IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v46y2012i10p1690-1706.html
   My bibliography  Save this article

Evaluating bicycle-transit users’ perceptions of intermodal inconvenience

Author

Listed:
  • Cheng, Yung-Hsiang
  • Liu, Kuo-Chu

Abstract

Bicycles and transit systems are considered to be the pinnacle of green transportation. The combined use of the two could provide a competitive alternative for an integrated, green, and seamless service, yet relatively few studies have investigated the multimodal integration problems of the entire service chain from the perspective of users. Users’ perceived inconvenience during travel can be regarded as a latent construct that describes an unobservable and immeasurable characteristic. Nevertheless, the traditional Likert method in an ordinal scale causes a misleading statistical inference. The Rasch model eliminates such bias generated by an ordinal scale through a logistic linear transformation, and it compares person parameters with item parameters, which are then subjected to a logarithmic transformation along a logit scale to clearly identify which service items’ inconvenience cannot be easily overcome by certain users. This empirical study demonstrates that perceived inconveniences differ based on the users’ sex, riding frequency, trip purpose, and environmental awareness. The differential item functioning analysis that was adopted in this study can identify the critical factors leading to the differences in perceived inconvenience. Our empirical results suggest that a male cyclist who is a commuter with a high monthly riding frequency and who is environmentally conscious has a better ability than their counterpart to overcome perceived inconveniences during travel using a bicycle-transit service. To effectively mitigate users’ perceived inconvenience, the Rasch analytical results suggest that the improvement of the intra-transit system factors in the short term and the improvement of external environmental factors in the long term will be successful. The information herein proves useful for transportation planners and policy makers when considering the special travel needs of certain groups to create a user-friendly bicycle-transit travel environment that promotes its usage.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transa:v:46:y:2012:i:10:p:1690-1706
    DOI: 10.1016/j.tra.2012.10.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856412001528
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2012.10.013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Geoff Masters, 1982. "A rasch model for partial credit scoring," Psychometrika, Springer;The Psychometric Society, vol. 47(2), pages 149-174, June.
    3. Henson, Spencer & Blandon, Jose & Cranfield, John, 2010. "Difficulty of healthy eating: A Rasch model approach," Social Science & Medicine, Elsevier, vol. 70(10), pages 1574-1580, May.
    4. 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.
    5. Ehrgott, Matthias & Wang, Judith Y.T. & Raith, Andrea & van Houtte, Chris, 2012. "A bi-objective cyclist route choice model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 652-663.
    6. Janice Kirner Providelo & Suely Penha Sanches, 2011. "Roadway and traffic characteristics for bicycling," Transportation, Springer, vol. 38(5), pages 765-777, September.
    7. Ross Morrow, W. & Gallagher, Kelly Sims & Collantes, Gustavo & Lee, Henry, 2010. "Analysis of policies to reduce oil consumption and greenhouse-gas emissions from the US transportation sector," Energy Policy, Elsevier, vol. 38(3), pages 1305-1320, March.
    8. Ortúzar, Juan de Dios & Iacobelli, Andrés & Valeze, Claudio, 2000. "Estimating demand for a cycle-way network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(5), pages 353-373, June.
    9. Susan Handy & Yan Xing & Theodore Buehler, 2010. "Factors associated with bicycle ownership and use: a study of six small U.S. cities," Transportation, Springer, vol. 37(6), pages 967-985, November.
    10. Bowes, David R. & Ihlanfeldt, Keith R., 2001. "Identifying the Impacts of Rail Transit Stations on Residential Property Values," Journal of Urban Economics, Elsevier, vol. 50(1), pages 1-25, July.
