Study on Design Optimization in Major Railway Projects with Fair Preference Based on Stackelberg Game

Author:

Liu Kai1ORCID,Liu Yuming1,Zhao Xi1,Kou Yuanyuan2

Affiliation:

1. School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China

2. College of Economics and Management, Shandong University of Science and Technology, Qingdao 266590, China

Abstract

A contractor proposes design changes to achieve design optimization in the design stage of major railway projects, which can effectively solve problems such as project cost overruns. In order to promote cooperation between the construction party and the owner in the design stage, the fairness preference theory was introduced. Based on the relationship characteristics of project participants in a major railway project, a Stackelberg game model between the owner and contractor was established. The influence of fairness preference psychology on both parties’ decision-making behavior and utility changes was discussed. MATLAB software is used to perform numerical simulation analysis on the evolution results of the game model. The research results show the following: The project gain distribution coefficient of the owner and contractor will increase with the increase in their fairness perception strength. The acceptance rate of design changes will decrease with the increase in the contractor’s fairness perception strength, and the owner’s fairness perception intensity has no effect on the acceptance rate of design changes. When only one party has a fairness preference psychology, the project gain distribution coefficient will tilt towards that party. Fairness preference psychology can change the utility of the owner and contractor and narrow the utility gap between two parties.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3