LAUSR

This paper attempts to disclose the effects of land use pattern on the selection of low-carbon travel by urban residents. Targeting 19 blocks in north western China’s Xi’an, the author collected data from various sources, including phone signals, app records and field surveys, and divided the blocks into two groups based on the difference in land use pattern. The multi-source data ensures the objectivity and accuracy of the analysis. Then, the relationship models between block land use features and residents’ travel methods were established based on the Logit model, and the effects of six land use features on the selection of low-carbon travel were discussed in detail. The research results show a strong correlation between land use pattern and travel mode of the residents in the 19 blocks; the six land use features have different impacts on the travel mode; the residents in the two types of blocks prefer different low-carbon travel methods. This research lays a scientific basis for the optimization of urban space and land use.