This research is aimed to examine the extent to which the service factors will affect the probability of people choice on public transports offered. The service factors are essential since the habits in the planning of new public transport at developing cities tend to prioritizes "travel time" and "travel cost" only. Consequently, there will be more than a small number of new public transports that will meet the same fate as the previous ones, i.e. unable to attract the users' interest. The research is focused on Banjarmasin City and Banjarbaru City which are two administrative cities with high development level and are large generation/attraction zones in South Borneo. The tendency of the use of private vehicles remains high with one of the reasons is the level of transportation services which are still low. Therefore, the planning of new alternative transports (bus) is required, in addition to the existing Paratransit transportation (mikrolet/Indonesian minibus). To obtain a utility and probability model of the of travelers (users) in selecting the public transport modes between the existing transports and new bus alternative transports, the Logit method approach was used and the data were collected by using Stated Preference technique. From the result of this research, the model of mode choice is obtained by including service factors showing the improvement of goodness of fit model, and is compared by those without including service factors. The average of service effect on the increase in the choice probability of the services is 22%, both in the sensitivity of the travel time and travel costs.

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Difference in perception frequently occurs between the service quality provided by the provider of public transport services and the passengers' expectation. The objective of this research was to identify the level of passengers' satisfaction of the service quality provided by intercity public transport in Banjarmasin. Furthermore, from the identification results, strategy priority on the service quality improvement was determined. An assessment of satisfaction and performance was divided into five determinants (reliability, assurance, tangibles, empathy, and responsiveness) which were described in 16 attributes of service quality. The attribute data were the results of the central tendency testing by using Wilcoxon signed-rank test. The assessment technique approach was subsequently used Importance-Performance analysis. From the analysis result, it is found that the service quality as the major priority for improvement are: (1) reliability includes arrival punctuality of intercity public transport in destination cities, (2) assurance includes security and safety of luggage and passengers guarantee, and the employees' friendliness in giving service, as well as (3) tangibles, especially for passengers' comfort on the vehicles. In addition, the performance that should be improved (low priority) is the attributes of the availability of complete supporting facilities and guarantee to problem solving.

Traffic accidents can occur due to drivers, vehicles, infrastructure, and the environment. Of the three factors that cause it is necessary to know what attributes have a strong correlation as part of the factors that can cause the accident. This study aims to obtain and compare what factors cause traffic accidents on urban and rural roads. The data used in this study is not based on accident data but trip makers' perception data by conducting interviews. The target respondents are trip makers who have been involved in traffic accidents. The perception data is used to obtain the factors that cause other traffic accidents that are not recorded in conventional accident data. In this research, the causative factors are grouped into two conditions: factors causing accidents on urban roads and rural roads. Identification of these causes is by sorting out which attributes directly affect the likelihood of a traffic accident based on the perception of the trip makers. The analysis uses the Partial Least Square statistical approach to get the intended results. The results show that the dominant cause of accidents based on human factors on urban roads is fatigue, while on rural roads is due to high speed (aggressive). From the vehicle factors, a flat tire is a cause that may cause an accident. Brake failure is one of the causative factors for rural roads not found on urban roads. Side friction such as the buildup of material on the roadside, on-street parking, street vendors, and indiscriminate pedestrians have great potential to cause accidents on urban roads. Sharp curve conditions are the dominant cause on rural roads.