The allocation of public service resources in counties is more dependent on government investment than that in urban areas, which would reduce the availability of these services. Besides, the layout of public service facilities has a great impact on the spatial distribution of residents’ travel demands, which may affect the CO2 emissions generated by travel behaviors. Therefore, the environmental costs should be emphasized when considering the layout of public service facilities in county areas. In this study, we established a residents-autonomous-choice-based travel CO2 emissions evaluation method by introducing scale characterization factor. With this method, we figured out the total amount, the spatial distribution and reduction potential of CO2 emissions generated by residents’ medical trips in Changxing County. The results show that the total monthly CO2 emissions of residents’ medical travel behaviors in Changxing are 243.56 tons. Besides, the central area of Changxing county and Sian town have formed obvious cold spots of per capita CO2 emissions from medical travel, while Baixian and border of Xiaopu Town and Sian Town have formed obvious hot spots. By calculation, the potential capacity of CO2 reduction by optimizing the layout of medical facilities is 154.81 tons, accounting for 63.56% of the current emissions.
Keywords low carbon county, Layout of public service facilities, travel CO2 emissions, residents’ autonomous choice, spatial distribution, CO2 reduction potential