The purpose of this study is to provision the standard method for ensuring the reliability of measuring indoor air quality in public transportation. The objective is to determine the difference in the measured concentration values according to various conditions. These variables include measurement conditions, measurement equipment, measurement points, and measurement time. The value differences are determined by measuring the PM10 and CO2 concentration of subways, and express buses and trains, which are targets of indoor air quality management. The concentration of CO2 was measured by the NDIR method and that of PM10 was measured by the gravimetric method and light-scattering method. Statistically, the results of the concentration comparison according to the measurement points of the public transportation modes were not significantly different (p > 0.05), and it is deemed that the concentration is not affected by the measurement points. In terms of the concentration analysis results according to the measurement method, there was a difference of the concentration between the gravimetric and light scattering method. In the case of the light scattering method, the concentration differed depending on whether it was corrected with standard particles in the laboratory environment.

PURPOSES :This study intends to estimate the tangible benefits derived from the integration of operations of an Express·Intercity Bus Terminal and a Highway Service Area.METHODS:For the study, a highway service area was chosen to function as a bus terminal, integrating its services with that of a nearby bus terminal plagued by operating losses. The exercise also helped improve mobility owing to the introduction of local buses between the terminals and utilization of the existing infrastructure such as rest areas. Thus, a terminal that was not being utilized for its intended functionality was integrated with an existing facility to improve the utilization of both and subsequently aid local development. The impact of the exercise was then measured by evaluating the variation in utilization efficiency, operating costs, travel time between two regions (Seoul-Jeomchon and Seoul-Geumsan), and the social costs before and after the integration of the two facilities.RESULTS:The impact of the integration was an increase in utilization efficiency, a decrease in operating cost, a decrease in travel time, and a decrease in social cost in both the regions. The benefits of improved utilization and cost saving can be passed on to the citizens in the form of discounts. A local power generation facility will eventually replace the bus terminal, which can revitalize the local economy.CONCLUSIONS:The integration of the highway service area with the bus terminal is expected to have a win-win effect on the passengers as well as the operators. The study also proposes a sustainable strategic plan for existing terminals and rest areas to implement a method to compete with KTX transportation.

PURPOSES : The travel times of expressway buses have been estimated using the travel time data between entrance tollgates and exit tollgates, which are produced by the Toll Collections System (TCS). However, the travel time data from TCS has a few critical problems. For example, the travel time data include the travel times of trucks as well as those of buses. Therefore, the travel time estimation of expressway buses using TCS data may be implicitly and explicitly incorrect. The goal of this study is to improve the accuracy of the expressway bus travel time estimation using DSRC-based travel time by identifying the appropriate analysis period of input data. METHODS : All expressway buses are equipped with the Hi-Pass transponders so that the travel times of only expressway buses can be extracted now using DSRC. Thus, this study analyzed the operational characteristics as well as travel time patterns of the expressway buses operating between Seoul and Dajeon. And then, this study determined the most appropriate analysis period of input data for the expressway bus travel time estimation model in order to improve the accuracy of the model. RESULTS: As a result of feasibility analysis according to the analysis period, overall MAPE values were found to be similar. However, the MAPE values of the cases using similar volume patterns outperformed other cases. CONCLUSIONS: The best input period was that of the case which uses the travel time pattern of the days whose total expressway traffic volumes are similar to that of one day before the day during which the travel times of expressway buses must be estimated.