도시 빅데이터

• 영문명: Urban Big Data: Social Costs Analysis for Urban Planning with Crowd-sourced Mobile Sensing Data
• 발행기관: 한국BIM학회
• 저자명: 신동윤(Shin, Dongyoun)
• 간행물 정보: 『KIBIM Magazine』13권 3호, 106~114쪽, 전체 9쪽
• 주제분류: 공학 > 건축공학
• 파일형태: PDF
• 발행일자: 2023.09.30

영문 초록

In this study, we developed a method to quantify urban social costs using mobile sensing data, providing a novel approach to urban planning. By collecting and analyzing extensive mobile data over time, we transformed travel patterns into measurable social costs. Our findings highlight the effectiveness of big data in urban planning, revealing key correlations between transportation modes and their associated social costs. This research not only advances the use of mobile data in urban planning but also suggests new directions for future studies to enhance data collection and analysis methods.

목차

1. Introduction

2. Method 1: social costs estimation

3. Method

4. Discussion and Concluding

References

키워드

도시빅데이터 사회적 비용 도시계획 크라우드소싱 모바일센싱 Urban Big Data Social Cost Urban Planning Crowdsourcing Mobile Sensing