Webinar June 28th: Making Vision Zero a Reality, Data-Driven Policy + Infrastructure Interventions for All

Complementary Data

In addition to Trends and Places, Replica customers can access a number of datasets that provide utility on their own and can be used in tandem with our modeled datasets.

Land Use Classification Table

Replica uses a multi-level land use classification to allow for aggregations and analysis at different granularities. Details on this classification can be found below in the schema. Please note that not all primary (L1) categories have distinct (L2) sub-categories. In the cases where we do not break down subcategories, the L2 land use inherits directly from L1. In the case of mixed-use parcels, there can be multiple L2 land uses associated with the parcel.

Primary category (L1)
Sub-categories (L2)
Notes
residential
single_family
multi_family
Mobile homes are counted as “single family”.
We do not surface any distinction between detached and attached single-family homes.
commercial
retail
office
non_retail_attraction
“Non_retail_attraction” refers to any commercial site that does not easily fall into the first two, e.g. stadiums, theaters, commercial recreation, etc.
mixed_use
[any other L2]
A mixed use L1 can have a mix of any other defined L2s, such as:

• “multi_family” and “office”
• “retail” and “industrial”
industrial
industrial
N/A
civic_institutional
healthcare
education
civic_institutional
The “civic_institutional” L2 is a catch-all for any non-healthcare, non-education civic institutional land use, including military bases, administrative buildings, etc.
transportation_utilities
transportation_utilities
N/A
agriculture
agriculture
N/A
open_space
open_space
Includes parks, national forests, and other uncategorized open space.
other
other
Catch-all for known land uses that don’t fall into any other category, e.g. vacant land or construction sites.
unknown
unknown
Parcels/buildings have an “unknown” land use when we have neither disaggregate NOR aggregate ground truth for the tract they are located in.
Land Use Parcel Table

The land use parcel table contains a nationwide snapshot of parcels, their land use, their total built square footage, and their dwelling unit count. 

Replica models about 150 million disaggregate parcels nationwide. The built square footage is a modeled representation of total three-dimensional building space. There could be multiple buildings per parcel.

Field Name
Content Type
Sample Value
Description
parcel_id
Integer
7172757950704223187
Unique identifier for a parcel.
BLOCKGROUP
Text
010150014002
The US Census Bureau-assigned GEOID of the census blockgroup containing the parcel.
TRACT
Integer
01015001400
The US Census Bureau-assigned GEOID of the census tract containing the parcel.
parcel_sqft
Integer
9422
The square footage of the parcel geometry.
built_sqft
Integer
35870
The total, 3-dimensional built square footage across all floors of all buildings on the parcel. Each parcel could have more than one building.

Note: since we do not have ground truth 3D area per building, this value is modeled from parcel attributes, building footprints, and aggregate building area totals.
landuse_l1
Text
mixed_use
Top-level land use of the parcel.

Valid values are:
• residential
• commercial
• mixed_use
• civic_institutional
• industrial
• transportation_utilities
• agriculture
• open_space
• other
• unknown
landuse_l2_primary
Text
retail
Sub-category of the top-level (L1) land use. For L1s that do not have sub-categories, this value is the same as the L1.

Valid values are:
• single_family
• multi_family
• retail
• office
• non_retail_attraction
• healthcare
• education
• civic_institutional
• industrial
• transportation_utilities
• agriculture
• open_space
• other
• unknown
landuse_l2_secondary
Text
multi_family
Null for parcels that do not have a “mixed_use” L1. For mixed-use parcels, this is another subcategory, and shares the same possible values as landuse_l2_primary.
landuse_l2_tertiary
Text
[null]
See landuse_l2_secondary.
dwelling_units
Integer
3
Number of dwelling units on the parcel. It will be 0 for all non-residential, non-mixed-use parcels. It is not guaranteed to be >0 for residential/mixed-use parcels, since our parcel land use data is recent (2021) and the dwelling_units is modeled off of scaled 2010 Census block counts.
lat
Latitude
37.434211
Latitude of the parcel centroid, reported in decimal degrees.
lng
Longitude
-122.16801
Longitude of the parcel centroid, reported in decimal degrees.
geometry
Geography
POLYGON((-122.0426972 39.4026794, -122.0403184 39.4026725, -122.0402856 39.4062184, -122.0426579 39.4062214, -122.0426972 39.4026794))
Parcel geometry.
Off-street Parking Table

The lot (off-street) parking table covers public and commercial parking lots, and includes details about the number of spaces, rate structure, open hours, operators, and other lot attributes. This dataset does not include private and residential parking.

