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Layer: MTA.crossingguard_intersections (0)

Name: MTA.crossingguard_intersections

Display Field: STREET1

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Description: A) Purpose: This dataset was created to show the street intersections that are served by the SFMTA School Crossing Guard Program.B) Methodology: N/AC) Updated: As neededD) Critical Info: N/AE) Attributes:Primary_st: primary street;Secondary: secondary street;CNN: intersection ID;Street1: cross street;Street2: cross street;Street3: cross street;Street 4: cross street;School_nam: name of school that the crossing guard serves;Num_guards: number of guards assigned to this intersection;School: school name used for labeling

Copyright Text: A) Contact: Jen Wong; Jennifer.wong@sfmta.com; Livable Streets, SSD, SFMTA B) Created: 20121012 C) Versions: 20150812, Jen Wong, deleted individual school crossing guard names and added additional locations 20150811, Jen Wong, cleaned up school names 20150528, Jen Wong, clean up for MTA spatial datastore

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Layer: MTA.paintedsafetyzones (1)

Name: MTA.paintedsafetyzones

Display Field: CREATED_USER

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description: A) Purpose: This dataset was created to show the locations of painted safety zones, many of which are implemented through the WalkFirst Investment Strategy.B) Methodology: N/AC) Updated: As neededD) Critical Info: N/AE) Attributes:CNN: San Francisco's street centerline network unique ID:Locations: Intersection;Units: number of painted safety zones at the intersection;INSTALL_DA: Install date;PM: project manager;CREATED_USER: person who created the entry;CREATED_DATE: date the entry was created;LAST_EDITED_DATE: date last edited;LAST_EDITED_USER: last person to edit

Copyright Text: A) Contact: Jen Wong; Jennifer.wong@sfmta.com; Livable Streets, SSD, SFMTA B) Created: 20150605 C) Versions: 20150824, Jen Wong, added new PSZ locations 20150812, Jen Wong, added new PSZ locations 20150714, Jen Wong, added new PSZ locations 20150707, Jen Wong, added new PSZ locations 20150605, Jen Wong, clean up for MTA spatial datastore

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Layer: MTA.pedvolumemodel (2)

Name: MTA.pedvolumemodel

Display Field: ST_NAME1

Type: Feature Layer

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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

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Layer: MTA.DPH_ped_hin_archive (3)

Name: MTA.DPH_ped_hin_archive

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Description: | A. PURPOSE | This data was created by the San Francisco Department of Public Health to identify street segments and intersections in San Francisco that have a high number of pedestrian fatalities and severe injuries. As of 2014, this network is being used to inform Vision Zero.| B. METHODOLOGY | Pedestrian high injury corridors were originally derived from 2005-2009 Statewide Integrated Traffic Records System (SWITRS) injury records. All pedestrian injuries resulting from a collision between a vehicle and a pedestrian were used in the analysis, for a total of 3,883 pedestrian injuries (383 of which were severe) and 97 fatalities (16 pedestrian injuries were not able to be geocoded​).For this analysis, severe and fatal injuries were weighted by multiplying those counts times 3 while complaints of pain and visible injury were assigned a count of 1. Weighted injuries were then aggregated at an intersection level (based on primary and secondary streets in SWITRS) and then assigned their adjoining street segments. Potential high injury density corridors were defined by first identifying street segments with weighted counts =>9 and then assessing whether there was a linear pattern of higher injury counts proximate to those segments and following the street network. A kernel density geoprocessing tool that takes into account the area density of the mapped, weighted injuries served as a qualitative check that area-level concentrations of injury were captured.These high injury corridors were revised in 2013 using SWITRS injury records from 2010 and 2011. With the additional two years of data there were a total of 5,452 pedestrian injuries, out of which 127 were fatalities (48 pedestrian injuries were not able to be geocoded and were thus excluded from the analysis). New HICs and HIC extensions were identified by assessing both absolute changes in injury density from 2005-2009 compared to 2007-2011 as well as segment-level weight injury counts for 2007-2011 compared to 2005-2009. The data was split into two overlapping groups of 5-year periods to account for the small sample of size of injuries occurring per year and associated issues with respect to random variation and regression to the mean. In addition, intersections a relatively high rate of (pedestrian injuries/pedestrian volumes), were identified using pedestrian volumes estimated from a pedestrian volume model developed for San Francisco. The HIPIs identified have a weighted total pedestrian injury count >=4 and a pedestrian crossing risk (weighted total pedestrian injuries / pedestrian volume) >= 3 injuries annually per 1 million walk trips (intersections in the 97thpercentile and higher of all intersections with an estimated pedestrian crossing risk, utilizing injury data from 2005-2011). Also identified were intersections with a relatively higher number of pedestrian injuries that were not located on HICs. These intersections had a total of 9 or more weighted total pedestrian injuries from 2005-2011. http://www.sfhealthequity.org/component/jdownloads/finish/8-transportation/280-identifying-high-pedestrian-injury-corridors-for-targeted-safety-improvements/0?Itemid=0| C. UPDATE FREQUENCY | This dataset will be updated in 2015/16 using 2009-2013 injury when available from SWITRS. This update schedule is tentative and pending approval from the MTA/DPH. Please contact Devan Morris (devan.morris@sfdph.org) to inquire about the latest pedestrian high injury network.| D. OTHER CRITICAL INFO | This is one of three networks that make up the Vision Zero High Injury Network. All injury data was geocoded to the nearest intersection for this analysis and available on www.transbasesf.org. A complete methodology is available here: http://bit.ly/1QQxU79.| E. ATTRIBUTES |OBJECTID: Unique record identifier;geom: PostGIS/ArcGIS geometry identifier;cnn_sgmt_pkey: This attribute is the same as Centerline Network Number Unique ID (CNN) found in other road network feature classes throughout the city;street_name: Street name excluding prefix and suffix;street_type: Street suffix;street_layer: SFDPW street classification;full_street_name: Full street name including suffix;class_code: Class code used for symbolizing;gis_length_miles: Street length representing duel carriage ways as one street segment instead of two;duel_car_way_yn: Street is represented as a duel carriage way;duel_car_way_id: Unique ID assigned for each side of a duel carriage way;corrected_length_miles: Street length representing duel carriage ways as one street segment instead of two;f_node_cnn_intrsctn_fkey: Unique intersection ID at start of street segment;t_node_cnn_intrsctn_fkey: Unique intersection ID at end of street segment;shape_length: Object length created by ArcGIS;sgmt_ped_hgh_injry_crrdr_pkey: Unique identifier used by TransBASE;hic_code: Unique code created for each pedestrian high injury corridor;hic_name: Name of each pedestrian high injury corridor;cross_street_1: Starting cross street for pedestrian high injury corridor;cross_street_2: Ending cross street for pedestrian high injury corridor;geom_Length: Object length created by ArcGIS

