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Authors’ response to the letter to the editor regarding Why Cities with High Bicycling Rates are Safer for All Road Users

Published on Mar 1, 2020in Journal of transport and health2.583
· DOI :10.1016/j.jth.2019.100677
Wesley E. Marshall16
Estimated H-index: 16
(University of Colorado Denver),
Nicholas N. Ferenchak4
Estimated H-index: 4
(UNM: University of New Mexico)
Abstract
  • References (5)
  • Citations (0)
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References5
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#1Wesley E. Marshall (University of Colorado Denver)H-Index: 16
#2Nicholas N. Ferenchak (UNM: University of New Mexico)H-Index: 4
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#1Toshihiro YokooH-Index: 1
#2David M LevinsonH-Index: 42
This paper analyzes the relationship between road network structure and the percentage of speeding using GPS data collected from 152 individuals over a 7 day period. To investigate the relationship, we develop an algorithm and process to match the GPS data and GIS data accurately. Comparing actual travel speed from GPS data with posted speed limits we measure where and when speeding occurs, by whom. We posit that road network structure shapes the decision to speed. Our result shows that the perc...
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#1Wesley E. Marshall (University of Colorado Denver)H-Index: 16
#2Norman W. Garrick (UConn: University of Connecticut)H-Index: 16
The preponderance of evidence suggests that denser and more connected communities with a higher degree of mixed land uses results in fewer vehicle kilometers traveled (VKT). However, there is less agreement as the size of the effect. Also, there is no clear understanding as to the aspects of community design that are most important in contributing to lower VKT. One reason why there is some confusion on this point is that past studies have not always made a clear distinction between different com...
16 CitationsSource
#1Wesley E. Marshall (University of Colorado Denver)H-Index: 16
#2Norman W. Garrick (UConn: University of Connecticut)H-Index: 16
Abstract Negative binomial regression models were used to assess the effect of street and street network characteristics on total crashes, severe injury crashes, and fatal crashes. Data from over 230,000 crashes taking place over 11 years in 24 California cities was analyzed at the U.S. Census Block Group level of geography. In our analysis we controlled for variables such as vehicle volumes, income levels, and proximity to limited access highways and to the downtown area. Street network charact...
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#1Reid Ewing (UMD: University of Maryland, College Park)H-Index: 47
#2Tom Schmid (CDC: Centers for Disease Control and Prevention)H-Index: 6
Last. Stephen W. Raudenbush (UM: University of Michigan)H-Index: 67
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Purpose. To determine the relationship between urban sprawl, health, and health-related behaviors. Design. Cross-sectional analysis using hierarchical modeling to relate characteristics of individuals and places to levels of physical activity, obesity, body mass index (BMI), hypertension, diabetes, and coronary heart disease. Setting. U.S. counties (448) and metropolitan areas (83). Subjects. Adults (n 5 206,992) from pooled 1998, 1999, and 2000 Behavioral Risk Factor Surveillance System (BRFSS)...
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