Places

Replica Places is a high-fidelity simulation that accurately represents the population and its travel patterns.

Customers use Places data to improve planning and monitoring of transportation and land use systems, and to make decisions related to the ways people interact with the built environment.

Places is the world’s only calibrated travel demand model delivered at nationwide scale offered via software-as-a-service (SaaS). It is delivered in a pioneering privacy-sensitive approach.

The Places dataset is a complete trip and population table for a typical weekday and typical weekend day for the selected season and region. Places data is accessible through Replica’s web-based platform and through direct database access.

Replica Places megaregions cover geographies that include between 10 million and 50 million residents. Each data table is cross-tabular, meaning it is linked to other tables through common IDs, including person_id (the person making the trip), activity_id (the trip), or route_id (transit routes or network links used for a trip).

Data can be filtered on any single attribute or combination of attributes. Each row of data in the simulation output reflects a single trip, with characteristics about the trip (e.g., origin, destination, mode, purpose, routing, duration) and trip taker (e.g., age, race/ethnicity, income, home location, work/school location).

Trip Table

The Places trip table contains the unique records and associated attributes for the trips between origin and destination points. Trip data represents the modeled output for a typical Thursday or Saturday during a three-month Replica season.

Field Name	Content Type	Sample Value	Description
activity_id	String	15323941267251300000	A randomly assigned unique identifier defined for each trip. A trip is defined as travel between two locations with a discrete purpose at the origin and destination. Some intermediate stops with short dwell time may be captured within a single trip. Criteria for this dwell time may vary. Examples: • Home > Work • Work > Gym • Shop > Eat • Home > Starbucks drive-thru > Work
person_id	String	4339817784218880000	A randomly assigned unique identifier for each person modeled within the synthetic population.
household_id	String	14408018579505000000	A randomly assigned unique identifier for each household modeled within the synthetic population.
mode	String	PUBLIC_TRANSIT	The primary transportation mode used for the trip. A trip is often made up of multiple travel modes, such as a journey to work that includes a walk to a rail station followed by a subway ride. In this case two modes were used by the traveler during their trip, walking and public transit. Only the primary mode of travel across a set of trip segments is included. The primary mode is determined using the following ranking: 1) Public transit, 2) Driving (private auto)/Auto passenger/Taxi/TNC, 3) Biking, 4) Walking. Valid values are: • BIKING:Trips made by people biking. Replica does not model scooter trips and does not separate out e-bike trips • CARPOOL:Trips made by passengers in private auto vehicles. Sum Carpool and Private Auto trips to get the total number of people who traveled in private autos • COMMERCIAL:Trips made by medium and heavy trucks • ON_DEMAND_AUTO:Trips made by passengers in a Taxi or using a Transportation Network Company (TNC) such as Uber or Lyft • OTHER_TRAVEL_MODE • PRIVATE_AUTO:Trips made by drivers in private auto vehicles • PUBLIC_TRANSIT:Trips that primarily used public transit, such as buses, light rail, and subways • WALKING:Trips made by people walking
