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Perceived accessibility, mobility, and connectivity of public transportation systems

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  • Cheng, Yung-Hsiang
  • Chen, Ssu-Yun

Abstract

Although public transportation is considered effective at reducing the external cost of driving private vehicles, many urbanites do not use public transportation. This study develops measures employing accessibility, mobility, and seamless connectivity for an entire public transportation service chain as indicators for evaluating public transport services, prioritizes underperforming scenarios from the perspective of urban travelers, and derives various market segmentation strategies that consider different socio-demographic characteristics. A conceptual model is set up herein to assess these latent constructs that describe unobservable and immeasurable characteristics. As a Likert ordinal scale can generate misleading statistical inferences, the Rasch model is used to eliminate bias generated by an ordinal scale when measuring these three latent constructs separately. The Rasch model compares person parameters with item parameters, which are then subjected to logarithmic transformation along a logit scale so as to recognize specific difficulties of service scenarios that cannot be easily eliminated by certain urban travelers. The multidimensional Rasch model also measures the perceptions of urban travelers in terms of the interactions between accessibility, mobility, and seamless connectivity of this public transportation system. While comparing urban travelers of two large cities in Taiwan, Taipei and Kaohsiung, the empirical results demonstrate that perceived accessibility, mobility, and seamless connectivity differ based on travelers’ age, frequency of weekly sports activities, and environmental awareness. This paper also advances appropriate improvement strategies and provides policy suggestions for urban planners, public transportation service operation agencies, and policy makers when they seek to create user-friendly public transportation services. The proposed approach can be generalized in other cities by considering their local context uniqueness and further evaluating their public transport services.

Suggested Citation

  • Cheng, Yung-Hsiang & Chen, Ssu-Yun, 2015. "Perceived accessibility, mobility, and connectivity of public transportation systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 386-403.
  • Handle: RePEc:eee:transa:v:77:y:2015:i:c:p:386-403
    DOI: 10.1016/j.tra.2015.05.003
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    References listed on IDEAS

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    1. Cox, Tom & Houdmont, Jonathan & Griffiths, Amanda, 2006. "Rail passenger crowding, stress, health and safety in Britain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(3), pages 244-258, March.
    2. Welch, Timothy F. & Mishra, Sabyasachee, 2013. "A measure of equity for public transit connectivity," Journal of Transport Geography, Elsevier, vol. 33(C), pages 29-41.
    3. Stradling, Stephen & Carreno, Michael & Rye, Tom & Noble, Allyson, 2007. "Passenger perceptions and the ideal urban bus journey experience," Transport Policy, Elsevier, vol. 14(4), pages 283-292, July.
    4. Mishra, Sabyasachee & Welch, Timothy F. & Jha, Manoj K., 2012. "Performance indicators for public transit connectivity in multi-modal transportation networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 1066-1085.
    5. Mavoa, Suzanne & Witten, Karen & McCreanor, Tim & O’Sullivan, David, 2012. "GIS based destination accessibility via public transit and walking in Auckland, New Zealand," Journal of Transport Geography, Elsevier, vol. 20(1), pages 15-22.
    6. Yung-Hsiang Cheng, 2010. "Exploring passenger anxiety associated with train travel," Transportation, Springer, vol. 37(6), pages 875-896, November.
    7. Hine, J. & Scott, J., 2000. "Seamless, accessible travel: users' views of the public transport journey and interchange," Transport Policy, Elsevier, vol. 7(3), pages 217-226, July.
    8. Tyrinopoulos, Yannis & Antoniou, Constantinos, 2008. "Public transit user satisfaction: Variability and policy implications," Transport Policy, Elsevier, vol. 15(4), pages 260-272, July.
    9. Hadas, Yuval & Ranjitkar, Prakash, 2012. "Modeling public-transit connectivity with spatial quality-of-transfer measurements," Journal of Transport Geography, Elsevier, vol. 22(C), pages 137-147.
    10. Rossi P. E & Gilula Z. & Allenby G. M, 2001. "Overcoming Scale Usage Heterogeneity: A Bayesian Hierarchical Approach," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 20-31, March.
    11. Givoni, Moshe & Rietveld, Piet, 2007. "The access journey to the railway station and its role in passengers' satisfaction with rail travel," Transport Policy, Elsevier, vol. 14(5), pages 357-365, September.
    12. John Preston, 2012. "Integration for Seamless Transport," International Transport Forum Discussion Papers 2012/1, OECD Publishing.
    13. Miranda, Hellem de Freitas & Rodrigues da Silva, Antônio Nélson, 2012. "Benchmarking sustainable urban mobility: The case of Curitiba, Brazil," Transport Policy, Elsevier, vol. 21(C), pages 141-151.
    14. Gu, Weihua & Gayah, Vikash V. & Cassidy, Michael J. & Saade, Nathalie, 2014. "On the impacts of bus stops near signalized intersections: Models of car and bus delays," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 123-140.
    15. Wall, Graham & McDonald, Mike, 2007. "Improving bus service quality and information in Winchester," Transport Policy, Elsevier, vol. 14(2), pages 165-179, March.
    16. Brons, Martijn & Givoni, Moshe & Rietveld, Piet, 2009. "Access to railway stations and its potential in increasing rail use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(2), pages 136-149, February.
    17. Ben-Akiva, Moshe & Morikawa, Takayuki, 2002. "Comparing ridership attraction of rail and bus," Transport Policy, Elsevier, vol. 9(2), pages 107-116, April.
    18. Chang, Hsin-Li & Wu, Shun-Cheng, 2008. "Exploring the vehicle dependence behind mode choice: Evidence of motorcycle dependence in Taipei," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(2), pages 307-320, February.
    19. Robert Mislevy, 1984. "Estimating latent distributions," Psychometrika, Springer;The Psychometric Society, vol. 49(3), pages 359-381, September.
    20. Elias, Wafa & Shiftan, Yoram, 2012. "The influence of individual’s risk perception and attitudes on travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1241-1251.
    21. Cheng, Yung-Hsiang & Liu, Kuo-Chu, 2012. "Evaluating bicycle-transit users’ perceptions of intermodal inconvenience," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1690-1706.
    22. Jeroen C.J.M. van den Bergh (ed.), 1999. "Handbook of Environmental and Resource Economics," Books, Edward Elgar Publishing, number 801.
    23. Dziekan, Katrin & Kottenhoff, Karl, 2007. "Dynamic at-stop real-time information displays for public transport: effects on customers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(6), pages 489-501, July.
    24. Guo, Zhan & Wilson, Nigel H.M., 2011. "Assessing the cost of transfer inconvenience in public transport systems: A case study of the London Underground," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(2), pages 91-104, February.
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