• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.3D
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• pp.213-222
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• 2012

After enforcing 2007 semi-public management system of intra-city bus, Busan city has tried to promote the bus utilization through bus service improvements. As an effort for this, we attempted to clarify the main factors affecting to bus service satisfaction targeting intra-city bus users. In this study, 20 subcategories of intra-city bus service were assorted into 6 factors: Basic Service, Safe Driving, Route Information, Comfort, Cleanliness and Facilities, then the preference for each detailed bus service were analyzed. And the effects for bus service satisfaction were shown under the various conditions according to the general characteristics of intra-city bus users (gender, age), behavioral traffic characteristics (frequency of use, boarding time) and transportation environments (temperature, rainfall). These results would be important basic data for decision-making in bus policy for climate change and establishment of operating plan for bus utilization.

• Journal of Environmental Health Sciences
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• v.48 no.1
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• pp.44-51
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• 2022

Background: Air pollution is increasing together with industrialization and urbanization. In order to reduce air pollution, public transportation is recommended rather than private cars, and the number of passengers using public transportation is increasing accordingly. This study observes the concentration of indoor pollutants in city buses over time. Through this means, we intend to suggest a plan to manage the indoor air quality in city buses. Objectives: The concentration of indoor pollution in public transportation was investigated from April 2021 to January 2022. Based on this, we evaluated the exposure to indoor pollutants. Methods: Six city bus lines in an industrial city were selected for the research, and indoor pollution was measured through IoT (Internet of Things)-based sensor-type measuring devices. The concentration of pollutants was measured every minute, and statistical data were constructed based on the measurement results. Results: In all the city buses studied, the average concentration of pollutants were below the guidelines. However, some measurement results showed cases of exceeding the guidelines. As a result of the analysis by time zone, there were more cases in which pollutants exceeded the standard value during rush hour compared to at other times. A risk assessment for PM₁₀ was performed by evaluating the excess mortality risk from exposure and the risk from inhalation exposure. Conclusions: All measured indoor pollutants in the city buses did not exceed the guidelines. Also, the risk assessment results were found to be within the level of safety. However, if a city bus is used for a long time, there is a possibility that there may be an impact on the human body due to inhalation exposure, so additional management is required.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.3
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• pp.493-498
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• 2017

Recently, traffic data is analyzed for efficiency of bus operation, D2D(: Door to Door) service, and self-driving of public transportation. However, various studies have been carried out to predict the delay time of public transportation, especially buses, but the research to date has been insufficient due to limitations of simple analysis and data acquisition. In this study, delay time estimation is performed by collecting and processing data such as day of the week, weather, and time of day based on bus operation information. The proposed method in this paper can be applied to autonomous public transport and public traffic control system by improving the accuracy by adding variables in the future.

• Journal of KIBIM
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• v.8 no.3
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• pp.12-19
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• 2018

The research aims to find implications of machine learning and urban big data as a way to construct the flexible transportation network system of smart city by responding the urban context changes. This research deals with a problem that existing a bus headway model is difficult to respond urban situations in real-time. Therefore, utilizing the urban big data and machine learning prototyping tool in weathers, traffics, and bus statues, this research presents a flexible headway model to predict bus delay and analyze the result. The prototyping model is composed by real-time data of buses. The data is gathered through public data portals and real time Application Program Interface (API) by the government. These data are fundamental resources to organize interval pattern models of bus operations as traffic environment factors (road speeds, station conditions, weathers, and bus information of operating in real-time). The prototyping model is implemented by the machine learning tool (RapidMiner Studio) and conducted several tests for bus delays prediction according to specific circumstances. As a result, possibilities of transportation system are discussed for promoting the urban efficiency and the citizens' convenience by responding to urban conditions.