Field Name
Content Type
Sample Value
Description
lot_id
String
92181
Unique identifier for off-street parking lot.
lot_polygon
String
o{fsFrlqaSg@{DVMd@B`@lDw@V
Encoded representation of parking lot geometry.
lot_geometry
Geography
POLYGON((-105.2795 40.01708, -105.27863 40.01725, -105.27861 40.01744, -105.27868 40.01756, -105.27962 40.01736, -105.2795 40.01708))
WKT representation of parking lot geometry.
lot_centroid
Geography
POINT(-105.2790708 40.0173172)
WKT POINT (lng, lat) representation of parking lot centroid.
lot_sqft
Float
29614.596739210891
The area of the parking lot in square feet.
BLOCKID10
String
080130122043031
2010 census block ID of parking lot centroid.
num_spaces
Integer
97
The number of parking spaces in the parking lot.
num_handicap_spaces
Integer
3
The number of handicap parking spaces in the parking lot.
has_ev_charging
Boolean
false
Whether or not electric vehicle charging is available in the parking lot.
format
String
Surface
Physical description of parking lot (surface, subterranean, etc.).
type
String
Non-restricted
Access restrictions, e.g., non-restricted, or valet only.
category
String
Public Parking
General purpose of lot, e.g., public-parking, or venue parking.
rate_card
String
1 Hour: $3, 1.5 Hours: $5, 2 Hours: $7, 3.5 Hours: $10, 24 Hours: $20
Information on pricing, when available.
open_hours
String
Mon-Sun: 24 Hours
Information on operating hours, when available.
operator
String
State Automobile Mutual Insurance Company
The name of the operating company or agency, when available.
weekday_averages
Float, repeated (24)
[72.5911330049261, 71.6682464454976, 70.410377358490578, 68.995283018867909, 67.802816901408434, 65.77209302325582, 63.740566037735853, 63.325471698113191, 63.206572769953048, 62.74074074074074, …]
The average percent of available spaces by hour-of-day, for a typical weekday. Hours are reported in the local time zone in 24-hour time format. Values in this field range between 0 and 100.
weekend_averages
Float, repeated (24)
[71.659090909090921, 70.867469879518012, 68.883720930232585, 66.295454545454547, 64.709302325581433, 62.39325842696627, 60.560439560439569, 60.314606741573023, 60.22471910112359, 60.391304347826107, …]
The average percent of available spaces by hour-of-day, for a typical weekend. Hours are reported in the local time zone in 24-hour time format. Values in this field range between 0 and 100.
On-street Parking

The on-street parking table includes the number of parking spaces that are located along individual sections of a block. Coverage is only available in specific concentrated parts of an area (often high-density areas).

Field Name
Content Type
Sample Value
Description
segment_id
String
96cd1f19-f136-44fa-8dd8-8eb8119f75ff
A unique identifier for on-street parking segment.
osm_id
String
8917298_4
The corresponding OSM segment ID.
segment_polyline
String
ajreFz_njVPA
Encoded representation of parking segment geometry.
segment_geometry
Geography
LINESTRING(-122.465417 37.782247, -122.46541 37.782158)
WKT representation of parking segment geometry.
segment_centroid
Geography
POINT(-122.465413499998 37.7822025000001)
WKT POINT (lng, lat) representation of parking segment centroid.
BLOCKID10
String
060750402001008
2010 census block ID of parking segment centroid.
num_spaces
Integer
2
The number of parking spaces along the segment.
rate_card
String
15 Min (Mon-Fri; 9am-12pm): $0.25, 15 Min (Mon-Fri; 12pm-6pm): $0.56, 15 Min (Sat; 9am-12pm): $0.50, 15 Min (Sat; 12pm-3pm): $0.75, 15 Min (Sat; 3pm-6pm): $0.50, Mon-Sat (6pm-9am): Free, Sun: Free, Tue Every 1st & 3rd (7am-9am; Street Cleaning): No Parking
Information on pricing, when available.
weekday_averages
Float, repeated (24)
[77.192708333333343, 69.717171717171738, 69.840000000000018, 69.898477157360375, 70.7142857142857, 73.085227272727309, 74.131578947368439, 73.845360824742272, 67.418848167539267, 60.783783783783825, …]
The expected probability to find an open spot by hour-of-day, for a typical weekday. Hours are reported in the local time zone in 24-hour time format. Values in this field range between 0 and 100.
weekend_averages
Float, repeated (24)
[71.1076923076923, 66.183673469387756, 64.276315789473685, 62.65853658536583, 63.189873417721529, 67.925925925925952, 69.7831325301205, 68.777777777777771, 64.976470588235273, 60.674698795180724, …]
The expected probability to find an open spot by hour-of-day, for a typical weekend. Hours are reported in the local time zone in 24-hour time format. Values in this field range between 0 and 100.

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Planning for additional housing near transit? Implementing a Vision Zero program? Need better traffic counts? Moving away from traffic counts? In any case, we can help.

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