Residents' action response experiments on different travel modes under the external conditions of a metropolitan environment

The residents' action response experiments are a complex decision making procedure and a natural science question influenced by multiple indicators and the built environment. It can reflect the urban traffic pattern and resident travel structure at a micro level, which gives us the motivation for better understanding and revealing residents' behavioral characteristics and influencing factors of different travel modes quantificationally and systematically from the metropolitan environment perspective (novelty). This is of great guiding significance and necessity for the implementation of transportation demand control, optimization of urban traffic system, daily travel decisions of metropolitans, traffic environment, especially in the current application of computer big data analysis techniques. In this paper, we give a discussion and exploration for analyzing the people's action response problem on different travel modes with external conditions in a metropolitan environment.