Harnessing Machine Learning for Classifying Economic Damage Trends in Transportation Infrastructure Projects
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Cosimo Magazzino & Marco Mele & Fabio Gaetano Santeramo, 2021. "Using an Artificial Neural Networks Experiment to Assess the Links among Financial Development and Growth in Agriculture," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
- Phang, Sock-Yong, 2003. "Strategic development of airport and rail infrastructure: the case of Singapore," Transport Policy, Elsevier, vol. 10(1), pages 27-33, January.
- Pradhan, Rudra P. & Bagchi, Tapan P., 2013. "Effect of transportation infrastructure on economic growth in India: The VECM approach," Research in Transportation Economics, Elsevier, vol. 38(1), pages 139-148.
- Alberto Decò & Dan M. Frangopol, 2011. "Risk assessment of highway bridges under multiple hazards," Journal of Risk Research, Taylor & Francis Journals, vol. 14(9), pages 1057-1089, October.
- Ji-Myong Kim & Kag-Cheon Ha & Sungjin Ahn & Seunghyun Son & Kiyoung Son, 2020. "Quantifying the Third-Party Loss in Building Construction Sites Utilizing Claims Payouts: A Case Study in South Korea," Sustainability, MDPI, vol. 12(23), pages 1-13, December.
- Hyeongjun Kim & Hoon Cho & Doojin Ryu, 2020. "Corporate Default Predictions Using Machine Learning: Literature Review," Sustainability, MDPI, vol. 12(16), pages 1-11, August.
- Sungjin Ahn & Taehui Kim & Ji-Myong Kim, 2020. "Sustainable Risk Assessment through the Analysis of Financial Losses from Third-Party Damage in Bridge Construction," Sustainability, MDPI, vol. 12(8), pages 1-15, April.
- Short, Jack & Kopp, Andreas, 2005. "Transport infrastructure: Investment and planning. Policy and research aspects," Transport Policy, Elsevier, vol. 12(4), pages 360-367, July.
- Sang-Guk Yum & Sungjin Ahn & Junseo Bae & Ji-Myong Kim, 2020. "Assessing the Risk of Natural Disaster-Induced Losses to Tunnel-Construction Projects Using Empirical Financial-Loss Data from South Korea," Sustainability, MDPI, vol. 12(19), pages 1-15, September.
- Chuk Kyo Kim, 2019. "Economic Development of Korea," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 11117, August.
- Ji-Myong Kim & Taehui Kim & Sungjin Ahn, 2020. "Loss Assessment for Sustainable Industrial Infrastructure: Focusing on Bridge Construction and Financial Losses," Sustainability, MDPI, vol. 12(13), pages 1-16, July.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Ji-Myong Kim & Junseo Bae & Seunghyun Son & Kiyoung Son & Sang-Guk Yum, 2021. "Development of Model to Predict Natural Disaster-Induced Financial Losses for Construction Projects Using Deep Learning Techniques," Sustainability, MDPI, vol. 13(9), pages 1-12, May.
- Ji-Myong Kim & Kag-Cheon Ha & Sungjin Ahn & Seunghyun Son & Kiyoung Son, 2020. "Quantifying the Third-Party Loss in Building Construction Sites Utilizing Claims Payouts: A Case Study in South Korea," Sustainability, MDPI, vol. 12(23), pages 1-13, December.
- BADALYAN, Gohar & HERZFELD, Thomas & RAJCANIOVA, Miroslava, 2014.
"Transport Infrastructure And Economic Growth: Panel Data Approach For Armenia, Georgia And Turkey,"
Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 17(2), pages 1-10, October.
- Badalyan, Gohar & Herzfeld, Thomas & Rajcaniova, Miroslava, 2014. "Transport infrastructure and economic growth: Panel data approach for Armenia, Georgia and Turkey," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 17(2), pages 22-31.
- Badalyan, Gohar & Herzfeld, Thomas & Rajcaniova, Miroslava, 2014. "Transport infrastructure and economic growth: Panel data approach for Armenia, Georgia and Turkey," 142nd Seminar, May 29-30, 2014, Budapest, Hungary 168922, European Association of Agricultural Economists.
- Ji-Myong Kim & Kwang-Kyun Lim & Sang-Guk Yum & Seunghyun Son, 2022. "A Deep Learning Model Development to Predict Safety Accidents for Sustainable Construction: A Case Study of Fall Accidents in South Korea," Sustainability, MDPI, vol. 14(3), pages 1-17, January.
