Despite much enthusiasm among practitioners to spur rates of bicycle commuting via promotional measures such as community rides or commuter incentive programs, there is little research regarding their impact. Using data from one such event, Bike-to-Work Day (BTWD), this paper aims to understand the following: (1) who attends BTWD; (2) the impacts of these event-based promotional strategies across different groups; and (3) lessons for increasing commuter cycling in general. The authors assess these research questions by examining motives to participate, behavior change, and influences of the event using over 1,000 surveys collected in the Denver region. Using an ordered logit model, the authors then identify significant factors for grouping cyclists' by behavior category. The results suggest that event attendees vary widely, from those who only bicycle on BTWD to those who report year-round bicycling, while reasons for participation and impacts of participation vary across bicycling behavior groups. This research also identifies specific barriers to increased commuter cycling. While the long-term impact of such events remains uncertain, this research illustrates that BTWD has the unique ability to capture a wide range of bicyclists and provide insights into barriers impacting diverse cycling populations. individual papers. This paper is part of the Journal of Urban Planning and Development, © ASCE, ISSN 0733-9488/04014034 (9)/$25.00. © ASCE 04014034-1 J. Urban Plann. Dev. J. Urban Plann. Dev. Downloaded from ascelibrary.org by Auraria Libr-Ess 048827825 on 08/26/14. Copyright ASCE. For personal use only; all rights reserved. © ASCE 04014034-2 J. Urban Plann. Dev. J. Urban Plann. Dev. Downloaded from ascelibrary.org by Auraria Libr-Ess 048827825 on 08/26/14. Copyright ASCE. For personal use only; all rights reserved. © ASCE 04014034-4 J. Urban Plann. Dev. J. Urban Plann. Dev. Downloaded from ascelibrary.org by Auraria Libr-Ess 048827825 on 08/26/14. Copyright ASCE. For personal use only; all rights reserved. © ASCE 04014034-6 J. Urban Plann. Dev. J. Urban Plann. Dev. Downloaded from ascelibrary.org by Auraria Libr-Ess 048827825 on 08/26/14. Copyright ASCE. For personal use only; all rights reserved. © ASCE 04014034-7 J. Urban Plann. Dev. J. Urban Plann. Dev. Downloaded from ascelibrary.org by Auraria Libr-Ess 048827825 on 08/26/14. Copyright ASCE. For personal use only; all rights reserved. © ASCE 04014034-9 J. Urban Plann. Dev. J. Urban Plann. Dev. Downloaded from ascelibrary.org by Auraria Libr-Ess 048827825 on 08/26/14.
Transportation resiliency is the ability for a transportation system to maintain or return to a previous level of service after a disruptive event. Among many methods to assess resiliency, quality and quantity of mode choice have shown to be promising. The provision of multiple transportation options helps facilitate resiliency by relieving the transportation system stress that tends to occur in many situations when only one modal option is available. This research seeks to understand how the availability of environmentally friendly transportation modal options-bicycling, walking, and transit-contribute to resiliency as caused by an abrupt doubling of gas price. By creating a multinomial logistic regression mode choice model for Denver, Colorado, we are able to measure the resiliency value of various multimodal transportation infrastructures, even if few people are using those facilities today. Results of this study suggest three paths to resiliency: higher income, proximity to downtown, and the availability of transportation options. There is a cumulative effect in these results as well; for instance, low-income, suburban areas tend to spend more of their household budget on transportation than urban, higher-income areas, thus increasing their vulnerability. Through this analysis, we also investigate how this resiliency scenario affects geographically and demographically diverse areas in Denver, as well as how investments in more environmentally sustainable modes of transportation can support more resilient communities.
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