[Objective] The decoupling relationship between land-use carbon emission and economic development and the influencing factors of land-use carbon emission are explored, in order to provide theoretical basis for coordinating the relationship between urban land-use carbon emission reduction and economic development. [Methods] Taking the first batch of low-carbon pilot cities in China as the study area, this study analyzes the evolution trend of land-use carbon emissions in the pilot cities from 2005 to 2020. Based on the Tapio decoupling model, the decoupling relationship between net land-use carbon emissions and economic development is explored, and the influencing factors of net land-use carbon emissions are investigated by employing the LMDI model. ［Results］(1) The net carbon emissions of the first batch of low-carbon pilot cities in the period of 2005-2020 show a rapid growth trend, increasing from 77.3715 million tons in 2005 to 180.3908 million tons in 2020. (2) The overall decoupling index of the pilot cities gradually decreases during the study period, indicating that the dependence of economic development on land-use carbon emissions is on a downward trend. During the period from 2015 to 2020, the land-use carbon emissions of Tianjin City present a desirable strong decoupling state from the economic development, while Baoding City shows an undesirable expansive negative decoupling state, and the remaining six cities show a weak decoupling state. This reflects that there is still big room for improvement in coordinating the relationship between land-use carbon emissions and economic development in the pilot cities. (3) Positive factors affecting land-use carbon emissions in descending order are: economic development level > land use structure > population density > total land area; negative factors are ranked as follows: economic efficiency of land use > carbon emission intensity of land type. [Conclusion] The decoupling status and the influencing factors of land-use carbon emissions in pilot cities vary significantly across regions, thus regionally differentiated low-carbon economic development strategies in combination with the influencing factors should be formulated.