Name: Top 5% Pedestrian Crash Clusters 2010-2019

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The top locations where reported collisions occurred between pedestrians and motor vehicles have been identified. The crash cluster analysis methodology for the top pedestrian clusters uses a fixed meter search distance of 100 meters (328 ft.) to merge crash clusters together. Located crashes between motor vehicles and pedestrians were identified by using the non-motorist type code as well as first harmful events and most harmful events within the CDS database. Furthermore, the methodology uses the Equivalent Property Damage Only (EPDO) weighting to rank the clusters. EPDO is based any type of injury crash (including fatal, incapacitating, non-incapacitating and possible) having a weighting of 21 compared to a property damage only crash (which has weighting of 1). However, because of the relatively small number of reported pedestrian crashes in the crash data file, the clustering analysis used crashes from the ten year period from 2010-2019. Additionally, due to the larger geographic area encompassed by the pedestrian crash clusters, it was difficult to name them so they were left unnamed but can be viewed spatially.</SPAN></P></DIV></DIV></DIV>

Copyright Text: Massachusetts Department of Transportation Office of Planning

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Fields:

• OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )
• Id ( type: esriFieldTypeInteger, alias: Id )
• CrashCount ( type: esriFieldTypeInteger, alias: Total Crashes )
• GroupCode ( type: esriFieldTypeString, alias: Group Code, length: 50 )
• L1STREET ( type: esriFieldTypeString, alias: Longest Street 1, length: 90 )
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• RPAS ( type: esriFieldTypeString, alias: RPAS, length: 254 )
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• NUM_O ( type: esriFieldTypeInteger, alias: PDO & Non Reported Crashes )
• EPDO ( type: esriFieldTypeInteger, alias: Equivalent Property Damage Only Total )
• TOP_5_TOWN ( type: esriFieldTypeString, alias: Top 5% of Town Crashes, length: 254 )
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