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  <title>ScholarWorks Collection:</title>
  <link rel="alternate" href="https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/136" />
  <subtitle />
  <id>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/136</id>
  <updated>2026-07-04T03:45:31Z</updated>
  <dc:date>2026-07-04T03:45:31Z</dc:date>
  <entry>
    <title>Factors associated with transit fare savings through the integrated fare system: A spatiotemporal perspective</title>
    <link rel="alternate" href="https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211925" />
    <author>
      <name>Kim, Saehim</name>
    </author>
    <author>
      <name>Han, Youngjun</name>
    </author>
    <author>
      <name>Im, Seungbin</name>
    </author>
    <author>
      <name>Minarta, Ria Roida</name>
    </author>
    <author>
      <name>Ko, Joonho</name>
    </author>
    <id>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211925</id>
    <updated>2026-04-02T23:30:17Z</updated>
    <published>2026-07-01T00:00:00Z</published>
    <summary type="text">Title: Factors associated with transit fare savings through the integrated fare system: A spatiotemporal perspective
Authors: Kim, Saehim; Han, Youngjun; Im, Seungbin; Minarta, Ria Roida; Ko, Joonho
Abstract: Implemented in Seoul, South Korea in 2004, the integrated public transit fare system allows passengers to make transfer trips up to four times without additional charges and with fare discounts. This study analyzes the spatiotemporal variability of the fare savings. To this end, one day&amp;apos;s smart card data from a weekday in May 2023 were combined with demographic and transit infrastructure data at the administrative unit level. The results revealed that users could save approximately USD 0.9 per trip on average for transfer trips. Moreover, the Geographically and Temporally Weighted Regression modeling showed that key factors, such as travel distance, income level, and transit accessibility, had different effects on fare savings, depending on the time of the day and area. The fare savings due to the implementation of the integrated fare system were greater in areas with longer travel distances and lower income levels, suggesting enhanced socioeconomic equity. Moreover, they were greater in areas with low public transit accessibility, especially during the morning peak period. The research findings provide valuable insights for policymakers to optimize the public transit fare system, meet the needs of diverse populations within cities, and establish a more inclusive and sustainable public transit system.</summary>
    <dc:date>2026-07-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Exploring the nature of social capital elements in the unequal economic environment</title>
    <link rel="alternate" href="https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212556" />
    <author>
      <name>Kang, Sungik</name>
    </author>
    <author>
      <name>Koo, Ja-Hoon</name>
    </author>
    <id>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212556</id>
    <updated>2026-05-09T05:02:41Z</updated>
    <published>2026-05-01T00:00:00Z</published>
    <summary type="text">Title: Exploring the nature of social capital elements in the unequal economic environment
Authors: Kang, Sungik; Koo, Ja-Hoon
Abstract: Economic inequality is rapidly increasing globally, and studies have substantiated that inequality is negatively associated with social capital. However, although studies have investigated the correlation between economic inequality and social capital, few have empirically explored social capital elements negatively related to economic inequality. This study attempted to verify the assumption that the negative association between economic inequality and social capital differs according to the characteristic of social capital elements. The study found that The economic inequality index is negatively associated with the social capital for cognitive elements such as social trust and altruism and structural element such as community participation. Furthermore, not only the current high economic inequality index but also the growth of the economic inequality index is negatively related to the level of social capital.</summary>
    <dc:date>2026-05-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>서울 방문 외국인의 활동유형이 재방문 빈도에 미치는 영향: 다수준 영과잉 음이항 회귀모형을 활용한 국적별 차이를 중심으로</title>
    <link rel="alternate" href="https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/217876" />
    <author>
      <name>김문경</name>
    </author>
    <author>
      <name>성현곤</name>
    </author>
    <id>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/217876</id>
    <updated>2026-07-03T02:00:11Z</updated>
    <published>2026-05-01T00:00:00Z</published>
