A study on the path of low-carbon travel intention grouping of residents in mountainous cities——Taking Guiyang City as an example
In order to effectively reduce urban congestion and create a green ecological environment,low-carbon travel for residents has become a research hotspot in the academic field.Based on the sur-vey data of low-carbon travel intention of residents in Guiyang City,the influence of inter-factor group configuration on residents'low-carbon travel intention is explored by applying the method of qualitative comparison analysis of fuzzy sets(fsQCA),taking into account the factors of subjective built environ-ment perception and environmental awareness,as well as the introduction of terrain perception varia-bles(slope perception,travel process perception and detour distance perception).The results show that:Environmental awareness can constitute a necessary condition for residents'low-carbon travel in-tention alone;Six combinations of high and low carbon travel intention paths are derived from the anal-ysis,namely,perceptual control dominant,environmental awareness dominant,built environment dominant,equilibrium,missing process perception dominant,and slope perception dominant;Subjec-tive built environment perception and perceptual behavioral control become important conditions for triggering residents'low-carbon travel intention core conditions,in terms of slope perception,low per-ception of detour distance and low perception of travel process can trigger residents'willingness to travel low-carbon,while there are differences in the effects of slope perception.The conclusions help expand the perspective of low-carbon travel intention research and provide practical insights for the government to effectively increase low-carbon travel intention of mountainous city residents.
traffic engineeringsubjective built environment perceptionfsQCAterrain perception
NETL
NSTL
万方数据
