In response to the COVID-19 pandemic, educational institutions worldwide have made online learning their primary channel. While the various benefits of e-learning have influenced governments to extend the use of this platform after the pandemic, there is the question of the intention of students toward online learning (i.e., participation and location) after the pandemic. This research aims to examine the intention of undergraduate students to do online learning post-COVID-19 pandemic and explore the factors that affect them in Indonesia. To that end, this study distributed an online questionnaire to 906 undergraduate students in mid-2021 in Bandung, Indonesia, and used the Discriminant Analysis (DA) and Multinomial Logistics Regression (MNL) model to explore the factors that influence the intention for e-learning after the pandemic. Teaching quality and time management benefits were found to influence students’ intention to spend more days on e-learning. Lower frequency of e-learning is associated with communication problems, internet problems, and unfavorable conditions at home. While the substitution effect is found in e-learning for students who are able to focus during online class, the neutral effect is found for students who experience internet problems and have a lower monthly allowance. E-learning also modifies trips for students who have higher monthly allowances and experience dizziness from long screen time. Students who reside in well-developed neighborhoods tend to prefer to attend online classes from home.

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This paper explores the effects of on-journey (i.e., waiting and travel time reliability, driver quality), before-journey (i.e., service coverage, application quality, fare, etc.), and multi-tasking advantages when using ride-sourcing, the perceived usefulness of ride-sourcing and, in turn, the frequency of usage. Assuming a structural form without any reciprocal effects, the modified Structural Equation Model is used. This study collected data from 497 ride-sourcing users in Bandung city in 2018. As expected, ride-sourcing users who appreciate the usefulness of ride-sourcing services correlate with a higher frequency of use. This study found that situational variables or variables related to travel and built environment conditions (e.g., on-journey advantages, built environment, and travel characteristics) play a role in keeping travellers using the services. This study confirms that multi-tasking is not a reason for ride-sourcing users to use the services more often. Moreover, those who previously used motorcycles and car-based ride-sourcing (CBRS) are more loyal travellers than car, public transport users, and motorcycle-based-ride-sourcing (MBRS) users, respectively.

ABSTRAKPandemi COVID-19 telah secara signifikan mempengaruhi bagaimana kita menjalani kehidupan sehari-hari kita. Studi ini bertujuan untuk menginvestigasi dampak perubahan kesehatan mental kepada perubahan aktivitas dan perjalanan saat pandemi di Indonesia. Convenient sampling digunakan untuk menentukan jumlah sampel dan pengumpulan data dilakukan secara online pada masa pandemi dengan kuesioner. Adapun metode regresi linear berganda digunakan untuk menganalisis data. Hasil analisis menujukkan bahwa telah terjadinya perubahan aktivitas dan perjalanan akibat dari pandemi COVID-19. Tipe kesehatan mental seperti depresi dan bosan sangat berkaitan dengan penurunan pola perjalanan, sedangkan kelelahan berkaitan dengan berkurangnya kegiatan berbasis online. Studi ini juga menemukan bahwa masyarakat berpendapatan tinggi cenderung memiliki akses lebih baik terhadap platform online dan melakukan kegiatan online lebih banyak. Kelompok tersebut juga cenderung mengurangi perjalanan keluar tempat tinggal. Studi ini merekomendasikan pembenahan kualitas internet dan pembangunan fasilitas aktif (taman) dekat tempat tinggal untuk mengendalikan pandemi bersamaan dengan menjaga penurunan kesehatan mental.Kata kunci: COVID-19, Aktivitas, Perjalanan, Regresi linear berganda ABSTRACTThe COVID-19 pandemic has significantly affected how we do our daily lives. This study aims to investigate the effect of emotional well-being to the changes in activity and travel during COVID-19 pandemic in Indonesia. Convenient sampling is used for dermine sampling size and online data collection was carried out during a pandemic using a questionnaire. Moreover, the multiple linear regression model is used for data analysis. It is found that there has been a change in activity and travel as a result of the COVID-19 pandemic. The results of the analysis show that several issues related to mental health, such as depression and boredom, are strongly associated with the decrease of out-of-home activities, while fatigue is associated with a lower ICT activities. This study also found that high-income people, which have higher accessibility to ICT, tend to do more online activities and also reduce their out-of-home activities during pandemic. This study proposeimproving the quality of the internet and building active facilities (parks) near residential location to manage the pandemic while maintaining a decline in mental health.Keywords: COVID-19, Activity, Travel, Multiple linear regression

ABSTRAKKecelakaan lalu lintas merupakan hasil dari kombinasi faktor-faktor penyebab  yang yang terdiri dari faktor manusia, kendaraan, jalan, dan lingkungan. Penelitian ini bertujuan untuk mengetahui variabel dominan dari beberapa faktor penyebab kecelakaan dengan memodelkan hubungan antara angka korban kecelakaan lalu lintas dengan variabel faktor penyebab kecelakaan di Jalan Tol Purbaleunyi pada tahun 2015–2017. Data yang digunakan pada penelitian ini berupa data sekunder yang terdiri dari data jumlah korban dan jumlah kecelakaan yang diakibatkan oleh faktor-faktor penyebab kecelakaan. Metode penelitian yang digunakan dalam penelitian ini adalah metode analisis regresi linear berganda dengan melakukan uji linearitas dan uji korelasi terlebih dahulu. Uji linearitas digunakan untuk memastikan apakah data yang akan dianalisis dapat menggunakan analisis regresi linear atau tidak, sedangkan uji korelasi digunakan untuk menentukan hubungan antara variabel baik antara sesama variabel bebas maupun antara variabel peubah bebas dengan variabel peubah tidak bebas. Berdasarkan hasil penelitian yang dilakukan pada tahun 2015–2017, variabel utama faktor kecelakaan diakibatkan oleh faktor manusia dan faktor kendaraan yaitu variabel mengantuk ( ) dan rem blong ( ).Kata kunci: Kecelakaan lalu lintas, faktor penyebab kecelakaan lalu lintas, regresi linear berganda. ABSTRACTTraffic accidents are the result of a combination of factors causes which consists of the human factor, vehicle, road, and environment. This study aims to determine the majority of the accidents variable of several factors that cause accidents by modeling the relationship between the numbers of traffic accident victims with variable factors causing the accident on Highway Purbaleunyi in 2015–2017. The data used in this study of secondary data consists of data on the number of victims and the number of accidents caused by factors that cause accidents. The method used in this research is multiple linear regression analysis to test the linearity and correlation test beforehand. Linearity test used to determine whether the data will be analyzed using linear regression analysis or not, whereas the correlation test was used to determine the relationship between both variables among the independent variables and the independent variables with the variable variable variable is not free. Based on the results of research conducted in 2015–2017, the main variable of the accident factor is caused by human factors and vehicle factors, which are variable drowsiness ( ) and brake failure ( ).Keywords: Traffic accidents, the causes of traffic accidents, multiple linear regression.