- Deng, Ping & Lu, Shiqing & Xiao, Hanbin, 2013. "Evaluation of the relevance measure between ports and regional economy using structural equation modeling," Transport Policy, Elsevier, vol. 27(C), pages 123-133.
- Sharif, Arshian & Shahbaz, Muhammad & Hille, Erik, 2019. "The Transportation-growth nexus in USA: Fresh insights from pre-post global crisis period," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 108-121.
- Alam, Khalid Mehmood & Li, Xuemei & Baig, Saranjam & Ghanem, Osman & Hanif, Salman, 2021. "Causality between transportation infrastructure and economic development in Pakistan: An ARDL analysis," Research in Transportation Economics, Elsevier, vol. 88(C).
- Ahmed, Khalid & Bhattacharya, Mita & Qazi, Ahmer Qasim & Ghumro, Niaz Ahmed, 2021. "Transport infrastructure and industrial output in Pakistan: An empirical investigation," Research in Transportation Economics, Elsevier, vol. 90(C).
- Tumbenthung Y. Humtsoe, 2020. "From pathways to roadways: Issues and challenges of road transport in Nagaland," Growth and Change, Wiley Blackwell, vol. 51(3), pages 1417-1436, September.
- Chen, Fanglin & Hao, Xinyue & Chen, Zhongfei, 2021. "Can high-speed rail improve health and alleviate health inequality? Evidence from China," Transport Policy, Elsevier, vol. 114(C), pages 266-279.
- Elena Cigu & Daniela Tatiana Agheorghiesei & Anca Florentina Gavriluță (Vatamanu) & Elena Toader, 2018. "Transport Infrastructure Development, Public Performance and Long-Run Economic Growth: A Case Study for the Eu-28 Countries," Sustainability, MDPI, vol. 11(1), pages 1-22, December.
- Wang, Ling & Wang, Ke & Zhang, Jianjun & Zhang, Di & Wu, Xia & Zhang, Lijun, 2020. "Multiple objective-oriented land supply for sustainable transportation: A perspective from industrial dependence, dominance and restrictions of 127 cities in the Yangtze River Economic Belt of China," Land Use Policy, Elsevier, vol. 99(C).
- Ji-Myong Kim & Taehui Kim & Sungjin Ahn, 2020. "Loss Assessment for Sustainable Industrial Infrastructure: Focusing on Bridge Construction and Financial Losses," Sustainability, MDPI, vol. 12(13), pages 1-16, July.
- Ghosh, Prabir Kumar & Dinda, Soumyananda, 2019. "Revisited the Relationship Between Economic Growth and Transport Infrastructure in India: An Empirical Study," MPRA Paper 116876, University Library of Munich, Germany, revised Feb 2021.
- Radhia Amairia & Bouzid Amaira, 2017. "Transport Infrastructure and Economic Growth: New Evidence from Tunisia an ARDL Bounds Testing Approach," Journal of Infrastructure Development, India Development Foundation, vol. 9(2), pages 98-112, December.
- Arvin, Mak B. & Pradhan, Rudra P. & Norman, Neville R., 2015. "Transportation intensity, urbanization, economic growth, and CO2 emissions in the G-20 countries," Utilities Policy, Elsevier, vol. 35(C), pages 50-66.
- Pradhan, Rudra P. & Bagchi, Tapan P., 2013. "Effect of transportation infrastructure on economic growth in India: The VECM approach," Research in Transportation Economics, Elsevier, vol. 38(1), pages 139-148.
- Pradhan, Rudra P., 2019. "Investigating the causal relationship between transportation infrastructure, financial penetration and economic growth in G-20 countries," Research in Transportation Economics, Elsevier, vol. 78(C).
- Park, Jin Suk & Seo, Young-Joon & Ha, Min-Ho, 2019. "The role of maritime, land, and air transportation in economic growth: Panel evidence from OECD and non-OECD countries," Research in Transportation Economics, Elsevier, vol. 78(C).
- Xu, Meng & Grant-Muller, Susan & Gao, Ziyou, 2015. "Evolution and assessment of economic regulatory policies for expressway infrastructure in China," Transport Policy, Elsevier, vol. 41(C), pages 42-49.
More about this item
Keywords
transportation infrastructure; economic damage; financial loss; insurance claim payout; risk occurrence timing; machine learning; neural network; data classification; risk assessment;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:6376-:d:568519. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.