and Consent to Participate
Not applicable.
References
  1. Census of India. (2011). Office of the registrar general & census commissioner, India. Census of India.
    [Google Scholar]
  2. Gillovic, B., & McIntosh, A. (2020). Accessibility and inclusive tourism development: Current state and future agenda. Sustainability, 12(22), 9722.
    [CrossRef]   [Google Scholar]
  3. Pasca, M. G., Elmo, G. C., Arcese, G., Cappelletti, G. M., & Martucci, O. (2022). Accessible tourism in protected natural areas: an empirical study in the Lazio region. Sustainability, 14(3), 1736.
    [CrossRef]   [Google Scholar]
  4. De Matteis, F., Notaristefano, G., & Bianchi, P. (2021). Public—Private partnership governance for accessible tourism in marine protected areas (MPAs). Sustainability, 13(15), 8455.
    [CrossRef]   [Google Scholar]
  5. Gillovic, B., McIntosh, A., Darcy, S., & Cockburn-Wootten, C. (2018). Enabling the language of accessible tourism. Journal of Sustainable Tourism, 26(4), 615-630.
    [CrossRef]   [Google Scholar]
  6. Burnett, J. J., & Baker, H. B. (2001). Assessing the travel-related behaviors of the mobility-disabled consumer. Journal of Travel Research, 40(1), 4-11.
    [CrossRef]   [Google Scholar]
  7. Kazeminia, A., Del Chiappa, G., & Jafari, J. (2015). Seniors’ travel constraints and their coping strategies. Journal of travel research, 54(1), 80-93.
    [CrossRef]   [Google Scholar]
  8. Bowtell, J. (2015). Assessing the value and market attractiveness of the accessible tourism industry in Europe: a focus on major travel and leisure companies. Journal of Tourism Futures, 1(3), 203-222.
    [CrossRef]   [Google Scholar]
  9. Cockburn-Wootten, C., & McIntosh, A. (2020). Improving the accessibility of the tourism industry in New Zealand. Sustainability, 12(24), 10478.
    [CrossRef]   [Google Scholar]
  10. Patterson, I. R. (2006). Growing older: Tourism and leisure behaviour of older adults. Cabi.
    [CrossRef]   [Google Scholar]
  11. Patterson, I., & Balderas, A. (2020). Continuing and emerging trends of senior tourism: A review of the literature. Journal of Population Ageing, 13(3), 385-399.
    [CrossRef]   [Google Scholar]
  12. Sedgley, D., Pritchard, A., & Morgan, N. (2011). Tourism and ageing: A transformative research agenda. Annals of Tourism Research, 38(2), 422-436.
    [CrossRef]   [Google Scholar]
  13. Jang, S. S., & Wu, C. M. E. (2006). Seniors’ travel motivation and the influential factors: An examination of Taiwanese seniors. Tourism management, 27(2), 306-316.
    [CrossRef]   [Google Scholar]
  14. Nimrod, G. (2008). Retirement and tourism themes in retirees’ narratives. Annals of tourism research, 35(4), 859-878.
    [CrossRef]   [Google Scholar]
  15. Otoo, F. E., Kim, S., & Choi, Y. (2020). Understanding senior tourists' preferences and characteristics based on their overseas travel motivation clusters. Journal of Travel & Tourism Marketing, 37(2), 246-257.
    [CrossRef]   [Google Scholar]
  16. Curl, A., Nelson, J. D., & Anable, J. (2011). Does accessibility planning address what matters? A review of current practice and practitioner perspectives. Research in Transportation Business & Management, 2, 3-11.
    [CrossRef]   [Google Scholar]
  17. Farrington, J., & Farrington, C. (2005). Rural accessibility, social inclusion and social justice: towards conceptualisation. Journal of Transport geography, 13(1), 1-12.
    [CrossRef]   [Google Scholar]
  18. Geurs, K. T., & Van Wee, B. (2004). Accessibility evaluation of land-use and transport strategies: review and research directions. Journal of Transport geography, 12(2), 127-140.
    [CrossRef]   [Google Scholar]
  19. Durán-Sánchez, A., Del Río, M. D. L. C., Oliveira, C., & Álvarez-García, J. (2019). Religious tourism and pilgrimage: Study of academic publications in Scopus. In Handbook of research on socio-economic impacts of religious tourism and pilgrimage (pp. 1-18). IGI Global.
