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Layer: Top 20 Freight Bottlenecks (0)

Name: Top 20 Freight Bottlenecks

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Description: Rhode Island Congestion Management Process (CMP) analyzed the top 30 CMP bottlenecks and top 20 freight bottlenecks as a part of the methodology for pinpointing key locations for STIP project focus. The baseline data from 2018 was initially studied for the bottleneck report in the actual plan, but as a part of the ongoing congestion management performance measure monitoring, the same methodology was used for 2019 and published as a part of the first annual report following the adoption of the CMP. These CMP bottlenecks and freight bottlenecks were the top graded based on total delay for the calendar year 2019.

Copyright Text: University of Mayland CATTLab; TrafInfo; Cambridge Systematics; Rhode Island Division of Statewide Planning

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Layer: Top 30 Congested Bottlenecks (1)

Name: Top 30 Congested Bottlenecks

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Description: Rhode Island Congestion Management Process (CMP) analyzed the top 30 CMP bottlenecks and top 20 freight bottlenecks as a part of the methodology for pinpointing key locations for STIP project focus. The baseline data from 2018 was initially studied for the bottleneck report in the actual plan, but as a part of the ongoing congestion management performance measure monitoring, the same methodology was used for 2019 and published as a part of the first annual report following the adoption of the CMP. These CMP bottlenecks and freight bottlenecks were the top graded based on total delay for the calendar year 2019.

Copyright Text: University of Mayland CATTLab; TrafInfo; Cambridge Systematics; Rhode Island Division of Statewide Planning

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Layer: Transit Hubs (2)

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Description: Rhode Island Transit Hubs show major transit centers such as airports, Bus centers, ferry terminals, train stations, and transfer interlink sites.

Copyright Text: RIDSP, RIPTA, Block Island Ferry, Jamestown Newport Ferry

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Layer: Health & Safety Services (3)

Name: Health & Safety Services

Display Field: Name

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Description: Staff at RIDSP compiled 6 data sets to help identify locations critical to health and safety. Four of these data sets were from RIGIS and were last updated in 2018, notably the ones depicting Hospitals, EMS sites, Fire Stations, and Police facilities. The data sets depicting Assisted Living and Nursing Home facilities were based on a list of licensed facilities hosted publicly by RIDOH on their website. This data set included addresses, which were geocoded using the state's internal e-911 address locator. In all data sets, all information was stripped away except the name of the facility and a description of which data set each point came from. AssistLive: Assisted Living Facility; EMS: Emergency Medical Services; Fire: Fire Station; Hospital: Hospital; NurHome: Nursing Homes; Police: Police Station

Copyright Text: RIGIS, RIDOH, RIDSP

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Layer: Community Assets (4)

Name: Community Assets

Display Field: Name

Type: Feature Layer

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Description: Five layers were merged in order to help prioritize projects in the ESTIP tool being developed by RIDSP. Four of the five origional layers all came from RIGIS and have a variety of update years. One layer, depicting food accessibility locations, was developed by the governor's office. All other data was removed except the name of the facility and a type code indicating which layer the point came from. These are:Colleges or Universities; Food Access; Library; Park or Beach access identified by the SCORP; Public Schools.

Copyright Text: RIGIS, The Governor's Office, RIDSP

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Layer: Congested Corridors - Top 20 (5)

Name: Congested Corridors - Top 20

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Description: Rhode Island Congestion Management Process highlighted key corridors as a way of grouping proximate transportation bottlenecks. By utilizing data from INRIX in conjunction with the University of Maryland's Regional Integrated Transportation Information System (RITIS) statewide bottlenecks were exported from the baseline year of 2018 within the state's defined CMP network. Bottlenecks with geographical relation were grouped to provide a broader context for geolocated bottleneck heads along connecting routes. These corridors are meant to inform project prioritization in the Statewide Transportation Improvement Program (STIP) and assist in improving Rhode Island's long-term transportation network outlook.

