All Issue

2022 Vol.40, Issue 4 Preview Page

Article

Framework for Key Performance Index of Use Cases in Smart Transportation Using Text Mining: Focusing on Daegu Metropolitan City

텍스트마이닝 기법을 활용한 스마트시티 교통부문 Use Case 평가지표 선정 방법론: 대구광역시 스마트시티 사례를 중심으로

Wooyoung GO1
,
Jungyeol HONG2*
고 우영1
,
홍 정열2*
1Master Student, Department of Transportation Engineering, Keimyoung University, Daegu 42601, Korea
2Assistant Professor, Department of Transportation Engineering, Keimyoung University, Daegu 42601, Korea
1계명대학교 도시계획및교통공학과 석사과정
2계명대학교 도시계획및교통공학과 조교수
*Corresponding Author
31 August 2022. pp. 449-461
PDF XML Citation
Abstract

It is essential to evaluate the effectiveness of each Use Case to implement Use Cases in smart cities’ transportation sectors, such as MaaS, DRT, and Smart parking, and to improve their technology continuously. However, there are currently few attempts at various statistical or data-based methodologies in South Korea to develop evaluation indicators for smart city Use Case service. In this study, big text data was constructed through the collection of research documents related to Use Case in the smart city transportation sector published as one of the various methodologies. In addition, it suggested establishing a new framework for selecting quantitative evaluation indicators through text mining analysis. Each Use Case’s keywords or main topics were derived using text mining’s text frequency-inverse document frequency (TF-IDF) analysis. A list of indicators that can be evaluated was established based on the text database. IPA (Importance-Performance Analysis) analysis was performed on the indicators of each Use Case, and significant evaluation indicators were selected. The framework for selecting indicators presented in this study has the advantage of identifying the main goals of the Use Case service and includes the possibility of quantifying evaluation indicators and the ease of data collection. It is expected to select the index of Use Cases in other smart cities in the future based on the text mining approach presented in this study. Furthermore, it can determine the investment priority of smart city policies by estimating the socio-economic effect through quantitative indicators.

Keywords
evaluation index
IPA
smart city
text mining
TF-IDF

MaaS, DRT, Smart parking 등과 같은 스마트시티 교통부문의 Use Case 서비스 구현과 지속적인 기술력 향상을 위해서는 각 Use Case의 성과 평가가 필수적이다. 그러나 현재 국내에는 스마트시티 Use Case 서비스 평가지표 개발을 위해 다양한 통계적 또는 데이터 기반의 접근방법론의 시도가 미미한 실정이다. 따라서 본 연구에서는 다양한 접근방법 중 하나로 국내외에서 발표된 스마트시티 교통부문의 Use Case 관련 연구 문헌들의 수집을 통하여 텍스트 빅데이터를 구축하고 데이터 마이닝 분석을 통해 정량적 평가지표를 선정하는 프레임워크의 구축을 제시하고자 하였다. 텍스트마이닝의 단어빈도-역문서빈도 분석 결과를 이용하여 각 Use Case의 핵심어 또는 핵심토픽을 도출하였으며, 이들을 근거로 평가 가능한 지표 리스트를 구축하였다. 각 Use Case의 지표들에 대하여 IPA(Importance-Performance Analysis) 분석을 수행하여, 유의한 최종 평가지표를 선정하고자 하였다. 본 연구에서 제시한 지표선정을 위한 접근방법의 틀은 Use Case 서비스의 주요 목표를 파악하고 평가지표 정량화 가능성 및 데이터 수집의 용이성을 반영할 수 있다는 장점이 있다. 향후에는 본 연구에서 제시한 접근방법을 기반으로 스마트시티 타 부문 Use Case의 지표 선정 시 적용이 가능할 것으로 기대하며, 정량적 지표를 통한 사회경제 파급효과 추정으로 스마트시티 정책의 투자 우선순위를 결정하는데 이용할 수 있을 것이다.

