Data collection of Odometer images via WhatsApp to measure vehicle miles traveled report

This dataset contains relevant information used in the study of collecting odometer images via WhatsApp to measure vehicle miles traveled (VMT) in California. In recent years, policymakers have increasingly suggested interventions for sustainable transportation, directly or indirectly aiming to reduce vehicle miles traveled. Researchers in transportation have used various ways to collect VMT data for their analysis, but there are pros and cons to each method. Self-reported VMTs from travel surveys are traditionally used to understand factors affecting VMT or estimate policy effects, yet such data suffer from recall error, rounding, and heaping biases in reporting numbers by which researchers derive VMT. Surveys with the latest technologies, such as a dedicated GPS device, can provide more accurate VMT but can be intrusive on participants’ privacy and too expensive to scale. Passively collected data, such as traffic counts or states’ odometer reading data, rarely capture travelers’ chara..., , # Dataset of \"Data Collection of Odometer Images via WhatsApp to Measure Vehicle Miles Traveled\"

Dataset DOI: [10.5061/dryad.g79cnp62m](10.5061/dryad.g79cnp62m)

## Description of the data and file structure

This dataset contains relevant information used in the study \"Data collection of Odometer images via WhatsApp to measure vehicle miles traveled\", an NCST-supported project conducted by the Institute of Transportation Studies, UC Davis.

This repository contains three files:

1. posts_pii_removed.csv
2. survey_pii_removed.csv
3. users_pii_removed.csv

These files represent the odometer images collected during the study, data of the prescreening survey, and the user statistics, respectively, with all personal identifiable information removed.

### Files and variables

#### File: posts_pii_removed.csv

**Description:** This data contains information about the posts (odometer images submitted during the study).

##### Variables

* id: ID. String.
* image_create_date: The datetime when..., For the \"survey\" subdataset, we applied a grouping of the age of the study participants.
For the \"users\" subdataset, we removed the exact time of the day.