    [CrossRef]   [Google Scholar]
  20. Timothy, D. J., & Olsen, D. H. (Eds.). (2006). Tourism, religion and spiritual journeys (Vol. 4). London: Routledge.
    [CrossRef]   [Google Scholar]
  21. Edusei, A. K., Aggrey, S. M., Badu, E., & Opoku, M. P. (2015). Accessibility and participation of persons with disabilities in tourism: Perspective of tourism workers in the Ashanti region of Ghana. Disability, CBR & Inclusive Development, 26(3), 97-110.
    [CrossRef]   [Google Scholar]
  22. Gassiot Melian, A., Prats, L., & Coromina, L. (2016). The perceived value of accessibility in religious sites–do disabled and non-disabled travellers behave differently?. Tourism Review, 71(2), 105-117.
    [CrossRef]   [Google Scholar]
  23. Lin, H. H., Chang, K. H., Tseng, C. H., Lee, Y. S., & Hung, C. H. (2021). Can the development of religious and cultural tourism build a sustainable and friendly life and leisure environment for the elderly and promote physical and mental health?. International journal of environmental research and public health, 18(22), 11989.
    [CrossRef]   [Google Scholar]
  24. Litman, T. (2017). Evaluating accessibility for transport planning. Victoria, BC, Canada: Victoria Transport Policy Institute.
    [Google Scholar]
  25. Collia, D. V., Sharp, J., & Giesbrecht, L. (2003). The 2001 national household travel survey: A look into the travel patterns of older Americans. Journal of safety research, 34(4), 461-470.
    [CrossRef]   [Google Scholar]
  26. Hjorthol, R. J., Levin, L., & Sirén, A. (2010). Mobility in different generations of older persons: The development of daily travel in different cohorts in Denmark, Norway and Sweden. Journal of Transport Geography, 18(5), 624-633.
    [CrossRef]   [Google Scholar]
  27. Liu, W., Lu, H., Sun, Z., & Liu, J. (2017). Elderly’s travel patterns and trends: The empirical analysis of Beijing. Sustainability, 9(6), 981.
    [CrossRef]   [Google Scholar]
  28. Rosenbloom, S. (2001). Sustainability and automobility among the elderly: An international assessment. Transportation, 28(4), 375-408.
    [CrossRef]   [Google Scholar]
  29. O'Fallon, C., & Sullivan, C. (2009). Trends in older people’s travel patterns: analysing changes in older New Zealanders’ travel patterns using the Ongoing New Zealand Household Travel Survey. New Zealand Transport Agency Research Report, (369).
    [Google Scholar]
  30. Schmöcker, J. D., Su, F., & Noland, R. B. (2010). An analysis of trip chaining among older London residents. Transportation, 37(1), 105-123.
    [CrossRef]   [Google Scholar]
  31. Su, F., & Bell, M. G. (2009). Transport for older people: Characteristics and solutions. Research in transportation economics, 25(1), 46-55.
    [CrossRef]   [Google Scholar]
  32. Su, F., Schmöcker, J. D., & Bell, M. G. (2009). Mode choice of older people before and after shopping: A study with London data. Journal of Transport and Land Use, 2(1), 29-46.
    [CrossRef]   [Google Scholar]
  33. Fatima, K., Moridpour, S., & Saghapour, T. (2021). Spatial and temporal distribution of elderly public transport mode preference. Sustainability, 13(9), 4752.
    [CrossRef]   [Google Scholar]
  34. 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.
    [CrossRef]   [Google Scholar]
  35. 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.
    [CrossRef]   [Google Scholar]
  36. 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.
    [CrossRef]   [Google Scholar]
  37. Somenahalli, S., & Taylor, M. A. (2007). Elderly mobility: Issues, opinions and analysis of trip making in Adelaide (Doctoral dissertation, ETM Group of Companies).
    [Google Scholar]
  38. Mohd, S., Abdul Latiff, A. R., & Senadjki, A. (2019). Travel behavior of elderly in George Town and Malacca, Malaysia. Sustainability, 11(19), 5251.
    [CrossRef]   [Google Scholar]
  39. Lee, K. S., Eom, J. K., Lee, J., & Ko, S. (2021). Analysis of the activity and travel patterns of the elderly using mobile phone-based hourly locational trajectory data: Case study of gangnam, korea. Sustainability, 13(6), 3025.
