Fuel economy gaps within and across garages: A bivariate random parameters seemingly unrelated regression approach-Reference-Cited by-同舟云学术

Fuel economy gaps within and across garages: A bivariate random parameters seemingly unrelated regression approach

Published:2018-09-11 Issue:5 Volume:13 Page:324-339
ISSN:1556-8318
Container-title:International Journal of Sustainable Transportation
language:en
Short-container-title:International Journal of Sustainable Transportation

Author:

Wali Behram¹,Khattak Asad J.¹^ORCID,Greene David L²,Liu Jun³^ORCID

Affiliation:

1. Department of Civil and Environmental Engineering, The University of Tennessee, Knoxville, Tennessee, USA;

2. Department of Civil and Environmental Engineering, Howard H. Baker Jr. Center for Public Policy, The University of Tennessee, Knoxville, Tennessee, USA;

3. Virginia Department of Transportation (VDOT), Richmond, Virginia, USA

Publisher

Informa UK Limited

Subject

Transportation,Automotive Engineering,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15568318.2018.1466222

Reference59 articles.

1. Household Automobile and Motorcycle Ownership Analyzed with Random Parameters Bivariate Ordered Probit Model

2. Random parameters multivariate tobit and zero-inflated count data models: Addressing unobserved and zero-state heterogeneity in accident injury-severity rate and frequency analysis

3. A multivariate tobit analysis of highway accident-injury-severity rates

4. Automobile Fuel Economy Standards: Impacts, Efficiency, and Alternatives

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