20260717
16592000
1.0
FALSE
HSIPBicycleClustersYear_Year_100Meters
002
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_StatePlane_Massachusetts_Mainland_FIPS_2001
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ItemDescription
Bonnie Polin
Mass DOT Highway Safety and Engineering
Manager
18673689636
10 Park Plaza
Boston
MA
02116
bonnie.polin@state.ma.us
20260715
ArcGIS Metadata
1.0
MASSDOT.DBO.HSIP_Eligible_Bicycle_Crash_Clusters_2014_2023
2020-02-26
Bonnie Polin, Mass DOT Highway Safety and Engineering, Manager
vector digital data
<DIV STYLE="text-align:Left;"><DIV><P><SPAN>The top locations where reported collisions occurred between bicyclists and motor vehicles have been identified. The crash cluster analysis methodology for the top bicyclist clusters uses a fixed meter search distance of 100 meters (328 ft.) to merge crash clusters together. Located crashes between motor vehicles and bicyclists were identified by using the non-motorist type code within the CDS database (which may yield different results from using most harmful event, first harmful event, or sequence of events data fields). Furthermore, the methodology uses the Equivalent Property Damage Only (EPDO) weighting to rank the clusters. However, because of the relatively small number of reported bicyclists crashes in the crash data file, the clustering analysis used crashes from the ten year period from 2014-2023. Additionally, due to the larger geographic area encompassed by the bicyclist crash clusters, it was difficult to name them so they were left unnamed but can be viewed spatially.</SPAN></P></DIV></DIV>
Highway Safety Improvement Program Bicycle Crash Cluster Locations. This layer shows the top 5% of bicycle crash clusters for each Regional Planning Agency between the years of 2014-2023.
Massachusetts Department of Transportation Office of Planning
freeways
median
road inventory
functional classification
functional class
roads
routes
lanes
local roads
mileage
traffic count
collectors
speed limit
major streets
ADT
sidewalks
major roads
highways
streets
Chapter 90
freeways
median
road inventory
functional classification
functional class
roads
routes
lanes
local roads
mileage
traffic count
collectors
speed limit
major streets
ADT
sidewalks
major roads
highways
streets
Chapter 90
<DIV STYLE="text-align:Left;"><DIV><P><SPAN>This data is in the public domain and therefore can be used by anyone for any purpose. MassDOT shall not be held liable for any errors in this data. This includes errors of omission, commission, errors concerning the content of the data, and relative and positional accuracy of the data. This data cannot be construed to be a legal document. Primary sources from which this data was compiled must be consulted for verification of information contained in this data.</SPAN></P></DIV></DIV>
Esri ArcGIS 12.4.2.19948
true
-73.263588
-70.053277
42.780221
41.265563
Massachusetts 2008-2017
2008-01-01
2017-12-31
The data contained represents only relevant crash information based on the data collected and the processes used to define and display the data.
The data only includes crash information collected by the RMV within the specified time range.
The data contained represents only relevant crash information based on the data collected and is part of an ongoing series of event layers recording this data for the specified time range.
2020-02-26
0
MASSDOT.DBO.HSIP_Eligible_Bicycle_Crash_Clusters_2008_2017
This is HSIP Eligible Bicycle Crash Clusters 2008-2017
MassDOT Highway Division
Feature Class
0
OBJECTID
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
SHAPE
Feature geometry.
Esri
Coordinates defining the features.
Id
Sequential numbers for Object Identification
MassDOT Highway Division
CrashCount
Number of located bicyclist crashes within 100 Meter cluster
MassDOT Highway Division
GroupCode
Unique field generated in the cluster creation
MassDOT Highway Division
L1STREET
Longest street within the cluster
MassDOT Highway Division
L2STREET
Second longest street within the cluster
MassDOT Highway Division
L1STREETRT
Longest route within the cluster
MassDOT Highway Division
L2STREETRT
Second longest route within the cluster
MassDOT Highway Division
FC1STREET
Street with highest functional class within the cluster
MassDOT Highway Division
FC2STREET
Street with second highest functional class within the cluster
MassDOT Highway Division
FC1STREETR
Route information for street with highest functional class within the cluster
MassDOT Highway Division
FC2STREETR
Route information for street with second highest functional class within the cluster
MassDOT HIghway Division
RPAS
Regional planning agency/agencies where the cluster is located
MassDOT Highway Division
NUM_K_A
Number of fatal and serious injury crashes within the cluster
MassDOT HIghway Division
NUM_B_C
Number of non-incapacitating injury and possible injury crashes within the cluster
MassDOT Highway Division
NUM_O
Number of non injury crashes within the cluster (property damage only)
MassDOT Highway Division
EPDO
Equivalent Property Damage Only crashes within the cluster
MassDOT Highway Division
TOP_5_TOWN
Town the crash cluster is located within. The crash cluster represents the top 5% of the 10 year bicycle crash clusters that have occurred in the Town.
MassDOT Highway Division
TOP_5_RPA
Regional Planning Agency the crash cluster is located within. The crash cluster represents the top 5% of the 10 year bicycle crash clusters that have occurred in the RPA.
MassDOT Highway Division
TOWNS
Town(s) where the cluster is located
MassDOT Highway Division
MASSDOT
MassDOT district(s) where the cluster is located
MassDOT Highway Division
NUM_KABC
Number of all injury type crashes within the cluster to include fatal, incapacitating, non-incapacitating, and possible injuries
MassDOT Highway Division
SHAPE_Length
SHAPE_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
SHAPE_Area
SHAPE_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
File Geodatabase Feature Class
dataset
EPSG
2.1(3.0.1)
Simple
FALSE
0
TRUE
FALSE