    [CrossRef]   [Google Scholar]
  40. Bandara, T. N., Higgs, C., Zapata-Diomedi, B., Gunn, L., Turrell, G., & De Livera, A. (2023). The longitudinal effects of the built environment on transportation and recreational walking, and differences by age and sex: systematic review protocol. Archives of public health, 81(1), 184.
    [CrossRef]   [Google Scholar]
  41. Brüchert, T., Hasselder, P., Quentin, P., & Bolte, G. (2020). Walking for transport among older adults: a cross-sectional study on the role of the built environment in less densely populated areas in northern Germany. International journal of environmental research and public health, 17(24), 9479.
    [CrossRef]   [Google Scholar]
  42. Kim, S. (2003). Analysis of elderly mobility by structural equation modeling. Transportation research record, 1854(1), 81-89.
    [CrossRef]   [Google Scholar]
  43. Agarwal, A., Lubet, A., Mitgang, E., Mohanty, S., & Bloom, D. E. (2020). Population aging in India: Facts, issues, and options. In Population change and impacts in Asia and the Pacific (pp. 289-311). Singapore: Springer Singapore.
    [CrossRef]   [Google Scholar]
  44. Morrison, R. S., Meier, D. E., & Capello, C. (Eds.). (2003). Geriatric palliative care. Oxford University Press.
    [Google Scholar]
  45. Zunzunegui, M. V., Beland, F., & Otero, A. (2001). Support from children, living arrangements, self-rated health and depressive symptoms of older people in Spain. International Journal of Epidemiology, 30(5), 1090-1099.
    [CrossRef]   [Google Scholar]
  46. Gupta, P., Mani, K., Rai, S. K., Nongkynrih, B., & Gupta, S. K. (2014). Functional disability among elderly persons in a rural area of Haryana. Indian journal of public health, 58(1), 11-16.
    [CrossRef]   [Google Scholar]
  47. Joshi, K., Kumar, R., & Avasthi, A. (2003). Morbidity profile and its relationship with disability and psychological distress among elderly people in Northern India. International journal of epidemiology, 32(6), 978-987.
    [CrossRef]   [Google Scholar]
  48. Shankar, R., Tondon, J., Gambhir, I. S., & Tripathi, C. B. (2007). Health status of elderly population in rural area of Varanasi district. Indian journal of public health, 51(1), 56-58.
    [Google Scholar]
  49. Swami, H. M., Bhatia, V., Dutt, R., & Bhatia, S. P. S. (2002). A community based study of the morbidity profile among the elderly in Chandigarh, India. Bahrain Med Bull, 24(1), 13-16.
    [Google Scholar]
  50. Garber, C. E., Greaney, M. L., Riebe, D., Nigg, C. R., Burbank, P. A., & Clark, P. G. (2010). Physical and mental health-related correlates of physical function in community dwelling older adults: a cross sectional study. BMC geriatrics, 10(1), 6.
    [CrossRef]   [Google Scholar]
  51. Sapranaviciute-Zabazlajeva, L., Sileikiene, L., Luksiene, D., Tamosiunas, A., Radisauskas, R., Milvidaite, I., & Bobak, M. (2022). Lifestyle factors and psychological well-being: 10-year follow-up study in Lithuanian urban population. BMC Public Health, 22(1), 1011.
    [CrossRef]   [Google Scholar]
  52. Tinetti, M. E., Speechley, M., & Ginter, S. F. (1988). Risk factors for falls among elderly persons living in the community. New England journal of medicine, 319(26), 1701-1707.
    [CrossRef]   [Google Scholar]
  53. Yeom, H. A., Fleury, J., & Keller, C. (2008). Risk factors for mobility limitation in community-dwelling older adults: a social ecological perspective. Geriatric nursing, 29(2), 133-140.
    [CrossRef]   [Google Scholar]
  54. Dey, S., Nambiar, D., Lakshmi, J. K., Sheikh, K., & Reddy, K. S. (2012). Health of the elderly in India: challenges of access and affordability. Aging in Asia: Findings from new and emerging data initiatives, 371, 86.
    [Google Scholar]
  55. Cornoni-Huntley, J. C., Foley, D. J., White, L. R., Suzman, R., Berkman, L. F., Evans, D. A., & Wallace, R. B. (1985). Epidemiology of disability in the oldest old: methodologic issues and preliminary findings. The Milbank Memorial Fund Quarterly. Health and Society, 350-376.
