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82 TRƯỜNG ĐẠI HỌC SƯ PHẠM KỸ THUẬT - ĐẠI HỌC ĐÀ NẴNG

student-to-population ratio surpasses 1,000 residents The research "Exploring Behavioral Heterogeneities
[4]. Research on the commuting habits of students is of Elementary School Students’ Commute Mode
highly significant to develop transportation policies, Choices Through the Urban Travel Big Data of
but there have not been many studies in this field, Beijing, China" [6] utilizes extensive urban travel
especially in developing countries with a prevalent data to shed light on the various factors influencing
use of two-wheeled vehicles. how students choose their modes of transportation to
According to the Ministry of Education and and from school. The research examined the factors
Training's statistics, Vietnam currently has 223 higher affecting these choices, including distance to school,
education institutions, including 170 public higher socioeconomic status, parental influence, and urban
education institutions. The majority of these higher infrastructure. One of the central findings of the study
education institutions are located in major cities such there is no one-size-fits-all approach to understanding
as Hanoi, Ho Chi Minh City (HCMC), and Danang. their commuting preferences. Instead, a nuanced
The proportion of students in major cities has understanding is required, taking into account the
increased as the population has grown. In addition, unique characteristics and circumstances of each
with excellent infrastructure and a trend towards student. The authors also emphasize the significance
internationalizing higher education systems, large of these findings for urban planning and policy
universities have attracted a greater concentration of development.
students to these urban centers. Therefore, exploring Belgiawan et al. [7] discusses the transportation
and understanding the commuting behaviors of preferences of students at the Institute Teknologi
university students is crucial for formulating Bandung in Indonesia. The study explores how
transportation strategies, policies, and planning for students choose their commuting modes, considering
this major cities. modes such as walking, cycling, motorcycling, or
The objective of this study is to examine the public transportation, while taking into account their
relationship between the modal choice of transport to personal characteristics and commuting habits.
school among university students in Danang, A study on students' choice of commuting mode in
Vietnam, and various factors such as Danang was carried out by Nguyen-Phuoc, Amoh-
sociodemographic, economic, and travel Gyimah, Tran, & Phan in 2018 [8]. This study
characteristics that may influence their mode choice. examined the mode choice of university students in
The data for the study is based on an online survey Danang, Vietnam. A conditional logit regression
conducted mainly at the University of Technical model was developed to explore the specific variables
Education (UTE) and some other universities in that affect the mode choice for trips to school. The
Danang, Vietnam. Students are asked to select one of main findings indicate that student characteristics
four modes of transportation: walking, cycling, such as age, gender, and their family's income have a
motorcycling, or public transportation, taking into significant impact on their mode choice decision.
account their individual and commuting Travel time from home to school was found to have a
characteristics. The study used a multinomial logit strong negative effect on choosing walking as the
model to estimate various factors that influence mode to school. It was also observed that students
student’s mode of transport. who use motorcycles to school are willing to switch
The paper is structured as follows: the to public transport if there is an efficient and reliable
introduction is presented in Section 1, the literature public transport system.
review is presented in Section 2, and the data and III. DATA AND METHODOLOGY
methodological approach is found in Section 3. Model
estimation results together with a discussion of the A. Sampling
findings are presented in Section 4, the last section The research data was collected from an online
provides conclusions and recommendations. survey via the link https://forms.gle/mU7yR1YhfLd4B7gRA
II. LITERATURE REVIEW in July 2023. A structured questionnaire on Google
Form was sent to students at several universities in
The study by Harz & Sommer [5] has focused on Danang, including the University of Technology and
sociodemographic factors and travel-related aspects to Education.
determine what influences tourists' mode choice. The
authors conclude that modeling tourist travel behavior is A pilot survey was previously conducted to
more intricate compared to daily commuting. The implement necessary adjustments before conducting
research proposes an alternative approach, which the comprehensive survey. The questionnaire was
involves modeling trip chains instead of individual trips. divided into two main sections: socio-economic
characteristics and student’s travel characteristics.

ISBN: 978-604-80-9122-4