Replica · Schema

Commercial Freight Trips

One row of Replica's "Commercial Freight Trips" dataset. Derived from the published schema table at https://documentation.replicahq.com/docs/commercial-freight.

CompanyDataMobilityTransportationGeospatialUrban PlanningTravel Demand ModelingGovernmentAnalyticsData Platform

Properties

Name Type Description
activity_id stringnull 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
person_id stringnull A randomly assigned unique identifier for each person modeled within the synthetic population.
household_id stringnull A randomly assigned unique identifier for each household modeled within the synthetic population.
mode stringnull 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
travel_purpose stringnull All values in this table are: • COMMERCIAL: Trips by medium and heavy trucks for deliveries and other commercial purposes
tour_type stringnull Indicates what type of tour included this trip. Tours are travel events that start at one location and return to that same location. All values in this table are: • OTHER_HOME_BASED: Tours that starte
previous_activity_type stringnull The activity assigned to a synthetic person prior to starting travel. All values in this table are: • COMMERCIAL: Trips by medium and heavy trucks for deliveries and other commercial purposes
timezone stringnull Timezone of the trip’s start location, using standard tz naming conventions.
start_time stringnull Date and 24-hour time of trip start, reported as yyyy-mm-dd hh:mm:ss timezone.
start_local_hour integernull 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 23.
end_time stringnull Date and 24-hour time of trip end, reported as yyyy-mm-dd hh:mm:ss timezone.
end_local_hour integernull 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 23.
duration_minutes integernull Duration of trip in minutes, calculated as the difference between the trip start_time and end_time.
distance_miles numbernull Distance in miles measured along the trip route.
transit_route_ids stringnull NULL for this table
network_link_ids stringnull Unique ID assigned to the link (road segment) that the trip is associated with.
vehicle_type stringnull The vehicle type assigned to the vehicle of the synthetic trip. Valid values are: • MEDIUM_COMMERCIAL: Medium-duty commercial vehicles (14,000 - 26,000 lbs) • HEAVY _ COMMERCIAL: Heavy-duty commercial
vehicle_fuel_technology stringnull 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 avail
origin_bgrp stringnull The US Census Bureau-assigned FIPS code of the block group from which the trip originated.
origin_bgrp_lat numbernull Latitude of the geometric centroid for the origin block group, reported in decimal degrees, WGS 84.
origin_bgrp_lng numbernull Longitude of the geometric centroid for the origin block group, reported in decimal degrees, WGS 84.
destination_bgrp stringnull US Census Bureau-assigned FIPS of the block group in which the trip ended.
destination_bgrp_lat numbernull Latitude of the geometric centroid for the destination block group, reported in decimal degrees, WGS 84.
destination_bgrp_lng numbernull Longitude of the geometric centroid for the destination block group, reported in decimal degrees, WGS 84.
origin_land_use_l1 stringnull The primary land use category of the trip origin. Valid values are: • residential • commercial • mixed_use • industrial • civic_institutional • transportation_utilities • open space • agriculture • ot
origin_land_use_l2 stringnull 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
destination_land_use_l1 stringnull The primary land use category of the trip destination. Valid values are: • residential • commercial • mixed_use • industrial • civic_institutional • transportation_utilities • open space • agriculture
destination_land_use_l2 stringnull The secondary land use category of the trip destination. Valid values are: • single_family • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institut
origin_building_use_l1 stringnull The primary building use category of the trip origin. Valid values are: • residential • commercial • industrial • civic_institutional • transportation_utilities • open space • agriculture • other • un
origin_building_use_l2 stringnull 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_instituti
destination_building_use_l1 stringnull The primary building use category of the trip destination. Valid values are: • residential • commercial • industrial • civic_institutional • transportation_utilities • open space • agriculture • other
destination_building_use_l2 stringnull 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_inst
trip_type stringnull Indicates whether or not the trip started or ended inside or outside of the core model region. Valid values are: • II: core > core region • IE: core > donut region • EI: donut region > core region • E
View JSON Schema on GitHub

