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Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

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PUBLISHED
13.03.2025
DOI
https://doi.org/10.7307/ptt.v37i2.642
ISSUE
2025 (Vol 37), Issue 2
LICENSE
Copyright (c) 2025 Yueying HUO, Chenhao WANG, Jianrong LIU
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This work is licensed under a
Creative Commons Attribution-NonCommercial-
NoDerivatives 4.0 International License.

Understanding the Walk Intention of Older Adults in China with the Theory of Planned Behaviour and the Prototype Willingness Model

Authors:Yueying HUO, Chenhao WANG, Jianrong LIU

Abstract

Walking prevents disease and keeps older adults healthy. Studying the walking decision factors of ageing people is an imperative step in understanding and promoting their behaviour. The theory of planned behaviour (TPB) and the prototype willingness model (PWM) are two well-known frameworks that deal with reasoned and social reaction processes in decision-making. This paper used these frameworks to examine the motivational mechanisms of walking among older Chinese adults living in small towns and used the structural equation model (SEM) for regression analysis. The analysis was based on 407 questionnaires and compared two models. Model 1 is TPB and model 2 combines TPB with PWM. The results show that behaviour willingness (BW) is significantly correlated with behaviour intention (BI), and model 2 explains a higher proportion of intention variance than model 1. Perceived behavioural control (PBC) is the most significant predictor in the two models, which implies that walking usefulness and walking feasibility are critical to older adults’ willingness to walk and walking program development. Finally, the utility of the integrative model is discussed, in terms of the theoretical contribution to walking among older adults and the applied implications for the promotion of walking.

Keywords:older adults, walking intention, prototype willingness model, theory of planned behavior