Copyright Text: University of Maryland CATTLab; TrafInfo; Cambridge Systematics

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Layer: Primary Freight Network (6)

Name: Primary Freight Network

Display Field: Road_Name

Type: Feature Layer

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Description: Trucks are responsible for the majority of freight moved in Rhode Island when measuring shipments by either weight or value. Additionally, the great majority of goods even if traveling by other modes, are ultimately taken by truck for final delivery to the point of sale. Moving Ahead for Progress in the 21st Century Act (MAP-21), and directed the FHWA Administrator to establish a National Highway Freight Network (NHFN) to strategically direct Federal resources and policies toward improved performance of highway portions of the U.S. freight transportation system. Note – The Freight Corridors PHFSN data layer includes the Primary Highway Freight System Network and Intermodal Freight Connections. The Freight Corridors Critical data layer includes the Critical Urban Freight Corridors, the Critical Rural Freight Corridors, and Interstate not on the PFHS Corridors. Primary Highway Freight System Network Most critical portions of the United States freight transportation system. This is a network of highways identified as the most critical highway portions of the U.S. freight transportation system determined by measurable and objective national data. The network consists of 41,518 centerlines miles, including 37,436 centerline miles of Interstate and 4,082 centerline miles of non-Interstate roads. In Rhode Island, the Primary Highway Freight System consists of the entire segment of Interstate 95 as well as the Intermodal Connections of Route 403, Route 4 and Route 37 which connect Interstate 95 to the Port of Davisville and T.F. Green Airport. Intermodal Freight Connections Public roads that provide access between major intermodal facilities and the other four subsystems that make up the National Highway System Critical Urban Freight Corridors Public roads in Urbanized areas which provide access and connection to the PHFS and the Interstate with ports, public transportation facilities and other internodal facilities. A public road designated as a Critical Urban Freight Corridor must be in an urbanized area, regardless of whether the population is above or below 500,000 individuals, and meet one or more of the following four elements: Connects an intermodal facility to: The PFHS; The Interstate System; or An Intermodal freight facility Is located within a corridor or a route on the PFHS and provides an alternative highway option important to goods movement; Serves a major freight generator; logistic center, or manufacturing and warehouse industrial land; or Is important to the movement of freight within the region, as determined by the MPO or State. Critical Rural Freight Corridors Public roads not in an urbanized area which provide access and connection to the PHFS and the Interstate with other important ports, public transportation facilities, or other intermodal freight facilities. A state may designate a public road within the borders of the State as a Critical Rural Freight Corridor if the public road is not in an urbanized area and meets one or more of the following seven elements: is a rural principal arterial roadway and has a minimum of 25 percent of the annual average daily traffic of the road measured in passenger vehicle equivalent units from trucks (Federal Highway Administration vehicle class 8 to 13); provides access to energy exploration, development, installation, or production areas; connects the PHFS or the Interstate System to facilities that handle more than: 50,000 20-foot equivalent units per year; or 500,000 tons per year of bulk commodities; provides access to: a grain elevator; an agricultural facility; a mining facility; a forestry facility; or an intermodal facility; connects to an international port of entry; provides access to significant air, rail, water, or other freight facilities in the State; or is determined by the State to be vital to improving the efficient movement of freight of importance to the economy of the State.

Copyright Text: RI Division of Statewide Planning

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Layer: High Employment Density - Transportation Analysis Zones (TAZs) (7)

Name: High Employment Density - Transportation Analysis Zones (TAZs)

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Description: Transportation Analysis Zones (TAZs) are a generic geography type used in four step travel demand models to hold demographic data. This layer of TAZs was created for use in the Rhode Island Statewide Model (RISM), which uses Population, Household, and Jobs in an econometric model to predict travel across the transportation system. The full layer has many more fields than are included here; those fields were eliminated for clarity. The included fields relate to job density and trip production for the purposes of helping to prioritize project submissions to the Transportation Improvement Plan. The basic geography is composed of census block groups, which are aggregated in places where the RISM needs less detail and kept separate in places where more detail in needed. The current version of the layer was produced by VHB for the Division of Statewide Planning. For more details see Technical Paper 166. High Employment Density are any Census Tracts with 2013 Job Density(SqMi) >=1000.

Copyright Text: Developed by the Rhode Island Division of Statewide Planning.

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Layer: Sea-Level Rise - 7 ft MHHW (8)

Name: Sea-Level Rise - 7 ft MHHW

Display Field: Event

Type: Feature Layer

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Description: Projected sea level rise inundation polygons for MHHW at 7ft sea level rise. Data from the NACCS RI save points were analysed and spatially scaled to develop a series of projected flood inundation surfaces to visualize multiple storm return periods and sea level rise scenarios. Mean projections were used for events with a return period of 10 years or less, while the upper 95% confidence interval (CI) values were applied to events with return periods 25 years and greater to provide an extra measure of protection. These NACCS-derived flood surfaces show projected water levels with the widely used bath tub models.These data are primarily for planning, educational, and awareness purposes only and should not be used for site-specific analysis, navigation, or permitting. • The mapping does not incorporate future changes in coastal geomorphology (coastal erosion) and assumes present conditions (no adjustments for climate change) will persist, which will not be the case. The digital elevation model used to map sea level rise and flooding does not incorporate a detailed hydro-connectivity analysis, or engineering grade hydrologic analysis.

