scholarly journals Review of Urban Transportation Network Design Problems Based on CiteSpace

2019 ◽  
Vol 2019 ◽  
pp. 1-22 ◽  
Author(s):  
Guo-Ling Jia ◽  
Rong-Guo Ma ◽  
Zhi-Hua Hu

This paper provides a comprehensive review of urban transportation network design problems according to CiteSpace, including main problem classifications, mathematical models, and solution methods obtained from CiteSpace clusters. The review attempts to present the systematic picture of urban transportation network design and show the future directions of it.

2013 ◽  
Vol 229 (2) ◽  
pp. 281-302 ◽  
Author(s):  
Reza Zanjirani Farahani ◽  
Elnaz Miandoabchi ◽  
W.Y. Szeto ◽  
Hannaneh Rashidi

2013 ◽  
Vol 791-793 ◽  
pp. 1172-1175
Author(s):  
Chuan Song

In this paper, we conduct a comprehensive survey on the past developments and recent advances of bilevel programming models, algorithms and practical applications in urban transportation network design problems. Moreover, based on this survey, some open problems and future research directions are proposed.


Author(s):  
Saeed Asadi Bagloee ◽  
Madjid Tavana ◽  
Avishai Ceder ◽  
Claire Bozic ◽  
Mohsen Asadi

Author(s):  
Yufeng Zhang ◽  
Alireza Khani

A significant amount of research has been performed on network accessibility evaluation, but studies on incorporating accessibility maximization into network design problems have been relatively scarce. This study aimed to bridge the gap by proposing an integer programming model that explicitly maximizes the number of accessible opportunities within a given travel time budget. We adopted the Lagrangian relaxation method for decomposing the main problem into three subproblems that can be solved more efficiently using dynamic programming. The proposed method was applied to several case studies, which identified critical links for maximizing network accessibility with limited construction budget, and also illustrated the accuracy and efficiency of the algorithm. This method is promisingly scalable as a solution algorithm for large-scale accessibility-oriented network design problems.


2016 ◽  
Vol 138 (10) ◽  
Author(s):  
Katherine K. Fu ◽  
Maria C. Yang ◽  
Kristin L. Wood

Design principles are created to codify and formalize design knowledge so that innovative, archival practices may be communicated and used to advance design science and solve future design problems, especially the pinnacle, wicked, and grand-challenge problems that face the world and cross-cutting markets. Principles are part of a family of knowledge explication, which also include guidelines, heuristics, rules of thumb, and strategic constructs. Definitions of a range of explications are explored from a number of seminal papers. Based on this analysis, the authors pose formalized definitions for the three most prevalent terms in the literature—principles, guidelines, and heuristics—and draw more definitive distinctions between the terms. Current research methods and practices with design principles are categorized and characterized. We further explore research methodologies, validation approaches, semantic principle composition through computational analysis, and a proposed formal approach to articulating principles. In analyzing the methodology for discovering, deriving, formulating, and validating design principles, the goal is to understand and advance the theoretical basis of design, the foundations of new tools and techniques, and the complex systems of the future. Suggestions for the future of design principles research methodology for added rigor and repeatability are proposed.


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