Development of multivariate ordered probit model to understand Household Vehicle Ownership behavior in Xiaoshan District of Hangzhou, China

Earth & Environmental Sciences

• bicycle 100%
• motorcycle 90%
• ownership 82%
• household 64%
• vehicle 61%
• automobile 58%
• income 22%
• transportation mode 19%
• attribute 19%
• traffic congestion 17%
• parking 16%
• built environment 14%
• developed country 13%
• elasticity 12%
• effect 12%
• population density 12%
• travel 11%
• education 11%
• transition 8%

Social Sciences

• bicycle 95%
• motorcycle 85%
• motor vehicle 65%
• district 54%
• China 47%
• traffic congestion 18%
• income 17%
• population density 15%
• travel 11%
• resident 9%
• education 3%

Engineering & Materials Science

• Bicycles 90%
• Motorcycles 78%
• Automobiles 60%
• Population Density 15%
• Traffic congestion 14%
• Parking 14%
• Elasticity 12%
• Education 11%
• Composite materials 7%