    <summary type="text">Title: 서울 방문 외국인의 활동유형이 재방문 빈도에 미치는 영향: 다수준 영과잉 음이항 회귀모형을 활용한 국적별 차이를 중심으로
Authors: 김문경; 성현곤
Abstract: 코로나19 종식 이후 한국문화에 관한 관심이 높아지면서 방한 외래관광객 수는 증가하고 있으나, 재방문객 증가는 상대적으로 정체되어 있다. 기존 연구들은 주로 정성적 요인이 재방문 의도에 미치는 영향을 다루어 왔기 때문에, 실제 재방문과의 연결을 충분히 설명하지 못한다. 또한 SNS 등으로 방문지와 활동이 다변화되었음에도, 이러한 활동유형이 재방문 행동에 어떤 방식으로 작용하는지에 대한 국적별 실증 분석은 부족하다. 이에 본 연구는 만 15세 이상의 3,216명의 외국인 관광객을 대상으로 한 「2024 서울 외국인 관광실태조사」 원시자료를 활용, 구체적 활동유형과 실제 재방문의 빈도/확률 간 연계를 다중대응분석(MCA: Multiple Correspondence Analysis)과 다수준 영과잉 음이항(ZINB:Zero-Inflated Negative Binomial) 회귀모델을 통해 추정한다. 먼저 MCA의 차원 축약을 통해 행동유형을 재정의하고, ZINB 분석을 통해 각 유형이 재방문에 미치는 영향을 분석한다. 마지막으로 국적 수준의 랜덤 효과가 반영된 결과를 추가 분석한다. 연구 결과로는 첫째, 활동 유형은 재방문 행동에 상이한 효과를 보였다. 둘째, 서울 외 지역 방문 경험은 서울 재방문 확률을 유의하게 높이는 것으로 나타났다. 마지막으로. 재방문은 개인 특성이나 만족도만으로 결정되지 않고, 활동유형과 국가별 맥락의 상호작용에 영향받는 것으로 나타났다. 이러한 접근은 세분화된 시장 맞춤형 정책 설계의 근거를 제시해 관광객의 의향과 행동 간 간극을 축소하고, 장기적으로는 서울을 글로벌 관광 거점으로 자리매김하는 데 기여할 수 있다.; The growing global interest in Korean culture has led to an increase in
foreign visitors to Korea. However, the growth in repeat visits has remained limited.
Previous studies have primarily focused on qualitative determinants of revisit
intention, offering limited insight into actual revisit behavior. Moreover, despite the
diversification of destinations and tourism activities, empirical analyses examining
how activity types influence revisit behavior across nationalities remain scarce.
Using data from the 2024 Seoul Foreign Visitor Survey, this study investigates the
relationship between activity types and both the frequency and probability of revisits
through Multiple Correspondence Analysis (MCA) and a Multilevel Zero-Inflated
Negative Binomial (ZINB) regression model. After redefining foreign visitors’ activity
patterns through MCA, the study estimated their effects on revisit behavior using
ZINB models with national-level random effects. The analysis yielded three main
findings. First, activity types exert heterogeneous effects on revisit behavior. Second,
visits to areas outside Seoul significantly increase the likelihood of revisiting Seoul.
Finally, revisit behavior is shaped not only by individual characteristics and
satisfaction, but also by the interaction between activity types and national contexts.</summary>
    <dc:date>2026-05-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Investigating the spatiotemporal variability of mobility-based centrality in Seoul using mobile phone signaling data</title>
    <link rel="alternate" href="https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211371" />
    <author>
      <name>Im, Jehee</name>
    </author>
    <author>
      <name>Ko, Joonho</name>
    </author>
    <id>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211371</id>
    <updated>2026-03-19T05:00:21Z</updated>
    <published>2026-04-01T00:00:00Z</published>
    <summary type="text">Title: Investigating the spatiotemporal variability of mobility-based centrality in Seoul using mobile phone signaling data
Authors: Im, Jehee; Ko, Joonho
Abstract: Urban centrality has often been examined using static models that overlook the dynamic rhythms of mobility. This study investigates the spatiotemporal variability of mobility-based centrality in Seoul by integrating PageRank centrality derived from mobile phone signaling data using a time-sliced Multiscale Geographically Weighted Regression (MGWR) framework. Origin-destination networks were constructed for four representative hours to capture weekday cycles and assess how demographic, socioeconomic, and land-use factors shape centrality across space and time. Because PageRank is normalized within each time slice, cross-time differences are interpreted as shifts in relative hierarchy rather than absolute trip volumes. The results revealed distinct temporal and spatial heterogeneities. PageRank showed centrality concentrated in the three business districts during the morning, diffusion at midday, expansion toward peripheral areas in the evening, and flattening late at night. MGWR highlighted variable-specific dynamics: employment density strongly influenced morning centrality but declined thereafter; household income showed context-dependent effects, including late-evening negative associations in peripheral districts; and single-person households exhibited spatially selective positive associations during daytime periods but became statistically undetectable late at night. The findings highlight the importance of when and where different attributes shape centrality, suggesting that mobility policies should be time-sensitive and spatially targeted, including efforts to mitigate peak-hour congestion, enhance off-peak accessibility, and adapt infrastructure to ongoing demographic changes.</summary>
    <dc:date>2026-04-01T00:00:00Z</dc:date>
  </entry>
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