Public transport use among the urban and rural elderly in China: Effects of personal, attitudinal, household, social-environment and built-environment factors
Yi Zhang
Shanghai Jiao Tong University
Wei Wu
Changsha University of Science and Technology
Qian He
University of Texas at Arlington
Chaoyang Li
Shanghai Jiao Tong University
DOI: https://doi.org/10.5198/jtlu.2018.978
Keywords: elderly, public transport use, social environment, built environment, negative binomial regression
Abstract
Public transport brings significant benefits to the aging society by providing essential mobility to the elderly. However, few studies have investigated the factors that impact public transport use among the urban or rural elderly. This study explored the effects of personal, attitudinal, household, social environment, and built environment factors on the public transport trips of the elderly. The research data was collected from 274 urban and rural neighborhoods of Zhongshan, a medium-sized Chinese city. The negative binomial regression models suggest that, all else being equal, living in a neighborhood with a high level of public transport service, abundant green space along walking routes connecting home and bus-stops, or a relatively balanced structure of age or income is strongly connected to more public transport trips of the elderly. The results also indicate that a strong preference for public transport is significantly related to the public transport use among the elderly. These findings facilitate our understanding of the correlates of public transport use while providing insights into achieving an effective design of policies to encourage public transport use among the elderly in China.References
Aceves-González, C., Cook, S., & May, A. (2015). Bus use in a developing world city: Implications for the health and well-being of older passengers. Journal of Transport & Health, 2(2), 308–316.
Ball, K., Jeffery, R. W., Abbott, G., McNaughton, S. A., & Crawford, D. (2010). Is healthy behavior contagious? Associations of social norms with physical activity and healthy eating. International Journal of Behavioral Nutrition and Physical Activity, 7, 86.
Bamberg, S., Hunecke, M., & Blobaum, A. (2007). Social context, personal norms and the use of public transportation: Two field studies. Journal of Environmental Psychology, 27(3), 190–203.
Banister, D., & Bowling, A. (2004). Quality of life for the elderly: The transport dimension. Transport Policy, 11(2), 105–115.
Barnes, R., Winters, M., Ste-Marie, N., McKay, H., & Ashe, M. C. (2016). Age and retirement status differences in associations between the built environment and active travel behavior. Journal of Transport & Health, 3(4), 513–522.
Barnett, E., & Casper, M. (2001). A definition of “social environment.” American Journal of Public Health, 91(3), 465.
Broome, K., McKenna, K., Fleming, J., & Worrall, L. (2009). Bus use and older people: A literature review applying the Person-Environment-Occupation model in macro practice. Scandinavian Journal of Occupational Therapy, 16(1), 3–12.
Burkhardt, J. (2003). Critical measures of transit service quality in the eyes of older travelers. Transportation Research Record: Journal of the Transportation Research Board, 1835, 84–92.
Cerin, E., Lee, K.-Y., Barnett, A., Sit, C., Cheung, M.-C., Chan, W.-M., & Johnston, J. M. (2013). Walking for transportation in Hong Kong Chinese urban elders: A cross-sectional study on what destinations matter and when. International Journal of Behavioral Nutrition and Physical Activity, 10(1), 78.
Chen, W.-H. (2010). Exploring travel characteristics and factors affecting the degree of willingness of seniors in Taiwan to use an alternative service bus. Transportation Research Record: Journal of the Transportation Research Board, 2182, 71–78.
Day, K. (2016). Built environmental correlates of physical activity in China: A review. Preventive Medicine Reports, 3, 303–316.
Day, K., Loh, L., Ruff, R. R., Rosenblum, R., Fischer, S., & Lee, K. K. (2014). Does bus rapid transit promote walking? An examination of New York City’s select bus service. Journal of Physical Activity and Health, 11(8), 1512–1516.
Ding, C., Lin, Y., & Liu, C. (2014). Exploring the influence of built environment on tour-based commuter mode choice: A cross-classified multilevel modeling approach. Transportation Research Part D: Transport and Environment, 32, 230–238.
Ding, C., Wang, Y., Yang, J., Liu, C., & Lin, Y. (2016). Spatial heterogeneous impact of built environment on household auto ownership levels: Evidence from analysis at traffic analysis zone scales. Transportation Letters, 8(1), 26–34.
