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What Determines Mixed Land Use?

Analysis of Big Data on Commercial Districts in Seoul, South Korea Each commercial district has a different degree of mixed land use. Some commercial areas are a huge cluster with monotonous retail use, while others consists of a wide variety of land uses including residential or office uses as well. The specialization or diversity strategiesContinue reading “What Determines Mixed Land Use?”

Resilience in demand for public transportation during the pandemic

The concept of resilience and its applicability to ecological, social, and business systems are capable of restructuring and recovering from a perturbation that corroborates (Holling, 1974; Holling and Gunderson, 2002; Walker et al., 2004)The associated external shocks, such as environmental issues, oil shocks, or congestion, contribute significantly to the difference in choices observed in travelContinue reading “Resilience in demand for public transportation during the pandemic”

Hot and Cold Spots in COVID-19 Patient Clusters

This article aims to distinguish between areas which are frequently visited by those infected with COVID-19 from those that are not and visualize their distribution using data about the locations of those who have been diagnosed as being infected by COVID-19. The Korean government collects data, such as mobile phone location and credit card usageContinue reading “Hot and Cold Spots in COVID-19 Patient Clusters”

De Facto population density and the location of AEDs: Are they proportional to each other?

Is the spatial distribution of AEDs proportional to the static population or the De Facto population? The purpose of this study is to investigate the correlation between the distribution of automated external defibrillators (AED) installed in public spaces and the population density in Seoul. Unlike the past, when the residential population could only be measuredContinue reading “De Facto population density and the location of AEDs: Are they proportional to each other?”

Analysis of Changes in the Number of Subway Passengers during the COVID-19 Pandemic Using the K-shape Clustering Algorithm

Since the first confirmed case of COVID-19 in South Korean in January 2020, there has been a great deal of fear and anxiety around the possibility of COVID-19 transmission when using public transportation, such as subways. In this study, I used the K-shape clustering algorithm to determine how public transportation users’ ridership changed in responseContinue reading “Analysis of Changes in the Number of Subway Passengers during the COVID-19 Pandemic Using the K-shape Clustering Algorithm”

자기 소개(예제 글)

이 글은 원래 Blogging University의 일부로 발행된 예제 글입니다. 열 가지 프로그램 중 하나에 등록하고 블로그를 올바르게 시작하세요. 회원님은 오늘 글을 공개하려고 합니다. 블로그가 어떻게 보이는지 걱정하지 마세요. 아직 이름을 정하지 않았거나 부담감이 느껴지더라도 걱정하지 마세요. “새 글” 버튼을 클릭하고 접속한 이유를 설명해 주세요. 왜 그렇게 해야 하나요? 새로운 독자들에게 컨텍스트를 제공하기 때문입니다. 무엇을 하고Continue reading “자기 소개(예제 글)”