Urban Big Data: Social Costs Analysis for Urban Planning with Crowd-sourced Mobile Sensing Data

Dongyoun Shin

doi:10.13161/kibim.2023.13.4.106

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2023 Vol.13, Issue 4 Preview Page

Research Article

Urban Big Data: Social Costs Analysis for Urban Planning with Crowd-sourced Mobile Sensing Data 도시 빅데이터: 모바일 센싱 데이터를 활용한 도시 계획을 위한 사회 비용 분석

31 December 2023. pp. 106-114

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Abstract

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.

Keywords

Urban Big Data

Social Cost

Urban Planning

Crowdsourcing

Mobile Sensing

키워드

도시빅데이터

사회적 비용

도시계획

크라우드소싱

모바일센싱

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Information

Publisher :Journal of KIBIM
Publisher(Ko) :한국BIM학회
Journal Title :Journal of KIBIM
Journal Title(Ko) :한국BIM학회논문집
Volume : 13
No :4
Pages :106-114
Received Date : 2023-12-05; 2023-12-15
Accepted Date : 2023-12-19
DOI :https://doi.org/10.13161/kibim.2023.13.4.106

Journal of KIBIM ISSN:2288-1697(Print) 2288-1697(Online) 한국BIM학회논문집

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