A Double-Level Calculation Model for the Construction Schedule Planning of Urban Rail Transit Network
The construction of urban rail transit (URT) guides and promotes urban development. Different URT line construction schedule, including construction sequence (priority order of line construction) and construction timing (when to build), will have different effects on urban traffic and development. T...
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| Format: | Article |
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MDPI AG
2022-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/10/5268 |
| _version_ | 1797501692599599104 |
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| author | Songsong Li Qinghuai Liang Kuo Han Heng Wang Jun Xu |
| author_facet | Songsong Li Qinghuai Liang Kuo Han Heng Wang Jun Xu |
| author_sort | Songsong Li |
| collection | DOAJ |
| description | The construction of urban rail transit (URT) guides and promotes urban development. Different URT line construction schedule, including construction sequence (priority order of line construction) and construction timing (when to build), will have different effects on urban traffic and development. Therefore, the planning of construction schedule is an important part of URT network planning. At present, the determination of construction schedule is mainly based on qualitative analysis methods (i.e., experience, comparisons with other cities, and expert opinion) in engineering practice. In this study, based on an analysis of the main factors affecting the construction sequence and the construction timing data of existing URT lines, a quantitative double-level model of a construction schedule is proposed. The model consists of construction sequence and construction timing sub-models. The construction sequence sub-model employs an improved Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) with Rough Set method; the construction timing sub-model takes the results of the construction sequence model and the factors associated with urban development characteristics into account and presents an improved Logistic-<i>β</i> method. The model is verified using the Chengdu rail transit network as the case study. The results of the study show that the double-level calculation model could provide quantitative theoretical support for the construction schedule planning of URT network. |
| first_indexed | 2024-03-10T03:22:13Z |
| format | Article |
| id | doaj.art-329ff768c3994fd6959092b0bfece665 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T03:22:13Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-329ff768c3994fd6959092b0bfece6652023-11-23T10:00:11ZengMDPI AGApplied Sciences2076-34172022-05-011210526810.3390/app12105268A Double-Level Calculation Model for the Construction Schedule Planning of Urban Rail Transit NetworkSongsong Li0Qinghuai Liang1Kuo Han2Heng Wang3Jun Xu4School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Civil Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Civil Engineering, Beijing Jiaotong University, Beijing 100044, ChinaChina Railway Eryuan Engineering Group Co., Ltd., Chengdu 610031, ChinaSchool of Civil Engineering, Beijing Jiaotong University, Beijing 100044, ChinaThe construction of urban rail transit (URT) guides and promotes urban development. Different URT line construction schedule, including construction sequence (priority order of line construction) and construction timing (when to build), will have different effects on urban traffic and development. Therefore, the planning of construction schedule is an important part of URT network planning. At present, the determination of construction schedule is mainly based on qualitative analysis methods (i.e., experience, comparisons with other cities, and expert opinion) in engineering practice. In this study, based on an analysis of the main factors affecting the construction sequence and the construction timing data of existing URT lines, a quantitative double-level model of a construction schedule is proposed. The model consists of construction sequence and construction timing sub-models. The construction sequence sub-model employs an improved Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) with Rough Set method; the construction timing sub-model takes the results of the construction sequence model and the factors associated with urban development characteristics into account and presents an improved Logistic-<i>β</i> method. The model is verified using the Chengdu rail transit network as the case study. The results of the study show that the double-level calculation model could provide quantitative theoretical support for the construction schedule planning of URT network.https://www.mdpi.com/2076-3417/12/10/5268urban rail transitconstruction scheduleconstruction sequenceconstruction timingTOPSISLogistic-<i>β</i> |
| spellingShingle | Songsong Li Qinghuai Liang Kuo Han Heng Wang Jun Xu A Double-Level Calculation Model for the Construction Schedule Planning of Urban Rail Transit Network Applied Sciences urban rail transit construction schedule construction sequence construction timing TOPSIS Logistic-<i>β</i> |
| title | A Double-Level Calculation Model for the Construction Schedule Planning of Urban Rail Transit Network |
| title_full | A Double-Level Calculation Model for the Construction Schedule Planning of Urban Rail Transit Network |
| title_fullStr | A Double-Level Calculation Model for the Construction Schedule Planning of Urban Rail Transit Network |
| title_full_unstemmed | A Double-Level Calculation Model for the Construction Schedule Planning of Urban Rail Transit Network |
| title_short | A Double-Level Calculation Model for the Construction Schedule Planning of Urban Rail Transit Network |
| title_sort | double level calculation model for the construction schedule planning of urban rail transit network |
| topic | urban rail transit construction schedule construction sequence construction timing TOPSIS Logistic-<i>β</i> |
| url | https://www.mdpi.com/2076-3417/12/10/5268 |
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