Multi-Objective Optimization of Axial Crush Performance of Square Metal–Composite Hybrid Tubes

Kalhor, Roozbeh; Akbarshahi, H.; Case, Scott W.

doi:10.1115/imece2013-63071

Cited by 1 publication

(1 citation statement)

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“…MCDA is comprised of a suite of methods that comparatively evaluate multiple dimensions of a problem rather than optimizing a single dimensional objective function [10,11]. The core of MCDA is to model a preference model containing two underlying primary elements: (i) preference in terms of individual criterion for which the relative importance of achieving different levels of performance is measured; (ii) an aggregation model to combine preference across criteria [6,12,13].…”

Section: Multiple-criteria Decision Analysis In Project Prioritizationmentioning

confidence: 99%

Evaluation of the Urban Freight Transportation (UFT) Projects

Graindorge¹,

Breuil²

2016

Towards Innovative Freight and Logistics

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Given unprecedented levels of urbanization and motorization in addition to deteriorating infrastructure in developed countries, cities around the world have been facing the enormous challenge of delivering sustainable forms of infrastructure with fewer resources. The challenges in urban infrastructure investment become even more daunting as manifested by the staggering size of infrastructure funding gap. Therefore, prioritizing projects at the system level based on transparent and evidenced-based decision-making processes has emerged as one of the most promising ways to bridge enormous funding gaps especially for developing countries. To address the current limitations, this paper proposes a scenario-based multi-criteria prioritization framework for urban transportation projects in developing countries and then formulates it. This is done with the efficient use of pre-existing project evaluation information and emergent scenario of various stakeholders' inputs. The framework is applied to set priorities for nine recent urban transportation projects constructed within a two-year framework in the Tianjin Binhai New Area, China. The results show that the proposed framework could serve as a consistent, robust, and comprehensive infrastructure project prioritization strategy that reconciles diverse perspectives among stakeholders. It also introduces sustainability in urban transportation decision making and links the prioritization process to the transportation planning that precedes it.

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Section: Multiple-criteria Decision Analysis In Project Prioritizationmentioning

confidence: 99%