References

  1. [1] Cavill N, et al. Economic assessment of transport infrastructure and policies: Methodological guidance on the economic appraisal of health effects related to walking and cycling. World Health Organization. Regional Office for Europe; 2007. https://apps.who.int/iris/handle/10665/348022 [Accessed 9 August 2022].
  2. [2] Hu G, et al. Occupational, commuting and leisure-time physical activity in relation to coronary heart disease among middle-aged Finnish men and women. Atherosclerosis. 2007;194(2):490–497. DOI: 10.1016/j.atherosclerosis.2006.08.051.
  3. [3] Engels B, Liu GJ. Ageing in place: The out-of-home travel patterns of seniors in Victoria and its policy implications. Urban Policy and Research. 2013;31(2):168–189. DOI: 10.1080/08111146.2012.737316.
  4. [4] Hallal PC, et al. Global physical activity levels: Surveillance progress, pitfalls, and prospects. The Lancet. 2012;380(9838):247–257. DOI: 10.1016/S0140-6736(12)60646-1.
  5. [5] Fishbein M, Ajzen I. Predicting and changing behavior: The reasoned action approach. New York, US: Psychology Press; 2009. DOI: 10.4324/9780203838020.
  6. [6] Ajzen I. The theory of planned behavior. Organizational Behavior and Human Decision Processes. 1991;50(2):179–211. DOI: 10.1016/0749-5978(91)90020-T.
  7. [7] Courneya KS. Understanding readiness for regular physical activity in older individuals: An application of the theory of planned behavior. Health Psychology. 1995;14(1):80–87. DOI: 10.1037/0278-6133.14.1.80.
  8. [8] Gretebeck KA, et al. Physical activity and function in older adults: Theory of planned behavior. American Journal of Health Behavior. 2007;31(2):203–214. DOI: 10.5993/AJHB.31.2.9.
  9. [9] Stolte E, et al. The theory of planned behavior and physical activity change: Outcomes of the aging well and healthily intervention program for older adults. Journal of Aging and Physical Activity. 2017;25(3):438–445. DOI: 10.1123/japa.2016-0182.
  10. [10] Arnautovska U, Fleig L, O’Callaghan F, Hamilton K. Older adults’ physical activity: The integration of autonomous motivation and theory of planned behaviour constructs. Australian Psychologist. 2019;54(1):46–54. DOI: 10.1111/ap.12346.
  11. [11] Vahedian-Shahroodi M, et al. Predicting the intention to perform physical activity in the elderly based on the theory of planned behavior. Journal of Research and Health. 2019;9(4):324–329. DOI: 10.29252/jrh.9.4.324.
  12. [12] Lee HS. Examining neighborhood influences on leisure-time walking in older Korean adults using an extended theory of planned behavior. Landscape and Urban Planning. 2016;148:51–60. DOI: 10.1016/j.landurbplan.2015.12.011.
  13. [13] Liu J, Liu L, Pei M. Analysis of older people’s walking behavioral intention with the extended theory of planned behavior. Journal of Transport & Health. 2022;26:101462. DOI: 10.1016/j.jth.2022.101462.
  14. [14] Qiao X, et al. Development and validation of an instrument to measure beliefs in physical activity among (pre)frail older adults: An integration of the health belief model and the theory of planned behavior. Patient Education and Counseling. 2021;104(10):2544–2551. DOI: 10.1016/j.pec.2021.03.009.
  15. [15] Park JY, Chiu W, Won D. Sustainability of exercise behavior in seniors: An application of the extended theory of planned behavior. Journal of Physical Education and Sport. 2017;17(1):342-347. DOI: 10.7752/jpes.2017.01050.
  16. [16] Sheeran P, Gollwitzer PM, Bargh JA. Nonconscious processes and health. Health Psychology. 2013;32(5):460–473. DOI: 10.1037/a0029203.
  17. [17] Gibbons FX, Gerrard M, Blanton H, Russell DW. Reasoned action and social reaction: Willingness and intention as independent predictors of health risk. Journal of Personality and Social Psychology. 1998;74(5):1164–1180. DOI: 10.1037/0022-3514.74.5.1164.
  18. [18] Rivis A, Sheeran P, Armitage CJ. Augmenting the theory of planned behaviour with the prototype/willingness model: Predictive validity of actor versus abstainer prototypes for adolescents’ health-protective and health-risk intentions. British Journal of Health Psychology. 2006;11(3):483–500. DOI: 10.1348/135910705X70327.
  19. [19] Elliott MA, et al. An application of the prototype willingness model to drivers’ speeding behaviour: Prototype willingness model. European Journal of Social Psychology. 2017;47(6):735–747. DOI: 10.1002/ejsp.2268.
  20. [20] Frater J, Kuijer R, Kingham S. Why adolescents don’t bicycle to school: Does the prototype/willingness model augment the theory of planned behaviour to explain intentions? Transportation Research Part F: Traffic Psychology and Behaviour. 2017;46:250–259. DOI: 10.1016/j.trf.2017.03.005.
  21. [21] Demir B, Özkan T, Demir S. Pedestrian violations: Reasoned or social reactive? Comparing theory of planned behavior and prototype willingness model. Transportation Research Part F: Traffic Psychology and Behaviour. 2019;60:560–572. DOI: 10.1016/j.trf.2018.11.012.
  22. [22] Duarte N, Hughes SL, Paúl C. Theory of planned behavior in predicting physical activity among portuguese older adults with osteoarthritis. Activities, Adaptation & Aging. 2022;46(1):60–72. DOI: 10.1080/01924788.2021.1916717.