    [CrossRef]   [Google Scholar]
  56. Hosain, G. M. (1995). Disability problem in a rural area of Bangladesh. Bangladesh Medical Research Council Bulletin, 21(1), 24-31.
    [Google Scholar]
  57. Kapoor, M., Ambade, M., Ravi, S., & Subramanian, S. V. (2024). Age-and gender-specific prevalence of intellectually disabled population in India. Journal of Autism and Developmental Disorders, 54(4), 1594-1604.
    [CrossRef]   [Google Scholar]
  58. Ganesh, K. S., Das, A., & Shashi, J. S. (2008). Epidemiology of disability in a rural community of Karnataka. Indian journal of public health, 52(3), 125-129.
    [Google Scholar]
  59. Velayutham, B., Kangusamy, B., Joshua, V., & Mehendale, S. (2016). The prevalence of disability in elderly in India–Analysis of 2011 census data. Disability and health journal, 9(4), 584-592.
    [CrossRef]   [Google Scholar]
  60. Dupre, M. E., Liu, G., & Gu, D. (2008). Predictors of longevity: Evidence from the oldest old in China. American journal of public health, 98(7), 1203-1208.
    [CrossRef]   [Google Scholar]
  61. Chandwani, H., Jivarajani, P., & Jivarajani, H. (2009). Health and social problems of geriatric population in an urban setting of Gujarat, India. Internet J Health, 9(2), 10-5580.
    [Google Scholar]
  62. Malmstrom, T. K., Miller, D. K., Simonsick, E. M., Ferrucci, L., & Morley, J. E. (2016). SARC‐F: a symptom score to predict persons with sarcopenia at risk for poor functional outcomes. Journal of cachexia, sarcopenia and muscle, 7(1), 28-36.
    [CrossRef]   [Google Scholar]
  63. Tinetti, M. E., & Kumar, C. (2010). The patient who falls:“It's always a trade-off”. Jama, 303(3), 258-266.
    [CrossRef]   [Google Scholar]
  64. Guralnik, J. M., Ferrucci, L., Simonsick, E. M., Salive, M. E., & Wallace, R. B. (1995). Lower-extremity function in persons over the age of 70 years as a predictor of subsequent disability. New England Journal of Medicine, 332(9), 556-562.
    [CrossRef]   [Google Scholar]
  65. Agrawal, A. (2016). Disability among the elder population of India: A public health concern. Journal of Medical Society, 30(1), 15-19.
    [CrossRef]   [Google Scholar]
  66. Sudha, S., Suchindran, C., Mutran, E. J., Rajan, S. I., & Sarma, P. S. (2006). Marital status, family ties, and self-rated health among elders in South India. Journal of Cross-Cultural Gerontology, 21(3), 103-120.
    [CrossRef]   [Google Scholar]
  67. Pandey, M. K. (2012). Poverty and disability among Indian elderly: evidence from household survey. Journal of Disability Policy Studies, 23(1), 39-49.
    [CrossRef]   [Google Scholar]
  68. 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.
    [CrossRef]   [Google Scholar]
  69. Rosenbloom, S., & Morris, J. (1998). Travel patterns of older Australians in an international context: Policy implications and options. Transportation Research Record, 1617(1), 189-193.
    [CrossRef]   [Google Scholar]
  70. Schwanen, T., Dijst, M., & Dieleman, F. M. (2001). Leisure trips of senior citizens: determinants of modal choice. Tijdschrift voor economische en sociale geografie, 92(3), 347-360.
    [CrossRef]   [Google Scholar]
  71. Yau, M. K. S., McKercher, B., & Packer, T. L. (2004). Traveling with a disability: More than an access issue. Annals of tourism research, 31(4), 946-960.
    [CrossRef]   [Google Scholar]
  72. Musselwhite, C., & Haddad, H. (2010). Mobility, accessibility and quality of later life. Quality in ageing and older adults, 11(1), 25-37.
    [CrossRef]   [Google Scholar]
  73. 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.
    [CrossRef]   [Google Scholar]
  74. Dieleman, F. M., Dijst, M., & Burghouwt, G. (2002). Urban form and travel behaviour: micro-level household attributes and residential context. Urban studies, 39(3), 507-527.
    [CrossRef]   [Google Scholar]
  75. Best, H., & Lanzendorf, M. (2005). Division of Labour and Gender Differences.
    [CrossRef]   [Google Scholar]
  76. Chen, S. C., & Shoemaker, S. (2014). Age and cohort effects: The American senior tourism market. Annals of Tourism Research, 48, 58-75.
