Research on travel behavior of the urban low-income citizens in China is minimal. The main objective of this study is to
examine the travel characteristics and trip chain characteristics of China s urban low-income. Using the travel data collected
in the city of Huzhou (a prefecture-level city in east China), Two-Step Clustering Analysis is conducted to identify low income
people from the dataset. It is found that urban low-income people have lower mobility than the non-low-income. They
tend to make fewer trips and of shorter distance. However, average trip duration of the low-income is longer than that of the
non-low-income. Results show that the low-income individual makes most of their trips for subsistence activities, such as
going to work or school. In addition, large proportions of all trips made by the low-income are undertaken by walking, electric
motorcycle, and bicycle. The number of trip chain of low-income people is generally small, and the length of said trip chain is
short. Finally policy implications are recommended in the context of providing transportation equity service to improve the
mobility of urban low-income.
Research on travel behavior of the urban low-income citizens in China is minimal. The main objective of this study is toexamine the travel characteristics and trip chain characteristics of China s urban low-income. Using the travel data collectedin the city of Huzhou (a prefecture-level city in east China), Two-Step Clustering Analysis is conducted to identify low incomepeople from the dataset. It is found that urban low-income people have lower mobility than the non-low-income. Theytend to make fewer trips and of shorter distance. However, average trip duration of the low-income is longer than that of thenon-low-income. Results show that the low-income individual makes most of their trips for subsistence activities, such asgoing to work or school. In addition, large proportions of all trips made by the low-income are undertaken by walking, electricmotorcycle, and bicycle. The number of trip chain of low-income people is generally small, and the length of said trip chain isshort. Finally policy implications are recommended in the context of providing transportation equity service to improve themobility of urban low-income.
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