Datasets:

alinutzal
/

CA-HVF2017

+cff-version: 1.2.0
+title: "CA-HVF2025: California Household Vehicle Fleet Dataset"
+authors:
+  - family-names: Lazar
+    given-names: Alina
+  - family-names: Panjaitan
+    given-names: Naomi
+  - family-names: Jin
+    given-names: Ling
+  - family-names: Brown
+    given-names: Caitlin
+  - family-names: Spurlock
+    given-names: Anna
+  - family-names: Wenzel
+    given-names: Thomas
+version: "2025"
+doi: ""
+url: "https://huggingface.co/datasets/alinutzal/CA-HVF2025"
+license: "CC-BY-4.0"
+message: "If you use this dataset, please cite it using the metadata above."
+abstract: "CA-HVF2025 is a statewide synthetic vehicle fleet dataset containing 13 million households and over 15 million vehicles across California. This dataset provides detailed household-level vehicle ownership information, including vehicle type, powertrain, vintage, and body type, generated using a Multiple Discrete Continuous Extreme Value (MDCEV) model and a geographically explicit synthetic population."

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+Creative Commons Attribution 4.0 International Public License
+By exercising the Licensed Rights, You accept and agree to be bound by the terms and conditions of this Creative Commons Attribution 4.0 International Public License ("Public License").
+You may obtain a copy of the License at:
+    https://creativecommons.org/licenses/by/4.0/
+Unless required by applicable law or agreed to in writing, the licensor provides the Licensed Material on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the full text of the license at the link above.

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 ---
-license: apache-2.0
 ---

