Recently the concentration of fine dust and ultra fine dust becomes so bad, which seriously threatens the health and even the life of people. So, government started to investigate several ways to reduce the amount of fine dust and ultra fine dust. From a few years ago it has been known that ships anchored at port emit a lot of pollution and seriously affect air quality of neighboring cities. To reduce the pollution emitted by ship AMP (Alternative Maritime Power Supply) has been proposed, which uses the electricity instead of bunker C oil or diesel. Many developed countries already installed AMP to improve air quality in port area. Korea is in the stage of planning to install AMP at port. However, there are many complicated problems to be handled before AMP installation. Due to huge initial cost and long period of construction ship owner and habour operating company are reluctant to AMP installation. And there are serious technological difficulties in constructing AMP in existing harbour. Lack of AMP core technology and operational difficulties of AMP are also big challenges to be conquered. In this study SWOT/AHP method is used to find strategic and efficient ways to handle above complicated challenges and then to vitalize the AMP installation.

The purpose of this paper is to find out how each districts(Gu) of Seoul are related based on the apartment price trends. All the data used in this paper comes from a public data sources, Seoul apartments transaction data provided by ‘Ministry of Land Infrastructure and Transport Korea’ and the apartments properties from NAVER’s real estate service. To analyze the similarities between the price trends of each apartments, this study uses FastDTW algorithm which is quite popular in time series analysis domain. After figured out the distance matrix from FastDTW, this study uses Hierarchical Clustering algorithm and Chi-squared test to compare each districts’ relationship. The analysis result shows that which districts in Seoul are similar and which districts are not.