Previous researches find that income, gender, occupation, and car availability are the primary driving factors for commuting CO2 emissions(CCE).When the scope is narrowed down to small- and medium-sized cities and student households, the variables and the results would be different from previous studies, which discuss metropolises and all types of households. Commuting trips of student households include going to work and school, going home, and accompanying children to go to and from school. This paper takes accompanying children to go to and from school and number of bus cards of a household into considering. Most of the variables in this paper are categorical variables, which can’t be analyzed directly. To quantitatively examine how student household characteristics of a small- and medium-sized city can affect commuting emissions, this study takes Haining (Zhejiang province,China) as a case and analyzes statistical results and the Optimal Scaling regression results. The results indicate that car ownership, occupation of the head of the household, and accompanying children to go to and from school have significant influences on commuting emissions. While the effects of average income of a household, number of bus cards of a household, and gender of the head of the household are not significant. It is expected that these results will help policy makers and urban planners better understand how student households in small- and medium-sized cities can influence the CCE, and consequently create more effective measures for low-carbon-dioxide developments. Keywords: commuting CO2 emissions; small-and medium-sized city; Haining; student households; regression analysis

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