No abstract

This study reports an investigation of psychological factors influencing this behavior from the perspective of the Theory of Planned Behavior and Norm Activation Model, with the addition of habit and car access. Students from three different university campuses in Surabaya, Indonesia, (n = 312) completed a survey on their car commuting behavior. Results indicated that habit and ascription of responsibility were the strongest factors that influence personal norm, perceived behavioral control and personal norm were the strongest factors that influence behavioral intention, and habit was the strongest factors that influence actual behavior, while car access only significantly influence habit, rather than both perceived behavioral control and actual behavior. Habit, awareness of consequences, and ascription of responsibility explain 54% variance of personal norm. Attitude, subjective norm, perceived behavioral control, and personal norm explain 50% variance of the behavioral intention. In turn, behavioral intention, habit, and car access explains 55% of the variance of the actual car use. Implications of these findings are that in order to alter the use of car, university should implement both structural and psychological interventions. Effective interventions should be designed to raise students' awareness of consequences and sense of responsibility of negative aspects of car use.

Although there are clear environmental, economic, and social drawbacks in using private vehicles, students still choose cars to get to campus. This study reports an investigation of psychological factors influencing this behavior from the perspective of the Theory of Planned Behavior and Norm Activation Model. Students from three different university campuses in Surabaya, Indonesia, (n = 312) completed a survey on their car commuting behavior. Results indicated that perceived behavioral control and personal norm were the strongest factors that influence behavioral intention. Attitude, subjective norm, perceived behavioral control, and personal norm explain 62.7% variance of the behavioral intention. In turn, behavioral intention explains 42.5% of the variance of the actual car use. Implications of these findings are that in order to alter the use of car, university should implement both structural and psychological interventions. Effective interventions should be designed to raise the awareness of negative aspects of car use.

This study aims to identify the characteristics and costs of traffic accidents that occurred in Garut Regency in period of 2012 until 2017. The focus of the study was accidents involving buses, as a public transportation mode. In this study, a descriptive approach is used, and for the cost of traffic accidents, the Gross Output Method is used. The results obtained show that the proportion of traffic accidents involving buses in the Regency of Garus is 3.5%, with humans being is the dominant factor causing the traffic accidents. In addition, the cost of traffic accidents involving these buses reaches 0.15% of the Gross Regional Domestic Product of Garut Regency. Keywords: traffic accidents, accident costs, public transportation, accident characteristics  Abstrak Penelitian ini bertujuan untuk mengidentifikasi karakteristik dan biaya kecelakaan lalu lintas yang terjadi di Kabupaten Garut pada tahun 2012 hingga tahun 2017. Fokus penelitian adalah kecelakaan yang melibatkan bus, sebagai moda transportasi publik. Pada studi ini digunakan pendekatan deskriptif dan untuk biaya kecelakaan lalu lintas digunakan metode Gross Output. Hasil yang didapat menunjukkan bahwa proporsi kecelakaan lalu lintas yang melibatkan bus di Kabupaten Garut adalah 3,5%, dengan manusia merupakan faktor penyebab yang dominan. Selain itu, biaya kecelakaan lalu lintas yang melibatkan bus ini mencapai 0,15% terhadap Produk Domestik Regional Bruto Kabupaten Garut. Kata-kata kunci: kecelakaan lalu lintas, biaya kecelakaan, transportasi publik, karakteristik kecelakaan

Roads is one of the main infrastructures to support the realization of economic development. The economic development resulting economic activity and the emergence of new industrial and activity centers, and then will stimulate population movement and growth. The increase of the population number and movement will encourage changes in land use. This study conducted to analyze the effect of road construction on the rate of land use change. Land use change caused by the construction of this road was identified by analyzing land use change with the help of a geographic information system. Satellite imageries are processed into maps based on geographic information systems to classify land use gradually over years. The results of this classification are then used for land use change analysis. The analysis carried out shows that there is a change in land use rate growth for building classification before and after road construction. Land use for growth for building classification is developed faster when a new road is built than before a road is built. In the area around the Salatiga and Ambarawa Ring Roads, the increase in the proportion of built-in land use is the conversion of forest land use and open land. Meanwhile, in the area around the Manado Ring Road, the increase in the proportion of built-in land use is the conversion of forest land use.