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Taking Steps Towards Pedestrian Safety: A Case Study of Charlotte, North Carolina

This study attempts to answer the research question: Can features of the built environment be used to predict the locations of pedestrian crashes at the street level in Uptown Charlotte, North Carolina?

Run files in the following order WITHOUT clearing the environment:

  1. 1_CharPedCrashes_CrashDescrStats.R
  2. 2_CharPedCrashes_IndepVariables.R
  3. 3_CharPedCrashes_RandomForest_NBR.R

Sources for data clearly linked within R files, and outlined below:

File Name Description Source
Bike_Lanes Bike Lanes Charlotte DOT (2019a)
Bus_Stops Bus Stops Charlotte Area Transit (2019)
Downtown_Wards Uptown Boundary Char-Meck Planning Dept. (2019)
Greenways_Trees * Trees Porter (2018)
High_Injury_Network High Injury Network CharlotteNC (2020)
LYNX_Blue_Line_Stations Light Rail Stations Jenkins (2019a)
LYNX_Gold_Line_Stops Light Rail Stations Jenkins (2019b)
Mecklenburg_Jurisdictions Charlotte Boundary Mecklenburg County (2020b)
NCDOT_2018_TrafficSegments * AADT Volumes Traffic Survey Group (2018)
NCDOT_BikePed_Crashes_2007_2018.gdb Pedestrian Crashes NCDOT DBPT (2020)
OSM_Crossings Crosswalks OpenStreetMap Contributors (2020)
Parcel_TaxData_Uptown Tax Parcel Building Data Mecklenburg County (2020c)
Parking_Meters Parking Meters Charlotte DOT (2019b)
Traffic_Signals Traffic Signals Charlotte DOT (2019c)
Uptown_Road_Characteristics Road Segments NCDOT (2020)

* = files too large to be uploaded to GitHub; can be downloaded from link


Data Sources

Charlotte DOT (2019a), ‘Bike lanes’. Electronic dataset, Charlotte Open Data Portal, available at: https://data.charlottenc.gov/datasets/bike-lanes?geometry=-82.798%2C34.842%2C-78.843%2C35.627 Accessed 21 Jul. 2020.

Charlotte Area Transit (2019), ‘Bus stops’. Electronic dataset, Charlotte Open Data Portal, available at: https://data.charlottenc.gov/datasets/e0643b893ea24703830c3e41e231db69_0 Accessed 21 Jul. 2020.

Char-Meck Planning Dept. (2019), ‘Downtown wards’. Electronic dataset, Charlotte Open Data Portal, available at: https://data.charlottenc.gov/datasets/64dde23672004971a1b2dbf3a12f733e_13 Accessed 21 Jul. 2020.

Porter, T. (2018), ‘Charlotte, NC greenways trees’. Electronic dataset, Koordinates, available at: https://koordinates.com/layer/96938-charlotte-nc-greenways-trees/ Accessed 21 Jul. 2020.

CharlotteNC (2020), ‘High Injury Network’. Electronic dataset, Charlotte Open Data Portal, available at: https://data.charlottenc.gov/datasets/4a27df737ba24be7acf1314f38925a4f_87 Accessed 31 Jul. 2020.

Jenkins, W. (2019a), ‘Lynx blue line stations’. Electronic dataset, Charlotte Open Data Portal, available at: https://data.charlottenc.gov/datasets/lynx-blue-line-stations Accessed 16 Jul. 2020.

Jenkins, W. (2019b), ‘Lynx gold line stops’. Electronic dataset, Charlotte Open Data Portal, available at: https://data.charlottenc.gov/datasets/lynx-gold-line-stops Accessed 14 Jul. 2020.

Mecklenburg County (2020b), ‘Mecklenburg County jurisdictions’. Electronic dataset, Open Mapping, available at: http://maps.co.mecklenburg.nc.us/openmapping/data.html?search=Mecklenburg%20County%20Jurisdictions Accessed 21 Jul. 2020.

Traffic Survey Group (2018), ‘2018 traffic segments shapefile’. Electronic dataset, Connect NCDOT, available at: https://connect.ncdot.gov/resources/State-Mapping/Pages/Traffic-Survey-GIS-Data.aspx Accessed 21 Jul. 2020.

NCDOT DBPT (2020), ‘Bicyclist and pedestrian crashes that occurred in North Carolina between years 2007 through 2018’. Electronic dataset, ArcGIS, available at: https://www.arcgis.com/home/item.html?id=801a34b6d3e64786a131d1fa2eca793d Accessed 21 Jul. 2020.

OpenStreetMap Contributors (2020), ‘Planet dump retrieved from https://planet.osm.org’.

Mecklenburg County (2020c), ‘Tax parcel ownership and building data’. Electronic dataset, Open Mapping, available at: http://maps.co.mecklenburg.nc.us/openmapping/data.html?search=Tax%20Parcel%20Ownership%20and%20Building%20Data Accessed 21 Jul. 2020.

Charlotte DOT (2019b), ‘Parking meters’. Electronic dataset, Charlotte Open Data Portal, available at: https://data.charlottenc.gov/datasets/parking-meters?geometry=-80.849%2C35.223%2C-80.834%2C35.226 Accessed 21 Jul. 2020.

Charlotte DOT (2019c), ‘Traffic signals’. Electronic dataset, Charlotte Open Data Portal, available at: https://data.charlottenc.gov/datasets/traffic-signals-1 Accessed 21 Jul. 2020.

NCDOT (2020), ‘NCDOT road characteristics’. Electronic dataset, NC OneMap, available at: https://www.nconemap.gov/datasets/NCDOT::ncdot-road-characteristics?geometry=-80.856%2C35.222%2C-80.825%2C35.228 Accessed 21 Jul. 2020.

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Can features of the built environment be used to predict the locations of pedestrian crashes at the street level in Uptown Charlotte, North Carolina?

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