travel_purpose	String	WORK	The destination activity assigned to a synthetic person. For example, if a person is traveling to work, the purpose of the trip is ‘Work,’ whereas if a person is traveling to a restaurant the activity is ‘Eat.’ Valid values are: • COMMERCIAL: Trips by medium and heavy trucks for deliveries and other commercial purposes • EAT: Trips to restaurants • HOME: Trips where the destination is the person’s home • LODGING: Trips by visitors to overnight accommodation such as a hotel • MAINTENANCE: Trips to hairdressers, auto shops, banks, and a variety of other locations • OTHER: Catch-all category for all other trips not assigned any of the purposes listed herein • RECREATION: Trips to recreational destinations such as parks and swimming pools REGION_DEPARTURE: Trips by visitors to a port-of-exit, such as an airport, or major train station • SCHOOL: Trips to schools such as community colleges and universities • SHOP: Trips to stores and other commercial centers • SOCIAL: Trips for social activities • STAGE: Trips made by non-residents that start and end outside the region • WORK: Trips where the destination is the person’s workplace
tour_type	String	COMMUTE	Indicates what type of tour that included this trip. Tours are travel events that start at one location and return to that same location. For example, when a person travels to work and returns home, this a home-based work tour. A tour can have two or more trips. Valid options are: • WORK_BASED: Tours that started and ended at work, excluding commute. For example: Work > Eat > Work • COMMUTE: Tours from home to work and back home. Also includes intermediate stops at other destinations. For example: Home > Recreation > Work > Shop > Home • OTHER_HOME_BASED: Tours that started and ended at home, excluding commutes. For example: Home > Shop > Eat > Home
previous_activity_type	String	HOME	The activity assigned to a synthetic person prior to starting travel. Valid values are: • COMMERCIAL: Trips by medium and heavy trucks for deliveries and other commercial purposes • EAT: Trips to restaurants • HOME: Trips where the destination is the person’s home • LODGING: Trips by visitors to overnight accommodation such as a hotel • MAINTENANCE: Trips to hairdressers, auto shops, banks, and a variety of other locations • OTHER: Catch all category for all other trips not assigned any of the purposes listed herein • RECREATION: Trips to recreational destinations such as parks and swimming pools • REGION_DEPARTURE: Trips by visitors to a port-of-exit, such as an airport, or major train station • SCHOOL: Trips to schools such as community colleges and universities • SHOP: Trips to stores and other commercial centers • SOCIAL: Trips for social activities • STAGE: Trips made by non-residents that start and end outside the region • WORK: Trips where the destination is the person’s workplace
start_time	Time	2019-01-10 06:08:00 America/Los_Angeles	Date and 24-hour time of trip start, reported as yyyy-mm-dd hh:mm:ss timezone.
start_local_hour	Integer	12	Hour of day that the trip started, reported in the local time zone in 24-hour time format. Values in this field range between 0 and 24.
end_time	Time	2019-01-10 07:11:04 America/Los_Angeles	Date and 24-hour time of trip end, reported as yyyy-mm-dd hh:mm:ss timezone
end_local_hour	Integer	14	Hour of day that the trip ended, reported in the local time zone in 24-hour time format. Values in this field range between 0 and 24.
duration_minutes	Integer	63	Duration of trip in minutes, calculated as the difference between the trip start_time and end_time.
distance_miles	Float	10.7999733493896	Distance in miles measured along the trip route.
transit_route_ids	String	Capital Metro:803	The ID of the transit route used for a trip. Only applies to trips with mode as “PUBLIC_TRANSIT.” Transit Agency name and Route ID from agency’s GTFS feed.
network_link_ids	String	10541610554341416382	Unique ID assigned to the link (road segment) that the trip is associated with.
vehicle_type	String (Len 20)	PASSENGER_CAR	The vehicle type assigned to the vehicle of the synthetic trip.  Valid values are: • PASSENGER_CAR • MEDIUM_COMMERCIAL: Medium-duty commercial vehicles (8,500 – 14,000 lbs) • HEAVY_ COMMERCIAL: Heavy-duty commercial vehicles (14,001 lbs >) • MOTORCYCLE Note: If values are NULL, this means that this data is not available for the region yet but we hope to have it soon.
vehicle_fuel_type	String	DIESEL	The fuel type assigned to the vehicle of the synthetic trip. Valid values are: • GASOLINE • DIESEL • ELECTRIC • NATURAL_GAS • HYDROGEN • UNKNOWN_FUEL_TYPE Note: If values are NULL, this means that this data is not available for the region yet but we hope to have it soon.