+[![License: CC BY 4.0](https://img.shields.io/badge/License-CC%20BY%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by/4.0/)
+# CA-HVF2025: California Household Vehicle Fleet Dataset (2025)
+A statewide synthetic vehicle fleet dataset containing 13 million households and over 15 million vehicles across California. This dataset provides detailed household-level vehicle ownership information, including vehicle type, powertrain, vintage, and body type, generated using a Multiple Discrete Continuous Extreme Value (MDCEV) model and a geographically explicit synthetic population.
+This dataset is designed to support transportation modeling, energy/emissions analysis, policy scenario evaluation, EV adoption studies, and agent-based simulations.
 ---
+## Overview
+Modern transportation models require realistic household vehicle fleets, but privacy constraints limit access to micro-level vehicle ownership data.
+CA-HVF2025 fills this gap by providing a statewide, publicly available, synthetic, validated representation of vehicle ownership across all California census tracts.
+The dataset includes:
+- Household characteristics (demographics, size, income)
+- Detailed vehicle fleets for each household
+- Geographic attributes at the census-tract level
+- Location-based accessibility and built environment indicators
+All values are synthetic but statistically consistent with real-world data.
 ---
+# Data Dictionary: Input
+Below is the full set of household-level variables included in the CA-HVF2025 dataset.
+---
+## Household Demographics
+| Variable | Description | Values |
+|---------|-------------|--------|
+| child | Household has at least one child | 0, 1 |
+| HOUSEID | Household ID | numeric |
+| HHSIZE | Household size | numeric |
+| HHSIZE1 | Household size = 1 | 0, 1 |
+| HHSIZE2 | Household size = 2 | 0, 1 |
+| HHSIZE3 | Household size = 3 | 0, 1 |
+| HHSIZE4 | Household size = 4 or more | 0, 1 |
+| NUMADLT | Number of adults | numeric |
+| NUMCHILD | Number of children | numeric |
+| NUM_WORKERS | Number of workers in household | numeric |
+| retired | Household has at least one retiree | 0, 1 |
+---
+## Race / Ethnicity Indicators
+| Variable | Description | Values |
+|---------|-------------|--------|
+| hhwhite | Householder identifies as White | 0, 1 |
+| hhasian | Householder identifies as Asian | 0, 1 |
+| hhblack | Householder identifies as Black or African American | 0, 1 |
+| hhothers | Householder identifies as another race (not White/Black/Asian) | 0, 1 |
+---
+## Income Categories
+| Variable | Description | Values |
+|---------|-------------|--------|
+| income1 | Income < $25,000 | 0, 1 |
+| income2 | $25,000 ≤ income < $50,000 | 0, 1 |
+| income3 | $50,000 ≤ income < $75,000 | 0, 1 |
+| income4 | $75,000 ≤ income < $100,000 | 0, 1 |
+| income5 | Income ≥ $100,000 | 0, 1 |
+---
+## Life Cycle Categories
+| Variable | Description | Values |
+|---------|-------------|--------|
+| LIF_CYC1 | 1 adult, no children | 0, 1 |
+| LIF_CYC2 | 2+ adults, no children | 0, 1 |
+| LIF_CYC3 | 1 adult + child age 0–5 | 0, 1 |
+| LIF_CYC4 | 2+ adults + child age 0–5 | 0, 1 |
+| LIF_CYC5 | 1 adult + child age 6–15 | 0, 1 |
+| LIF_CYC6 | 2+ adults + child age 6–15 |  0, 1 |
+| LIF_CYC7 | 1 adult + child age 16–21 | 0, 1 |
+| LIF_CYC8 | 2+ adults + child age 16–21 | 0, 1 |
+| LIF_CYC9 | Household has at least one senior (65+) | 0, 1 |
+| LIF_CYC10 | Household has 2+ seniors (65+) | 0, 1 |
+---
+## Housing & Tenure
+| Variable | Description | Values |
+|---------|-------------|--------|
+| hhown | Household owns home | 0, 1 |
+| perrent | % rental housing in tract | numeric |
+| perrent1 | Rental housing < 25% | 0, 1 |
+| perrent2 | Rental housing 25–45% | 0, 1 |
+| perrent3 | Rental housing > 45% | 0, 1 |
+---
+## Work Status
+| Variable | Description | Values |
+|---------|-------------|--------|
+| work0 | No members employed | 0, 1 |
+| work1 | 1 worker in household | 0, 1 |
+| work2 | 2 workers in household | 0, 1 |
+| work3 | 3+ workers in household | 0, 1 |
+---
+## Geographic Identifiers
+| Variable | Description | Values |
+|---------|-------------|--------|
+| county_fips | County FIPS code | numeric |
+| county_name | County name | character |
+| state_fips | State FIPS code | numeric |
+| state_name | State name | character |
+| tractid | Census tract ID | numeric |
+---
+## Transit & Accessibility Variables
+| Variable | Description | Values |
+|---------|-------------|--------|
+| emp_zscore | Standardized jobs reachable by 30-min transit | numeric |
+| tractmean | Average number of jobs reachable from tract | numeric |
+| tas_acres | Total acres accessible via 30-minute transit | numeric |
+| tci | Transit Connectivity Index (0–100) | 0–100 |
+| hi_tps | AllTransit Performance Score ≥ 8 | 0, 1 |
+| transit_performance_score | Transit Performance Score (0–10) | 0–10 |
+---
+## Built Environment Variables
+| Variable | Description | Values |
+|---------|-------------|--------|
+| job_density | Jobs per km² | numeric |
+| pop_density | People per km² | numeric |
+| res_density | Housing units per acre (unprotected) | numeric |
+| pct_ag_land | % agricultural land | numeric |
+| pct_water | % water area | numeric |
+| urban_cbsa | Census tract is urban | 0, 1 |
+| walkndx | Walkability index (0–20) | 0–20 |
+---
+## Log-Transformed Built Environment / Transit Indicators
+| Variable | Description | Values |
+|---------|-------------|--------|
+| log_job_density | Log(job_density) | numeric |
+| log_job_above8 | Log(job_density) > 8 | 0, 1 |
+| log_job_below4 | Log(job_density) < 4 | 0, 1 |
+| log_pop_density | Log(pop_density) | numeric |
+| log_pop_above9 | Log(pop_density) > 9 | 0, 1 |
+| log_pop_below3 | Log(pop_density) < 3 | 0, 1 |
+| log_res_density | Log(res_density) | numeric |
+| log_pct_agland | Log(pct_ag_land) | numeric |
+| log_pct_water | Log(pct_water) | numeric |
+| log_lastyear_zevpct | Log(previous-year ZEV share) | numeric |
+---
+## Zero-Emission Vehicle (ZEV) Exposure
+| Variable | Description | Values |
+|---------|-------------|--------|
+| lastyear_zev_pct | Percentage of ZEVs in prior year | numeric |
+# Data Dictionary: Output
+## Household-Level Variables
+| Variable name | Description | Value |
+|---------------|-------------|--------|
+| county_fips | County FIPS code | numeric |
+| tractid | Census tract ID | numeric |
+| HOUSEID | Household ID | numeric |
+| nvehicles | Number of vehicle(s) owned by the household | numeric |
+## Vehicle-Level Variables
+| Variable name     | Description                                   | Value |
+|-------------------|-----------------------------------------------|--------|
+| county_fips       | County FIPS code                              | numeric |
+| tractid           | Census tract ID                               | numeric |
+| HOUSEID           | Household ID                                  | numeric |
+| VEHID             | Vehicle ID associated with the household      | numeric |
+| bodytype          | The vehicle's body type                       | car, van, suv (Sport Utility Vehicle), pickup (Light-duty pick-up truck) |
+| vintage_category  | Vehicle age range                              | 0–5 years, 6–11 years, 12+ years |
+| annual_mileage    | The vehicle's annual mileage                  | numeric |
+| pred_power        | The vehicle's powertrain                       | ICE (Internal Combustion Engine), AEV (All-Electric Vehicle), PHEV (Plug-in Hybrid Electric Vehicle) |
+| modelyear         | Vehicle model year (year manufactured)        | numeric |
+---
+## Methodology Summary
+### 1. Synthetic Population
+Generated using PopulationSim, producing approximately 13 million California households with demographics matched to ACS distributions.
+### 2. Multiple Discrete-Choice Vehicle Ownership Model
+The dataset extends the MDCEV-based fleet composition model by Garikapati et al. (2014).
+The model jointly predicts:
+- Number of vehicles per household
+- Vehicle category combinations
+- Powertrain shares
+- Vintage distributions
+Predictors include:
+- Income, household size, and workers
+- Built environment metrics
+- Accessibility indices
+- Regional land-use patterns
+### 3. Validation
+The synthetic fleet is externally validated against:
+- California DMV vehicle registration data
+- County-level vintage and powertrain distributions
+- Household vehicle count statistics
+The dataset reproduces observed distributions with high fidelity.
+---
+## Geographic and Temporal Scope
+- Region: California
+- Spatial resolution: Census tract (GEOID)
+- Households: ~13 million
+- Vehicles: ~15+ million
+- Base demographic year: 2017
+- Fleet calibration year: 2025
+---
+## License
+This dataset is licensed under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license.
+You are free to:
+- **Share** — copy and redistribute the material in any medium or format
+- **Adapt** — remix, transform, and build upon the material for any purpose, even commercially
+Under the following terms:
+- **Attribution** — You must give appropriate credit, provide a link to the license, and indicate if changes were made.
+  You may do so in any reasonable manner, but not in a way that suggests the licensor endorses you or your use.
+Full license text: https://creativecommons.org/licenses/by/4.0/
+---
+## How to Load the Dataset
+### Python (pandas)
+```python
+import polars as pl
+hh = pl.read_parquet("households.parquet")
+veh = pl.read_parquet("vehicles.parquet")

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