Research Articles

Supervision model and simulation of underground utility tunnel projects in smart cities

Expand
  • School of Management, Shanghai University, Shanghai 200444, China

Received date: 2020-03-04

  Online published: 2020-10-19

Abstract

Underground utility tunnels are important bases for the development of smart cities. The quality and safety of utility tunnels directly affect the resilience of smart cities. Owing to the complex construction technology involved in building utility tunnels, multiple stakeholders, and asymmetric information, the general contractor can behave opportunistically. To improve supervision efficiency in utility tunnel projects, a supervision model based on prospect theory and evolutionary game theory was developed, and the main factors influencing government and general contractors' strategy choices were investigated. Given the limitation of punishment mechanisms in the prevention of opportunistic behaviours, a government incentive regulation model was further established, and the action mechanism of incentives on opportunistic behaviours under different risk attitudes of the contractors was analysed. The results indicated that the opportunistic behaviours of the general contractor were positively related to safe management, costs, and illegal income and negatively related to accident loss and punishment. The effect of government incentive regulation was influenced by the different risk preferences of general contractors. Punishment and incentive regulations were complementary.

Cite this article

MA Guanghong, WU Yi . Supervision model and simulation of underground utility tunnel projects in smart cities[J]. Journal of Shanghai University, 2022 , 28(6) : 981 -995 . DOI: 10.12066/j.issn.1007-2861.2263

References

[1] 辜胜阻, 王敏. 智慧城市建设的理论思考与战略选择[J]. 中国人口·资源与环境, 2012, 22(5): 74-80.
[2] Wakker P P. Prospect theory: for risk and ambiguity[M]. New York: Cambridge University Press, 2010.
[3] Fu X, Ren X Y. Evolutionary game analysis of participants' conflict negotiation in construction project[C]// Trans Tech Publications of Applied Mechanics and Materials. 2013:1761-1765.
[4] 程敏, 陈辉. 基于演化博弈的建筑工程安全监管研究[J]. 运筹与管理, 2011, 20(6): 210-215.
[5] Sun J D, Wang X C, Shen L F. Chinese construction workers' behaviour towards attending vocational skills trainings: evolutionary game theory with government participation[J]. Journal of Difference Equations and Applications, 2017, 23(1/2): 468-485.
[6] 吴光东, 杨慧琳. 基于演化博弈的建设项目承包商道德风险及防范机制[J]. 科技进步与对策, 2018, 35(24): 56-63.
[7] 尹贻林, 徐志超, 邱艳. 公共项目中承包商机会主义行为应对的演化博弈研究[J]. 土木工程学报, 2014, 47(6): 138-144.
[8] Liu J, Gao R, Cheah C Y J, et al. Evolutionary game of investors' opportunistic behaviour during the operational period in PPP projects[J]. Construction Management and Economics, 2017, 35(3): 137-153.
[9] 许树生, 王雪青, 徐志超. 城市地下工程核心安全风险治理: 多方协同策略的形成与演化[J]. 土木工程学报, 2017, 50(9): 90-103.
[10] 何海艳, 周国华, 郑立宁. 使用者介入PPP项目的激励机制研究--以综合管廊为例[J]. 系统工程, 2019, 37(4): 36-47.
[11] 周国华, 张羽, 李延来, 等. 基于前景理论的施工安全管理行为演化博弈[J]. 系统管理学报, 2012, 21(4): 501-509.
[12] 苑宏宪, 王雪青. 基于前景理论的注册建造师执业行为监管演化博弈分析--基于承包商视角[J]. 软科学, 2014, 28(4): 140-144.
[13] 张在旭, 刘志阳, 马莹莹. 政府监管下的企业安全生产行为研究--基于前景理论的演化博弈分析[J]. 数学的实践与认识, 2018, 48(4): 70-78.
[14] 马光红, 鲍铖奕, 单而芳. 基于演化博弈的"一带一路"PPP基础设施合作稳定性分析[J]. 上海大学学报(自然科学版), 2019, 25(4): 612-624.
[15] Kahneman D, Tversky A. Prospect theory: an analysis of decision making under risk[J]. Econometrica, 1979, 47(3): 63-91.
[16] Tversky A, Kahneman D. Advances in prospect theory: cumulative representation of uncertainty[J]. Journal of Risk and Uncertainty, 1992, 5(4): 297-323.
[17] 谢识予. 经济博弈论[M]. 第4版. 上海: 复旦大学出版社, 2017.
[18] Trager C P. Why uncertainty matters: discounting under intertemporal risk aversion and ambiguity[J]. Economic Theory, 2014, 56(3): 627-664.
Outlines

/