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Federal Highway Administration Research and Technology
Coordinating, Developing, and Delivering Highway Transportation Innovations

 
SUMMARY REPORT
This summary report is an archived publication and may contain dated technical, contact, and link information
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Publication Number:  FHWA-HRT-15-015    Date:  June 2015
Publication Number: FHWA-HRT-15-015
Date: June 2015

 

The Exploratory Advanced Research Program

The Impact of Automated Transit, Pedestrian, and Bicycling Facilities on Urban Travel Patterns Summary Report

References

  1. Weinstein Agrawal, A., Schlossberg, M., & Irvin, K. (2008). How far, by which route and why? A spatial analysis of pedestrian preference. Journal of Urban Design, 13(1), 81–98.

  2. Buehler, R., & Pucher, J. (2011). Cycling to work in 90 large American cities: New evidence on the role of bike paths and lanes. Transportation, 39(2), 409–432.

  3. Pucher, J., Dill, J., & Handy, S. (2010).Infrastructure, programs and policies to increase bicycling: An international review. Preventive Medicine, 50(51), S106–S125.

  4. Barnes, G., Thompson, K., & Krizek, K. (2006). A longitudinal analysis of the effect of bicycle facilities on commute mode share. Presentation, Transportation Research Board’s 85th Annual Meeting. http://www.hhh.umn.edu/img/assets/20163/effect_bike_facilities_mode_share_krizek.pdf. Retrieved April 18, 2014.

  5. Estupiñán, N., & Rodríquez, D. (2008). The relationship between urban form and station boardings for Bogotá’s BRT. Transportation Research Part A: Policy and Practice, 42(2), 296–306. http://www.sciencedirect.com/science/article/pii/S0965856407000870. Retrieved April 18, 2014.

  6. Rodríquez, D., Brisson, E. M., & Estupiñán, N. (2009). The relationship between segment-level built environment attributes and pedestrian activity around Bogotá’s BRT stations. Transportation Research Part D: Transport and Environment, 14(7), 470–478. http://www.sciencedirect.com/science/article/pii/S136192090900087X. Retrieved April 18, 2014.

  7. University of California at Berkeley. (2014). Computer-assisted survey methods program. Computer-Assisted Survey Execution System, “CASES.” Retrieved April 18, 2014, from http://cases.berkeley.edu/software.html.

About The EAR Program

Federal legislation establishes an Exploratory Advanced Research (EAR) Program to address longer-term, higher-risk, breakthrough research with the potential for dramatic long-term improvements to transportation systems—improvements in planning, building, renewing, and operating safe, congestion-free, and environmentally sound transportation facilities. The Federal Highway Administration’s (FHWA) EAR Program secures broad scientific participation and extensive coverage of advanced ideas and new technologies through stakeholder engagement, topic identification, and sponsored research.

For more information, please visit the program Web site at https://www.fhwa.dot.gov/advancedresearch/index.cfm.

Office of Operations Research and Development
Turner-Fairbank Highway Research Center
6300 Georgetown Pike
McLean, VA 22101-2296

Publication No. FHWA-HRT-15-015
HRTM-30/06-15(WEB)E

 

 

Federal Highway Administration | 1200 New Jersey Avenue, SE | Washington, DC 20590 | 202-366-4000
Turner-Fairbank Highway Research Center | 6300 Georgetown Pike | McLean, VA | 22101