Gyugeun Yoon

Seoul National University | SNU · Department of Civil and Environmental Engineering

Mobility service route design requires demand information to operate in a service region. Transit planners and operators can access various data sources including household travel survey data and mobile device location logs. However, when implementing a mobility system with emerging technologies, estimating demand becomes harder because of limited...

Mobility service route design requires potential demand information to well accommodate travel demand within the service region. Transit planners and operators can access various data sources including household travel survey data and mobile device location logs. However, when implementing a mobility system with emerging technologies, estimating de...

Due to transportation technologies having such heterogeneous impacts on different communities, there needs to be better tools to evaluate the deployment of emerging technologies with limited data. Microtransit is one such technology. We propose a novel framework based on existing methods to "upscale" the limited data available so that further decis...

With advances in emerging technologies, options for operating public transit services have broadened from conventional fixed-route service through semi-flexible service to on-demand microtransit. Nevertheless, guidelines for deciding between these services remain limited in the real implementation. An open-source simulation sandbox is developed tha...

With advances in emerging technologies, options for operating public transit services have broadened from conventional fixed-route service through semi-flexible service to on-demand microtransit. Nevertheless, guidelines for deciding between these services remain limited in the real implementation. An open-source simulation sandbox is developed tha...

An e-scooter trip model is estimated from four U.S. cities: Portland, Austin, Chicago and New York City. A log-log regression model is estimated for e-scooter trips based on user age, population, land area, and the number of scooters. The model predicts 75K daily e-scooter trips in Manhattan for a deployment of 2000 scooters, which translates to 77...

With Mobility-as-a-Service platforms moving toward vertical service expansion, we propose a destination recommender system for Mobility-on-Demand (MOD) services that explicitly considers dynamic vehicle routing constraints as a form of a "physical internet search engine". It incorporates a routing algorithm to build vehicle routes and an upper conf...

While public transit network design has a wide literature, the study of line planning and route generation under uncertainty is not so well covered. Such uncertainty is present in planning for emerging transit technologies or operating models in which demand data is largely unavailable to make predictions on. In such circumstances, we propose a seq...

Despite the proliferation of publicly available Big Data in Mobility-as-a-Service systems, few studies in the urban mobility service literature deal with unlimited usage price plan strategies. We conduct an experimental case study to design such a strategy: an unlimited-ride X-Day pass pricing for bike-share usage especially targeting short-term ca...

Given the lack of demand forecasting models for e-scooter sharing systems, we address this research gap using data from Portland, OR, and New York City. A log-log regression model is estimated for e-scooter trips based on user age, income, labor force participation, and health insurance coverage, with an adjusted R squared value of 0.663. When appl...

-Published in Seoul Studies (1738-7124)

This study defines influencing sections as the part of the road section where passing vehicles are traveling with the lower speed compared to speed limit due to speed humps. The influencing section was divided into 3 parts; influencing section before the speed hump, interval section, and influencing section after the speed hump. This analysis focus...

Traffic accidents between cars and pedestrians account for 22.4% of the total accidents in Korea, 2012. However, the fatality of year 2012 accounts for 36.7% of the total death. This indicates that the problem of pedestrian accidents is the level of the accident severity. This is because car related policies are prioritized over pedestrian policies...

This paper aims to find out the relationship between the weather condition and the travel time of transit buses. It is assumed that travel time consists of 'dwell time' and 'running time'. Grouping bus management system (BMS) data by weather and peak condition contributes to the calculation of the standard deviations and coefficients of variation (...