Spatial Interpolation–Based Localized Growth Factors Compared to Statewide, Regional-Level, and County-Level Growth Factors for Local Roads-Reference-Cited by-同舟云学术

Spatial Interpolation–Based Localized Growth Factors Compared to Statewide, Regional-Level, and County-Level Growth Factors for Local Roads

Published:2022-09 Issue:9 Volume:148 Page:
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Pulugurtha Srinivas S.¹^ORCID,Mathew Sonu²

Affiliation:

1. Professor, Dept. of Civil & Environmental Engineering, Director of Infrastructure, Design, Environment & Sustainability (IDEAS) Center, Univ. of North Carolina at Charlotte, 9201 University City Blvd., Charlotte, NC 28223-0001 (corresponding author). ORCID: .

2. Postdoctoral Researcher, IDEAS Center, Univ. of North Carolina at Charlotte, 9201 University City Blvd., Charlotte, NC 28223-0001.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.0000733

Reference38 articles.

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2. Estimating traffic volume on Wyoming low volume roads using linear and logistic regression methods;Apronti D.;J. Traffic Transp. Eng.,2016

3. Comparison of Linear and Nonlinear Kriging Methods for Characterization and Interpolation of Soil Data

4. Multivariate interpolation to incorporate thematic surface data using inverse distance weighting (IDW)

5. Spatial prediction and ordinary kriging

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