6-question school commute survey
Offered in 9 lanaguges
Online and paper survey available
Over 47,000 surveys completed by parents as of 2020
Automated reporting available
Evaluating trends in how students and families travel to and from school is a key component to building a successful Safe Routes to School program.
Parent responses to this survey provide valuable information and help determine how we can improve the environment around the school, target investments, track progress toward goals.
Survey Management & Report Generation
Automated Reports
Response Rate
Report Elements
Student Proximity
Overall Mode Choice
GHG Emissions
Mode Choice by Walkshed
Walk Network Example: Alcott Elementary, Concord
School Comparison -- Mapped
Low Walk-to-School Potential
Data Connection Available for Additional Reporting
Open Source and Transferable
Programming “Stack”
Input files
Research Project: Neighborhood Characteristics
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Route
• Land Use Mix
• Industrial Land Use
• Intersections
• Major Roads
• Route Directness
• Population Density
• Median Household Income
School
• Intersection Density
• School Enrollment
• Race/Ethnicity
• English Language Learners
• Low Income Students
• Population Density
• Median Household Income
Research Project: Neighborhood Characteristics
What Did We Look At?
Research Project: Neighborhood Characteristics
Research Project: Neighborhood Characteristics
Fully Adjusted Model Results | Walk To School |
---|---|
Grades 2-4 | |
Grades 5-8 | |
More Drivers Than Cars | |
At Least One Car per Driver | |
Distance (miles) | |
Route Land Use Mix | |
Major Road on Route | |
Indirect Pedestrian Route | |
School Enrollment | |
School Neighborhood Intersection Density | |
School Neighborhood Median Household Income |
Research Project: Neighborhood Characteristics
Research Project: Neighborhood Characteristics
Research Project: Neighborhood Characteristics
Future Opportunity: Points to Lines
Enabling targeting investments to routes that have a high potential for mode shifting of student commutes.
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Points to Lines: Example
Using open data and software, MAPC developed a examples of what this analysis would look like.
Blue = Predicted route to school for students that walk
Size = Number of Students
Points to Lines: Example
Red = Predicted route to school for students that don't walk
Points to Lines: Example
Size = Number of Students
Purple = Overlay Of Routes
Color weighted to highlight areas with walkers and potential walkers
Points to Lines: Example
Finding the Walk-to-School “Target Market”
Mode Shift