Interdependence in active mobility adoption: Joint modelling and
motivational spill-over in walking, cycling and bike-sharing
- URL: http://arxiv.org/abs/2006.16920v2
- Date: Thu, 29 Oct 2020 19:14:12 GMT
- Title: Interdependence in active mobility adoption: Joint modelling and
motivational spill-over in walking, cycling and bike-sharing
- Authors: M Said, A Biehl, A Stathopoulos
- Abstract summary: The purpose of this study is to investigate the adoption of three active travel modes; namely walking, cycling and bikesharing.
The analysis is based on an adaptation of the stages of change framework, which originates from the health behavior sciences.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Active mobility offers an array of physical, emotional, and social wellbeing
benefits. However, with the proliferation of the sharing economy, new
nonmotorized means of transport are entering the fold, complementing some
existing mobility options while competing with others. The purpose of this
research study is to investigate the adoption of three active travel modes;
namely walking, cycling and bikesharing, in a joint modeling framework. The
analysis is based on an adaptation of the stages of change framework, which
originates from the health behavior sciences. Multivariate ordered probit
modeling drawing on U.S. survey data provides well-needed insights into
individuals preparedness to adopt multiple active modes as a function of
personal, neighborhood and psychosocial factors. The research suggests three
important findings. 1) The joint model structure confirms interdependence among
different active mobility choices. The strongest complementarity is found for
walking and cycling adoption. 2) Each mode has a distinctive adoption path with
either three or four separate stages. We discuss the implications of derived
stage-thresholds and plot adoption contours for selected scenarios. 3)
Psychological and neighborhood variables generate more coupling among active
modes than individual and household factors. Specifically, identifying strongly
with active mobility aspirations, experiences with multimodal travel,
possessing better navigational skills, along with supportive local community
norms are the factors that appear to drive the joint adoption decisions. This
study contributes to the understanding of how decisions within the same
functional domain are related and help to design policies that promote active
mobility by identifying positive spillovers and joint determinants.
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