Predicting the Impact of High-Speed Rail on Population Change in Local Cities by using a Naive Bayesian Classification-based Artificial Intelligence Model-Reference-Cited by-同舟云学术

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Predicting the Impact of High-Speed Rail on Population Change in Local Cities by using a Naive Bayesian Classification-based Artificial Intelligence Model

Published:2022-03-31 Issue:3 Volume:20 Page:147-156
ISSN:1598-8619
Container-title:The Journal of Korean Institute of Information Technology
language:en
Short-container-title:jkiit

Author:

Kim Hyunjung^ORCID,Kim Kyuseok^ORCID

Publisher

Korean Institute of Information Technology

Reference25 articles.

1. Statistics Korea, https://www.index.go.kr/potal/main/EachDtlPageDetail.do?idx_cd=1428. [accessed: Nov. 30, 2021]

2. 2020 Population and Housing Census, https://www.census.go.kr/eng/html/index_en.jsp. [accessed: Nov. 29, 2021]

3. Short- and long-term population and project implications of high-speed rail for served cities: analysis of all served Spanish cities and re-evaluation of Ciudad Real and Puertollano

4. Shrinking cities in growing China: Did high speed rail further aggravate urban shrinkage?

5. Effects of High-speed Rail’s Competition Strategies on Price and Share in the Transportation Market

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