PURPOSES : The main purpose of this study is to identify vulnerable areas by evaluating public transit accessibility for the introduction of smart mobility. METHODS : This study proposes a methodology for analyzing public transportation accessibility. We identified the less accessible areas of public transit in Daegu Metropolitan City by dividing them into low- and high-facilitated areas considering travel demand and developed plans to introduce smart mobility based on the analysis results. RESULTS : Areas vulnerable to public transportation in Daegu Metropolitan City can be divided into those with low public transportation accessibility and low usage rates, those with good public transportation accessibility but low usage rates, and those with low public transportation accessibility but high usage rates. CONCLUSIONS : Based on the results of this study, it is possible to introduce customized services for each area with poor public transit accessibility, and some of the inconveniences experienced by citizens using public transit are expected to be resolved.

PURPOSES : In this study, we attempted to derive the optimal operation plan for urban public transportation routes by verifying changes in demand for use according to factors affecting public transportation. METHODS : First, the factors affecting changes in demand for public transportation were drawn. Second, the appropriate areas to be analyzed and their main routes were selected. Third, the basic data required for estimating public transportation traffic demand were collected through transportation card data. Fourth, basic networks and routes in TOVA were established for public transportation assignment. Finally, through traffic assignment, changes in usage demand owing to factors affecting bus routes were verified, and the optical operation plan was derived. RESULTS : Among the three routes selected for analysis, the rearranged B2 route increased by 662 from 6,142 to 6,804 per day, with the largest increase in daily demand. In addition, the number of stops increased with the access time, but there was no change in the average congestion. CONCLUSIONS : Through this study, it is believed that in can be used as the basic data on how to improve bus routes in local governments from the perspective of operators by analyzing the effectiveness of rearranging routes and drawing optimal operation measures.

PURPOSES : The aim of this study is to develop equitable smart mobility indicators for road infrastructure users based on the recognition of lack of social equity evaluation indicators from the perspective of road infrastructure users. METHODS : In this study, vertical equity was expressed as the ratio of tolls to users' willingness to pay, depending on the income level. In each area, the time of travels to frequent destinations may differ, depending on the road infrastructure configuration use of tolled and untolled roads. When using tolled roads to save travel time, users have to pay tolls. In this case, the number of tolls that users have to pay and the users’ willingness to pay for tolls in the area based on their income levels were compared to determine vertical equity differences. Here, users' willingness to pay was estimated through a questionnaire survey on the travel time value based on the income level and matched with the income level of the area to determine residents' willingness to pay in the area. RESULTS : This study reveals that there is a significant difference in social equity for road infrastructure use based on income level. This difference in the indexing was reflected in developing an indicator based on distribution equity. CONCLUSIONS : The proposed vertical equity assessment method is relatively simple and can be utilized as a tool for establishing policies. As a basic tool for analyzing vertical equity in road pricing, it can be effectively applied to analyzing the vertical equity of road users in countries such as Japan, where tolls for highways are very high, and the United States, where tolls are charged in forms of Turnpike and HOT.