JSON Schema

replica-commercial-freight.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://raw.githubusercontent.com/api-evangelist/replica/refs/heads/main/json-schema/replica-commercial-freight.json",
  "title": "Commercial Freight Trips",
  "description": "One row of Replica's \"Commercial Freight Trips\" dataset. Derived from the published schema table at https://documentation.replicahq.com/docs/commercial-freight.",
  "x-source": "https://documentation.replicahq.com/docs/commercial-freight",
  "x-generated": "2026-08-02",
  "x-method": "derived",
  "x-status": "active",
  "type": "object",
  "properties": {
    "activity_id": {
      "type": [
        "string",
        "null"
      ],
      "description": "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 of trips: \u2022 Home > Work, \u2022 Work > Gym, \u2022 Shop > Eat, \u2022 Home > Starbucks drive-thru > Work",
      "examples": [
        "15323941267251300000"
      ]
    },
    "person_id": {
      "type": [
        "string",
        "null"
      ],
      "description": "A randomly assigned unique identifier for each person modeled within the synthetic population.",
      "examples": [
        "4339817784218880000"
      ]
    },
    "household_id": {
      "type": [
        "string",
        "null"
      ],
      "description": "A randomly assigned unique identifier for each household modeled within the synthetic population.",
      "examples": [
        "14408018579505000000"
      ]
    },
    "mode": {
      "type": [
        "string",
        "null"
      ],
      "description": "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. This table is limited to the following: \u2022 COMMERCIAL: Trips made by medium and heavy trucks",
      "examples": [
        "COMMERCIAL"
      ]
    },
    "travel_purpose": {
      "type": [
        "string",
        "null"
      ],
      "description": "All values in this table are: \u2022 COMMERCIAL: Trips by medium and heavy trucks for deliveries and other commercial purposes",
      "examples": [
        "COMMERCIAL"
      ]
    },
    "tour_type": {
      "type": [
        "string",
        "null"
      ],
      "description": "Indicates what type of tour included this trip. Tours are travel events that start at one location and return to that same location. All values in this table are: \u2022 OTHER_HOME_BASED: Tours that started and ended at home, excluding commutes e.g. Home > Shop > Eat > Home",
      "examples": [
        "OTHER_HOME_BASED"
      ]
    },
    "previous_activity_type": {
      "type": [
        "string",
        "null"
      ],
      "description": "The activity assigned to a synthetic person prior to starting travel. All values in this table are: \u2022 COMMERCIAL: Trips by medium and heavy trucks for deliveries and other commercial purposes",
      "examples": [
        "COMMERCIAL"
      ]
    },
    "timezone": {
      "type": [
        "string",
        "null"
      ],
      "description": "Timezone of the trip\u2019s start location, using standard tz naming conventions.",
      "examples": [
        "America/Los_Angeles"
      ]
    },
    "start_time": {
      "type": [
        "string",
        "null"
      ],
      "description": "Date and 24-hour time of trip start, reported as yyyy-mm-dd hh:mm:ss timezone.",
      "examples": [
        "2019-01-10 06:08:00 America/Los_Angeles"
      ]
    },
    "start_local_hour": {
      "type": [
        "integer",
        "null"
      ],
      "description": "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 23.",
      "examples": [
        "12"
      ]
    },
    "end_time": {
      "type": [
        "string",
        "null"
      ],
      "description": "Date and 24-hour time of trip end, reported as yyyy-mm-dd hh:mm:ss timezone.",
      "examples": [
        "2019-01-10 07:11:04 America/Los_Angeles"
      ]
    },
    "end_local_hour": {
      "type": [
        "integer",
        "null"
      ],
      "description": "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 23.",
      "examples": [
        "14"
      ]
    },
    "duration_minutes": {
      "type": [
        "integer",
        "null"
      ],
      "description": "Duration of trip in minutes, calculated as the difference between the trip start_time and end_time.",
      "examples": [
        "63"
      ]
    },
    "distance_miles": {
      "type": [
        "number",
        "null"
      ],
      "description": "Distance in miles measured along the trip route.",
      "examples": [
        "10.79997335"
      ]
    },
    "transit_route_ids": {
      "type": [
        "string",
        "null"
      ],
      "description": "NULL for this table"
    },
    "network_link_ids": {
      "type": [
        "string",
        "null"
      ],
      "description": "Unique ID assigned to the link (road segment) that the trip is associated with.",
      "examples": [
        "10541610554341416382"
      ]
    },
    "vehicle_type": {
      "type": [
        "string",
        "null"
      ],
      "description": "The vehicle type assigned to the vehicle of the synthetic trip. Valid values are: \u2022 MEDIUM_COMMERCIAL: Medium-duty commercial vehicles (14,000 - 26,000 lbs) \u2022 HEAVY _ COMMERCIAL: Heavy-duty commercial vehicles (>26,00 lbs) Note: If values are NULL, this means that this data is not available for the region yet but we hope to have it soon.",
      "examples": [
        "MEDIUM_COMMERCIAL"
      ]
    },
    "vehicle_fuel_technology": {
      "type": [
        "string",
        "null"
      ],
      "description": "The fuel technology assigned to the vehicle of the synthetic trip. Valid values are: \u2022 ICE \u2022 BEV \u2022 FCV \u2022 PHEV \u2022 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.",
      "examples": [
        "ICE"
      ]
    },
    "origin_bgrp": {
