Selecting and scheduling interrelated projects: application in urban road network investment
by Elham Shayanfar; Paul M. Schonfeld
International Journal of Logistics Systems and Management (IJLSM), Vol. 29, No. 4, 2018

Abstract: Decisions about the selection of projects, alternatives, investments, operating policies and their implementation schedules are major subjects in various fields including operations research, financial analysis, business management, engineering economy and transportation planning. In these various disciplines sufficiently good methods have been developed for planning and prioritising projects when interrelations among those projects are negligible. However, methods for analysing interrelated alternatives are still inadequate. We propose a combinatorial method for evaluating and scheduling interrelated roadnetwork projects. In particular, this paper demonstrates how a traffic assignment model can be combined effectively with a genetic algorithm (GA) in a multi-period analysis to select and schedule road network projects while capturing interactions among those projects. The goal is to determine which projects should be selected and when they should be funded in order to minimise the present value of total system cost over a planning horizon, subject to budget flow constraints.

Online publication date: Mon, 19-Mar-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Logistics Systems and Management (IJLSM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com