Operation mode selection of NIMBY facility Public Private Partnership projects

被引:8
|
作者
Zhao, Hui [1 ]
Zhang, Jingqi [1 ]
Ge, Yuanyuan [1 ]
机构
[1] Qingdao Univ Technol, Sch Management Engn, Qingdao, Peoples R China
来源
PLOS ONE | 2021年 / 16卷 / 07期
关键词
POLICY;
D O I
10.1371/journal.pone.0254046
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Construction of not in my back yard (NIMBY) facility Public Private Partnership (PPP) projects are feasible measures to realize sustainable urbanization. In order to ensure the smooth development of the NIMBY facility PPP projects, the problem of choosing the most suitable operation mode among many PPP modes is still scarce and unscientific. In order to select the operation mode of the PPP projects that best fits the characteristics of the project, this paper constructs the operation mode selection of the NIMBY facility PPP project. Firstly, the index system of operation mode selection of the NIMBY facility PPP project is determined. G1 subjective weighting method and information entropy objective weighting method are introduced to solve the optimal weight of each index. Grey correlation theory is used to improve TOPSIS method, and the calculation form of relative proximity degree is optimized to determine the most suitable operation mode for the project. In this paper, combined weighting and TOPSIS method are applied to the research of NIMBY facility PPP project, and the operation mode selection of NIMBY facility PPP project is established, which makes up the blank of this part. Finally, a PPP project in Qingdao, Shandong Province, China, is taken as an example to verify the applicability of the model. The effectiveness of this model was tested by comparing the results of TOPSIS method, Grey target model, Extended matter-element mode and GRA-TOPSIS. It is hoped to provide useful reference for the operation mode selection of NIMBY facility PPP project.
引用
收藏
页数:24
相关论文
共 50 条
  • [31] PERFROMANCE MEASUREMENT AND MANAGEMENT OF PUBLIC-PRIVATE PARTNERSHIP PROJECTS
    Augustinova, Edita
    Daubner, Michal
    GEOCONFERENCE ON ECOLOGY, ECONOMICS, EDUCATION AND LEGISLATION, SGEM 2013, VOL II, 2013, : 239 - 246
  • [32] Financing constraints of public-private partnership projects in India
    Sinha, Ajit Kumar
    Jha, Kumar Neeraj
    ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT, 2021, 28 (01) : 246 - 269
  • [33] The optimal debt ratio of public-private partnership projects
    Chen, Borliang
    Mao, Chi-Kuo
    Hu, Jin-Li
    INTERNATIONAL JOURNAL OF CONSTRUCTION MANAGEMENT, 2015, 15 (03) : 239 - 253
  • [34] Developing a Performance Evaluation Framework for Public Private Partnership Projects
    Ahmad, Zeeshan
    Mubin, Sajjad
    Masood, Rehan
    Ullah, Fahim
    Khalfan, Malik
    BUILDINGS, 2022, 12 (10)
  • [35] Managing risks in public-private partnership formation projects
    Keers, Bianca B. M.
    van Fenema, Paul C.
    INTERNATIONAL JOURNAL OF PROJECT MANAGEMENT, 2018, 36 (06) : 861 - 875
  • [36] Antecedents of stakeholder management in public private partnership projects in Uganda
    Mwesigwa, Rogers
    Bagire, Vincent
    Ntayi, Joseph Mpeera
    Munene, John C.
    WORLD JOURNAL OF ENTREPRENEURSHIP MANAGEMENT AND SUSTAINABLE DEVELOPMENT, 2019, 15 (02) : 169 - 181
  • [37] Modelling country reliability in Public Private Partnership infrastructure projects
    Ehrlich, Matthias
    Kong, Robert Tiong Lee
    25TH INTERNATIONAL SYMPOSIUM ON AUTOMATION AND ROBOTICS IN CONSTRUCTION - ISARC-2008, 2008, : 751 - 758
  • [38] Synthesis of Innovation Research in Public-Private Partnership Projects
    Gonzalez, Edwin E.
    Garvin, Michael J.
    CONSTRUCTION RESEARCH CONGRESS 2016: OLD AND NEW CONSTRUCTION TECHNOLOGIES CONVERGE IN HISTORIC SAN JUAN, 2016, : 428 - 437
  • [40] Algorithm for the selection of public-private partnership projects for planning the resources allocation in road and transport infrastructure
    Buyvis, V. A.
    Yuryeva, E. Yu
    Novichikhin, A. V.
    INTERNATIONAL SCIENTIFIC AND RESEARCH CONFERENCE ON KNOWLEDGE-BASED TECHNOLOGIES IN DEVELOPMENT AND UTILIZATION OF MINERAL RESOURCES, 2019, 377