How can psychological theory help cities increase walking and bicycling?

Dill, J.; Mohr, C.; Ma, L., 2014, in Journal of the American Planning Association

doi:10.1080/01944363.2014.934651
Location Portland, OR
Population General
Sample size 1159
Factor analysis type confirmatory factor analysis, nan rotation
Stepwise regression no
Removal of insignificant variables yes
Reviewed by DS

Abstract

Problem, research strategy, and findings: Planners need a clear understanding of what influences walking and bicycling behavior to develop effective strategies to increase use of those modes. Transportation practitioners have largely focused on infrastructure and the built environment, although researchers have found that attitudes are also very important. The theory of planned behavior (TPB) suggests that behavior such as active transportation results from a mixture of personal attitudes toward these modes, subjective norms, and a person's perceived behavioral control, giving us a way to conceptualize psychological factors that influence travel behavior. Using data from a random phone survey of three neighborhoods in Portland (OR), we test whether TPB explains the possible causal relationships among the built environment, socio-demographics, and active transportation. We find that both the built environment and demographics influence cycling and walking, although indirectly, by influencing attitudes and perceived behavioral control. Moreover, it is important to look at bicycle-specific infrastructure separately from other environmental characteristics. For example, relatively flat neighborhoods with well-connected, low-traffic streets and multiple destinations were associated with more frequent bicycling, but striped bike lanes were not.Takeaway for practice: Practitioners cannot rely solely on changing the environment to increase bicycling. Programs such as public events and individualized marketing that influence attitudes may be necessary to reinforce positive environmental features. This is particularly true for women and older adults. Moreover, adding bike lanes to an otherwise poor bicycling environment may not increase bicycling in any significant way. © 2014 © American Planning Association, Chicago, IL.

Factors

Models

Source variable Target variable Effect p-value Effect type
Age Walk trips -0.13 <0.05 direct_effect
Age Attitude (walking) -0.23 <0.05 direct_effect
Age Social norms (walking) -0.24 <0.05 direct_effect
Age Perceived behavioral control (walking) -0.18 <0.05 direct_effect
Education Attitude (walking) 0.17 <0.05 direct_effect
Education Social norms (walking) 0.31 <0.05 direct_effect
Education Perceived behavioral control (walking) 0.14 <0.05 direct_effect
Vehicle Attitude (walking) -0.08 <0.05 direct_effect
Vehicle Perceived behavioral control (walking) -0.13 <0.05 direct_effect
Female Walk trips -0.07 <0.05 direct_effect
Walkable Environment Attitude (walking) 0.19 <0.05 direct_effect
Walkable Environment Social norms (walking) 0.23 <0.05 direct_effect
Walkable Environment Perceived behavioral control (walking) 0.35 <0.05 direct_effect
Attitude (walking) Walk trips 0.15 <0.05 direct_effect
Perceived behavioral control (walking) Walk trips 0.5 <0.05 direct_effect
Source variable Target variable Effect p-value Effect type
Age Bike trips -0.06 <0.05 direct_effect
Age Attitude (bicycling) -0.41 <0.05 direct_effect
Age Social norms (bicycling) -0.45 <0.05 direct_effect
Age Perceived Behavioral Control (bicycling) -0.3 <0.05 direct_effect
Education Attitude (bicycling) 0.16 <0.05 direct_effect
Education Social norms (bicycling) 0.21 <0.05 direct_effect
Education Perceived Behavioral Control (bicycling) 0.15 <0.05 direct_effect
Vehicle Perceived Behavioral Control (bicycling) -0.15 <0.05 direct_effect
Female Attitude (bicycling) -0.23 <0.05 direct_effect
Female Social norms (bicycling) -0.17 <0.05 direct_effect
Female Bike trips -0.05 <0.05 direct_effect
Female Perceived Behavioral Control (bicycling) -0.19 <0.05 direct_effect
Bikable Environment Attitude (bicycling) 0.15 <0.05 direct_effect
Bikable Environment Social norms (bicycling) 0.14 <0.05 direct_effect
Bikable Environment Perceived Behavioral Control (bicycling) 0.34 <0.05 direct_effect
Bikable Environment Bike trips 0.06 <0.05 direct_effect
Attitude (bicycling) Bike trips 0.56 <0.05 direct_effect
Perceived Behavioral Control (bicycling) Bike trips 0.34 <0.05 direct_effect

The Attitudes and Travel Database is produced with support from the Center for Teaching Old Models New Tricks at Arizona State University, a University Transportation Center sponsored by the US Department of Transportation through Grant No. 69A3551747116.

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