    [CrossRef]   [Google Scholar]
  77. Lee, S. H., & Tideswell, C. (2005). Understanding attitudes towards leisure travel and the constraints faced by senior Koreans. Journal of Vacation Marketing, 11(3), 249-263.
    [CrossRef]   [Google Scholar]
  78. Huang, L., & Tsai, H. T. (2003). The study of senior traveler behavior in Taiwan. Tourism management, 24(5), 561-574.
    [CrossRef]   [Google Scholar]
  79. Nimrod, G. (2007). Retirees' leisure: Activities, benefits, and their contribution to life satisfaction. Leisure Studies, 26(1), 65-80.
    [CrossRef]   [Google Scholar]
  80. Patterson, I., & Pegg, S. (2013). Marketing the leisure experience to baby boomers and older tourists. In Marketing of tourism experiences (pp. 156-174). Routledge.
    [Google Scholar]
  81. Spasojević, B., & Božić, S. (2016). Senior tourists’ preferences in the developing countries–measuring perceptions of Serbian potential senior market. European Journal of Tourism, Hospitality and Recreation, 7(2), 74-83.
    [CrossRef]   [Google Scholar]
  82. Przybysz, K., & Stanimir, A. (2022). Tourism-related needs in the context of seniors’ living and social conditions. International Journal of Environmental Research and Public Health, 19(22), 15325.
    [CrossRef]   [Google Scholar]
  83. Patterson, I., Balderas-Cejudo, A., & Pegg, S. (2021). Tourism preferences of seniors and their impact on healthy ageing. Anatolia, 32(4), 553-564.
    [CrossRef]   [Google Scholar]
  84. Jamei, E., Chan, M., Chau, H. W., Gaisie, E., & Lättman, K. (2022). Perceived accessibility and key influencing factors in transportation. Sustainability, 14(17), 10806.
    [CrossRef]   [Google Scholar]
  85. Hennah, C., Ellis, G., & Doumas, M. (2021). Dual task walking in healthy aging: Effects of narrow and wide walking paths. Plos one, 16(12), e0261647.
    [CrossRef]   [Google Scholar]
  86. Che Had, N. H., Alavi, K., Md Akhir, N., Muhammad Nur, I. R., Shuhaimi, M. S. Z., & Foong, H. F. (2023). A scoping review of the factor associated with older adults’ mobility barriers. International journal of environmental research and public health, 20(5), 4243.
    [CrossRef]   [Google Scholar]
  87. Roman, M., Bhatta, K., Roman, M., & Gautam, P. (2021). Socio-economic factors influencing travel decision-making of Poles and Nepalis during the COVID-19 pandemic. Sustainability, 13(20), 11468.
    [CrossRef]   [Google Scholar]
  88. Chua, B. L., Al-Ansi, A., Lee, M. J., & Han, H. (2021). Impact of health risk perception on avoidance of international travel in the wake of a pandemic. Current Issues in Tourism, 24(7), 985-1002.
    [CrossRef]   [Google Scholar]
  89. Aziz, N. A., & Long, F. (2022). To travel, or not to travel? The impacts of travel constraints and perceived travel risk on travel intention among Malaysian tourists amid the COVID‐19. Journal of Consumer Behaviour, 21(2), 352-362.
    [CrossRef]   [Google Scholar]
  90. Kim, H., Woo, E., & Uysal, M. (2015). Tourism experience and quality of life among elderly tourists. Tourism management, 46, 465-476.
    [CrossRef]   [Google Scholar]
  91. Townsend, B. G., Chen, J. T., & Wuthrich, V. M. (2021). Barriers and facilitators to social participation in older adults: a systematic literature review. Clinical gerontologist, 44(4), 359-380.
    [CrossRef]   [Google Scholar]
  92. Noh, S. H., & Joh, C. H. (2012). Analysis of elderly travel patterns in Seoul metropolitan area, South Korea, through sequence alignment and motif search. Transportation research record, 2323(1), 25-34.
    [CrossRef]   [Google Scholar]
  93. Maresova, P., Krejcar, O., Maskuriy, R., Bakar, N. A. A., Selamat, A., Truhlarova, Z., ... & Vítkova, L. (2023). Challenges and opportunity in mobility among older adults–key determinant identification. BMC geriatrics, 23(1), 447.
