Link to Content Area
:::

Institute of Transportation, MOTC

:::
  • small size
  • medium size
  • large size
  • print
  • facebook
  • plurk
  • twitter

Trans. Planning Journal

Title A Multi-Objective Programming Model of Budget Allocation in Low Carbon Transportation Projects
Author Cheng-Chieh (Frank) Chen, Cheng-Min Feng and Ting-Hau Liou
Summary Reducing greenhouse gas emissions is one major issue and challenge in transportation sections. To achieve this mission, various administrative divisions under the central government were asked to propose some low-carbon transport projects for annual budget planning and allocation.

Instead of arbitrarily evaluating the performance of those projects, this paper contributes a method for quantifying and jointly optimizing the results of project selections and budget allocations, while also considering the proportion and minimum required amount of each proposed budget. A basic model (Model 1) adapted from the typical 0-1 knapsack problem, an extended mixed integer programming model (Model 2), and a multi-objective mixed integer nonlinear programming model (Model 3) are developed in this study.

Models 1 and 2 are maximizing the total reduction of emissions based on selected projects and approved budget. Model 3 is further pursuing the equality issue by minimizing the variance of allocation results among administrative divisions. Through a series of numerical examples and sensitivity analysis, the models demonstrate their ability to maximize emissions reduction through budget allocating decisions. Different weight combinations between two objective functions are also examined.

Vol. 44
No. 4
Page 373
Year 2015
Month 12
Count Views:500
Top