ScholarWorks@Hanyang University: Sung, Hyun gun

Detailed Information

Sung, Hyun gun (성현곤)

GRADUATE SCHOOL OF URBAN STUDIES (DEPARTMENT OF URBAN AND REGIONAL DEVELOPMENT)

Research Area: 도시계획

Tel 0222200276
Homepage

ResearcherID ORCiD Scopus Google Scholar ID ResearchGate

Keyword

COVID19:5||주택가격:4||정보통신기술:4||Housing Price:4||Driving Time:3||Quality of Life:3||built environment:3||삶의 질:3||생활시간조사:2||urban design:2||소매업 매출액:2||접근성:2||접근성 지수:2||Walking activity:2||대중교통 이용자수:2||Sport Activity:2||스포츠 유형:2||스포츠 활동:2||승용차 이용 시간:2||Sport Type:2||Community Detection:2||가구통행실태조사:2||도시계획:2||Station Area:2||Transit Ridership:2||Accessibility Index:2||Living Time Survey:2||Research Trend:2||역세권:2||Living Zones:2||통행패턴:2||공동체 식별:2||Travel Pattern:2||보행친화도:2||Subway:2||Retail Sales:2||Moderating Effect:2||Accessibility:2||Jane Jacobs:2||Household Travel Survey:2||Walkability:2||생활권:2||Infrastructure:1||Intra and interurban mobility:1||Jobs and housing balance:1||Journal of the Korea Planners Association:1||Land Use Change:1||Life Satisfaction:1||MERS:1||Mack Joong Choi:1||Mediating Effect:1||Metropolitan City:1||Middle East Respiratory Syndrome:1||Middle East Respiratory Syndrome (MERS):1||Mitigating effect:1||MixedUse Development:1||Mixeduse:1||Modal share:1||Moderating Association Effect:1||Mortgage Loan Regulation:1||Multilevel balance:1||Multinominal Logit Model:1||Multiscale balance:1||Multilevel Ordered Logit Model:1||Mutuality:1||Negative Binomial Regression Analysis:1||Negative binomial regression model:1||Neighboring physical environments:1||Network Analysis:1||New town:1||Nonpharmaceutical interventions:1||Offline Sales:1||Online Sales:1||Panel model:1||Path Modeling:1||Physical Environment:1||Physical Urban Form:1||Planning elements:1||Poisson Model:1||Population Decentralization:1||Prepandemic travel mobility:1||Production Function:1||Proximity:1||Public Transit Ridership:1||Public bicycle:1||Public health:1||Rail Station Area Development:1||Ratio of Loantovalue:1||Research Field:1||Residential built environment:1||Retail Sale:1||Retail sales:1||Ridership:1||Road Transport:1||Robustness:1||Rosario:1||Selfreported Obesity:1||Selfsufficiency:1||Seoul:1||Service, Sales:1||SinglePerson Household:1||Social distancing:1||South Korea:1||SpaceTime  Cube  Model:1||SpacioTemporal  Transformation  of Retail  Trade  Areas:1||Spatial Autocorrelation:1||Spatial Economic Models:1||Spatial Structure:1||Spatial dependence:1||Spatial heterogeneity:1||Spatial heterogenicity:1||Spatial spillover impacts:1||Sports Time:1||Store Shopping:1||Streetlevel form:1||Structural Equation Model:1||Subjective Health Status:1||Substitution:1||Suicide rate:1||Survival Model:1||Sustainable commuting behavior:1||Temporal Reaction:1||Territorial and Urban Planning:1||Text Mining:1||Theft and Violence:1||Time Lag Effect:1||Timeseries Data:1||Tobit Model:1||Trading Volume:1||Transit oriented development:1||Transit Use:1||Transit modes:1||TransitOriented