Prediction Power of Logistic Regression (LR) and Multi-Layer Perceptron (MLP) Models in Exploring Driving Forces of Urban Expansion to Be Sustainable in Estonia
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Panrawee Rungskunroch & Yuwen Yang & Sakdirat Kaewunruen, 2020. "Does High-Speed Rail Influence Urban Dynamics and Land Pricing?," Sustainability, MDPI, vol. 12(7), pages 1-18, April.
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.- Seham S. Al-Alola & Haya M. Alogayell & Ibtesam I. Alkadi & Soha A. Mohamed & Ismail Y. Ismail, 2021. "Recognition and Prediction of Land Dynamics and Its Associated Impacts in Al-Qurayyat City and along Al-Shamal Train Pathway in Saudi Arabia," Sustainability, MDPI, vol. 13(17), pages 1-25, September.
- Kyungtaek Kim & Junghoon Kim, 2020. "The Impact of High-Speed Railways on Unequal Accessibility Based on Ticket Prices in Korea," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
- Sakdirat Kaewunruen & Shijie Peng & Olisa Phil-Ebosie, 2020. "Digital Twin Aided Sustainability and Vulnerability Audit for Subway Stations," Sustainability, MDPI, vol. 12(19), pages 1-17, September.
- Chao Ji & Yanke Yao & Jianqiang Duan & Wenxing Li, 2022. "Sustainable Mechanism of the Entrusted Transportation Management Mode on High-Speed Rail and the Impact of COVID-19: A Case Study of the Beijing–Shanghai High-Speed Rail," Sustainability, MDPI, vol. 14(3), pages 1-24, January.
- Shanlang Lin & Prithvi Raj Dhakal & Zhaowei Wu, 2021. "The Impact of High-Speed Railway on China’s Regional Economic Growth Based on the Perspective of Regional Heterogeneity of Quality of Place," Sustainability, MDPI, vol. 13(9), pages 1-24, April.
- Rungskunroch, Panrawee & Jack, Anson & Kaewunruen, Sakdirat, 2021. "Benchmarking on railway safety performance using Bayesian inference, decision tree and petri-net techniques based on long-term accidental data sets," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
More about this item
Keywords
logistic regression model; multi-layer perceptron neural network model; driving forces of urban expansion; dynamic LULC changes; Estonia;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:14:y:2021:i:1:p:160-:d:710240. 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.