Current Result Document : 2 / 2
| 한글제목(Korean Title) |
지하철 이용패턴을 통한 역단위 장소성 추론 |
| 영문제목(English Title) |
Inference of Station-unit Placeness through a Subway Ridership Pattern |
| 저자(Author) |
김창희
한수민
이동만
Changhui Kim
Sumin Han
Dongman Lee
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| 원문수록처(Citation) |
VOL 49 NO. 01 PP. 1794 ~ 1796 (2022. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Understanding the placeness of a city plays an important role in effective city planning and management. There have been studies using LTE, taxi usage, and satellite images to infer placeness. There was a study using subway data, but it was limited to predicting subway demand from nearby environments. In this study, we aim to prove that it is possible to infer the station-unit placeness from the subway ridership pattern and suggest a model to infer the commercial index. Clustering and regression were used to prove the correlation between data. Linear regression, support vector regression, random forest regression, and deep neural networks were used to propose an inference model, resulting in an R2 score of about 0.6 and MAE of about 0.13. |
| 키워드(Keyword) |
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