  23. [23] Rivis A, Abraham C, Snook S. Understanding young and older male drivers’ willingness to drive while intoxicated: The predictive utility of constructs specified by the theory of planned behaviour and the prototype willingness model: Understanding men’s willingness to DWI. British Journal of Health Psychology. 2011;16(2):445–456. DOI: 10.1348/135910710X522662.
  24. [24] Hatamzadeh Y, Hosseinzadeh A. Toward a deeper understanding of elderly walking for transport: An analysis across genders in a case study of Iran. Journal of Transport & Health. 2020;19:100949. DOI: 10.1016/j.jth.2020.100949.
  25. [25] Pu X, Wang W, Wu Y. Short-distance trip mode choice behavior of the elderly. In: CICTP 2015. Beijing, China: American Society of Civil Engineers; 2015:3854–3865. DOI: 10.1061/9780784479292.355.
  26. [26] Sun G, Chen Y. A preliminary study on the theoretical framework and key features of overall traffic design for small towns--Taking the new town center area of Pingwang Town, Wujiang District, Suzhou City as an example. China Urban Transportation Planning Annual Meeting 2008, 17 Oct. 2018, Qingdao, China. 2018. p. 2723-2734.
  27. [27] Wang X, Zhou X, Wang W. Small town population research: Hot topics and prospects. Population and Society. 2023;39(5):87–97. DOI: 10.14132/j.2095-7963.2023.05.008.
  28. [28] Bird EL, et al. Predicting walking and cycling behaviour change using an extended theory of planned behaviour. Journal of Transport & Health. 2018;10:11–27. DOI: 10.1016/j.jth.2018.05.014.
  29. [29] Wang X, Xu L. The factors underlying drivers’ unwillingness to give way to ambulances: An application of an extended theory of planned behavior. Journal of Transport & Health. 2021;20:101000. DOI: 10.1016/j.jth.2020.101000.
  30. [30] Gibbons FX, Gerrard M, Lane DJ. A social reaction model of adolescent health risk. In: Suls J, Wallston KA. (eds.) Social Psychological Foundations of Health and Illness. Washington, US: Blackwell Publishing; 2003. p. 107–136.
  31. [31] Zhou H, Romero SB, Qin X. An extension of the theory of planned behavior to predict pedestrians’ violating crossing behavior using structural equation modeling. Accident Analysis & Prevention. 2016;95:417–424. DOI: 10.1016/j.aap.2015.09.009.
  32. [32] Mehta PD. Control variables in research. International Encyclopedia of the Social & Behavioral Sciences. 2001;2727-2730. DOI: 10.1016/B0-08-043076-7/00734-8.
  33. [33] Hair J. Multivariate data analysis. Boston, US: Faculty Publications; 2009.
  34. [34] Chin WW. The partial least squares approach for structural equation modeling. In: Marcoulides GA. (eds.) Modern methods for business research. Mahwah, NJ, US: Lawrence Erlbaum Associates Publishers; 1998. p. 295–336.
  35. [35] Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research. 1981;18(1):39. DOI: 10.2307/3151312.
  36. [36] Hulland J. Use of partial least squares (PLS) in strategic management research : A review of four recent studies. Use of partial least squares (PLS) in strategic management research : A review of four recent studies. 1999;20(2):195–204. DOI: 10.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.0.CO.
  37. [37] Lee HS, Shepley MM. Perceived neighborhood environments and leisure-time walking among Korean adults: An application of the theory of planned behavior. HERD: Health Environments Research & Design Journal. 2012;5(2):99–110. DOI: 10.1177/193758671200500208.
  38. [38] Zimmermann F, Sieverding M. Young adults’ social drinking as explained by an augmented theory of planned behaviour: The roles of prototypes, willingness, and gender. British Journal of Health Psychology. 2010;15(3):561–581. DOI: 10.1348/135910709X476558.
  39. [39] Galea MN, Bray SR. Predicting walking intentions and exercise in individuals with intermittent claudication: An application of the theory of planned behavior. Rehabilitation Psychology. 2006;51:299–305. DOI: 10.1037/0090-5550.51.4.299.
  40. [40] Williams SL, French DP. Theory of planned behaviour variables and objective walking behaviour do not show seasonal variation in a randomised controlled trial. BMC Public Health. 2014;14(1). DOI: 10.1186/1471-2458-14-120.
  41. [41] de Groot JIM, Bondy K, Schuitema G. Listen to others or yourself? The role of personal norms on the effectiveness of social norm interventions to change pro-environmental behavior. Journal of Environmental Psychology. 2021;78:101688. DOI: 10.1016/j.jenvp.2021.101688.
  42. [42] Sun L, Zhou X, Sun Z. Improving cycling behaviors of dockless bike-sharing users based on an extended theory of planned behavior and credit-based supervision policies in China. Frontiers in Psychology. 2019;10:2189. DOI: 10.3389/fpsyg.2019.02189.
  43. [43] Siren A, Hakamies-Blomqvist L. Private car as the grand equaliser? Demographic factors and mobility in Finnish men and women aged 65+. Transportation Research Part F: Traffic Psychology and Behaviour. 2004;7(2):107–118. DOI: 10.1016/j.trf.2004.02.003.
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