Research Article

Automated Mobility-on-Demand Service Improvement Strategy through Latent Class Analysis of Stated Preference Survey

Table 1

Socio-demographics and distribution of sample (N = 2,258).

VariableCategoryFrequencyDistribution (%)

GenderMale1,08247.9
Female1,17652.1

Age20–29 years35515.7
30–39 years67029.7
40–49 years75333.3
50–59 years38817.2
>60 years924.1

EducationLess than middle school190.8
High school graduate4656.0
Attending University13520.6
College graduate or higher1,63972.6

OccupationManager1436.3
Expert25211.2
Office worker66929.6
Service worker27512.2
Salesperson1657.3
Agricultural, forestry, and fishery workers160.7
Technicians or craftworkers793.5
Device/Machine operation or assembly workers793.5
Simple labor worker1084.8
Soldier40.2
Student1044.6
Inoccupation26811.9
Etc964.3

ResidenceSeongnam city, Gyeonggi-do1577.0
Hwaseong city, Gyeonggi-do1496.6
Bucheon city, Gyeonggi-do1366.0
Namyangju city, Gyeonggi-do1235.4
Ansan city, Gyeonggi-do1114.9
Anyang city, Gyeonggi-do1064.7
Pyeongtaek city, Gyeonggi-do1044.6
Siheung city, Gyeonggi-do904.0
Gimpo city, Gyeonggi-do873.9
Paju city, Gyeonggi-do863.8
Uijeongbu city, Gyeonggi-do833.7
Gwangju city, Gyeonggi-do753.3
Hanam city, Gyeonggi-do683.0
Wonju city, Gangwon-do1135.0
Cheongju city, Cungcheongbuk -do1024.5
Cheonan city, Chungcheongnam-do944.2
Asan city, Chungcheongnam-do552.4
Jeonju city, Jeollabuk-do954.2
Pohang city, Gyeongsangbuk-do813.6
Gumi city, Gyeongsangbuk-do693.1
Gimhae city, Gyeongsangnam -do873.9
Yangsan city, Gyeongsangnam-do703.1
Jinju city, Gyeongsangnam-do642.8
Sejong-Si532.3

Income<420 USD per month25511.3
420–840 USD per month974.3
840–1,680 USD per month28112.4
1,680–2,520 USD per month60426.7
2,520–3,360 USD per month48621.5
3,360–4,200 USD per month29212.9
4,200–5,880 USD per month1556.9
5,880–8,400 USD per month582.6
>8,400 USD per month301.3

Driving licenseAcquired2,00188.6
Not acquired25711.4

Car ownershipOwned2,03290
Not owned22610