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Layer: MTA.pedvolumemodel (ID: 2)

View In:   ArcGIS Online Map Viewer

Name: MTA.pedvolumemodel

Display Field: ST_NAME1

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description: A) Purpose: This dataset is created to show the estimated yearly pedestrian volume at each intersection.B) Methodology: T:\T_E_FILES\LivableStreets\Ped Program\Collisions &Volumes\Volumes\Ped Counting Project\Consultant ReportC) Updated: NeverD) Critical Info: Volume estimates made with 2011 transportation data and 2000 US Census dataE) Attributes:CNN: San Francisco's street centerline network unique ID; ST_NAME1: Name of cross street;ST_TYPE1: Type of street;ST_NAME2: Name of cross street;ST_TYPE2: Type of street;ST_NAME3: Name of cross street;ST_TYPE3: Type of street;ST_NAME4: Name of cross street;ST_TYPE4: Type of street;TOTEMP2: Total number of jobs within 0.25 miles of the intersection in 2010. Data calculated by SFCTA from SFCTA traffic analysis zones. These data are produced by the SF Planning Department by allocating ABAG county‐level land use figures to the SFCTA's 981 transportation analysis zones within San Francisco;UNIVPROX: Intersection is located within 0.25 miles of one the five major university campuses in the city: USF Lone Mountain, UCSF Parnassus, UCSF Mission Bay, City College Ingleside, SFSU Park Merced. Other schools are not included, since they are either smaller, more spread out, or different in character (e.g., serve adult/commuter students at night). (1 = yes, 0 = no);Signalized: Intersection is controlled by a traffic signal. (1 = yes, 0 = no); PkgMeters: Intersection is in a zone with parking meters (e.g., parking meters are present on at least one approach to the intersection). (1 = yes, 0 =no); MaxPctSlpe: Maximum slope of any approach to the intersection. (Percent slope); Model6_Vol: Annual pedestrian volume;HH_PedMode: Unknown;PCol_04: Unknown;PCol_Rate: Unknown

Copyright Text: A) Contact: Jen Wong; Jennifer.wong@sfmta.com; Livable Streets, SSD, SFMTA B) Created: 20110518 C) Versions: 20150518, Jen Wong, clean up for MTA spatial datastore

Default Visibility: false

MaxRecordCount: 10000

MaxSelectionCount: 0

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0.0

Max Scale: 0.0

Supports Advanced Queries: true

Supports Statistics: true

Can Scale Symbols: false

Use Standardized Queries: true

Supports ValidateSQL: true

Supports Calculate: true

Supports Datum Transformation: true

Extent:
Drawing Info: Advanced Query Capabilities:
HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Type ID Field:

Fields: Templates:
Capabilities: Query

Sync Can Return Changes: false

Is Data Versioned: false

Supports Rollback On Failure: true

Supports ApplyEdits With Global Ids: false

Edit Fields Info:
Supports Query With Historic Moment: false

Supports Coordinates Quantization: true

Child Resources:

Supported Operations:   Query   Validate SQL   Generate Renderer   Return Updates   Iteminfo   Thumbnail   Metadata   Update Metadata