IDEAS home Printed from https://ideas.repec.org/p/cdl/uctcwp/qt5zr22745.html
   My bibliography  Save this paper

Presenting Accessibility to Mobility-Impaired Travelers

Author

Listed:
  • Nuernberger, Andrea

Abstract

People with mobility impairments, especially those using wheelchairs, depend on accessibility information for successful travel planning. Mainstream travel information sources, however, do not sufficiently provide this. With the goal of working towards a standard for presenting access-specific information, this dissertation explores the question “How do wheelchair users utilize accessibility information during trip planning, and which information sources are most valuable to them?" To answer this and develop a theoretical framework, two methodologies are applied: an online survey and a human subjects experiment. For the online survey, intermediary agencies were contacted nation-wide and convenience sampling obtained through networking. During the experiment, twenty wheelchair users from the local community evaluated route accessibility based on supplementary access information provided prior to travel. Access information about potential barriers was provided using map symbols, digital photographs, or phone assistance from an access consultant. In addition to evaluating routes, participants traveled the routes, completed introductory and exit interviews, and answered two questionnaires. Variables measured during the experiment included subjects’ confidence ratings, number of information items accessed, time spend on evaluating routes, and perceived helpfulness of information items. Both the survey and experiment indicate that wheelchair users experience a lack of access-specific information sources; however, they also suggest that wheelchair users’ unfamiliarity with quantitative access measures might impede successful information acquisition from high-quality sources. The survey shows there is an unmet demand for contacts with other wheelchair users prior to travel and that maps with accessible routes are perceived as most helpful. Women in general, especially those leaving their homes infrequently, appear to require more access-specific information during route planning. The experiment shows that accessibility information provided prior to traveling unfamiliar routes improves wheelchair users’ confidence in traveling safely, and strongly suggests that lack of high-quality information sources negatively affects information expectations and acquisition skills. Pre-task interviews during the experiment indicate that participants primarily acquire accessibility information over the phone. When presented with printed materials, however, they prefer pictorial information sources to phone assistance. Distinctive findings for participants with cerebral palsy, expanding features of the theoretical framework, and recommendations for the publication of accessibility information are discussed.

Suggested Citation

  • Nuernberger, Andrea, 2008. "Presenting Accessibility to Mobility-Impaired Travelers," University of California Transportation Center, Working Papers qt5zr22745, University of California Transportation Center.
  • Handle: RePEc:cdl:uctcwp:qt5zr22745
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/5zr22745.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Westbrook, Mary T. & Legge, Varoe & Pennay, Mark, 1993. "Attitudes towards disabilities in a multicultural society," Social Science & Medicine, Elsevier, vol. 36(5), pages 615-623, March.
    2. Shomik Mehndiratta & Michael Kemp & Sean Pierce & Jane Lappin, 2000. "Users of a regional telephone-based traveler information system – a study of TravInfo™ users in the San Francisco Bay Area," Transportation, Springer, vol. 27(4), pages 391-417, December.
    3. Lim, Jeen-Su & Kim, John, 1992. "Impact of consumers' confidence in judgements about missing information on product evaluations," Journal of Business Research, Elsevier, vol. 25(3), pages 215-229, November.
    4. Marston, James R, 2002. "Towards an Accessible City: Empirical Measurement and Modeling of Access to Urban Opportunities for those with Vision Impairments, Using Remote Infrared Audible Signage," University of California Transportation Center, Working Papers qt9df5b5ts, University of California Transportation Center.
    5. Martine Selm & Nicholas Jankowski, 2006. "Conducting Online Surveys," Quality & Quantity: International Journal of Methodology, Springer, vol. 40(3), pages 435-456, June.
    6. Carol C. Kuhlthau, 1991. "Inside the search process: Information seeking from the user's perspective," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 42(5), pages 361-371, June.
    7. Adam Sobek & Harvey Miller, 2006. "U-Access: a web-based system for routing pedestrians of differing abilities," Journal of Geographical Systems, Springer, vol. 8(3), pages 269-287, September.
    8. Schaninger, Charles M & Sciglimpaglia, Donald, 1981. "The Influence of Cognitive Personality Traits and Demographics on Consumer Information Acquisition," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(2), pages 208-216, September.
    9. Gärling, Tommy & Kwan, Mei-Po & Golledge, Reginald G., 1994. "Computational-process modelling of household activity scheduling," Transportation Research Part B: Methodological, Elsevier, vol. 28(5), pages 355-364, October.
    10. Jacoby, Jacob, et al, 1994. "Tracing the Impact of Item-by-Item Information Accessing on Uncertainty Reduction," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(2), pages 291-303, September.
    11. Stone, Dan N. & Schkade, David A., 1991. "Numeric and linguistic information representation in multiattribute choice," Organizational Behavior and Human Decision Processes, Elsevier, vol. 49(1), pages 42-59, June.
    12. Fennema, M. G. & Kleinmuntz, Don N., 1995. "Anticipations of Effort and Accuracy in Multiattribute Choice," Organizational Behavior and Human Decision Processes, Elsevier, vol. 63(1), pages 21-32, July.
    13. Goldstein,William M. & Hogarth,Robin M. (ed.), 1997. "Research on Judgment and Decision Making," Cambridge Books, Cambridge University Press, number 9780521483346, October.
    Full references (including those not matched with items on IDEAS)

