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A simulation study of the impact of the public–private partnership strategy on the performance of transport infrastructure
The choice of investment strategy has a great impact on the performance of transport infrastructure. Positive projects such as the “Subway plus Property” model in Hong Kong have created sustainable financial profits for the public transport projects. Owing to a series of public debt and other constr...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4930437/ https://www.ncbi.nlm.nih.gov/pubmed/27386401 http://dx.doi.org/10.1186/s40064-016-2533-6 |
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author | Huang, Zhengfeng Zheng, Pengjun Ma, Yanqiang Li, Xuan Xu, Wenjun Zhu, Wanlu |
author_facet | Huang, Zhengfeng Zheng, Pengjun Ma, Yanqiang Li, Xuan Xu, Wenjun Zhu, Wanlu |
author_sort | Huang, Zhengfeng |
collection | PubMed |
description | The choice of investment strategy has a great impact on the performance of transport infrastructure. Positive projects such as the “Subway plus Property” model in Hong Kong have created sustainable financial profits for the public transport projects. Owing to a series of public debt and other constraints, public–private partnership (PPP) was introduced as an innovative investment model to address this issue and help develop transport infrastructure. Yet, few studies provide a deeper understanding of relationships between PPP strategy and the performance of such transport projects (particularly the whole transport system). This paper defines the research scope as a regional network of freeway. With a popular PPP model, travel demand prediction method, and relevant parameters as input, agents in a simulation framework can simulate the choice of PPP freeway over time. The simulation framework can be used to analyze the relationship between the PPP strategy and performance of the regional freeway network. This study uses the Freeway Network of Yangtze River Delta (FN-YRD) in China as the context. The results demonstrate the value of using simulation models of complex transportation systems to help decision makers choose the right PPP projects. Such a tool is viewed as particularly important given the ongoing transformation of functions of the Chinese transportation sector, including franchise rights of transport projects, and freeway charging mechanism. |
format | Online Article Text |
id | pubmed-4930437 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-49304372016-07-06 A simulation study of the impact of the public–private partnership strategy on the performance of transport infrastructure Huang, Zhengfeng Zheng, Pengjun Ma, Yanqiang Li, Xuan Xu, Wenjun Zhu, Wanlu Springerplus Research The choice of investment strategy has a great impact on the performance of transport infrastructure. Positive projects such as the “Subway plus Property” model in Hong Kong have created sustainable financial profits for the public transport projects. Owing to a series of public debt and other constraints, public–private partnership (PPP) was introduced as an innovative investment model to address this issue and help develop transport infrastructure. Yet, few studies provide a deeper understanding of relationships between PPP strategy and the performance of such transport projects (particularly the whole transport system). This paper defines the research scope as a regional network of freeway. With a popular PPP model, travel demand prediction method, and relevant parameters as input, agents in a simulation framework can simulate the choice of PPP freeway over time. The simulation framework can be used to analyze the relationship between the PPP strategy and performance of the regional freeway network. This study uses the Freeway Network of Yangtze River Delta (FN-YRD) in China as the context. The results demonstrate the value of using simulation models of complex transportation systems to help decision makers choose the right PPP projects. Such a tool is viewed as particularly important given the ongoing transformation of functions of the Chinese transportation sector, including franchise rights of transport projects, and freeway charging mechanism. Springer International Publishing 2016-07-02 /pmc/articles/PMC4930437/ /pubmed/27386401 http://dx.doi.org/10.1186/s40064-016-2533-6 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Huang, Zhengfeng Zheng, Pengjun Ma, Yanqiang Li, Xuan Xu, Wenjun Zhu, Wanlu A simulation study of the impact of the public–private partnership strategy on the performance of transport infrastructure |
title | A simulation study of the impact of the public–private partnership strategy on the performance of transport infrastructure |
title_full | A simulation study of the impact of the public–private partnership strategy on the performance of transport infrastructure |
title_fullStr | A simulation study of the impact of the public–private partnership strategy on the performance of transport infrastructure |
title_full_unstemmed | A simulation study of the impact of the public–private partnership strategy on the performance of transport infrastructure |
title_short | A simulation study of the impact of the public–private partnership strategy on the performance of transport infrastructure |
title_sort | simulation study of the impact of the public–private partnership strategy on the performance of transport infrastructure |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4930437/ https://www.ncbi.nlm.nih.gov/pubmed/27386401 http://dx.doi.org/10.1186/s40064-016-2533-6 |
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