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HỘI THẢO KHOA HỌC QUỐC TẾ ATiGB LẦN THỨ TÁM - The 8 ATiGB 2023 87
Easy to
1-2 105 18 36 6 32 12 123 8 Parameters Estimate p>|z| Estimate p>|z| Estimate p>|z|
access
Intercept -11.08 <0.001 -17.55 0.995 -11.13 0.998
Waiting
2-5 1 5 86 5 time and 29 11 27 6 Time -0.35 <0.001 -0.09 0.119 0.11 0.003
travel time
School location:
5-20 1 140 267 Reliability 19 267 2 UTE 5.02 <0.001 5.04 0.002 1.99 0.023
>20 5 Comfort 27 8 4 Gender: Male -4.60 <0.001 -3.76 <0.001 -3.50 <0.001
Willingness to shift to a new bus Year of 1.82 0.011 2.39 0.061 1.97 0.119
system students: - First
Yes 9 4 105 19 Year of
students: - 1.02 0.123 1.21 0.306 0.06 0.964
No 98 19 162 1 Second
Table 4 - Model fitting information Year of 0.19 0.768 -0.86 0.500 -2.26 0.157
students: - Third
Model Fitting Likelihood Ratio Tests Living status: -
Criteria Family house -4.12 <0.001 14.75 0.996 13.64 0.998
Model Living status:
Chi-
-2 Log Likelihood Square df Sig. - Rented house -2.71 0.003 14.60 0.996 12.45 0.998
Intercept 764.076 Rider license: 0.41 0.659 1.24 0.418 -0.26 0.826
Only Yes
Final 248.160 515.916 42 .000 Motorcycle -3.37 <0.001 -2.91 0.002 -4.15 <0.001
ownership: Yes
Table 5 - Likelihood ratio tests Bicycle -0.71 0.303 3.72 <0.001 -19.65 0.997
ownership: Yes
Model Fitting Likelihood Ratio Tests Part-time job: -0.38 0.424 1.12 0.162 -0.22 0.780
Criteria Yes
Effect −2 Log- Living cost: -
Likelihood of Chi- Less than 3 16.81 <0.001 -2.99 0.087 -19.10 0.992
Reduced Square df p>|z| million VND
Model Living cost: 16.88
- 3 million to 5 -2.10 0.152 -0.82 0.475
Intercept million VND
248.160 0.000 0
Time Reason for
312.447 64.287 3 0.000 mode choice:
School Location
282.275 34.115 3 0.000 - Easy to access 1.011 0.287 14.303 0.988 0.324 0.782
Gender
314.427 66.267 3 0.000 - Waiting time
Year of Students and travel time 1.145 0.230 14.447 0.988 0.081 0.943
276.355 28.195 9 0.001
Living Status - Reliability 1.323 0.249 -1.212 0.999 -0.323 0.836
271.981 23.821 6 0.001
Rider License V. DISCUSSION AND CONCLUSION
249.039 0.879 3 0.831
Motorcycle
Ownership 282.883 34.723 3 0.000 University students constitute a significant
Bicycle 288.264 40.104 3 0.000 proportion of travelers in major cities, and as a result,
Ownership factors related to their commuting behavior play a
251.750 3.590 3 0.309
Part-time Jobs crucial role in road traffic safety considerations.
269.777 21.617 6 0.001 However, research on students' choice of transportation
Living Cost
to school is not yet widely prevalent in developing
countries. Understanding the mode choice of students
can assist universities and relevant stakeholders in
developing and enhancing policies, programs, and
infrastructure to promote sustainable transportation
methods such as public transport, walking, or cycling.
This study examines the factors influencing the mode
of transportation choice for university students
commuting to their campus in Danang, Vietnam. To
investigate the individual and alternative specific
Figure 2. Parameter Estimates of model variables impacting this choice, Multinomial Logit
model (MNL) was used.
with statistically significant levels
(Wa - Walking; Bi - Bicycle; Bu - Bus) The findings indicate that students' choice of
transportation mode is significantly influenced by
Mode Wa Bi Bu
several key factors, including travel time, gender, year
ISBN: 978-604-80-9122-4