Copyright Text: URI EDC, RIGIS; Shoreline Change SAMP Team, URI Graduate School of Oceanography; FEMA; NOAA; RI Coastal Resources management Council; URI Coastal Resources Center; URI EDC; URI Ocean Engineering; US Army Corps of Engineers.

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Layer: Social Equity and Environmental Justice Populations - Census Tracts (9)

Name: Social Equity and Environmental Justice Populations - Census Tracts

Display Field: NAME

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: Environmental Justice (EJA) are census tracts where Minority Individuals ≥ 28% AND Low Income Individuals (200% of Poverty Level) ≥ 26.9% thresholds are both met. Select Population Groups (SPG)Thresholds (2019) include Census Tracts where Minority >= 28% OR Black/African American >= 6.8% OR American Indian/Alaskan Native >= 0.5% OR Asian >= 3.4% OR Native Hawaiian/Other Pacific Islander >= 0.1% OR Other >= 5.5% OR Two or More Races >= 3.3% OR Hispanic/Latino Origin >= 15.4% OR Individuals in Poverty/Low-Income (200% of Poverty Level) >= 26.9% OR Female Householder w/ Children Under 18 >= 8% OR School-Age Children (Ages 5-19) >= 17.8% OR Aging Individuals (65+) >= 16.8% OR Individuals with a Disability >= 13.4% OR Individuals with Limited English Proficiency (All Languages) >= 8.5% OR Spanish LEP > 5% OR Other Indo-European LEP > 5% OR French/Haitian/Cajun LEP > 5% OR Other Asian/Pacific Island > 5% OR Chinese (Incl. Mandarin & Cantonese) LEP > 5%

Copyright Text: Census, American Community Survey 2019, RI Division of Statewide Planning

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YMin: 23045.422930166125
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Spatial Reference: 102730  (3438)



