Improving Modeling and Data Collection for Active Transportation
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Improving Modeling and Data Collection for Active Transportation
Safe Routes to School National Partnership | Improving Modeling and Data Collection for Active Transportation
www.saferoutespartnership.org
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Improving Modeling and Data Collection for Active Transportation
www.saferoutespartnership.org
Data Collection for Active Transportation
BEST PRACTICE: City of Santa Monica Santa Monica collects data on all modes at 200 intersections city-wide on a biannual basis. This effort developed out of a need to understand the impacts of numerous investment proposals that were all using project-specific counts that often conflicted with one another. The City now has a longitudinal data set that can be used to track the effects of different transportation investments over time. There is a significant cost to this effort which is paid for through development fees.
www.saferoutespartnership.org
Safe Routes to School National Partnership | Improving Modeling and Data Collection for Active Transportation
www.saferoutespartnership.org
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Safe Routes to School National Partnership | Improving Modeling and Data Collection for Active Transportation
www.saferoutespartnership.org
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Safe Routes to School National Partnership | Improving Modeling and Data Collection for Active Transportation
www.saferoutespartnership.org
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Safe Routes to School National Partnership | Improving Modeling and Data Collection for Active Transportation
Recommendations for Data Collection
www.saferoutespartnership.org
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Modeling for Active Transportation
BEST PRACTICE: “ITHIM” Public Health Model The Integrated Transport and Health Impacts Model (ITHIM) developed by the California Department of Public Health was used to show that “an ambitious, but achievable shift in mode share to active transport in the San Francisco Bay Area could reduce GHG emissions from personal passenger vehicles by 14.5 percent, while reducing the burden of chronic diseases, such as heart attacks, stroke, and diabetes, by 15 percent.”
www.saferoutespartnership.org
Safe Routes to School National Partnership | Improving Modeling and Data Collection for Active Transportation
www.saferoutespartnership.org
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Safe Routes to School National Partnership | Improving Modeling and Data Collection for Active Transportation
www.saferoutespartnership.org
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Safe Routes to School National Partnership | Improving Modeling and Data Collection for Active Transportation
BEST PRACTICE: Metropolitan Transportation Commission - Activity Based Model MTC moved to the activity-based travel model (Travel Model One) in December 2010. Over the next two years, MTC will be making significant improvements to the model that should facilitate order of magnitude improvements in how non-motorized travel is represented. MTC is currently working on an ambitious effort to overhaul the representation of supply – space, roadways, transit service, bicycle ways, and sidewalks – in its travel model, increasing the fidelity of these representations by one or more orders of magnitude. MTC refers to this change as developing its Travel Model Two for planning work – MTC’s existing activity-based travel model is referred to as Travel Model One. Travel Model Two will consist of the improved representation of supply with the SANDAG representation of demand and the SANDAG application software. In subsequent years, Travel Model Three will consist of improved representation of supply with an improved representation of demand. MTC has also been working toward incorporating the public health ITHIM into their modeling.
www.saferoutespartnership.org
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Safe Routes to School National Partnership | Improving Modeling and Data Collection for Active Transportation
Recommendations for Modeling
www.saferoutespartnership.org
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Partnership Opportunities to Improve Modeling and Data Collection
www.saferoutespartnership.org
Improving Modeling and Data Collection for Active Transportation gives an overview of current methods that can be used to track and improve conditions for walking and bicycling. A breakdown of each method is given as well as specific recommendations modeling, data collection, and on creating partnerships around these two subjects.
