인천국제공항에 관한 소비자 관심 트랜드빅데이터 시각화 분석
The Analysis of Big Data Visualization for Consumer Interest Trend to Incheon Internationl Airport
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Visualization of Big Data is very useful because it is represented by pictures, charts, images and so on that can be easily understood by the public. Therefore, the purpose of this study is to derive the actual trend of interest of customers by executing visualization analysis by social data big data for Incheon International Airport. As a result, in the metrics chart for visualization and the word tree analysis, the reference -> line -> ideal and specialty -> callvan -> network were shown as high interest. For suppliers, it is necessary to give priority to detailed guidance information on the waiting situation and professional callvan in transportation. In the Ward Cloud visualization analysis, interest in departure is the most important, followed by time, passenger, travel, and travel. Incheon International Airport currently provides such services. Therefore, it is necessary for the airport provider to meet customers' desire for departure procedures, time and travel passenger situation. In the ego network, customers were most interested in aviation. Suppliers need to provide customers with comparable detailed information about the airport's aircraft size, facilities, procedures, and service offerings. In addition, detailed and differentiated PR of airline schedules, airline schedules, etc. will be needed.
Abstract
Visualization of Big Data is very useful because it is represented by pictures, charts, images and so on that can be easily understood by the public. Therefore, the purpose of this study is to derive the actual trend of interest of customers by executing visualization analysis by social data big data for Incheon International Airport. As a result, in the metrics chart for visualization and the word tree analysis, the reference -> line -> ideal and specialty -> callvan -> network were shown as high interest. For suppliers, it is necessary to give priority to detailed guidance information on the waiting situation and professional callvan in transportation. In the Ward Cloud visualization analysis, interest in departure is the most important, followed by time, passenger, travel, and travel. Incheon International Airport currently provides such services. Therefore, it is necessary for the airport provider to meet customers' desire for departure procedures, time and travel passenger situation. In the ego network, customers were most interested in aviation. Suppliers need to provide customers with comparable detailed information about the airport's aircraft size, facilities, procedures, and service offerings. In addition, detailed and differentiated PR of airline schedules, airline schedules, etc. will be needed.
참고문헌 (26)
- 곽상규, "공항서비스 만족도 영향 요인에 관한 연구", 석사, 공기업정책, pp.2017
- 김영진, "빅데이터를 활용한 인천국제공항 단기주차장 교통흐름 관리방안 연구", 한국SCM학회지, 16(1), pp.39~48 (2016), 한국SCM학회
- 김웅이, "항공여행객들의 공항이용 분석을 통한 공항 선택행태에 관한 연구", 한국항공경영학회 춘계 학술발표논문집, pp.431~432 (2013)
- 김형년, "빅데이터 비주얼라이제이션 사례분석 - 시각화 표현 방식을 중심으로 -", Journal of Integrated Design Research, 13(4), pp.125~136 (2014), 디자인연구소[DOI]
- 김현정, "항공산업 미래유망분야 선정을 위한 텍스트 마이닝 기반의 트렌드 분석", 지능정보연구, 21(1), pp.65~82 (2015), 한국지능정보시스템학회
- "인천국제공항" (2018), 두산백과[URL]
- 항공분야 빅데이터의 정책적 활용방안 연구, "박진서", 한국교통연구원, 1~218 (2014)
- 변정윤, "사용자 의도 기반 정량적 빅데이터 시각화 가이드라인 툴", 정보처리학회 논문지, 5(6), pp.261~266 (2016), 한국정보처리학회[DOI]
- 오익근, "빅데이터 분석을 통한 한국관광 인식에 관한 연구", (사)한국관광학회 국제학술대회, pp.595~602 (2015)
- 이영혁, "고령화 사회 신중년층 항공여객의 특성 연구: 인천국제공항을 중심으로", 사회과학연구, 24(2), pp.191~216 (2017), 사회과학연구원[DOI]
- 임재필, "ASQ 경쟁력 강화를 위한 인천국제공항의 서비스 전략 방안에 관한 연구", 경영경제연구, 34(2), pp.28~55 (2011)
- 인천공항 빅데이터 적용성 연구, "인천공항공사연구소", 1~10 (2017)
- 장순자, "국내 수도권 복수공항 시스템의 서비스에 관한 연구 : 한국인, 중국인, 일본인을 중심으로", 박사, 경영학, pp.2011
- 정명재, "SNS 빅데이터를 활용한 철도관광 이용객들의 반응 조사", 한국철도학회 학술발표대회 논문집, pp.456~461 (2014)
- 빅데이터 분석을 통한 청주국제공항 수요 창출방안 모색, "정상철", 충북개발원, 1~88 (2014)
- 최광선, "빅데이터 시각화", 한국컴퓨터정보학회지, 21(1), pp.33~43 (2013)
- 홍지숙, "소셜미디어 빅데이터를 활용한 항공사 이미지 변화 분석: K항공의 램프리턴을 중심으로", 관광연구저널, 30(6), pp.119~133 (2016), 한국관광연구학회[DOI]
- 황욱선, "빅데이터에 의한 해상관광의 관심 트랜드 분석", 호텔리조트연구, 16(3), pp.125~145 (2017), 한국호텔리조트학회
- 황욱선, "빅데이터 활용에 의한 리조트 관광객의 소비성향 분석", 호텔리조트연구, 16(2), pp.5~26 (2017), 한국호텔리조트학회
- 황욱선, "양양국제공항에 대한 소비자관심 성향 빅데이터 시각화 분석", 호텔리조트연구, 17(1), pp.27~43 (2018), 한국호텔리조트학회
- Baran, R., "Social Networking in China and the United States : Opportunities for New Marketing Strategy and Customer Relationship Management", AFBE Journal, 4(3), pp.464~481 (2011)
- Daniel K, "Big-Data Visualization" (2013), IEEE Computer Society
- Douglas, L., "The importance of Big Data: A deifnition Gartner", ~ (2012)
- Laroche, M, "To be or not to be in social media: How brand loyalty is affected by social media?", International Journal of Information Management, 33(1), pp.76~82 (2013)
- "Big Data and Analytics Offer New Opportunities for Airport Optimization" (2015)[URL]
- Tom Garside, "Big Data In Airport Operations", ART Workshop 'Airport Capacity'–21stSeptember 2016 (2016), university of virginia