Copyright Text: | A. CUSTODIAN | Devan Morris, devan.morris@sfdph.org, Population Health, San Francisco Department of Public Health; Megan Wier, megan.wier@sfdph.org, Population Health, San Francisco Department of Public Health | B. CREATED | 20131213 | C.VERSIONS | 20110601, Devan Morris/Megan Wier (Department of Public Health); 20131213, Devan Morris/Megan Wier (Department of Public Health) – see complete methodology for additions

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Layer: MTA.saferoutes_schools (4)

Name: MTA.saferoutes_schools

Display Field: STREETNAME

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Description: A) Purpose: This dataset was created to show the locations of participating schools in the SRTS program (from 2009-2015). B) Methodology: Manually updatedC) Updated: annuallyD) Critical Info: No information for the 2011-12 school year; this does not mean that no schools participated, but rather that spatial documentation is unavailable.E) Attributes:Streetname: street name;Type: street type;Odd_even: whether the school is on the odd or even side of the street;NEWFIELD1: school name;Grade: school grade levels;Former_nam: former school name;Supdist: supervisorial district;Public: whether school is public or private;GD_FOR_MAP: school grade level category for symbology;Status: notes about school status;School: school name for labeling;Installed: 0 = 15 mph school zone present; 1 or 3 = 15 mph school zone not present;Address_fu: school address;Neighborho: neighborhood

Copyright Text: A) Contact: Jen Wong; Jennifer.wong@sfmta.com; Livable Streets, SSD, SFMTA B) Created: 20150528 C) Versions: 20150616, Steph Nelson, merged single year shapefiles into one parent shapefile for MTA spatial data store prep 20150528, Jen Wong, created for MTA spatial datastore

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Layer: MTA.crossingguard_schools (5)

Name: MTA.crossingguard_schools

Display Field: STREETNAME

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Description: A) Purpose: This dataset was created to show the schools that are served by the SFMTA School Crossing Guard Program.B) Methodology: N/AC) Updated: As neededD) Critical Info: N/AE) Attributes:Area: square feet of the polygon shape;Perimeter: feet of perimeter of the polygon shape;Blklot: ID of the block;Lot_num: block lot number;From_: address number range;To: address number range;Streetname: street name;Type: street type;Odd_even: o = odd side of the street; e = even side of the street;Fullschnam: school name;Grade: grade levels of the school;Former_nam: former school name;Supdist: supervisorial district;Public: whether the school is a public or private school;GD_for_map: grade level of the school into categories used for symbolizing;School: school name;Label_nam: school name used for labeling;X: longitude;Y: latitude

Copyright Text: A) Contact: Jen Wong; Jennifer.wong@sfmta.com; Livable Streets, SSD, SFMTA B) Created: 20121012 C) Versions: 20150812, Jen Wong, added more school locations served by school crossing guards 20150528, Jen Wong, clean up for MTA spatial datastore

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Layer: MTA.sidewalk_widths (6)

Name: MTA.sidewalk_widths

Display Field: STREET

Type: Feature Layer

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Description: | A. PURPOSE | This dataset shows the presence of sidwalks and their widths on San Francisco steet segments.| B. METHODOLOGY | Sidewalk widths are generated from a 2014 study by consulting firm AECOM and joined to the San Francisco centerline network dataset.| C. UPDATE FREQUENCY | As needed| D. OTHER CRITICAL INFO | Some centerline segments do not have sidewalk information.| E. ATTRIBUTES |CNN: San Francisco's street centerline network unique ID;STREET: Street name;ST_TYPE: Street type;CLASS: San Francisco Better Streets Plan classification;WIDTH_MIN: Minimum sidwalk width per San Francisco Better Streets Plan;WIDTH_RECO: Recommended sidwalk width in feet;SIDEWALK_F: Actual sidewalk width in feet;SIDE: Which side of the street

Copyright Text: | A. CUSTODIAN | Jen Wong; Jennifer.wong@sfmta.com; Livable Streets, SSD, SFMTA | B. CREATED | 20160125 | C. VERSIONS | 20160429, Jen Wong, deleted extraneous fields 20160125, Jen Wong, joined AECOM spreadsheet dataset to centerline network shapefile using CNN field

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Layer: MTA.ped_walkingtimes (7)

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