vehicle_fuel_technology	String	ICE	The fuel technology assigned to the vehicle of the synthetic trip. Valid values are: • ICE • BEV • FCV • PHEV • UNKNOWN_FUEL_TECHNOLOGY Note: If values are NULL, this means that this data is not available for the region yet but we hope to have it soon.
origin_bgrp	String (Len 12)	410510010004	The US Census Bureau-assigned FIPS code of the block group from which the trip originated.
origin_bgrp_lat	Float	45.492294	Latitude of the geometric centroid for the origin block group, reported in decimal degrees, WGS 84
origin_bgrp_lng	Float	-122.65334	Longitude of the geometric centroid for the origin block group, reported in decimal degrees, WGS 84.
destination_bgrp	String (Len 12)	410510079001	US Census Bureau-assigned FIPS of the block group in which the trip ended.
destination_bgrp_lat	Float	45.557407	Latitude of the geometric centroid for the destination block group, reported in decimal degrees, WGS 84.
destination_bgrp_lng	Float	-122.54931	Longitude of the geometric centroid for the destination block group, reported in decimal degrees, WGS 84.
origin_land_use_l1	String	residential	The primary land use category of the trip origin. Valid values are: • residential • commercial • mixed_usel • industrial • civic_institutional • transportation_utilities • open space • agriculture • other • unknown Note: This attribute is currently only available for Cal-Nev and will be available for other megaregions in the future.
origin_land_use_l2	String	single_family	The secondary land use category of the trip origin. Valid values are: • single_family • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institutional • transportation_utilities • open_space • agriculture • other • unknown Note: This attribute is currently only available for Cal-Nev and will be available for other megaregions in the future.
destination_land_use_l1	String	Commercial	The primary land use category of the trip destination. Valid values are: • residential • commercial • mixed_use • industrial • civic_institutional • transportation_utilities • open space • agriculture • other • unknown Note: This attribute is currently only available for Cal-Nev and will be available for other megaregions in the future.
destination_land_use_l2	String	non_retail_attraction	The secondary building use category of the trip destination. Valid values are: • single_family • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institutional • transportation_utilities • open_space • agriculture • other • unknown Note: This attribute is currently only available for Cal-Nev and will be available for other megaregions in the future.
origin_building_use_l1	String	residential	The primary building use category of the trip origin. Valid values are: • residential • commercial • industrial • civic_institutional • transportation_utilities • open space • agriculture • other • unknown Note: This attribute is currently only available for Cal-Nev and will be available for other megaregions in the future.
origin_building_use_l2	String	single_family	The secondary building use category of the trip origin. Valid values are: • single_family • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institutional • transportation_utilities • open_space • agriculture • other • unknown Note: This attribute is currently only available for Cal-Nev and will be available for other megaregions in the future.
destination_building_use_l1	String	commercial	Valid values are: • residential • commercial • industrial • civic_institutional • transportation_utilities • open space • agriculture • other • unknown Note: This attribute is currently only available for Cal-Nev and will be available for other megaregions in the future.
destination_building_use_l2	String	non_retail_attraction	The secondary building use category of the trip destination. Valid values are: • single_family • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institutional • transportation_utilities • open_space • agriculture • other • unknown Note: This attribute is currently only available for Cal-Nev and will be available for other megaregions in the future.

