Dependence of the Future Elderly on Private Cars: A Case Study in Beijing

Keywords: travel demand, the future elderly, car ownership, mode choice, influencing factors,

Abstract

With the aging of population in the world, understanding the travel demands of the elderly is important. In China, the aging society is in the process of forming. Meanwhile the urban motorization has just started. The aim of this paper is to investigate the dependence of the future elderly on private cars. The data used here come from a stated preference (SP) survey of the young and middle-aged residents in the capital of China, Beijing. The influencing factors on the car ownership and mode choices of the future elderly are analysed based on the ordered logit model and MNL model, respectively. The effect of uncertainty in respondents’ statements on the car usage has been also investigated. The results show that the future elderly in Beijing become increasingly dependent on private cars. It is also found that younger people have higher propensities to own private cars and to make use of driving after the age of 65. Moreover, improving public transport services contributes to an increased ridership of public transport by the future elderly. The findings in this paper can provide valuable references for the aging society when making transport policies in Beijing.

Author Biographiesaaa replica rolex repwatches replica rolex watches for men replica iwc watch

Meiying Jian, Tsinghua University, Beijing

Ph.D. Candidate

Department of Civil Engineering,Tsinghua University,Beijing

Institute of Transportation
Jing Shi, Tsinghua University, Beijing

Prof., PhD, PE, APEC E

Director, Institute of Transportation Engineering R&D

Department of Civil Engineering,Tsinghua University,Beijing

Yang Liu, Tsinghua University, Beijing

Ph.D. Candidate

Department of Civil Engineering,Tsinghua University,Beijing
Institute of Transportation

References

Worldbank. World Development Indicators [Internet]. No date [cited 2016 May 11]. Available from: http://data.worldbank.org.cn/indicator/SP.POP.65UP.TO.ZS

OECD. Aging and Transport: Mobility Needs and Safety Issues, Organization for Economic Co-operation and Development, Paris; 2001.

Regelman M, Raman J. Micro Simulation of the Elderly Population's Effect on Iran's Pedestrian's Walking Flow. Promet – Traffic & Transportation. 2013;25(4): 331-342.

Hildebrand ED. Dimensions in elderly travel behaviour: a simplified activity-based model using lifestyle clusters. Transportation. 2003; 30(3): 285-306.

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 & Behaviour. 2004;7(2): 107-118.

Farber S, Paez A, Mercado RG, Roorda M, Morency C. A time-use investigation of shopping participation in three Canadian cities: is there evidence of social exclusions?. Transportation. 2011;38(1): 17-44.

Habib KN. An investigation on mode choice and travel distance demand of older people in the National Capital Region (NCR) of Canada: application of a utility theoretic joint econometric model. Transportation. 2015;42(1): 143-161.

Rosenbloom S. Sustainability and automobility among the elderly: An international assessment. Transportation. 2001;28(4): 375-408.

Collia DV, Sharp J, Giesbrecht L. The 2001 National Household Travel Survey: a look into the travel patterns of older Americans. Journal of Safety Research. 2003;34(4): 461-70.

Newbold KB, Scott DM, Spinney JEL, et al. Travel behaviour within Canada’s older population: a cohort analysis. Journal of Transport Geography. 2005;13(4): 340-351.

Hjorthol RJ, Levin L, Sirén A. Mobility in different generations of older persons: The development of daily travel in different cohorts in Denmark, Norway and Sweden. Journal of Transport Geography. 2010;18(5): 624-633.

Schmöcker JD, Quddus MA, Noland RB, et al. Mode choice of older and disabled people: a case study of shopping trips in London. Journal of Transport Geography. 2008;16(4): 257-267.

Zhang Z, Mao BH, Liu MJ, et al. An Analysis of Travel Patterns of the Elders in Beijing. Journal of Transportation Systems Engineering & Information Technology. 2007;7(6): 11-20.

Kim S, Ulfarsson GF. Travel Mode Choice of the Elderly: Effects of Personal, Household, Neighborhood, and Trip Characteristics. Transportation Research Record: Journal of the Transportation Research Board. 2004;1894(1894).

Moniruzzaman M, Páez A, Habib KMN, et al. Mode use and trip length of seniors in Montreal. Journal of Transport Geography. 2013;30(30): 89-99.

Su F, Bell MGH. Transport for older people: Characteristics and solutions. Research in Transportation Economics. 2009;25(1): 46-55.

Su F, Schmöcker JD, Bell MGH. Mode choice of older people before and after shopping. Journal of Transport & Land Use. 2007;2(1): 29-46.

Hensher DA. Stated preference analysis of travel choices: the state of practice. Transportation. 1994;21(2): 107-133.

Train KE. Discrete Choice Methods with Simulation. London: Cambridge University Press; 2009.

Haustein S. Mobility behavior of the elderly: an attitude-based segmentation approach for a heterogeneous target group. Transportation. 2012;39(6): 1079-1103.

National Bureau of Statistics of China. Tabulation on the 2010 Population Census of the People's Republic of China [Internet]. 2015 [cited 2016 Apr 21]. Available from: http://www.stats.gov.cn/tjsj/ndsj/

Beijing municipal human resources and social security bureau [image on the Internet]. 2012 [cited 2016 May 15]. Available from: http://www.bjrbj.gov.cn/bmfw/

Evans EL. Influences on Mobility Among Non-Driving Older Americans. Transportation Research Circular. Issue E-C026; 2001. p. 151-168.

Berg PVD, Arentze T, Timmermans H. Estimating social travel demand of senior citizens in the Netherlands. Journal of Transport Geography. 2011;19(2): 323-331.

Van den Berg P, Arentze T, Timmermans H. Estimating social travel demand of senior citizens in the Netherlands. Journal of Transport Geography. 2011;19(2): 323-331.

Shanmugaratnam S, Kass SJ, Arruda JE. Age differences in cognitive and psychomotor abilities and simulated driving. Accident Analysis and Prevention. 2010;42(3): 802-8.

Tollazzi T, Renčelj M, Rodošek V, et al. Traffic Safety of Older Drivers in Various Types of Road Intersections. Promet – Traffic & Transportation. 2010;22(3): 193-201.

Published
2018-02-23
How to Cite
1.
Jian M, Shi J, Liu Y. Dependence of the Future Elderly on Private Cars: A Case Study in Beijing. Promet [Internet]. 2018Feb.23 [cited 2024Apr.18];30(1):45-. Available from: http://traffic.fpz.hr/index.php/PROMTT/article/view/2364
Section
Articles