Modelling and assessing long-term urban transportation system resilience based on system dynamics
Urban transportation systems (UTSs) face numerous long-term disturbances, such as climate change, technological innovation, and pandemics, highlighting the need for resilient construction and management. However, current research on this area remains insufficient. Consequently, this paper aims to es...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/179145 |
| _version_ | 1811684849145085952 |
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| author | Wang, Nanxi Wu, Min Yuen, Kum Fai |
| author2 | School of Civil and Environmental Engineering |
| author_facet | School of Civil and Environmental Engineering Wang, Nanxi Wu, Min Yuen, Kum Fai |
| author_sort | Wang, Nanxi |
| collection | NTU |
| description | Urban transportation systems (UTSs) face numerous long-term disturbances, such as climate change, technological innovation, and pandemics, highlighting the need for resilient construction and management. However, current research on this area remains insufficient. Consequently, this paper aims to establish a model for evaluating the long-term resilience of UTSs and identify strategic enhancement methods through simulation. Given the intricate interdependencies among diverse components within UTSs, a dynamic system model tailored for the long-term resilience assessment of UTSs is formulated. This model encompasses four dimensions: environment, infrastructure and equipment, economic, and organization. Within each dimension, critical vulnerability factors responsible for potential disruptions are identified, along with the corresponding reinforcing factors designed to mitigate such vulnerabilities. Leveraging the developed model and data from Singapore's UTS, evolutionary analysis, local sensitivity analysis, global sensitivity analysis using the Monte Carlo simulation, and strategy analysis were conducted. Findings reveal the resilience of Singapore's UTS displays an initial ascending trajectory followed by a subsequent decline, primarily attributed to the diminishing environment resilience. Furthermore, increasing passenger safety awareness and reducing emission factors are paramount factors to enhance UTSs’ long-term resilience. A dynamic model for assessing the long-term resilience of UTSs is created and can be generalized to other cities. |
| first_indexed | 2024-10-01T04:35:10Z |
| format | Journal Article |
| id | ntu-10356/179145 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:35:10Z |
| publishDate | 2024 |
| record_format | dspace |
| spelling | ntu-10356/1791452024-07-22T02:11:35Z Modelling and assessing long-term urban transportation system resilience based on system dynamics Wang, Nanxi Wu, Min Yuen, Kum Fai School of Civil and Environmental Engineering Engineering Resilience assessment System dynamics model Urban transportation systems (UTSs) face numerous long-term disturbances, such as climate change, technological innovation, and pandemics, highlighting the need for resilient construction and management. However, current research on this area remains insufficient. Consequently, this paper aims to establish a model for evaluating the long-term resilience of UTSs and identify strategic enhancement methods through simulation. Given the intricate interdependencies among diverse components within UTSs, a dynamic system model tailored for the long-term resilience assessment of UTSs is formulated. This model encompasses four dimensions: environment, infrastructure and equipment, economic, and organization. Within each dimension, critical vulnerability factors responsible for potential disruptions are identified, along with the corresponding reinforcing factors designed to mitigate such vulnerabilities. Leveraging the developed model and data from Singapore's UTS, evolutionary analysis, local sensitivity analysis, global sensitivity analysis using the Monte Carlo simulation, and strategy analysis were conducted. Findings reveal the resilience of Singapore's UTS displays an initial ascending trajectory followed by a subsequent decline, primarily attributed to the diminishing environment resilience. Furthermore, increasing passenger safety awareness and reducing emission factors are paramount factors to enhance UTSs’ long-term resilience. A dynamic model for assessing the long-term resilience of UTSs is created and can be generalized to other cities. Ministry of Education (MOE) This research is supported by the Ministry of Education, Singapore, under its Academic Research Fund Tier 1 (Project ID, RG137/22). 2024-07-22T02:11:35Z 2024-07-22T02:11:35Z 2024 Journal Article Wang, N., Wu, M. & Yuen, K. F. (2024). Modelling and assessing long-term urban transportation system resilience based on system dynamics. Sustainable Cities and Society, 109, 105548-. https://dx.doi.org/10.1016/j.scs.2024.105548 2210-6707 https://hdl.handle.net/10356/179145 10.1016/j.scs.2024.105548 2-s2.0-85194497689 109 105548 en RG137/22 Sustainable Cities and Society © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. |
| spellingShingle | Engineering Resilience assessment System dynamics model Wang, Nanxi Wu, Min Yuen, Kum Fai Modelling and assessing long-term urban transportation system resilience based on system dynamics |
| title | Modelling and assessing long-term urban transportation system resilience based on system dynamics |
| title_full | Modelling and assessing long-term urban transportation system resilience based on system dynamics |
| title_fullStr | Modelling and assessing long-term urban transportation system resilience based on system dynamics |
| title_full_unstemmed | Modelling and assessing long-term urban transportation system resilience based on system dynamics |
| title_short | Modelling and assessing long-term urban transportation system resilience based on system dynamics |
| title_sort | modelling and assessing long term urban transportation system resilience based on system dynamics |
| topic | Engineering Resilience assessment System dynamics model |
| url | https://hdl.handle.net/10356/179145 |
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