Analysis of Input Variables for a Pre-feasibility Evaluation Model for Tol Highways

Analysis of Input Variables for a Pre-feasibility Evaluation Model for Tol Highways
Author: Juan J. Orozco
Publisher:
Total Pages: 114
Release: 1998
Genre: Roads
ISBN:

This report analyzes the main variables affecting a toll highway project, and develops mathematical models that describe their behavior. These models can serve as a tool in the decision-making process during the planning and operation of the facility. This study focuses on the development of a toll traffic estimation model based on the attributes of the highway and the elasticity of the demand. The goal is to estimate the amount of traffic that could be diverted to the toll facility in an existing corridor with a free access road as an alternate route. Some possible methods to estimate the toll price are discussed as well as an analysis to determine the optimum toll. The Mexican experience is used as a case study to develop empirical models.

HRIS Abstracts

HRIS Abstracts
Author: National Research Council (U.S.). Highway Research Information Service
Publisher:
Total Pages: 438
Release: 1986
Genre: Highway research
ISBN:

Spatial Modeling in GIS and R for Earth and Environmental Sciences

Spatial Modeling in GIS and R for Earth and Environmental Sciences
Author: Hamid Reza Pourghasemi
Publisher: Elsevier
Total Pages: 800
Release: 2019-01-18
Genre: Science
ISBN: 0128156953

Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. - Offers a clear, interdisciplinary guide to serve researchers in a variety of fields, including hazards, land surveying, remote sensing, cartography, geophysics, geology, natural resources, environment and geography - Provides an overview, methods and case studies for each application - Expresses concepts and methods at an appropriate level for both students and new users to learn by example