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• 1. [Article] Can Protected Bike Lanes Help Close the Gender Gap in Cycling? Lessons from Five Cities

  Even in areas with increased levels of bicycling, there remains a significant “gender gap” in bicycling in the United States, in contrast to many other countries with high rates of bicycling. The primary ...

  Citation × Citation Citation Abstract Copy Title: Can Protected Bike Lanes Help Close the Gender Gap in Cycling? Lessons from Five Cities Author: Dill, Jennifer, Goddard, Tara, Monsere, Christopher, McNeil, Nathan Year: 2014 Even in areas with increased levels of bicycling, there remains a significant “gender gap” in bicycling in the United States, in contrast to many other countries with high rates of bicycling. The primary objective of this paper was to explore whether protected bike lanes could help reduce the gender gap. To do so, the authors used survey data from a comprehensive evaluation of protected bike lanes in five large U.S. cities (Austin, TX, Chicago, IL, Portland, OR, San Francisco, CA, and Washington, DC) that included survey responses of 1,111 intercepted bicyclists and 2,283 residents. Both men and women overwhelmingly felt that the lanes increased their safety while riding in them. On several measures of safety and comfort, women bicyclists using the lanes did have significantly more positive associations with the protected lanes than men. A survey of residents, which included people who do and do not bicycle, revealed that women generally feel less comfortable than men bicycling on roadways, though the addition of some physical separation to a striped bike lane, does increase stated levels of comfort to a level that might increase rates of bicycling. Overall, women were also more likely to indicate that the new protected lane had increased their overall levels of bicycling. Analysis of the demographics of the intercepted bicyclists revealed differences between men and women that point to the challenge of increasing women’s rates of bicycling, primarily that the women intercepted bicycling were much less likely than men to have children. Title: Can Protected Bike Lanes Help Close the Gender Gap in Cycling? Lessons from Five Cities Author: Dill, Jennifer, Goddard, Tara, Monsere, Christopher, McNeil, Nathan Year: 2014 Even in areas with increased levels of bicycling, there remains a significant “gender gap” in bicycling in the United States, in contrast to many other countries with high rates of bicycling. The primary objective of this paper was to explore whether protected bike lanes could help reduce the gender gap. To do so, the authors used survey data from a comprehensive evaluation of protected bike lanes in five large U.S. cities (Austin, TX, Chicago, IL, Portland, OR, San Francisco, CA, and Washington, DC) that included survey responses of 1,111 intercepted bicyclists and 2,283 residents. Both men and women overwhelmingly felt that the lanes increased their safety while riding in them. On several measures of safety and comfort, women bicyclists using the lanes did have significantly more positive associations with the protected lanes than men. A survey of residents, which included people who do and do not bicycle, revealed that women generally feel less comfortable than men bicycling on roadways, though the addition of some physical separation to a striped bike lane, does increase stated levels of comfort to a level that might increase rates of bicycling. Overall, women were also more likely to indicate that the new protected lane had increased their overall levels of bicycling. Analysis of the demographics of the intercepted bicyclists revealed differences between men and women that point to the challenge of increasing women’s rates of bicycling, primarily that the women intercepted bicycling were much less likely than men to have children. Close

• 2. [Article] The Cycling Gender Gap: What Can We Learn From Girls?

  In the U.S., women are far less likely to bicycle for transportation than men. Explanations include, among others, safety concerns (traffic and crime), complex travel patterns related to household responsibilities, ...

  Citation × Citation Citation Abstract Copy Title: The Cycling Gender Gap: What Can We Learn From Girls? Author: Dill, Jennifer Year: 2016 In the U.S., women are far less likely to bicycle for transportation than men. Explanations include, among others, safety concerns (traffic and crime), complex travel patterns related to household responsibilities, time constraints, lack of facilities that feel safe, and attitudes. This talk will explore how this gender gap emerges in childhood, using data from the Family Activity Study. The study collected data from 300 Portland families (parents and children) over two years, allowing us to see how things change over time. Title: The Cycling Gender Gap: What Can We Learn From Girls? Author: Dill, Jennifer Year: 2016 In the U.S., women are far less likely to bicycle for transportation than men. Explanations include, among others, safety concerns (traffic and crime), complex travel patterns related to household responsibilities, time constraints, lack of facilities that feel safe, and attitudes. This talk will explore how this gender gap emerges in childhood, using data from the Family Activity Study. The study collected data from 300 Portland families (parents and children) over two years, allowing us to see how things change over time. Close

• 3. [Article] Development of a Multi-Class Bicyclist Route Choice Model Using Revealed Preference Data

  Existing regional travel forecasting systems are not typically set up to forecast usage of bicycle infrastructure and are insensitive to bicyclists' route preferences in general. We collected revealed ...

  Citation × Citation Citation Abstract Copy Title: Development of a Multi-Class Bicyclist Route Choice Model Using Revealed Preference Data Author: Broach, Joseph, Gliebe, John, Dill, Jennifer Year: 2009 Existing regional travel forecasting systems are not typically set up to forecast usage of bicycle infrastructure and are insensitive to bicyclists' route preferences in general. We collected revealed preference, GPS data on 162 bicyclists over the course of several days and coded the resulting trips to a highly detailed bicycle network model. We then use these data to estimate bicyclist route choice models. As part of this research, we developed a sophisticated choice set generation algorithm based on multiple permutations of labeled path attributes, which seems to out-perform comparable implementations of other route choice set generation algorithms. The model was formulated as a Path-Size Logit model to account for overlapping route alternatives. The estimation results show compelling intuitive elasticities for route choice attributes, including the effects of distance and delay; avoiding high-volumes of vehicular traffic, stops and turns, and elevation gain; and preferences for certain bike infrastructure types, particularly at bridge crossings and off-street paths. Estimation results also support segmentation by commute versus non-commute trip types, but are less clear when it comes to gender. The final model will be implemented as part of the regional travel forecasting system for Portland, Oregon, U.S.A. Title: Development of a Multi-Class Bicyclist Route Choice Model Using Revealed Preference Data Author: Broach, Joseph, Gliebe, John, Dill, Jennifer Year: 2009 Existing regional travel forecasting systems are not typically set up to forecast usage of bicycle infrastructure and are insensitive to bicyclists' route preferences in general. We collected revealed preference, GPS data on 162 bicyclists over the course of several days and coded the resulting trips to a highly detailed bicycle network model. We then use these data to estimate bicyclist route choice models. As part of this research, we developed a sophisticated choice set generation algorithm based on multiple permutations of labeled path attributes, which seems to out-perform comparable implementations of other route choice set generation algorithms. The model was formulated as a Path-Size Logit model to account for overlapping route alternatives. The estimation results show compelling intuitive elasticities for route choice attributes, including the effects of distance and delay; avoiding high-volumes of vehicular traffic, stops and turns, and elevation gain; and preferences for certain bike infrastructure types, particularly at bridge crossings and off-street paths. Estimation results also support segmentation by commute versus non-commute trip types, but are less clear when it comes to gender. The final model will be implemented as part of the regional travel forecasting system for Portland, Oregon, U.S.A. Close