Description
This paper develops a conceptual model of optimal vehicle trips in a region plagued by weather-dependent, mobile-source air pollution, and numerically estimates optimal trips for one of the nation's perennially worst air quality regions in terms of short-term particulate matter. Based upon data-driven parameters and damage estimates, our numerical model generates steady-state values for region-wide vehicle trips and associated PM2.5 concentrations along with their corresponding optimal time paths. Our dataset includes a host of pertinent weather variables that determine PM2.5 concentrations both independently as well as interacted with vehicle trips. As a result, our empirical model enables us to isolate the conditions under which vehicle travel most affects air pollution levels. Our results suggest that maximizing net social welfare in the presence of mobile-source pollution requires substantial reductions in traditional, emissions-generating vehicle usage on days experiencing critical weather conditions - in the case of our study area, temperature inversions. Because they are socially optimal and targeted solely for days with temperature inversions, the estimated reductions in vehicle usage are substantially larger than those proposed by Moscardini and Caplan (2017) to attain the USEPA's daily standard for particulate matter on an average basis.
OCLC
1078404529
Document Type
Dataset
DCMI Type
Dataset
File Format
.csv, .txt
Viewing Instructions
Any software that can read or convert CSV format
Publication Date
9-17-2018
Publisher
Utah State University
Award Number
Utah Agricultural Experiment Station UTA0-1334
Methodology
Details appear in forthcoming paper
Start Date
1-1-2002
End Date
12-31-2013
Language
eng
Code Lists
Details appear in forthcoming paper
License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Caplan, A., & Acharya, R. (2018). Optimal Vehicle Trips (Cache County). Utah State University. https://doi.org/10.15142/T3F65B
Checksum
e7b3149ab52cf9f5031c448c0b7f4aa3
Additional Files
USU README File for Optimal Vehicle Trips Study.txt (3 kB)MD50faae70df8ca4fce57772a42e90fc533
Optimal_Vehicle_Trips_Regressions.csv (278 kB)
MD5712531d22d2c671967a8ad504a958c26