Doran, R., & Larsen, S. (2015). The relative importance of social and personal norms in explaining intentions to choose eco-friendly travel options. International Journal of Tourism Research, 18(2), 159–166.
Duvarci, Y., Yigitcanlar, T., Alver, Y., & Mizokami, S. (2010). Variant concept of transportation-disadvantaged: Evidence from Aydin, Turkey, and Yamaga, Japan. Journal of Urban Planning and Development, 137(1), 82–90.
Ewing, R., & Cervero, R. (2010). Travel and the built environment. Journal of the American Planning Association, 76(3), 265–294.
Ge, D., Sun, L., Zhou, C., Qian, Y., Zhang, L., & Medina, A. (2017). Exploring the risk factors of suicidal ideation among the seniors in Shandong, China: A path analysis. Journal of Affective Disorders, 207, 393–397.
Giuliano, G. (2005). Low income, public transit, and mobility. Transportation Research Record: Journal of the Transportation Research Board, 1927, 63–70.
Godin, G., & Kok, G. (1996). The theory of planned behavior: A review of its applications to health-related behaviors. American Journal of Health Promotion, 11(2), 87–98.
Haselwandter, E. M., Corcoran, M. P., Folta, S. C., Hyatt, R., Fenton, M., & Nelson, M. E. (2015). The built environment, physical activity, and aging in the United States: A state of the science review. Journal of Aging and Physical Activity, 23(2), 323–329.
Hess, D. B. (2009). Access to public transit and its influence on ridership for older adults in two US cities. Journal of Transport and Land Use, 2(1), 3–27.
Hess, D. B. (2012). Walking to the bus: Perceived versus actual walking distance to bus stops for older adults. Transportation, 39(2), 247–266.
Jang, T. Y. (2005). Count data models for trip generation. Journal of Transportation Engineering, 131(6), 444–450.
Ji, Y. J., Fan, Y. L., Ermagun, A., Cao, X. N., Wang, W., & Das, K. (2017). Public bicycle as a feeder mode to rail transit in China: The role of gender, age, income, trip purpose, and bicycle theft experience. International Journal of Sustainable Transportation, 11(4), 308–317.
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 Behavior, 14(5), 422–429.
Kockelman, K. M. (1997). Travel behavior as function of accessibility, land use mixing, and land use balance: Evidence from San Francisco Bay Area. Transportation Research Record: Journal of the Transportation Research Board, 1607(1), 116–125.
Ku, P.-W., McKenna, J., & Fox, K. R. (2007). Dimensions of subjective well-being and effects of physical activity in Chinese older adults. Journal of Aging and Physical Activity, 15(4), 382–397.
Lewsey, J. D., & Thomson, W. M. (2004). The utility of the zero-inflated Poisson and zero-inflated negative binomial models: A case study of cross-sectional and longitudinal DMF data examining the effect of socio-economic status. Community Dentistry and Oral Epidemiology, 32(3), 183–189.
Long, J. S. (1997). Regression models for categorical and limited dependent variables (Vol. 7). Thousand Oaks, CA: Sage Publications.
Long, J. S., & Freese, J. (2006). Regression models for categorical dependent variables using Stata. College Station, TX: StataCorp LP.
Martinez, L. M., Viegas, J. M., & Silva, E. A. (2009). A traffic analysis zone definition: A new methodology and algorithm. Transportation, 36(5), 581–599.
Musselwhite, C., Holland, C., & Walker, I. (2015). The role of transport and mobility in the health of older people. Journal of Transport & Health, 2(1), 1–4.
Riva, M., Gauvin, L., Apparicio, P., & Brodeur, J.-M. (2009). Disentangling the relative influence of built and socioeconomic environments on walking: The contribution of areas homogenous along exposures of interest. Social Science & Medicine, 69(9), 1296–1305.
Rodríguez, D. A., Evenson, K. R., Diez Roux, A. V., & Brines, S. J. (2009). Land use, residential density, and walking: The multi-ethnic study of atherosclerosis. American journal of preventive medicine, 37(5), 397–404.
Roof, K., & Oleru, N. (2008). Public health: Seattle and King County's push for the built environment. Journal of Environmental Health, 71(1), 24–27.
Ryan, J., Wretstrand, A., & Schmidt, S. M. (2015). Exploring public transport as an element of older persons' mobility: A capability pproach perspective. Journal of Transport Geography, 48, 105–114.
