Transportation Systems Planning

2011 ◽  
pp. 63-77 ◽  
Author(s):  
Thomas A. Horan

This chapter analyzes the role of users in enacting Intelligent Transportation Systems (ITS) functions and services. Preliminary evidence from recent demonstrations and market research studies is reviewed with a focus on the role of travelers in producing and using information about traffic conditions and traveler options. The potential for systems development is then considered with specific regard to alternative mode travel, flexible travel, emergency, and commercial services. Based on these findings, several directions and recommendations are made for creating the next generation of ITS systems that enhance user-based elements. Several areas for research and development are recommended, including integrating a wider range of market segments into ITS systems planning, developing a better understanding of how users drive complex systems, and creating new institutional partnerships for delivering innovative services.


Author(s):  
John T. Marker ◽  
Konstadinos Goulias

Household replenishment and consumer direct—two closely related and developing forms of teleshopping that are emerging as strategies within the broader realm of supply chain management—could have an impact on behavior related to grocery shopping trips, as well as on commercial development. In concept, household replenishment and consumer direct are the businesses of delivering groceries to households through various means. These grocery delivery systems have the potential to change household activity behavior, which could result in numerous changes throughout the transportation network. An examination of the relevant issues surrounding implementation of household replenishment and consumer direct, and an analysis of their potential impact on transportation systems planning, are provided. A conceptual framework for modeling changes in business and household behavior is also offered.


Author(s):  
Minyoung Park ◽  
Amelia Regan

A conceptual framework is presented for modeling the capacity of multimodal freight transportation networks. A review is provided on the evolution of capacity models for use in transportation systems planning and investment, and recent advances toward a system-oriented, multimodal capacity model are discussed in depth. A logical network capacity model based on bilevel programming is proposed.


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