为了系统地从行业角度测算及分析陕西省交通运输业碳排放的影响因素，采用灰色关联度法识别交通系统内部影响因素，再结合人口、经济及技术的基础因素，建立STIRPAT扩展模型，对2000—2020年陕西省交通运输碳排放进行量化分析。研究结果表明：城镇化率、能耗强度、人均国内生产总值为交通运输碳排放量增加的正向驱动因素；交通运输需求方面，货运需求增加对陕西省交通运输碳排放有促进作用；运输结构方面，降低公路运输量占比会对交通运输碳排放量有抑制作用；基础设施建设方面，近20年来完善公路网络基础设施建设对陕西省交通运输碳排放有促进作用；运输装备方面，民用汽车拥有量增加会使陕西省交通运输碳排放量增加。因此在经济正常发展情景下，优化交通运输结构，提升铁路、公共交通等低碳运输方式的比例，积极推进绿色交通技术和产品的推广应用，加强新能源汽车安全技术标准与配套设施建设，加快智慧交通发展，有助于控制交通运输碳排放水平。

In order to systematically measure and analyze the influencing factors of carbon emissions of transportation in Shaanxi Province from the perspective of industry, the index of influencing factors of transportation system was determined by the grey relational method. Combined with basic factors of population, economy and technology, the extended STIRPAT model was established to quantitatively analyze transportation carbon emissions in Shaanxi Province from 2000 to 2020. The results show that urbanization rate, energy consumption intensity and GDP per capita are the positive driving factors of transportation carbon emissions. From the perspective of transportation demand, the increase of freight demand can promote the carbon emission of transportation in Shaanxi Province. In terms of transportation structure, reducing the proportion of road transportation will restrain the carbon emissions of transportation. In terms of infrastructure construction, the improvement of infrastructure construction of highway network in the past 20 years has promoted the carbon emission of transportation in Shaanxi Province. In terms of transportation equipment, the increase in the number of civilian vehicles will increase the carbon emissions of transportation in Shaanxi Province. Therefore, under the situation of normal economic development, optimizing the transportation structure, increasing the proportion of low-carbon transportation modes such as railways and public transportation, actively promoting the popularization and application of green transportation technologies and products, strengthening the construction of safety technical standards and supporting facilities for new energy vehicles, and speeding up the development of intelligent transportation are helpful to control the carbon emission level of transportation.