Baselight

2050 Transportation Mode Shares

County-Level Person and Vehicle Trip Data

@kaggle.thedevastator_2050_transportation_mode_shares

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About this Dataset

2050 Transportation Mode Shares


2050 Transportation Mode Shares

County-Level Person and Vehicle Trip Data

By [source]


About this dataset

The Geographically Disaggregated Vehicle Trip and Emission Mode Share Estimates in 2050 is an essential resource for understanding and assessing the current transportation system in order to promote greener and more efficient solutions as we transition into tomorrow. Using detailed measures of vehicle trips and emission mode shares by county, this dataset offers a comprehensive look at various transportation options, such as single occupancy vehicles (SOV), high occupancy vehicles (HOV) with 2+ occupants, short and long-distance trips, person trips, passenger trips, and vehicle trips. With this data we can identify current strengths of the transportation system while recognizing key opportunities to reduce environmental impact. By optimizing future transport options while reducing emissions along the way - we can create a better tomorrow here today

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How to use the dataset

This dataset provides detailed estimates of vehicle trips and emission mode shares in 2050 for each county, allowing users to gain a deep understanding of transportation patterns. With this dataset, users can compare different transportation modes and their associated emission impacts in order to identify the most efficient and environmentally-friendly travel options.

In order to utilize this dataset, users should be familiar with the various columns contained within. Each row contains information relating to one particular route between two counties and includes:

  • Origin County (O_County) - the county that a trip starts from
  • Destination County (D_County) - the destination county of that trip
  • Single Occupant Vehicle Person Trips (SOV_PK), High Occupancy Vehicle 2+ Occupants Person Trips (HOV2_PK), High Occupancy Vehicle 3+ occupants Person Trips (HOV3_PK) - indicates how many people took a particular type of vehicle on a given route
  • Single Occupant Vehicle Vehicle Trips (SOV_OP), High Occupancy Vehicle 2+ occupants trips(HOV2_OP) ,High Oc

Research Ideas

  • Analyzing the current trends of vehicle trips and emissions mode share in order to create strategies for reducing emissions through better trip efficiency and planning.
  • Developing predictive models to identify transportation modes that are most likely to reduce trip duration, maximize fuel economy, and minimize environmental impact.
  • Establishing targeted incentives or public policy changes related to travel mode choice that would encourage more efficient travel habits among citizens

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: 4a._Sharing.TREDISVehicleTripsModebyCounty_2050.csv

Column name Description
O_County Origin County (String)
D_County Destination County (String)
SOV_SDPTM_PK Single Occupancy Vehicle Short Distance Person Trips (Integer)
HOV2_SDPTM_PK High Occupancy Vehicle 2+ Short Distance Person Trips (Integer)
HOV3_SDPTM_PK High Occupancy Vehicle 3+ Short Distance Person Trips (Integer)
SOV_LDPTM_PK Single Occupancy Vehicle Long Distance Person Trips (Integer)
HOV2_LDPTM_PK High Occupancy Vehicle 2+ Long Distance Person Trips (Integer)
HOV3_LDPTM_PK High Occupancy Vehicle 3+ Long Distance Person Trips (Integer)
SOV_SDPTM_OP Single Occupancy Vehicle Short Distance Vehicle Trips (Integer)
HOV2_SDPTM_OP High Occupancy Vehicle 2+ Short Distance Vehicle Trips (Integer)
HOV3_SDPTM_OP High Occupancy Vehicle 3+ Short Distance Vehicle Trips (Integer)
SOV_LDPTM_OP Single Occupancy Vehicle Long Distance Vehicle Trips (Integer)
HOV2_LDPTM_OP High Occupancy Vehicle 2+ Long Distance Vehicle Trips (Integer)
HOV3_LDPTM_OP High Occupancy Vehicle 3+ Long Distance Vehicle Trips (Integer)

File: 4b._SharingUB.TREDISExternalPersonTripsbyCounty_2050.csv

Column name Description
O_County Origin County (String)
D_County Destination County (String)
SOV_PK Single Occupancy Vehicle Person Trips (Integer)
HOV2_PK High Occupancy Vehicle 2+ Person Trips (Integer)
HOV3_PK High Occupancy Vehicle 3+ Person Trips (Integer)
SOV_OP Single Occupancy Vehicle Vehicle Trips (Integer)
HOV2_OP High Occupancy Vehicle 2+ Vehicle Trips (Integer)
HOV3_OP High Occupancy Vehicle 3+ Vehicle Trips (Integer)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .

Tables

Vmt 4a

@kaggle.thedevastator_2050_transportation_mode_shares.vmt_4a
  • 6.1 KB
  • 58 rows
  • 5 columns
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CREATE TABLE vmt_4a (
  "county_code" DOUBLE,
  "county_name" VARCHAR,
  "vmt_tol" DOUBLE,
  "vmt_auto" DOUBLE,
  "vmt_truck" DOUBLE
);

Vmt 4b

@kaggle.thedevastator_2050_transportation_mode_shares.vmt_4b
  • 6.12 KB
  • 58 rows
  • 5 columns
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CREATE TABLE vmt_4b (
  "county_code" DOUBLE,
  "county_name" VARCHAR,
  "vmt_tol" DOUBLE,
  "vmt_auto" DOUBLE,
  "vmt_truck" DOUBLE
);

Vmt 5a

@kaggle.thedevastator_2050_transportation_mode_shares.vmt_5a
  • 6.1 KB
  • 58 rows
  • 5 columns
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CREATE TABLE vmt_5a (
  "county_code" DOUBLE,
  "county_name" VARCHAR,
  "vmt_tol" DOUBLE,
  "vmt_auto" DOUBLE,
  "vmt_truck" DOUBLE
);

Vmt 5b

@kaggle.thedevastator_2050_transportation_mode_shares.vmt_5b
  • 6.11 KB
  • 58 rows
  • 5 columns
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CREATE TABLE vmt_5b (
  "county_code" DOUBLE,
  "county_name" VARCHAR,
  "vmt_tol" DOUBLE,
  "vmt_auto" DOUBLE,
  "vmt_truck" DOUBLE
);

Vmt 6a

@kaggle.thedevastator_2050_transportation_mode_shares.vmt_6a
  • 6.1 KB
  • 58 rows
  • 5 columns
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CREATE TABLE vmt_6a (
  "county_code" DOUBLE,
  "county_name" VARCHAR,
  "vmt_tol" DOUBLE,
  "vmt_auto" DOUBLE,
  "vmt_truck" DOUBLE
);

Vmt 6b

@kaggle.thedevastator_2050_transportation_mode_shares.vmt_6b
  • 6.12 KB
  • 58 rows
  • 5 columns
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CREATE TABLE vmt_6b (
  "county_code" DOUBLE,
  "county_name" VARCHAR,
  "vmt_tol" DOUBLE,
  "vmt_auto" DOUBLE,
  "vmt_truck" DOUBLE
);

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