私营部门
困境
操作员(生物学)
政府(语言学)
城市轨道交通
业务
公共部门
选择(遗传算法)
控制(管理)
Lasso(编程语言)
钥匙(锁)
计算机科学
财务
运筹学
风险分析(工程)
产业组织
运输工程
经济
工程类
计算机安全
数学
经济增长
哲学
经济
抑制因子
人工智能
语言学
化学
万维网
生物化学
几何学
转录因子
基因
作者
Xian Zheng,Rui Li,Yilong Han,Rui Xue,Ju Bai
出处
期刊:Journal of the Construction Division and Management
[American Society of Civil Engineers]
日期:2023-04-26
卷期号:149 (7)
被引量:2
标识
DOI:10.1061/jcemd4.coeng-12378
摘要
Public-private partnerships (PPPs) have become an important option for financing urban rail transit (URT) projects. To ensure the effective operation of URT projects and better serve the public, governments must select suitable operators as part of private-sector consortiums to achieve successful PPP implementations, but they often face a dilemma in choosing between local URT groups and nonlocal operators. In this study, we examine the key factors that determine governments' operator choices for URT PPP (URT3P) projects with a two-stage approach. A four-dimensional (4D) indicator system containing 20 factors was first developed, and least absolute shrinkage and selection operator (LASSO) regression was applied to analyze one of the largest regional URT data sets in China. Five key factors that significantly influence operator selection are identified, including project operation duration, government-business relationships, private-sector entity organization type, private-sector entity ownership type, and whether the private-sector entity owns an operating firm. This study contributes to the body of knowledge on URT3P project management, and this systematic approach can be used by local governments to select suitable operating partners in similar exploratory contexts.
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