위치기반 트윗 데이터를 이용한 도심권 추정과 인구의 공간분포 분석

• 영문명: Discovery of Urban Area and Spatial Distribution of City Population using Geo-located Tweet Data
• 발행기관: 한국IT서비스학회
• 저자명: 김태규() 이진규() 조재희()
• 간행물 정보: 『한국IT서비스학회지』한국IT서비스학회지 제18권 제1호, 131~140쪽, 전체 10쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2019.03.30

영문 초록

This study compares and analyzes the spatial distribution of people in two cities using location information in twitter data. The target cities were selected as Paris, a traditional tourist city, and Dubai, a tourist city that has recently attracted attention. The data was collected over 123 days in 2016 and 125 days in 2018. We compared the spatial distribution of two cities according to the two periods and residence status. In this study, we have found a hot place using a spatial statistical model called dart-shaped space division and estimated the urban area by reflecting the distribution of tweet population. And we visualized it as a CDF (cumulative distribution function) curve so that the distance between all the tweets occurrence points and the city center point can be compared for different cities.

목차

1. 서 론

2. 이론적 배경

3. 연구방법

4. 연구결과

5. 결 론

키워드

Geo-tweet Dart-shaped Space Division Urban Area Cumulative Distribution Function