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Type ID Field: null

Fields:
• OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )
• STATEFP ( type: esriFieldTypeString, alias: State Code, length: 2 )
• COUNTYFP ( type: esriFieldTypeString, alias: County Code, length: 3 )
• TRACTCE ( type: esriFieldTypeString, alias: Tract Code, length: 6 )
• GEOID ( type: esriFieldTypeString, alias: Census Geographic Identifier, length: 11 )
• NAME ( type: esriFieldTypeString, alias: Tract Number, length: 7 )
• NAMELSAD ( type: esriFieldTypeString, alias: Census Tract Name, length: 20 )
• ALAND ( type: esriFieldTypeDouble, alias: Land Area )
• AWATER ( type: esriFieldTypeDouble, alias: Water Area )
• INTPTLAT ( type: esriFieldTypeString, alias: Latitude, length: 11 )
• INTPTLON ( type: esriFieldTypeString, alias: Longitude, length: 12 )
• TotPop ( type: esriFieldTypeInteger, alias: Total Population )
• White ( type: esriFieldTypeInteger, alias: White Population )
• Pcnt_white ( type: esriFieldTypeDouble, alias: % White Population )
• Black ( type: esriFieldTypeInteger, alias: Black or African American Population )
• Pcnt_black ( type: esriFieldTypeDouble, alias: % Black or African American Population )
• AmInd ( type: esriFieldTypeInteger, alias: American Indian & Alaskan Native Population )
• Pcnt_amInd ( type: esriFieldTypeDouble, alias: % American Indian & Alaskan Native Population )
• Asian ( type: esriFieldTypeInteger, alias: Asian Population )
• Pcnt_asian ( type: esriFieldTypeDouble, alias: % Asian Population )
• Hawn_othr ( type: esriFieldTypeInteger, alias: Native Hawaiian & Other Pacific Islander Population )
• Pcnt_hawai_othr ( type: esriFieldTypeDouble, alias: % Native Hawaiian & Other Pacific Islander Population )
• Some_Other ( type: esriFieldTypeInteger, alias: Other Population )
• Pcnt_some_othr ( type: esriFieldTypeDouble, alias: % Other Populcation )
• Two_More ( type: esriFieldTypeInteger, alias: Two or More Races Population )
• Pcnt_two_more ( type: esriFieldTypeDouble, alias: % Two or More Race Population )
• Hispanic ( type: esriFieldTypeInteger, alias: Hispanic or Latino Origin Population )
• Pcnt_hisp ( type: esriFieldTypeDouble, alias: % Hispanic or Latino Origin Population )
• Pvty_200 ( type: esriFieldTypeInteger, alias: Poverty/Low-Income (200% Poverty Level) Population )
• Pcnt_pvty200 ( type: esriFieldTypeDouble, alias: % Poverty/Low-Income (200% Poverty Level) Population )
• Total_HH ( type: esriFieldTypeInteger, alias: Total Households )
• Fem_HH_u18 ( type: esriFieldTypeInteger, alias: Female Householder w/ Children <18 )
• Pcnt_fem_HH_u18 ( type: esriFieldTypeDouble, alias: % Female Householder w/ Children <18 )
• Pop5_19 ( type: esriFieldTypeInteger, alias: School-Age Children (Ages 5-19) )
• Pcnt_15_19 ( type: esriFieldTypeDouble, alias: % School-Age Children (Ages 5-19) )
• Pop65_Above ( type: esriFieldTypeInteger, alias: Aging Individuals (≥65) )
• Pcnt65_above ( type: esriFieldTypeDouble, alias: % Aging Individuals (≥65) )
• Non_Inst_pop_disblty ( type: esriFieldTypeInteger, alias: Individuals w/ Disability (Non-Institutional) )
• Pcnt_non_inst_disblty ( type: esriFieldTypeDouble, alias: % Individuals w/ Disability (Non-Institutional) )
• Occ_HU_No_veh_avail ( type: esriFieldTypeInteger, alias: Careless Households )
• Pcnt_No_Veh ( type: esriFieldTypeDouble, alias: % Careless Households )
• Total_Pop_for_LEP ( type: esriFieldTypeInteger, alias: Total Population (All Languages) )
• tot_span_lep ( type: esriFieldTypeInteger, alias: Spanish LEP )
• Pcnt_Span_LEP ( type: esriFieldTypeDouble, alias: % Spanish LEP )
• tot_fren_hat_vre_lep ( type: esriFieldTypeInteger, alias: French, Haitian, or Cajun LEP )
• Pcnt_French_Hat_cre_LEP ( type: esriFieldTypeDouble, alias: % French, Haitian, or Cajun LEP )
• tot_othr_indo_eur_LEP ( type: esriFieldTypeInteger, alias: Other Indo-European LEP )
• Pcnt_Othr_indo_europ_LEP ( type: esriFieldTypeDouble, alias: % Other Indo-European LEP )
• tot_chinese_lep ( type: esriFieldTypeInteger, alias: Chinese LEP (incl. Mandarin and Cantonese) )
• Pcnt_Chinese_LEP ( type: esriFieldTypeDouble, alias: % Chinese LEP (incl. Mandarin and Cantonese) )
• Tot_othr_asian_lep ( type: esriFieldTypeInteger, alias: Other Asian and Pacific Island LEP )
• Pcnt_othr_asian_LEP ( type: esriFieldTypeDouble, alias: % Other Asian and Pacific Island LEP )
• tot_pop_LEP ( type: esriFieldTypeInteger, alias: Total LEP (Limited English Proficiency) Population )
• Pcnt_Tot_Pop_LEP ( type: esriFieldTypeDouble, alias: % Total Population (All LEP Languages) )
• Tot_non_hisp_white_alone ( type: esriFieldTypeInteger, alias: Total Non-Hispanic White Alone Population )
• Tot_Minority ( type: esriFieldTypeInteger, alias: Minority Individuals (Race) )
• Pcnt_minority ( type: esriFieldTypeDouble, alias: % Minority Individuals (Race) )
• tot_civil_noninst_pop ( type: esriFieldTypeInteger, alias: Total Non-Institutional Population )
• Tot_pop_pov ( type: esriFieldTypeInteger, alias: Total Population (Poverty) )
• SPG ( type: esriFieldTypeString, alias: Special Population Group (SPG), length: 10 )
• Shape ( type: esriFieldTypeGeometry, alias: Shape )
• EJA ( type: esriFieldTypeString, alias: Environmental Justice Area (EJA), length: 5 )
• Carless ( type: esriFieldTypeString, alias: Carless Households, length: 5 )