Siu, V. W., Lambert, W. E., Fu, R., Hillier, T. A., Bosworth, M., & Michael, Y. L. (2012). Built environment and its influences on walking among older women: Use of standardized geographic units to define urban forms. Journal of Environmental and Public Health, 2012, 203141.
Srinivasan, S., O'Fallon, L. R., & Dearry, A. (2003). Creating healthy communities, healthy homes, healthy people: Initiating a research agenda on the built environment and public health. American Journal of Public Health, 93(9), 1446–1450.
Sun, D. J., Zhang, Y., Xue, R., & Zhang, Y. (2017). Modeling carbon emissions from urban traffic system using mobile monitoring. Science of the Total Environment, 599–600, 944–951.
Van Cauwenberg, J., De Bourdeaudhuij, I., De Meester, F., Van Dyck, D., Salmon, J., Clarys, P., & Deforche, B. (2011). Relationship between the physical environment and physical activity in older adults: A systematic review. Health & Place, 17(2), 458–469.
Voss, C., Sims-Gould, J., Ashe, M. C., McKay, H. A., Pugh, C., & Winters, M. (2016). Public transit use and physical activity in community-dwelling older adults: Combining GPS and accelerometry to assess transportation-related physical activity. Journal of Transport & Health, 3(2), 191–199.
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 & Land Use, 2(2), 49–65.
Wu, W., Liu, Y., Xu, Y., Wei, Q., & Zhang, Y. (2017). Traffic control models based on cellular automata for at-grade intersections in autonomous vehicle environment. Journal of Sensors, 2017, 6.
Wu, W., Ma, W., Long, K., & Wang, Y. (2016). Integrated optimization of bus priority operations in connected vehicle environment. Journal of Advanced Transportation, 50(8), 1853–1869.
Wu, W., Ma, W., Long, K., Zhou, H., & Zhang, Y. (2016). Designing sustainable public transportation: Integrated optimization of bus speed and holding time in a connected vehicle environment. Sustainability, 8(11), 1170.
Ying, Z., Ning, L. D., & Xin, L. (2015). Relationship between built environment, physical activity, adiposity, and health in adults aged 46–80 in Shanghai, China. Journal of Physical Activity and Health, 12(4), 569–578.
Zegras, C. (2010). Land use and transport in China. Journal of Transport and Land Use, 3(3), 1–3.
Zhang, Y., Li, C., Liu, Q., & Wu, W. (2018). The socioeconomic characteristics, urban built environment and household car ownership in a rapidly growing city: Evidence from Zhongshan, China. Journal of Asian Architecture and Building Engineering, 17(1), 133–140.
Zhang, Y., Li, C., Ding, C., Zhao, C., & Huang, J. (2016). The built environment and the frequency of cycling trips by urban elderly: Insights from Zhongshan, China. Journal of Asian Architecture and Building Engineering, 15(3), 511–518.
Zhang, Y., Li, Y., Liu, Q., & Li, C. (2014). The built environment and walking activity of the elderly: An Empirical Analysis in the Zhongshan Metropolitan Area, China. Sustainability, 6(2), 1076–1092.
Zhang, Y., Li, Y., Yang, X., Liu, Q., & Li, C. (2013). Built environment and household electric bike ownership. Transportation Research Record: Journal of the Transportation Research Board, 2387(1), 102111.
Zhang, Y., Yang, X., Li, Y., Liu, Q., & Li, C. (2014). Household, personal and environmental correlates of rural elderly's cycling activity: Evidence from Zhongshan Metropolitan Area, China. Sustainability, 6(6), 3599–3614.
Zhang, Z., Jin, W., Jiang, H., Xie, Q., Shen, W., & Han, W. (2017). Modeling heterogeneous vehicle ownership in China: A case study based on the Chinese national survey. Transport Policy, 54(Supplement C), 11–20.
Zhongshan Municipal Bureau of Urban Planning. (2010). Zhongshan transportation development planning. Zhongshan, China: Zhongshan Municipal Bureau of Urban Planning.
Zhu, W., Chi, A., & Sun, Y. (2016). Physical activity among older Chinese adults living in urban and rural areas: A review. Journal of Sport and Health Science, 5(3), 281–286.