20230711
11360000
1.0
TRUE
<span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>This crash dataset does include crashes from 2023 up until near the middle of July that have been reviewed and loaded into the Maine DOT Asset Warehouse. This crash dataset is </span><b>static </b><span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>and was put together as an example showing the clustering functionality in ArcGIS Online. In addition the dataset was designed with columns that include data items at the Unit and Persons levels of a crash. </span><span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>The feature layer visualization by default will show the crashes aggregated by the </span><b>predominant </b><span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>crash type along the corridor. The aggregation settings can be toggled off if desired and crashes can be viewed by the type of crash. </span><b>Both </b><span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>the aggregation and standard Feature Layer configurations </span><b>do include </b><span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>popup settings that have been configured.</span><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><br /></div><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>As mentioned above, the Feature Layer itself has been configured to include a standard unique value renderer based on Crash Type and the layer also includes clustering aggregation configurations that <b>could </b>be toggled on or off if the user were to add this layer to a <b>new </b><font style='font-family:inherit;'>ArcGIS Online Map. Clustering and aggregation options in ArcGIS Online provide functionality that is </font><b>not </b>yet available in the <b>latest </b>version of ArcGIS Pro (<=3.1). This additional configuration includes how to show the popup content for the cluster of crashes. Users interested in learning more about clustering and aggregation in ArcGIS Online and some <i>more </i>advanced options should see the following ESRI article (<a style='color:rgb(0, 121, 193);' target='_blank' rel='noopener noreferrer'>https://www.esri.com/arcgis-blog/products/arcgis-online/mapping/summarize-and-explore-point-clusters-with-arcade-in-popups/</a>).<br /><br />Popups have been configured for <b>both </b>the clusters and the <b>individual </b>crashes. The <b>individual </b>crashes themselves do include multiple tables within a <b>single </b>text element. The bottom table does include data items that pertain to at a maximum of three units for a crash. If a crash includes just one unit then this bottom table will include <b>only </b>2 columns. For each additional unit involved in a crash an additional column will appear listing out those data items that pertain to that unit up to a maximum of 3 units. There are crashes that <b>do </b>include <b>more </b>than 3 units and information for these additional units is <b>not </b>currently included in the dataset at the moment. <br /><br />The crash data items available in this Feature Layer representation includes many of the <b>same </b>data items from the Crash Layer (10 Years) that are available for use in Maine DOT's Public Map Viewer Application that can be accessed from the following link(<a style='color:rgb(0, 121, 193);' target='_blank' rel='noopener noreferrer'>https://www.maine.gov/mdot/mapviewer/?added=Crashes%20-%2010%20Years</a>). However this crash data includes data items that are <b>not </b>yet available in other GIS Crash Departments used in visualizations by the department currently. These additional data items can be aggregated using other presentation types such as a Chart, but could also be filtered in the map. Users should refer to the unit count associated to each crash and be aware when a units information <b>may </b>not be visible in those situations where there are four or more units involved in a crash.</div>
Crash data since 2012 along State Route 111 in primarily Arundel, but it does include some crashes in Biddeford. The dataset includes crashes from the intersection of Mariner Rd with State Route 111 in Biddeford to the townline of Arundel and Lyman along State Route 111. If there are sections of State Route 111 that are considered to be Divided in the LRS and/or pass through a facility that is not a standard two way roadway segment. Divided sections would be coded to a different route (0111E) in the LRS. Using a data driven bridge those crashes coded to 0111E were calibrated to have 0111X mile points. This calibration is not completed using spatial methods, but is truly a tabular approach. Therefore if the distance of the Southbound (SB) route is different than the Northbound (NB) route than the calibration can be slightly off. In any case the goal of calibrating to a single route allows for simplier criteria to filter crashes.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=