Population Table

The Places population table contains records for each person modeled within the synthetic population produced by Replica. Each record includes a set of attributes describing the person’s demographic and socioeconomic characteristics and the block-group assignment for their work, home, and school locations.

Population data represents the modeled output for each three-month Replica season.

Model inputs include the following products from the U.S. Census Bureau: American Community Survey 5-year estimates, TIGER/Line data, LEHD Origin-Destination Employment Statistics Data, and ACS Public Use Microdata Sample (PUMS), the Census Transportation Planning Products Program (CTPP) as well as data from the National Center for Education Statistics, US Department of Education, building data and proprietary parcel data and points of interest data.

Field Name	Content Type	Sample Value	Description
household_id	String	14102589208980400000	Unique identifier of a household.
person_id	String	14408018579505000000	Unique identifier of a person.
BLOCKGROUP	String	410050201001	The US Census Bureau-assigned FIPS code of the census block group containing the housing unit based on the decennial census 2010.
BLOCKGROUP _work	String	410050227021	The US Census Bureau-assigned FIPS code of the census block group containing the person’s workplace (for employed persons only).
BLOCKGROUP _school	String	410510063001	The US Census Bureau-assigned FIPS code of the census block group containing the person’s school (for students only).
TRACT	String	41005020100	The US Census Bureau-assigned FIPS code of the census tract containing the housing unit.
TRACT_work	String	41005022702	The US Census Bureau-assigned FIPS code of the census tract containing the person’s workplace (for employed persons only).
TRACT_school	String	41051006300	The US Census Bureau-assigned FIPS code of the census tract containing the person’s school (for students only).
age_group	Text	18_24	Age range a person falls within. Value ranges include: • lte_4 • 5_14 • 15_17 • 18_24 • 25_34 • 35_64 • 65_plus
age	Integer	19	Age, in years old, assigned to the person.
sex	Text	M	Sex assigned to the person, male (M) or female (F).
race	Text	white	Race assigned to the person. Valid values include: • american_indian_alaska_native • asian • black_african_american • hawaiin_pacific • other_race_alone • two_or_more_races • white
ethnicity	Text	not_hispanic_or_latino	Ethnicity of a person. Valid values include: • not_hispanic_or_latino • hispanic_or_latino
individual_income_group	Text	0_20000	Range a person’s annual income falls within. Value ranges include: • lte_0 • 0_20000 • 20000_40000 • 40000_80000 • 80000_100000 • 100000_plus
individual_income	Integer	7500	Total annual income of a person.
employment	Text	employed	Employment status of a person. Valid values include: • employed • notinlf • under_16 • unemployed
education	Text	k_12	Education level of a person. Valid values include: • advanced_degree • bachelors_degree • high_school • k_12 • no_school • some_college • under_3
school_grade_attending	Text	not_attending_school	Current grade level assigned to a person. Valid values include: • graduate • kindergarten • not_attending_school • school • undergraduate
industry	Text	naics51	Industry sector a person works within, reported in NAICS code. For a list of NAICS codes see: Search NAICS Codes by Industry
household_role	Text	child	The role of the person in the household. Valid values include: • child • GQ • head_of_household • immobile_GQ • non_relative • relative • spouse
subfamily_number	Integer	1	Number assigned to the subfamily that the person belongs to in a household.
subfamily_relationship	Text	parent_with_child	Relationship of a person within the subfamily. Valid values include: • child • husband/wife_no_children • husband/wife_with_children • parent_with_child • N/A
commute_mode	Text	driving	Typical commute mode used by a person. Valid values include: • biking • carpool • driving • not_working • transit • walking • worked_from_home
tenure	Text	owner	Tenure of household, owner, renter, or GQ.
migration	String	same_house	Indicates mobility status (if the household has lived in the same unit 1 year ago). Valid values include: • N/A (Lived in house <1 year; Also applies to group quarters) • same_house (non-movers) • outside_us • within_us
household_size	Text	3_person	Number of persons that make up the household. Valid values include: • 1_person • 1_person_group_quarters • 2_person • 3_person • 4_person • 5_person • 6_person • 7_plus_person
household_income_group	Text	125000_plus	Income range that the total income of the household falls within. Valid values include: • lte_10000 • 10000_40000 • 40000_75000 • 75000_125000 • 125000_plus
household_income	Integer	408500	Total income of the household.
family_structure	Text	married_couple	Household family structure. Valid values include: • family_single • GQ • living_alone • married_couple • nonfamily_single
vehicles	Text	3_plus	Number of vehicles owned by a household. Valid values include: • zero • 1 • 2 • 3_plus • GQ
building_type	String	mobile	Indicates the unit in the household’s structure. Valid values include: • mobile (mobile home, trailer, boat, RV, or van) • single_family (one-family home, attached or detached) • several_units (2-4 apartments) • multiple_units (5+ apartments) • GQ_structure (group quarters)
resident_type	Text	core	Indicates whether or not the person is a resident of the region. Valid values include: • Core: A resident of the core region • Donut: A resident of the surrounding counties who work or go to school in the core region • Visitor: A person who does not normally reside in the core or donut region who enters and/or exits the region via a ‘port of entry’ (airport, major train station)
language	String	english	Indicates the household language. Valid values include: • english • spanish • indo-european • asian-pacific • other • GQ_language
lat	Latitude	37.434211	Latitude of the block group centroid representing the home location, reported in decimal degrees, WGS 84.
lng	Longitude	-122.16801	Longitude of the block group centroid representing the home location, reported in decimal degrees, WGS 84.
lat_work	Latitude	37.434211	Latitude of the block group centroid representing the work location, reported in decimal degrees, WGS 84.
lng_work	Longitude	-122.16801	Longitude of the block group centroid representing the work location, reported in decimal degrees, WGS 84.
lat_school	Latitude	37.434211	Latitude of the block group centroid representing the school location, reported in decimal degrees, WGS 84.
lng_school	Longitude	-122.16801	Longitude of the block group centroid representing the school location, reported in decimal degrees, WGS 84 (for students only).

