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2 . What Data Tells Us About the State of Safety in our Communities
This plan reviewed crashes in Arlington for a five-year period from 2018-2022 . A five-year period is used for statistically significant crash trends , to establish a network , and to adequately minimize the risk of including crashes that have already been mitigated . Safe Streets and Roads for All requires that Comprehensive Safety Action Plans be updated every five years ; thus , the next plan will include the following five years of crash data . This analysis excludes 2023 crash data due to this data being incomplete at the time this plan was prepared .
This chapter includes a comparison of Arlington ' s crash history to peer cities in the region and in Texas , and examines collision trends to evaluate when , where , and why collisions occur and who is involved . Safe Streets Arlington has an online dashboard for visitors to explore the crash data from 2018-2022 and view where most injury collisions are concentrated along the high-injury networks , for targeted intervention .
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Note on the Data Source
This analysis utilizes data on collisions for a five-year period from 2018 through 2022 available through the Texas Department of Transportation ( TxDOT ) Crash Records Information System ( CRIS ). Geographically , the data includes all collisions that occur within Arlington and excludes TxDOT highways ( IH-30 , IH-20 , US 360 , US 287 ) and private streets , to focus on roadways the City of Arlington has ownership of and therefore the ability to improve . Figure 2 displays the ownership for roadways in Arlington . While collision databases like CRIS remain the best source of collision data , they have been found to have certain reporting biases , including collisions involving people walking , on bicycles , or on motorcycles are less likely to be reported than collisions with people driving ; property damage only collisions are less likely to be reported compared to more severe collisions ; younger victims are less likely to report collisions ; and alcohol-involved collisions may be underreported .
Collision data may also include bias as reports are based on a number of different factors such as an officer ' s perception of the race of those involved , the accuracy of bystander witness reports , and emergency service arrival . However , there is currently limited research on the frequency and effect of reporting biases .
COMPREHENSIVE SAFETY ACTION PLAN 7