A Two-Stage Investment Decision-Making Model for Urban Rail Transit Drainage Renovation
Climate change is the main cause of frequent extreme weather and natural disasters. Therefore, effective climate adaptation strategies for urban rail transit (URT) should be adopted to cope with extreme precipitation events (EPEs). This study proposes a decision-making model based on climate change...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Systems |
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| Online Access: | https://www.mdpi.com/2079-8954/11/6/280 |
| _version_ | 1797592533284421632 |
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| author | Tao Wang Bingsheng Liu Shimeng Liu Kuan Zhang Mingyue Ma |
| author_facet | Tao Wang Bingsheng Liu Shimeng Liu Kuan Zhang Mingyue Ma |
| author_sort | Tao Wang |
| collection | DOAJ |
| description | Climate change is the main cause of frequent extreme weather and natural disasters. Therefore, effective climate adaptation strategies for urban rail transit (URT) should be adopted to cope with extreme precipitation events (EPEs). This study proposes a decision-making model based on climate change for drainage renovation, which consists of an optimal renovation sequence model and an optimal investment timing model. This study analyzes the inundation risk of each station and its node importance in the URT network and then uses a multi-attribute decision analysis (MADA) to determine the optimal renovation sequence. This study also uses a real options pricing approach to calculate the value of an option in order to defer the renovation project and determine the optimal investment timing. Then, the Beijing Urban Rail Transit (BURT) is taken as an example to conduct an empirical analysis of the proposed model. Considering the uncertainty of climate change and the complexity of the URT network, the model can obtain the optimal renovation sequence and the investment timing of each station, which is expected to provide a decision-making tool for urban governments to formulate an optimal plan that strengthens the prevention of flooding disasters. |
| first_indexed | 2024-03-11T01:52:29Z |
| format | Article |
| id | doaj.art-cf80eacd497748bc84ed87a0179ebec7 |
| institution | Directory Open Access Journal |
| issn | 2079-8954 |
| language | English |
| last_indexed | 2024-03-11T01:52:29Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Systems |
| spelling | doaj.art-cf80eacd497748bc84ed87a0179ebec72023-11-18T12:52:22ZengMDPI AGSystems2079-89542023-06-0111628010.3390/systems11060280A Two-Stage Investment Decision-Making Model for Urban Rail Transit Drainage RenovationTao Wang0Bingsheng Liu1Shimeng Liu2Kuan Zhang3Mingyue Ma4School of Public Policy and Administration, Chongqing University, Chongqing 400044, ChinaSchool of Public Policy and Administration, Chongqing University, Chongqing 400044, ChinaCollege of Management and Economics, Tianjin University, Tianjin 300072, ChinaSchool of Public Policy and Administration, Chongqing University, Chongqing 400044, ChinaResearch Institute for Road Safety of the Ministry of Public Security of China, Beijing 100062, ChinaClimate change is the main cause of frequent extreme weather and natural disasters. Therefore, effective climate adaptation strategies for urban rail transit (URT) should be adopted to cope with extreme precipitation events (EPEs). This study proposes a decision-making model based on climate change for drainage renovation, which consists of an optimal renovation sequence model and an optimal investment timing model. This study analyzes the inundation risk of each station and its node importance in the URT network and then uses a multi-attribute decision analysis (MADA) to determine the optimal renovation sequence. This study also uses a real options pricing approach to calculate the value of an option in order to defer the renovation project and determine the optimal investment timing. Then, the Beijing Urban Rail Transit (BURT) is taken as an example to conduct an empirical analysis of the proposed model. Considering the uncertainty of climate change and the complexity of the URT network, the model can obtain the optimal renovation sequence and the investment timing of each station, which is expected to provide a decision-making tool for urban governments to formulate an optimal plan that strengthens the prevention of flooding disasters.https://www.mdpi.com/2079-8954/11/6/280climate changeurban rail transitoptimal renovation sequenceoptimal investment timing |
| spellingShingle | Tao Wang Bingsheng Liu Shimeng Liu Kuan Zhang Mingyue Ma A Two-Stage Investment Decision-Making Model for Urban Rail Transit Drainage Renovation Systems climate change urban rail transit optimal renovation sequence optimal investment timing |
| title | A Two-Stage Investment Decision-Making Model for Urban Rail Transit Drainage Renovation |
| title_full | A Two-Stage Investment Decision-Making Model for Urban Rail Transit Drainage Renovation |
| title_fullStr | A Two-Stage Investment Decision-Making Model for Urban Rail Transit Drainage Renovation |
| title_full_unstemmed | A Two-Stage Investment Decision-Making Model for Urban Rail Transit Drainage Renovation |
| title_short | A Two-Stage Investment Decision-Making Model for Urban Rail Transit Drainage Renovation |
| title_sort | two stage investment decision making model for urban rail transit drainage renovation |
| topic | climate change urban rail transit optimal renovation sequence optimal investment timing |
| url | https://www.mdpi.com/2079-8954/11/6/280 |
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