    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. Lior Fink & Daniele Papismedov, 2023. "On the Same Page? What Users Benefit from a Desktop View on Mobile Devices," Information Systems Research, INFORMS, vol. 34(2), pages 423-441, June.
    2. Andreas Glöckner, 2009. "Investigating intuitive and deliberate processes statistically: The multiple-measure maximum likelihood strategy classification method," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 4(3), pages 186-199, April.
    3. Kevin Wong & Geoff Walton & Gavin Bailey, 2021. "Using information science to enhance educational preventing violent extremism programs," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(3), pages 362-376, March.
    4. Morenike Oluwatoyin Folayan & Roberto Ariel Abeldaño Zuniga & Oliver C. Ezechi & Brandon Brown & Annie L. Nguyen & Nourhan M. Aly & Passent Ellakany & Ifeoma E. Idigbe & Abeedha Tu-Allah Khan & Folake, 2022. "Associations between Emotional Distress, Sleep Changes, Decreased Tooth Brushing Frequency, Self-Reported Oral Ulcers and SARS-Cov-2 Infection during the First Wave of the COVID-19 Pandemic: A Global ," IJERPH, MDPI, vol. 19(18), pages 1-11, September.
    5. Shannon Davis & Andrey Shevchuk & Denis Strebkov, 2014. "Pathways to Satisfaction with Work-Life Balance: The Case of Russian-Language Internet Freelancers," Journal of Family and Economic Issues, Springer, vol. 35(4), pages 542-556, December.
    6. McKenzie, Craig R.M. & Liersch, Michael J. & Yaniv, Ilan, 2008. "Overconfidence in interval estimates: What does expertise buy you?," Organizational Behavior and Human Decision Processes, Elsevier, vol. 107(2), pages 179-191, November.
    7. Vicente Gea-Caballero & José Ramón Martínez-Riera & Pedro García-Martínez & Jorge Casaña-Mohedo & Isabel Antón-Solanas & María Virtudes Verdeguer-Gómez & Iván Santolaya-Arnedo & Raúl Juárez-Vela, 2021. "Study of the Strengths and Weaknesses of Nursing Work Environments in Primary Care in Spain," IJERPH, MDPI, vol. 18(2), pages 1-12, January.
    8. Vishal Narayan & Vithala R. Rao & Carolyne Saunders, 2011. "How Peer Influence Affects Attribute Preferences: A Bayesian Updating Mechanism," Marketing Science, INFORMS, vol. 30(2), pages 368-384, 03-04.
    9. Vendrell-Herrero, Ferran & Bustinza, Oscar F. & Opazo-Basaez, Marco, 2021. "Information technologies and product-service innovation: The moderating role of service R&D team structure," Journal of Business Research, Elsevier, vol. 128(C), pages 673-687.
    10. Arentze, Theo & Timmermans, Harry, 2007. "Parametric action decision trees: Incorporating continuous attribute variables into rule-based models of discrete choice," Transportation Research Part B: Methodological, Elsevier, vol. 41(7), pages 772-783, August.
    11. Nina Horstmann & Andrea Ahlgrimm & Andreas Glöckner, 2009. "How Distinct are Intuition and Deliberation? An Eye-Tracking Analysis of Instruction-Induced Decision Modes," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2009_10, Max Planck Institute for Research on Collective Goods.
    12. Chu, P. C. & Spires, Eric E. & Sueyoshi, Toshiyuki, 1999. "Cross-Cultural Differences in Choice Behavior and Use of Decision Aids: A Comparison of Japan and the United States," Organizational Behavior and Human Decision Processes, Elsevier, vol. 77(2), pages 147-170, February.
    13. Zhu, Yimin & Zhang, Jiemin & Wu, Jifei & Liu, Yingyue, 2022. "AI is better when I'm sure: The influence of certainty of needs on consumers' acceptance of AI chatbots," Journal of Business Research, Elsevier, vol. 150(C), pages 642-652.
    14. Amin Mobasheri & Yeran Sun & Lukas Loos & Ahmed Loai Ali, 2017. "Are Crowdsourced Datasets Suitable for Specialized Routing Services? Case Study of OpenStreetMap for Routing of People with Limited Mobility," Sustainability, MDPI, vol. 9(6), pages 1-17, June.
    15. Paul Clay Sorum & Thomas R. Stewart & Etienne Mullet & Claudia González-Vallejo & Junseop Shim & Gérard Chasseigne & María Teresa Muñoz Sastre & Bernard Grenier, 2002. "Does Choosing a Treatment Depend on Making a Diagnosis? US and French Physicians’ Decision Making about Acute Otitis Media," Medical Decision Making, , vol. 22(5), pages 394-402, October.
    16. Beckman, Richard J. & Baggerly, Keith A. & McKay, Michael D., 1996. "Creating synthetic baseline populations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(6), pages 415-429, November.
    17. Charles F. Manski, 2018. "Reasonable patient care under uncertainty," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1397-1421, October.
    18. Momi Dahan & Tehila Kogut & Moshe Shalem, 2009. "Do Economic Policymakers Practice what they Preach? The Case of Pension Decisions," CESifo Working Paper Series 2783, CESifo.
    19. Robin M. Hogarth & Natalia Karelaia, 2006. "Regions of Rationality: Maps for Bounded Agents," Decision Analysis, INFORMS, vol. 3(3), pages 124-144, September.
    20. Zhang, Yin & Lu, Baozhou & Zheng, Haidong, 2020. "Can buzzing bring business? Social interactions, network centrality and sales performance: An empirical study on business-to-business communities," Journal of Business Research, Elsevier, vol. 112(C), pages 170-189.

    More about this item

    Statistics

    Access and download statistics

    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:cdl:uctcwp:qt5zr22745. 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: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucbus.html .

    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.