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Non-linear characteristics in switching intention to use a docked bike-sharing system

Author

Listed:
  • Yi-Wen Kuo

    (National Sun Yat-sen University)

  • Cheng-Hsien Hsieh

    (Singapore University of Social Sciences)

  • Yu-Chen Hung

    (Singapore University of Social Sciences)

Abstract

Bike-sharing systems have been popular in addressing the “last mile” problem in public transit. However, service providers have found challenges when soliciting travellers to shift from their private vehicles: more stations do not always mean higher switching by private vehicle users. Considering the possible non-linear relationship between service provision and intention to use, this study utilises the cusp catastrophe model to analyse travellers’ intentions to use a bike-sharing system. The proposed model employs usage intention as the state variable, while switching barriers and accessibility are used as splitting factor and normal factor, respectively. This study measures participants’ usage intentions for two trip purposes and nine accessibility scenarios for CityBike, a public docked bike-sharing system in an Asian city where the majority of travellers use private vehicles. The results support a non-linear relationship between service provision and intention to use with the catastrophe characteristics including divergence, sudden transitions, and hysteresis of usage intention. In particular, travellers with higher switching barriers show a sudden, yet delayed response to improvements in a service only when it reaches a threshold in accessibility (e.g., 100 m away from the station and the lead time for rental within 3 min), whereas those with low switching barriers respond immediately to service improvements. We discuss marketing implications in facilitating switching to docked bike-sharing services among different segments. This research has made theoretical and empirical contributions, by supporting the non-linearity between accessibility and usage intention, along with diverse marketing materials and service provision catering to different usage occasions.

Suggested Citation

  • Yi-Wen Kuo & Cheng-Hsien Hsieh & Yu-Chen Hung, 2021. "Non-linear characteristics in switching intention to use a docked bike-sharing system," Transportation, Springer, vol. 48(3), pages 1459-1479, June.
    • Handle: RePEc:kap:transp:v:48:y:2021:i:3:d:10.1007_s11116-020-10102-2
    DOI: 10.1007/s11116-020-10102-2
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    1. Lange Rense & Oliva Terence A. & McDade Sean R., 2000. "An Algorithm for Estimating Multivariate Catastrophe Models: GEMCAT II," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 4(3), pages 1-34, October.
    2. Jakub Steiner & Colin Stewart & Filip Matějka, 2017. "Rational Inattention Dynamics: Inertia and Delay in Decision‐Making," Econometrica, Econometric Society, vol. 85, pages 521-553, March.
    3. 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.
    4. H. M. Abdul Aziz & Nicholas N. Nagle & April M. Morton & Michael R. Hilliard & Devin A. White & Robert N. Stewart, 2018. "Exploring the impact of walk–bike infrastructure, safety perception, and built-environment on active transportation mode choice: a random parameter model using New York City commuter data," Transportation, Springer, vol. 45(5), pages 1207-1229, September.
    5. Corcoran, Jonathan & Li, Tiebei & Rohde, David & Charles-Edwards, Elin & Mateo-Babiano, Derlie, 2014. "Spatio-temporal patterns of a Public Bicycle Sharing Program: the effect of weather and calendar events," Journal of Transport Geography, Elsevier, vol. 41(C), pages 292-305.
    6. Cobb, Loren, 1980. "Estimation Theory for the Cusp Catastrophe Model," MPRA Paper 37548, University Library of Munich, Germany, revised 05 Jun 2010.
    7. Tien Dung Tran & Nicolas Ovtracht & Bruno Faivre D’arcier, 2015. "Modeling Bike Sharing System using Built Environment Factors," Post-Print halshs-01474166, HAL.
    8. William Jen & Rungting Tu & Tim Lu, 2011. "Managing passenger behavioral intention: an integrated framework for service quality, satisfaction, perceived value, and switching barriers," Transportation, Springer, vol. 38(2), pages 321-342, March.
    9. Ezlika Ghazali & Bang Nguyen & Dilip S. Mutum & Amrul Asraf Mohd-Any, 2016. "Constructing online switching barriers: examining the effects of switching costs and alternative attractiveness on e-store loyalty in online pure-play retailers," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 157-171, May.
    10. Dell'Amico, Mauro & Hadjicostantinou, Eleni & Iori, Manuel & Novellani, Stefano, 2014. "The bike sharing rebalancing problem: Mathematical formulations and benchmark instances," Omega, Elsevier, vol. 45(C), pages 7-19.
    11. Chen, Ching-Fu & Chang, Yu-Ying, 2008. "Airline brand equity, brand preference, and purchase intentions—The moderating effects of switching costs," Journal of Air Transport Management, Elsevier, vol. 14(1), pages 40-42.
    12. repec:cup:judgdm:v:2:y:2007:i::p:96-106 is not listed on IDEAS
    13. Abou-Zeid, Maya & Ben-Akiva, Moshe, 2012. "Travel mode switching: Comparison of findings from two public transportation experiments," Transport Policy, Elsevier, vol. 24(C), pages 48-59.
    14. Fishman, Elliot & Washington, Simon & Haworth, Narelle & Mazzei, Armando, 2014. "Barriers to bikesharing: an analysis from Melbourne and Brisbane," Journal of Transport Geography, Elsevier, vol. 41(C), pages 325-337.
    15. David Hensher & April Reyes, 2000. "Trip chaining as a barrier to the propensity to use public transport," Transportation, Springer, vol. 27(4), pages 341-361, December.
    16. Mao, Chi-Kuo & Ding, Cherng G. & Lee, Hsiu-Yu, 2010. "Post-SARS tourist arrival recovery patterns: An analysis based on a catastrophe theory," Tourism Management, Elsevier, vol. 31(6), pages 855-861.
    17. Wafic El-Assi & Mohamed Salah Mahmoud & Khandker Nurul Habib, 2017. "Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto," Transportation, Springer, vol. 44(3), pages 589-613, May.
    18. Martens, Karel, 2007. "Promoting bike-and-ride: The Dutch experience," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(4), pages 326-338, May.
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