    [CrossRef]   [Google Scholar]
  94. Kim, M., Choi, K. H., & Leopkey, B. (2021). The influence of tourist risk perceptions on travel intention to mega sporting event destinations with different levels of risk. Tourism Economics, 27(3), 419-435.
    [CrossRef]   [Google Scholar]
  95. Musselwhite, C. B., & Shergold, I. (2013). Examining the process of driving cessation in later life. European Journal of Ageing, 10(2), 89-100.
    [CrossRef]   [Google Scholar]
  96. Zhou, F., Zhang, H., Wang, H. Y., Liu, L. F., & Zhang, X. G. (2024). Barriers and facilitators to older adult participation in intergenerational physical activity program: a systematic review. Aging clinical and experimental research, 36(1), 39.
    [CrossRef]   [Google Scholar]
  97. Kim, T. K. (2015). T test as a parametric statistic. Korean journal of anesthesiology, 68(6), 540-546.
    [CrossRef]   [Google Scholar]
  98. Wiśniowski, A., Sakshaug, J. W., Perez Ruiz, D. A., & Blom, A. G. (2020). Integrating probability and nonprobability samples for survey inference. Journal of Survey Statistics and Methodology, 8(1), 120-147.
    [CrossRef]   [Google Scholar]
  99. Lohr, S. L. (2021). Sampling: design and analysis. Chapman and Hall/CRC.
    [CrossRef]   [Google Scholar]
  100. Qurashi, M. E., & Elhafian, M. H. (2023). The Impact of Sample Size on the Probability Samples to Estimate the Total population Number. Indian Journal of Science and Technology, 16(39), 3316-3324.
    [CrossRef]   [Google Scholar]
  101. Kovacs, M., van Ravenzwaaij, D., Hoekstra, R., & Aczel, B. (2022). SampleSizePlanner: A tool to estimate and justify sample size for two-group studies. Advances in Methods and Practices in Psychological Science, 5(1), 25152459211054059.
    [CrossRef]   [Google Scholar]
  102. Perera, K. D. R. L. J. (2021). Checking the assumptions for using parametric tests in relation to low socio-economic districts early adolescents motivation and engagement levels in learning. International Journal of Education Humanities and Social Science, 5(03), 119-131. https:/doi.org/10.54922/1JEHSS.2022.0391
    [Google Scholar]
  103. Kim, H. Y. (2013). Statistical notes for clinical researchers: assessing normal distribution (2) using skewness and kurtosis. Restorative dentistry & endodontics, 38(1), 52.
    [CrossRef]   [Google Scholar]
  104. Ghasemi, A., & Zahediasl, S. (2012). Normality tests for statistical analysis: a guide for non-statisticians. International journal of endocrinology and metabolism, 10(2), 486.
    [CrossRef]   [Google Scholar]
  105. Fagerland, M. W. (2012). t-tests, non-parametric tests, and large studies—a paradox of statistical practice?. BMC medical research methodology, 12(1), 78.
    [CrossRef]   [Google Scholar]
  106. Faizi, N., & Alvi, Y. (2023). Parametric tests. Biostatistics Manual for Health Research. Elsevier, 63-86.
    [CrossRef]   [Google Scholar]
  107. Faizi, N., & Alvi, Y. (2023). Biostatistics manual for Health Research: A practical guide to data analysis. Elsevier.
    [CrossRef]   [Google Scholar]
  108. Fávero, L. P., Belfiore, P., & de Freitas Souza, R. (2023). Data science, analytics and machine learning with R. Academic Press.
    [CrossRef]   [Google Scholar]
  109. Campbell, M. J., & Shantikumar, S. (2016). Parametric and Non-parametric tests for comparing two or more groups. HealthKnowledge. Viitattu, 2, 2020.
    [Google Scholar]
  110. Verma, J. P., & Abdel-Salam, A. S. G. (2019). Testing statistical assumptions in research. John Wiley & Sons.
    [CrossRef]   [Google Scholar]
Cite This Article
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Jaiswal, S., Baghel, A. S., Basu, S., Anand, P., Yantrapalli, S. K., & Kontoni, D. P. N. (2025). Enhancing Inclusive Mobility for Elderly Pilgrims in Indian Religious Cities: A Case Study of Haridwar. Sustainable Intelligent Infrastructure, 1(2), 74–92. https://doi.org/10.62762/SII.2025.431581
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