A quantified analysis method of influence on a road travel time from an urban built-up environment. The method comprises: firstly, extracting an average speed in each small section and built-up environment attribute information according to GPS data of taxis on a road and geographic information data; then using the average speed in each small section as a dependent variable, the built-up environment attribute information as a key independent variable, the nearest intersection type dummy variable as a regulated variable, making regression analysis by considering the interactive influence between the key independent variable and the regulated variable, and selecting, from regression results, a key independent variable significantly affecting the average speed in a section; and finally, substituting the extracted key independent variable into a geographic weighted regression model to carry out quantified analysis. The method provides a decision basis for a transportation planning and management department to adjust urban built-up environment attributes and improve the operation efficiency of a road network.
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