    11. Vandenbulcke, Grégory & Dujardin, Claire & Thomas, Isabelle & Geus, Bas de & Degraeuwe, Bart & Meeusen, Romain & Panis, Luc Int, 2011. "Cycle commuting in Belgium: Spatial determinants and 're-cycling' strategies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(2), pages 118-137, February.
    12. Yung-Hsiang Cheng, 2010. "Exploring passenger anxiety associated with train travel," Transportation, Springer, vol. 37(6), pages 875-896, November.
    13. Pucher, John & Buehler, Ralph & Seinen, Mark, 2011. "Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(6), pages 451-475, July.
    14. Nankervis, Max, 1999. "The effect of weather and climate on bicycle commuting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(6), pages 417-431, August.
    15. 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.
    16. Rietveld, Piet & Daniel, Vanessa, 2004. "Determinants of bicycle use: do municipal policies matter?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(7), pages 531-550, August.
    17. Börjesson, Maria & Eliasson, Jonas, 2012. "The value of time and external benefits in bicycle appraisal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 673-683.
    18. Poudenx, Pascal, 2008. "The effect of transportation policies on energy consumption and greenhouse gas emission from urban passenger transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(6), pages 901-909, July.
    19. 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.
    20. David Andrich, 1978. "A rating formulation for ordered response categories," Psychometrika, Springer;The Psychometric Society, vol. 43(4), pages 561-573, December.
    21. Jeroen C.J.M. van den Bergh (ed.), 1999. "Handbook of Environmental and Resource Economics," Books, Edward Elgar Publishing, number 801.
    22. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. José I. Castillo-Manzano & Mercedes Castro-Nuño & Lourdes Lopez-Valpuesta, 2015. "The relationship between public and private bicycle use: the case of Seville," ERSA conference papers ersa15p206, European Regional Science Association.
    3. Wu, Liyu & Gu, Weihua & Fan, Wenbo & Cassidy, Michael J., 2020. "Optimal design of transit networks fed by shared bikes," Transportation Research Part B: Methodological, Elsevier, vol. 131(C), pages 63-83.
    4. Yanjie Ji & Xinwei Ma & Mingyuan Yang & Yuchuan Jin & Liangpeng Gao, 2018. "Exploring Spatially Varying Influences on Metro-Bikeshare Transfer: A Geographically Weighted Poisson Regression Approach," Sustainability, MDPI, vol. 10(5), pages 1-23, May.
    5. Cheng, Yung-Hsiang & Tseng, Wei-Chih, 2016. "Exploring the effects of perceived values, free bus transfer, and penalties on intermodal metro–bus transfer users' intention," Transport Policy, Elsevier, vol. 47(C), pages 127-138.
    6. Lee, Misuk & Choi, Hyunhong & Koo, Yoonmo, 2017. "Inconvenience cost of waste disposal behavior in South Korea," Ecological Economics, Elsevier, vol. 140(C), pages 58-65.
    7. Xinwei Ma & Yanjie Ji & Yuchuan Jin & Jianbiao Wang & Mingjia He, 2018. "Modeling the Factors Influencing the Activity Spaces of Bikeshare around Metro Stations: A Spatial Regression Model," Sustainability, MDPI, vol. 10(11), pages 1-12, October.
    8. Ma, Xinwei & Ji, Yanjie & Yang, Mingyuan & Jin, Yuchuan & Tan, Xu, 2018. "Understanding bikeshare mode as a feeder to metro by isolating metro-bikeshare transfers from smart card data," Transport Policy, Elsevier, vol. 71(C), pages 57-69.
    9. Yang Liu & Yanjie Ji & Tao Feng & Zhuangbin Shi, 2020. "Use Frequency of Metro–Bikeshare Integration: Evidence from Nanjing, China," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
    10. Ying Ni & Jiaqi Chen, 2020. "Exploring the Effects of the Built Environment on Two Transfer Modes for Metros: Dockless Bike Sharing and Taxis," Sustainability, MDPI, vol. 12(5), pages 1-20, March.