• Journal of Digital Convergence
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• v.8 no.4
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• pp.19-33
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• 2010

As one of the most traffic devices, bus has played a great role in Korea for the last years. However, a great many peoples in big cities have continually decreased with the increase of private car ownership. It causes lower quality of bus service and unstability of operation in many bus companies. In the several local government, the operation system of bus was changed to Bus Quasi-Public Operating System. The aim of this study is to assess the effects and to suggest improvement strategies of Bus QPOS. According to the results of the analysis, Bus QPOS has brought various positive effects, but it has occurred negative effects, especially a much increase of government subsidies to bus company. To resolve a negative effects, government should examine the whole condition of bus operations. This study suggests strategies to improve Bus QPOS, which is including transparency of management, fair assessment system, standard cost system for bus operations.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.1D
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• pp.23-31
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• 2012

Busan Metropolitan City government has been implementing the local Bus Quasi-Public Operating policy since 2007. As a result of the policy, financial burden to cover financial deficit has become a big social issue. For successful settlement of the policy, the government should be able to gradually cut off the financial support for the deficit by continuously increasing the bus demand, which can be accomplished by providing more convenient bus services. The weather conditions that affect the public transportation demand include rain, fog and snow. They affect the mode choice for public transportation use, which in turn results in decrease in bus demand. In short, the adverse weather conditions result in significant profit loss of bus transportation, and consequently it financially burdens the City of Busan. In this research, the pattern of travelers' use of transportation modes given various weather conditions was analyzed. In addition, the reasons why people transfer from one to other transportation modes were analyzed by conducting a field survey, and policy implications on desirable public transportation facilities and transfer system were discussed.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.5D
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• pp.679-687
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• 2011

Implementation of semi-public management system of intra-city bus achieve excellent results but there are some side effects like increase of the fatal traffic accidents. This study tries to develop decision making model of measures of reducing traffic accidents following implementation of semi-public management system of intra-city bus. And survey with traffic experts and analytic hierarchy process are used for data survey and analysis. Quantitative measures and qualitative measures are suggested as high assessment items of AHP. Quantitative measures of low assessment items composed of a raise in the number of bus and safety device installation, facility supplement of bus stop, supplement of pedestrian protection facility, traffic safety assessment and supplement. Qualitative measures composed of system organization, redesign bus route, reinforcement of education, campaign and enforcement. The results of this study are as follows. First, the result turns out more weights are calculated on quantitative measures than on qualitative measures. Second, It is turned out in order of facility supplement of bus stop and traffic safety assessment and supplement as the quantitative measures. Third, as qualitative measures, system organization and redesign bus route are in the order. The results of this study are considered to be a basic data which can be referred if measures on the decrease of traffic accident are established and implemented in other cities and provinces.

• Journal of Korean Society for Geospatial Information Science
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• v.3 no.2 s.6
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• pp.199-211
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• 1995

Bus, Which is together with subway the main part of public transportation modes in the city, is reviewed for the development of an optimal feeder-bus service area. Based on the IDRISI of GIS package, and taking into account of the convenience of downtown-oriented public transportation users at peak time, a model for the development of feeder-bus service area and a solution and introduced. Major result in this study is as follows: Development is given to a model that is designed to overcome the shortage of the existing models, which has limits in simulating the real situation; Variables were used in combination so that bus and subway route, station spacing, and operating frequency can be determined simultaneously, which enables to elucidate the mutual relationship and the structure in public transportation system. A model for feeder-bus area development is also given applied to determination and opening of subway and urban express bus route and new transportation systems. The model developed in this paper is useful in the case of extension and opening of subway and urban express bus route and new transportation Systems.

• Science of Emotion and Sensibility
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• v.12 no.4
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• pp.451-460
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• 2009

This study had been carried out based on the users' behavioral pattern in order to survey characteristics of bus station, a public facility. As a detailed analysis, quantification theory type 3 was performed based on 50 number of samples installed at each local governments as targets in order to evaluate bus station attributes and to survey its characteristics. As a result of this experiment, it was revealed that installation pattern of bus station would differ depending on characteristics of four axis of migrating population density, functionality and simplicity, metropolitan city of densely populated companies, local city with strong locality, the front of school with dense migrating population, secluded rural village, specific place like museum, rural area with dense migrating population. Therefore, in this study, detailed items were suggested comprehensively so that the design considering local environment and users' characteristics, in addition to modeling features of bus stations suitable for local characteristics, could be progressed. If any design and model complying with local environmental features based on above contents should be applied, bus station would be assessed by the users more positively in the future.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2012.05a
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• pp.136-137
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• 2012