Abstract

Seoul Metropolitan City’s buses cater to more than 50% of the average daily public transportation use, and they are the most important transportation mode in Korea, together with the subway. Since 2004, all public transportation records of passengers have been stored in Seoul, using smart transportation cards. This study explores the environmental and psychological factors in implementing a smart transportation system. We analyze the switching behavior of traffic users according to traffic congestion time and number of transfers based on public transportation data and show that bus-use behavior differs according to the traffic information of users and the degree of traffic congestion. Information-based switching behavior of people living near bus stops induces people to change routes during traffic congestion. However, in non-congested situations, the original routes are used. These results can guide the formulation of policy measures on bus routes. We made it possible to continuously change the routes for certain buses, which were temporarily implemented due to traffic congestion. Moreover, we added a service that posts the estimated arrival time to major stops while reflecting real-time traffic conditions in addition to the bus location and arrival time information through the global positioning system.

Highlights

  • Many local governments have started building smart transportation systems as part of smart city projects

  • We classified Hypothesis 1 as a route change and compared the bus combination that stays on the existing route (RS) and the bus group that bypasses the route by going on another route with less congestion (RC)

  • We hypothesize that the effects of the two bus combinations on the use of public transportation users differ depending on the traffic condition (C/non-congestion time zone (NC)) at different times

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Summary

Introduction

Many local governments have started building smart transportation systems as part of smart city projects. Developed countries have made several efforts toward solving traffic problems in urban areas, such as establishment of intelligent transport systems, management of traffic demand, introduction of eco-friendly vehicles, and development of sustainable transportation policies [3]. The integrated transportation system of theSystem city of Seoul can identify which transportation modes are integrated used by customers. It stores all personal information in theofcity’s transportation database. Modes when citizens travel a certain route, using subwayinformation or a bus, their boarding transportation are used by on customers It stores all the personal in the city’s and disembarking records are stored in the

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