Network Volumes Table

The Places network volumes table contains total estimated trip counts by mode for each network link within a given region. The trip counts represent the amount of traffic across the link on a typical Thursday during the given Replica season.

Network links (or, edges) are the streets or pathways upon which vehicles or people can travel. A single street is typically split into multiple segments, with the split points set at street intersections. Two way streets are modeled with separate network links, one for each direction of travel.

Arterial network links include freeways, highways, primary, secondary, and tertiary segments. The functional classification defined for the segments (freeways, highways, primary, secondary, and tertiary) are derived from OpenStreetMap street data. Most residential streets and service lanes are excluded from this dataset.

Field Name	Content Type	Sample Value	Description
stableEdgeId	String	16380650950925800000	A unique identifier for the network link. These are consistent across seasons. This stable value facilitates comparisons between multiple seasons of Places data.
startLat	Float	34.369077929163232	The latitude of the starting point of the network link, stored in decimal degrees.
startLon	Float	-101.76221098964388	The longitude of the starting point of the network link, stored in decimal degrees.
endLat	Float	34.368660324111438	The latitude of the end point of the network link, stored in decimal degrees.
endLon	Float	-101.765637511737	The longitude of the end point of the network link, stored in decimal degrees.
streetName	String	Sunrise Passage	The common name of the network link if available. Matches the name assigned by OpenStreetMap.
highway	String	secondary_link	The classification of the link based on OpenStreetMap data.
volume	Integer	323175	Total estimated trip counts on network link within the selected region.

Land Use Table

The Places land use table contains a nationwide snapshot of aggregated parcels, their land use, their total built square footage, and their dwelling unit count for the Fall 2021 season. Please note that 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
geo_fips	Integer	36005014100	The FIPS code of the corresponding row’s geography, defined by the US Census Bureau or assigned by Replica for custom geography uploads.
name	String	141 (Bronx, NY)	The name of the corresponding row’s geography, as defined by the US Census Bureau or specified by the user for custom geography uploads.
dwelling_units_[category]	Integer	3	The number of dwelling units in the corresponding row’s geography, assigned to single_family, multi_family, or mixed_use buildings.
land_area_total	Integer	1259327	The total area for all parcels in your selected geographies in square feet.
land_area_[category]	Integer	15374	The total parcel area for each land use, in square feet. Mixed-use parcels are assigned to their estimated primary use. Primary land use categories are: • residential single family • residential multifamily • commercial retail • commercial office • commercial non-retail attraction • mixed use residential • mixed use commercial • mixed use industrial • mixed use other • industrial • civic healthcare • civic education • civic other • transportation utilities • open space • agriculture • other • unknown
building_area_total	Integer	2965985	The total area for all buildings in your selected geographies in square feet.
building_area_[category]	Integer	75022	The total building area for each building use, in square feet. There are no mixed-use fields – mixed-use buildings have their built area split across all estimated uses. Building use categories are: • residential single family • residential multifamily • commercial retail • commercial office • commercial non-retail attraction • industrial • civic healthcare • civic education • civic other • transportation utilities • open space • agriculture • other • unknown

Places

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