키워드
평가지표
IPA 분석
스마트시티 교통부문
텍스트마이닝
단어빈도-역문서빈도
References
1
Anand A., Dsilva Winfred Rufuss D., Rajkumar V., Suganthi L. (2017), Evaluation of Sustainability Indicators in Smart Cities for India Using MCDM Approach, Energy Procedia, India, 141, 211-215. 10.1016/j.egypro.2017.11.094
2
Battarra R., Gargiulo C., Zucaro F., Tremiterra M. R. (2018), Smart Mobility in Italian Metropolitan Cities: A Comparative Analysis through Indicators and Actions, In Sustainable Cities and Society, 41, 556-567. 10.1016/j.scs.2018.06.006
3
Chae Y., Lee S. (2018), Identification of Strategic Fields for Developing Smart City in Busan Using Text Mining, Journal of Digital Convergence, 16(11), 1-15.
4
Cho H. M., Yoo D. C., Lee S. W., Jang H. I. (2020), Evaluation Indicators and Case Study for Smart City Service Based on Axiomatic Design, Journal of Korean Institute of Architectural Sustainable Environment and Building Systems, 14(6), 565-576.
5
Han S. H., Shin Y. S., Yu I. J., Lee J. Y. (2018), A Study on the Korea Smart City Certification Index and Demonstration Authentication, Journal of the Korea Academia-Industrial Cooperation Society, 19(1), 688-698.
6
Han S. S., Yang D. W. (2017), Analysis of Research Trends Related to Start-Up Using Text Mining, Asia-Pacific Journal of Business Venturing and Entrepreneurship, 12(5), 1-12. 10.16972/apjbve.12.5.201710.1
7
Hara M., Nagao T., Hannoe S., Nakamura J. (2016), New Key Performance Indicators for a Smart Sustainable City, Sustainability, 8(3), 206. 10.3390/su8030206
8
Hong J., Tamakloe R., Lee G., Park D. (2019), Insight from Scientific Study in Logistics Using Text Mining, Transportation Research Record, 2673(4), 97-107. 10.1177/0361198119834905
9
Hu Q., Zheng Y. (2021), Smart City Initiatives: A Comparative Study of American and Chinese Cities, Journal of Urban Affairs, 43(4), 504-525. 10.1080/07352166.2019.1694413
10
Jo S. H., Lee S. H., Jo S. S., Leem Y. T. (2021), An Analysis on the Smart City Assessment of Korean Major Cities: Using STIM Framework, Journal of the Korea Contents Association, 21(3), 157-171.
11
Jo T. H. (2001), The Concept and Application of Text Mining, Journal of Scientific & Technological Knowledge Infrastructure, 76-85.
12
Kim J. Y. (2016), Information Visualization Methods for Personalized Product Reviews, Department of Industrial ‧ Information System Engineering Graduate School of Soongsil University, South Korea.
13
Kim S. H., Chang N. S., Kim K. W. (2021), Academic Trend Analysis of Shared Economy Based on Text Mining and Network Analysis, Journal of the Korean Entrepreneurship Society, 16(2), 15-34.
14
Kim S. U., Cho H. J., Kang J. Y. (2016), The Status of Using Text Mining in Academic Research and Analysis Methods, Journal of Information Technology and Architecture, 13(2), 317-329.
15
Krisna A., Darmawan N., Mohammad S., Deni M., Rusdah R. (2020), Analysis of Smart City Indicators Based on Prisma: Systematic Review, IOP Conference Series: Materials Science and Engineering, 725(1) 10.1088/1757-899X/725/1/012113
16
Lee J. Y., Kim S. S., Kim E. L., Park J. S., Lee M. Y., Lee S. W. (2016), A Study on Construction and Application Approaches of Smart City Maturity and Potential Diagnostic Models, Korea Research Institute for Human Settlements, 16(15), 1-185. 10.12815/kits.2016.15.5.020
17
Lee M. S., Leem C. S. (2019), A Study on Performance Evaluation of the Korea Smart City Demonstration Service, The Journal of Korean Institute of Communications and Information Sciences, 1992-2002. 10.7840/kics.2019.44.10.1992
18
Lee S. J., Kim H. J. (2009), Keyword Extraction from News Corpus Using Modified TF-IDF, The Journal of Society for e-Business Studies, 14(4), 59-73.
19
Li M., Ch’ng E., Chong A., See S. (2016), The New Eye of Smart City: Novel Citizen Sentiment Analysis in Twitter, In 2016 International Conference on Audio, Language and Image Processing (ICALIP), 557-562. 10.1109/ICALIP.2016.7846617
20
Lim C., Cho G. H., Kim J. (2021), Understanding the Linkages of Smart-city Technologies and Applications: Key Lessons from a Text Mining Approach and a Call for Future Research, Technological Forecasting and Social Change, 170, 120893. 10.1016/j.techfore.2021.120893
21
Lim S. Y., Lim Y. M., Lee J. Y. (2014), Study on the Trends of U-City and Smart City Researches Using Text Mining Technology, Journal of Korean Society for Geospatial Information Science, 22(3), 87-97. 10.7319/kogsis.2014.22.3.087
22
Park J. Y., Suh C. W. (2015), Analysis of Changes in the Housing Market Using TF-IDF Weight Model, Korea Real Estate Academy Review, 0(63), 46-58
23
Park S. Y., Jo Y. T., Lee S. H. (2018), A Study on Construction Plan of Smart City Through Practicability Evaluation of U-City Infrastructure and Service, Land & Housing Institute.
24
Sharifi A. (2019), A Critical Review of Selected Smart City Assessment Tools and Indicator Sets, Journal of Cleaner Production, Japan, 233, 1269-1283. 10.1016/j.jclepro.2019.06.172
25
Tan A. H. (1999), Text Mining: The State of the Art and the Challenges, In Proceedings of the PAKDD 1999 Workshop on Knowledge Discovery from Advanced Databases, 65-70.
Information
  • Publisher :Korean Society of Transportation
  • Publisher(Ko) :대한교통학회
  • Journal Title :Journal of Korean Society of Transportation
  • Journal Title(Ko) :대한교통학회지
  • Volume : 40
  • No :4
  • Pages :449-461
  • Received Date : 2022-01-24
  • Revised Date : 2022-02-14
  • Accepted Date : 2022-08-19
  • DOI :https://doi.org/10.7470/jkst.2022.40.4.449
Journal Informaiton Journal of Korean Society of Transportation Journal of Korean Society of Transportation
Archives
: 2015 Vol.34~
  • scopus
  • NRF
  • KOFST
  • crossref cited-by
  • crosscheck
  • orcid
  • open access
  • ccl
Journal Informaiton Journal Informaiton - close