(A) study on the influences of social functions on urban human mobility with scalable approaches = 사회적 기능이 도시 인구 이동에 미치는 영향에 관한 규모가변적 접근 연구

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The quality of life for people in urban regions can be improved by predicting urban human mobility and adjusting urban planning accordingly. In this study, we compared several possible variables to verify whether a gravity model (a human mobility prediction model borrowed from Newtonian mechanics) worked as well in inner-city regions as it did in inter-city regions. We reviewed the resident population, the number of employees, and the number of SNS(Social Network Service) posts as variables for generating mass values for an urban traffic gravity model. We also compared the straight-line distance, travel distance, and the impact of time as possible distance values. We defined the functions of urban regions on the basis of public records and SNS data to reflect the diverse social factors in urban regions. In this process, we conducted a dimension reduction method for the public record data and used a ontology based extraction algorithm and a machine learning-based clustering algorithm for the SNS data. In doing so, we found that functional distance could be defined as the Euclidean distance between social function vectors in urban regions. Finally, we examined whether the functional distance was a variable that had a significant impact on urban human mobility.
Advisors
Park, Juyongresearcher박주용researcherLee, Wonjaeresearcher이원재researcher
Description
한국과학기술원 :문화기술대학원,
Publisher
한국과학기술원
Issue Date
2018
Identifier
325007
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 문화기술대학원, 2018.8,[iii, 44 p. :]

Keywords

functions of regions▼afunctional distance▼ahuman mobility▼athe gravity model▼asocial factors; 지역 기능▼a기능적 거리▼a인구이동▼a중력모델▼a사회적 요소

URI
http://hdl.handle.net/10203/264624
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=827868&flag=dissertation
Appears in Collection
GCT-Theses_Ph.D.(박사논문)
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