Development:1||Transitoriented development:1||Travel Purpose:1||Twoway random effect model:1||Uncertainty:1||Urban Economy:1||Urban Park:1||Urban design:1||Urban vitality:1||Urban vulnerability:1||Value capture:1||Vehicle mobility:1||Zoning:1||compact development:1||connectivity:1||delay effect:1||density:1||landuse mix:1||mobile phone data:1||multilevel regression model:1||negative binomial regression:1||offline market:1||online market:1||park type:1||pedestrian safety:1||pedestrian volume:1||pedestrianvehicle crash:1||physical feature of urban park:1||retail sales:1||social network analysis:1||spatial proliferation:1||spatial statistics:1||substitution effect:1||urban diversity:1||urban form:1||urban park visit:1||walking:1||weather:1||거래량:1||경로모형:1||공간계량모형:1||공간구조:1||공간적 이질성:1||공간적 자기상관:1||공포:1||구조방정식:1||국토 및 도시계획:1||국토계획:1||기반시설:1||기상요인:1||긴급재난문자:1||낮과 밤:1||네트워크 분석:1||다수준 순위 로짓모형:1||다항로짓모형:1||담보대출규제:1||대도시:1||대중교통 이용:1||대중교통 중심 개발(TOD):1||대중교통이용:1||대체관계:1||도로교통:1||도시경제:1||도시철도:1||동적패널회귀:1||동종소매업:1||맞춤형 교통 정책:1||매개효과:1||매출:1||메르스:1||물리적 도시형태:1||물리적 환경:1||범죄발생:1||복합개발:1||분석방법론:1||불확실성:1||삶의 만족도:1||삼중차분법:1||상생관계:1||상호관계:1||생산함수:1||생존모형:1||서비스업종:1||소요기간:1||수요결정요인:1||수요관리:1||승용차 이용시간:1||시간적 반응:1||시계열 자료:1||시공간  상권변동:1||시공간큐브모형:1||시설 선호도:1||시차 효과:1||식음업종:1||아리맥스 모형:1||여유 시간:1||역세권 개발:1||연구경향:1||연구동향:1||연구영역:1||오차수정 자기회귀시차모형:1||오프라인 매출:1||오프라인 쇼핑:1||온라인 매출:1||운동시간:1||유동인구:1||음이항 회귀분석:1||이원확률효과모형:1||이종소매업:1||이중차분 패널회귀모형:1||인구분산화:1||인접성:1||인터넷 쇼핑:1||자료수집방법:1||재해 취약성:1||절도와 폭력:1||젠트리피케이션:1||조절연관효과:1||조절효과:1||조절효과 ICTs (Information Communication Technologies):1||주관적 건강수준:1||주관적 체형:1||주택담보인정비율:1||주택재정비사업:1||중동호흡기증후군:1||지구상권:1||지리가중회귀모형:1||지하철:1||최막중:1||텍스트마이닝:1||토빗 모형:1||토지이용 변화:1||통근수단선택:1||통행목적:1||판매업종:1||패널모형:1||포아송 모형 ICT:1||1인 가구:1||확진자 정보:1||ARIMAX:1||ARIMAX Modeling:1||Analysis Methodology:1||Bicycle sharing:1||COVID19 cases:1||COVID19 pandemic:1||Causal impacts:1||Coexistence:1||Commuting Mode Choice:1||Confirmed Information:1||Crime Incidence:1||Customized Transport Policy:1||DataCollection Method:1||Day and Night:1||Decentralization:1||Demand Determinant Factor:1||Demand Management:1||DifferenceinDifferences Panel Regression Model:1||Differenceindifferenceindifferences Method:1||Disaster Vulnerability:1||Disease transmission:1||District Trading Areas:1||Duration Period:1||Dynamic Panel Regression:1||EShopping:1||Emergency Alert Text:1||Error Correction AutoRegressive Distributed Lag Model:1||Facility Preference:1||Fear:1||Floating Population:1||Food and Beverage:1||Free Time:1||Gentrification:1||Geographically Weighted Regression Model:1||Global pandemic:1||Heterogeneous Retail:1||Hierarchical Tobit model:1||Homogeneous Retail:1||Housing Regeneration Project:1||ICTs (Information Communication Technologies):1||Information and Communication Technology:1||

RSS_1.0 RSS_2.0 ATOM_1.0

222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1366

Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.

Detailed Information

Keyword

BROWSE