      "type": [
        "string",
        "null"
      ],
      "description": "The US Census Bureau-assigned FIPS code of the block group from which the trip originated.",
      "examples": [
        "410510010004"
      ]
    },
    "origin_bgrp_lat": {
      "type": [
        "number",
        "null"
      ],
      "description": "Latitude of the geometric centroid for the origin block group, reported in decimal degrees, WGS 84.",
      "examples": [
        "45.492294"
      ]
    },
    "origin_bgrp_lng": {
      "type": [
        "number",
        "null"
      ],
      "description": "Longitude of the geometric centroid for the origin block group, reported in decimal degrees, WGS 84.",
      "examples": [
        "-122.65334"
      ]
    },
    "destination_bgrp": {
      "type": [
        "string",
        "null"
      ],
      "description": "US Census Bureau-assigned FIPS of the block group in which the trip ended.",
      "examples": [
        "410510079001"
      ]
    },
    "destination_bgrp_lat": {
      "type": [
        "number",
        "null"
      ],
      "description": "Latitude of the geometric centroid for the destination block group, reported in decimal degrees, WGS 84.",
      "examples": [
        "45.557407"
      ]
    },
    "destination_bgrp_lng": {
      "type": [
        "number",
        "null"
      ],
      "description": "Longitude of the geometric centroid for the destination block group, reported in decimal degrees, WGS 84.",
      "examples": [
        "-122.54931"
      ]
    },
    "origin_land_use_l1": {
      "type": [
        "string",
        "null"
      ],
      "description": "The primary land use category of the trip origin. Valid values are: \u2022 residential \u2022 commercial \u2022 mixed_use \u2022 industrial \u2022 civic_institutional \u2022 transportation_utilities \u2022 open space \u2022 agriculture \u2022 other \u2022 unknown",
      "examples": [
        "residential"
      ]
    },
    "origin_land_use_l2": {
      "type": [
        "string",
        "null"
      ],
      "description": "The secondary land use category of the trip origin. Valid values are: \u2022 single_family \u2022 multi_family \u2022 office \u2022 retail \u2022 non_retail_attraction \u2022 education \u2022 healthcare \u2022 military \u2022 civic_institutional \u2022 \u200b\u200btransportation_utilities \u2022 open_space \u2022 agriculture \u2022 other \u2022 unknown",
      "examples": [
        "single_family"
      ]
    },
    "destination_land_use_l1": {
      "type": [
        "string",
        "null"
      ],
      "description": "The primary land use category of the trip destination. Valid values are: \u2022 residential \u2022 commercial \u2022 mixed_use \u2022 industrial \u2022 civic_institutional \u2022 transportation_utilities \u2022 open space \u2022 agriculture \u2022 other \u2022 unknown",
      "examples": [
        "commercial"
      ]
    },
    "destination_land_use_l2": {
      "type": [
        "string",
        "null"
      ],
      "description": "The secondary land use category of the trip destination. Valid values are: \u2022 single_family \u2022 multi_family \u2022 office \u2022 retail \u2022 non_retail_attraction \u2022 education \u2022 healthcare \u2022 military \u2022 civic_institutional \u2022 \u200b\u200btransportation_utilities \u2022 open_space \u2022 agriculture \u2022 other \u2022 unknown",
      "examples": [
        "non_retail_attraction"
      ]
    },
    "origin_building_use_l1": {
      "type": [
        "string",
        "null"
      ],
      "description": "The primary building use category of the trip origin. Valid values are: \u2022 residential \u2022 commercial \u2022 industrial \u2022 civic_institutional \u2022 transportation_utilities \u2022 open space \u2022 agriculture \u2022 other \u2022 unknown",
      "examples": [
        "residential"
      ]
    },
    "origin_building_use_l2": {
      "type": [
        "string",
        "null"
      ],
      "description": "The secondary building use category of the trip origin. Valid values are: \u2022 single_family \u2022 multi_family \u2022 office \u2022 retail \u2022 non_retail_attraction \u2022 education \u2022 healthcare \u2022 military \u2022 civic_institutional \u2022 \u200b\u200btransportation_utilities \u2022 open_space \u2022 agriculture \u2022 other \u2022 unknown",
      "examples": [
        "single_family"
      ]
    },
    "destination_building_use_l1": {
      "type": [
        "string",
        "null"
      ],
      "description": "The primary building use category of the trip destination. Valid values are: \u2022 residential \u2022 commercial \u2022 industrial \u2022 civic_institutional \u2022 transportation_utilities \u2022 open space \u2022 agriculture \u2022 other \u2022 unknown",
      "examples": [
        "commercial"
      ]
    },
    "destination_building_use_l2": {
      "type": [
        "string",
        "null"
      ],
      "description": "The secondary building use category of the trip destination. Valid values are: \u2022 single_family \u2022 multi_family \u2022 office \u2022 retail \u2022 non_retail_attraction \u2022 education \u2022 healthcare \u2022 military \u2022 civic_institutional \u2022 \u200b\u200btransportation_utilities \u2022 open_space \u2022 agriculture \u2022 other \u2022 unknown",
      "examples": [
        "non_retail_attraction"
      ]
    },
    "trip_type": {
      "type": [
        "string",
        "null"
      ],
      "description": "Indicates whether or not the trip started or ended inside or outside of the core model region. Valid values are: \u2022 II: core > core region \u2022 IE: core > donut region \u2022 EI: donut region > core region \u2022 EE: donut region > donut region",
      "examples": [
        "II"
      ]
    }
  },
  "additionalProperties": true
}