https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/221 Sat, 04 Jul 2026 13:03:00 GMT 2026-07-04T13:03:00Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212539 Title: Where and how do women travel more and longer than men? Focusing on Mobility Gender Gap by Age Groups Authors: Li, Xuan; Kim, Nayeon; Lee, Sugie Abstract: This study examines the spatial gender gap in urban mobility within the Seoul metropolitan area, South Korea, with a focus on how these disparities evolve across different age groups. Using large-scale mobile phone data, we analyzed travel patterns by composing gender and age to a Gender Gap Index (GGI), incorporating factors such as socio-economic status and transportation infrastructure to quantify mobility differences. The findings reveal a distinct spatial and generational difference. First, women make more trips than men in urban area. While older women exhibit traditional mobility patterns characterized by shorter trips, younger women increasingly travel longer and more frequently than male peers. In order to unpack nuance of the non-linear and interaction effects among variables, we applied explainable machine learning on this large-scale Origin-Destination (OD) dataset. Using XGBoost with Shapley additive explanation (SHAP) values, we found that age is not only a key determinant of GGI but also modulates the influence of household structure and income on gendered mobility patterns. This trend diverges from major global norms and reflects the broader influence of evolving social norms and labour market participation in Korea. Our findings demonstrate that women's tendency to take shorter trips is not an inherent trait but rather a result of social and structural influences. Wed, 01 Jul 2026 00:00:00 GMT https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212539 2026-07-01T00:00:00Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212315 Title: Exploring e-scooters as first- and last-mile with Gaussian mixture and machine-learning models Authors: Han, Jaewon; Kim, Hyebin; Lee, Sugie Abstract: E-scooters are emerging as a key urban transportation option that can improve public transportation accessibility and address first- and last-mile issues. However, their utility is uncertain when destinations do not align with transit routes. This study examines whether e- scooters complement or substitute public transit by analyzing travel segments from trip origins to transit stations and from stations to final destinations. Using GPS-based mobility data, Gaussian mixture model, and explainable machine learning, we identified seven distinct patterns of e-scooter use based on population and land-use characteristics. Most patterns show e-scooters complement transit by connecting underserved residential, commercial, and green areas to transit hubs. The results indicate substitution-like patterns in low-density suburban areas characterized by low bus service frequency and limited metro accessibility. These findings highlight the role of e-scooters as a complementary transport mode when conventional public transport coverage is weak, suggesting their relevance for first- and last-mile integration within mobility-as-a-service. Mon, 01 Jun 2026 00:00:00 GMT https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212315 2026-06-01T00:00:00Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211009 Title: A novel approach to commercial district life-cycle analysis using web crawling: An application of chasm theory Authors: Kim, Hyebin; Kim, Minkyu; Lee, Sugie Abstract: Commercial districts exhibit a cyclical pattern of growth and decline, with key changes in commercial districts based on consumer attraction. The growth of a commercial district is achieved when consumers' and suppliers' mutual demand and supply align. However, previous studies had a limitation of incorporating the demand perspective. Therefore, this study focuses on the typology of the temporal curves of supply and demand and ‘Chasm’ between supply and demand, which can limit growth of a commercial district. This study aims to define the life-cycle of commercial districts in Seoul by adopting a novel data-driven quantitative framework. This study utilized business count data and major web services' search traffic data by web crawling techniques from 2006 to 2022. Our findings revealed a persistent mismatch between supply and demand across districts, underscoring the structural asymmetries between physical commercial infrastructure and transient consumer behavior. Also, we empirically identified four distinct clusters of commercial districts which captured the presence of Chasm. Notably, this study introduces a generalizable methodology using open-source tools and universally accessible data for diagnosing commercial district transformations. The results of this study indicate that both supply and demand must be considered for selecting commercial district locations and understanding their life-cycles. Furthermore, the study offers a structured approach to analyzing urban commercial change that is both quantitative and replicable. Fri, 01 May 2026 00:00:00 GMT https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211009 2026-05-01T00:00:00Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211428 Title: The role of streetscapes quality in coffee shop location shifts: A case study of the Hongdae retail district in Seoul Authors: Hwang, Gyuna; Park, Jina Abstract: As the experience economy and omnichannel retail expand, retailers increasingly prioritize residential-adjacent streets beyond traditional centers. Specifically, coffee shops—low-barrier, pedestrian-oriented third places—are spreading along alleyways and mixed residential streets. This study examined how visual (e.g., enclosure and openness) and perceptual (e.g., liveliness and beauty) streetscape qualities are associated with coffee shop location patterns. Using deep learning and semantic segmentation on street view images in the Hongdae retail district in Seoul, we quantified physical and perceived streetscape characteristics. The results reveal phase-dependent locational shifts. In the establishment phase, new coffee shops were concentrated along boulevards with vehicular exposure. In the growth phase, new openings were associated with higher subway accessibility and aesthetic quality. In the spillover phase, openings were increasingly observed in visually vibrant alleyways—characterized by higher enclosure, openness, and perceived liveliness—despite limited transit access. These findings suggest that coffee shop locations become progressively aligned with street-level experiential qualities, which can be interpreted as an outdoor servicescape operating alongside traditional location mechanisms. By extending servicescape from store interiors to surrounding streetscapes, this study highlights offers an exploratory framework for linking the spatial configuration of retail environments with customers’ experiences of everyday consumption spaces. Wed, 01 Apr 2026 00:00:00 GMT https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211428 2026-04-01T00:00:00Z