The power of the neighborhood: Perceived normative behaviors moderate individual predictors of walking and biking to school

2021 ◽  
Vol 22 ◽  
pp. 101236
Author(s):  
Allison Ross ◽  
Kylie Wilson
Keyword(s):  
2015 ◽  
Vol 72 ◽  
pp. 70-75 ◽  
Author(s):  
Lauren N. Gase ◽  
Noel C. Barragan ◽  
Paul A. Simon ◽  
Richard J. Jackson ◽  
Tony Kuo

2012 ◽  
Vol 15 ◽  
pp. S208-S209
Author(s):  
L. Christiansen ◽  
M. Toftager ◽  
B. Linke ◽  
A. Ersbøll ◽  
J. Troelsen

2017 ◽  
Vol 177 (5) ◽  
pp. 613 ◽  
Author(s):  
Janette Sadik-Khan ◽  
Seth Solomonow

2003 ◽  
Vol 93 (9) ◽  
pp. 1431-1434 ◽  
Author(s):  
Catherine E. Staunton ◽  
Deb Hubsmith ◽  
Wendi Kallins

Author(s):  
Yiyuan Wang ◽  
Anne Vernez Moudon ◽  
Qing Shen

This study investigates the impacts of ride-hailing, which we define as mobility services consisting of both conventional taxis and app-based services offered by transportation network companies, on individual mode choice. We examine whether ride-hailing substitutes for or complements travel by driving, public transit, or walking and biking. The study overcomes some of the limitations of convenience samples or cross-sectional surveys used in past research by employing a longitudinal dataset of individual travel behavior and socio-demographic information. The data include three waves of travel log data collected between 2012 and 2018 in transit-rich areas of the Seattle region. We conducted individual-level panel data modeling, estimating independently pooled models and fixed-effect models of average daily trip count and duration for each mode, while controlling for various factors that affect travel behavior. The results provide evidence of substitution effects of ride-hailing on driving. We found that cross-sectionally, participants who used more ride-hailing tended to drive less, and that longitudinally, an increase in ride-hailing usage was associated with fewer driving trips. No significant associations were found between ride-hailing and public transit usage or walking and biking. Based on detailed travel data of a large population in a major U.S. metropolitan area, the study highlights the value of collecting and analyzing longitudinal data to understand the impacts of new mobility services.


2013 ◽  
Vol 44 (3) ◽  
pp. 231-238 ◽  
Author(s):  
Barbara B. Brown ◽  
Ken R. Smith ◽  
Heidi Hanson ◽  
Jessie X. Fan ◽  
Lori Kowaleski-Jones ◽  
...  

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