    11. Muñoz, Begoña & Monzon, Andres & López, Elena, 2016. "Transition to a cyclable city: Latent variables affecting bicycle commuting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 84(C), pages 4-17.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pucher, John & Buehler, Ralph & Seinen, Mark, 2011. "Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(6), pages 451-475, July.
    2. 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.
    3. Lanzendorf, Martin & Busch-Geertsema, Annika, 2014. "The cycling boom in large German cities—Empirical evidence for successful cycling campaigns," Transport Policy, Elsevier, vol. 36(C), pages 26-33.
    4. Ruiz, Tomás & Bernabé, José C., 2014. "Measuring factors influencing valuation of nonmotorized improvement measures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 195-211.
    5. Yung-Hsiang Cheng, 2010. "Exploring passenger anxiety associated with train travel," Transportation, Springer, vol. 37(6), pages 875-896, November.
    6. Ralph Buehler & John Pucher, 2012. "Cycling to work in 90 large American cities: new evidence on the role of bike paths and lanes," Transportation, Springer, vol. 39(2), pages 409-432, March.
    7. Paraskevi Karanikola & Thomas Panagopoulos & Stilianos Tampakis & Georgios Tsantopoulos, 2018. "Cycling as a Smart and Green Mode of Transport in Small Touristic Cities," Sustainability, MDPI, vol. 10(1), pages 1-18, January.
    8. Rahat Sabyrbekov & Indra Overland, 2020. "Why Choose to Cycle in a Low-Income Country?," Sustainability, MDPI, vol. 12(18), pages 1-14, September.
    9. Downward, Paul & Rasciute, Simona, 2015. "Assessing the impact of the National Cycle Network and physical activity lifestyle on cycling behaviour in England," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 425-437.
    10. Vandenbulcke, Grégory & Dujardin, Claire & Thomas, Isabelle & Geus, Bas de & Degraeuwe, Bart & Meeusen, Romain & Panis, Luc Int, 2011. "Cycle commuting in Belgium: Spatial determinants and 're-cycling' strategies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(2), pages 118-137, February.
    11. Verma, Meghna & Rahul, T.M. & Reddy, Peesari Vamshidhar & Verma, Ashish, 2016. "The factors influencing bicycling in the Bangalore city," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 29-40.
    12. Weliwitiya, Hesara & Rose, Geoffrey & Johnson, Marilyn, 2019. "Bicycle train intermodality: Effects of demography, station characteristics and the built environment," Journal of Transport Geography, Elsevier, vol. 74(C), pages 395-404.
    13. An, Ran & Zahnow, Renee & Pojani, Dorina & Corcoran, Jonathan, 2019. "Weather and cycling in New York: The case of Citibike," Journal of Transport Geography, Elsevier, vol. 77(C), pages 97-112.
    14. Mahdi Rashidi & Seyed-Mohammad Seyedhosseini & Ali Naderan, 2023. "Defining Psychological Factors of Cycling in Tehran City," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    15. Seungkyu Ryu, 2020. "A Bicycle Origin–Destination Matrix Estimation Based on a Two-Stage Procedure," Sustainability, MDPI, vol. 12(7), pages 1-14, April.
    16. Chatterjee, Kiron & Sherwin, Henrietta & Jain, Juliet, 2013. "Triggers for changes in cycling: the role of life events and modifications to the external environment," Journal of Transport Geography, Elsevier, vol. 30(C), pages 183-193.
    17. Joeri F. P. Mil & Tessa S. Leferink & Jan Anne Annema & Niels Oort, 2021. "Insights into factors affecting the combined bicycle-transit mode," Public Transport, Springer, vol. 13(3), pages 649-673, October.
    18. Zhao, Pengjun & Li, Shengxiao, 2017. "Bicycle-metro integration in a growing city: The determinants of cycling as a transfer mode in metro station areas in Beijing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 46-60.
    19. Álvaro Fernández-Heredia & Sergio Jara-Díaz & Andrés Monzón, 2016. "Modelling bicycle use intention: the role of perceptions," Transportation, Springer, vol. 43(1), pages 1-23, January.
    20. Álvaro Fernández-Heredia & Sergio Jara-Díaz & Andrés Monzón, 2016. "Modelling bicycle use intention: the role of perceptions," Transportation, Springer, vol. 43(1), pages 1-23, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:46:y:2012:i:10:p:1690-1706. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.