Page 196 - Proceeding of Atrans Young Researcher's Forum 2019_Neat

“Transportation for A Better Life:
Smart Mobility for Now and Then”

23 August 2019, Bangkok, Thailand

between the transport modes and how the residents
in the province are in terms of their current living
status.
After the necessary data collection, the
analysis which focused on the categorical analysis of
the transport mode attributes (comfort, travel time
reliability, cleanliness, safety and connectivity) with
respect to the socio-economic factors which include
age, individual monthly income and highest
educational attainment. The transport mode
attributes are listed and defined in Table 2.
Fig. 5. “Habal-Habal” in Marinduque
Table 1. Demographic Information of the
3.2. Data Collection Participants
The main part of the data gathering was Factors Options No. %
done once all the necessary variables in the study Male 612 57.25
have been established. The data collection was Gender Female 457 42.75
executed through surveys, interviews and other 19 – 28 76 6.93
prepared data from local government units (LGU). 29 – 38 334 30.45
33.27
39 – 48
365
The survey was done throughout the whole province Age 49 – 58 295 26.89
(years)
which included all the 218 barangays in the 6 59 – 68 24 2.19
municipalities (Boac, Mogpog, Gasan, Buenavista, 69 – 78 3 0.27
Santa Cruz and Torrijos). Under Php 3000 24 2.19
The survey questionnaires mainly included Php 3000 – Php 5999 560 51.05
324
29.54
Php 6000 – Php 9999
questions about an individual’s personal information Individual Php 10000 – Php 14999 120 10.94
and daily activity. Some of the proposed questions Monthly Php 15000 – Php 19999 56 5.10
Income
included asking about an individual’s age, income, Php 20000 – Php 29999 9 0.82
number of family members, travel time, distance Php 30000 – Php 39999 2 0.18
2
he/she travels to reach a specific transport mode, Vehicle Php 40000 – Php 59999 277 0.18
Yes
25.6
his/her purpose of travel, etc. Ownership No 805 74.4
These questions formulated were used in License Yes 272 25.14
order to fully assess the perception of the residents No 810 74.86
21.2
on the transport modes. On the other hand, the Elementary 230 58.16
High School
631
interviews were done in order to obtain other Education Vocational 38 3.50
variables that one might have missed in the initial Attainment College Degree 184 16.96
inspection. Since the people experience accessing Master's Degree 2 0.18
the PUV’s firsthand, they could have more accurate
inputs that could help improve the study. These
improvements were then considered in the study.
Table 1 shows the summary of the important factors
that were collected from the 1103 participants. These
factors include socio-demographic factors such as
gender, age, individual monthly income, individual
monthly income, vehicle ownership, license and
their highest educational attainment. These data
were chosen to be collected from the sample in the
province for they provide the necessary information
that can help to fully understand the relationship

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