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Older People's Mobility: Segments, Factors, Trends

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  • Sonja Haustein
  • Anu Siren

Abstract

The expanding older population is increasingly diverse with regard to, for example, age, income, location, and health. Within transport research, this diversity has recently been addressed in studies that segment the older population into homogeneous groups based on combinations of various demographic, health-related, or transport-related factors. This paper reviews these studies and compares the segments of older people that different studies have identified. First, as a result of a systematic comparison, we identified four generic segments: (1) an active car-oriented segment; (2) a car-dependent segment, restricted in mobility; (3) a mobile multi-modal segment; (4) and a segment depending on public transport and other services. Second, we examined the single factors used in the reviewed segmentation studies, with focus on whether there is evidence in the literature for the factors' effect on older people's travel behaviour. Based on this, we proposed a theoretical model on how the different determinants work together to form the four mobility patterns related to the identified segments. Finally, based on current trends and expectations, we assessed which segments are likely to increase or decrease in future generations of older people and what should be done to support the multi-optional and independent mobility of older people.

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  • Sonja Haustein & Anu Siren, 2015. "Older People's Mobility: Segments, Factors, Trends," Transport Reviews, Taylor & Francis Journals, vol. 35(4), pages 466-487, July.
    • Handle: RePEc:taf:transr:v:35:y:2015:i:4:p:466-487
    DOI: 10.1080/01441647.2015.1017867
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    Cited by:

    1. Eugène Loos & Maria Sourbati & Frauke Behrendt, 2020. "The Role of Mobility Digital Ecosystems for Age-Friendly Urban Public Transport: A Narrative Literature Review," IJERPH, MDPI, vol. 17(20), pages 1-16, October.
    2. Bayart, Caroline & Bonnel, Patrick & Havet, Nathalie, 2018. "Daily (im)mobility behaviours in France: An application of hurdle models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 456-467.
    3. Timothée Cuignet & Camille Perchoux & Geoffrey Caruso & Olivier Klein & Sylvain Klein & Basile Chaix & Yan Kestens & Philippe Gerber, 2020. "Mobility among older adults: Deconstructing the effects of motility and movement on wellbeing," Urban Studies, Urban Studies Journal Limited, vol. 57(2), pages 383-401, February.
    4. Ahmad, Zaheer & Batool, Zahara & Starkey, Paul, 2019. "Understanding mobility characteristics and needs of older persons in urban Pakistan with respect to use of public transport and self-driving," Journal of Transport Geography, Elsevier, vol. 74(C), pages 181-190.
    5. Weite Lu & Chunqin Zhang & Xunyou Ni & Haiqiang Liu, 2020. "Do the Elderly Need Wider Parking Spaces? Evidence from Experimental and Questionnaire Surveys," Sustainability, MDPI, vol. 12(9), pages 1-15, May.
    6. Tzuyuan Stessa Chao & Xiaoqin Jiang & Yi Sun & Jheng-Ze Yu, 2021. "A Space-Time Analysis of Rural Older People’s Outdoor Mobility and Its Impact on Self-Rated Health: Evidence from a Taiwanese Rural Village," IJERPH, MDPI, vol. 18(11), pages 1-18, May.
    7. Long Chen & Chenglu Yang & Peng Jing & Qifen Zha & Xingyue Wang & Weichao Wang, 2023. "Are they willing to switch from non-driving to driving? An exploratory study among Chinese older people," Transportation, Springer, vol. 50(4), pages 1125-1163, August.
    8. Kluge, Ulrike & Ringbeck, Jürgen & Spinler, Stefan, 2020. "Door-to-door travel in 2035 – A Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    9. Schmalz, Ulrike & Ringbeck, Jürgen & Spinler, Stefan, 2021. "Door-to-door air travel: Exploring trends in corporate reports using text classification models," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    10. Zhang Sen & Zhang Ke & Liu Xiaoyang & Zeng Jian & Liu Yan & Zhao Lian, 2022. "Characterisation of elderly daily travel behaviour in Tianjin using a space–time cube," Environment and Planning B, , vol. 49(2), pages 603-618, February.
    11. Stanislav S. Borysov & Jeppe Rich, 2021. "Introducing synthetic pseudo panels: application to transport behaviour dynamics," Transportation, Springer, vol. 48(5), pages 2493-2520, October.
    12. Carlo Luiu & Miles Tight & Michael Burrow, 2018. "Factors Preventing the Use of Alternative Transport Modes to the Car in Later Life," Sustainability, MDPI, vol. 10(6), pages 1-21, June.
    13. Ma, Jingwen & Zhao, Shengchuan & Li, Wu & Liu, Meng & Luo, Huanhuan, 2022. "Heterogeneity in seniors' unmet walking needs: A latent class analysis," Journal of Transport Geography, Elsevier, vol. 104(C).
    14. Goletz, Mirko & Haustein, Sonja & Wolking, Christina & L’Hostis, Alain, 2020. "Intermodality in European metropolises: The current state of the art, and the results of an expert survey covering Berlin, Copenhagen, Hamburg and Paris," Transport Policy, Elsevier, vol. 94(C), pages 109-122.
    15. Haustein, Sonja & Nielsen, Thomas A. Sick, 2016. "European mobility cultures: A survey-based cluster analysis across 28 European countries," Journal of Transport Geography, Elsevier, vol. 54(C), pages 173-180.
    16. Shirgaokar, Manish & Nobler, Erin, 2021. "Differences in daily trips between immigrants and US-born individuals: Implications for social integration," Transport Policy, Elsevier, vol. 105(C), pages 103-114.
    17. Shaila Jamal & K. Bruce Newbold, 2020. "Factors Associated with Travel Behavior of Millennials and Older Adults: A Scoping Review," Sustainability, MDPI, vol. 12(19), pages 1-27, October.
    18. He, Sylvia Y. & Cheung, Yannie H.Y. & Tao, Sui, 2018. "Travel mobility and social participation among older people in a transit metropolis: A socio-spatial-temporal perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 608-626.

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