Analysis Of Travelers' Behavior Characteristics Under The Influence Of Taxi-calling Mobile Apps

The rapid development of Taxi-Calling Mobile Apps must has great influence on the structure of urban transportation,especially for traditional taxi,so inorder to estimate their benefits,coordinate traditional traffic modes and the new mode,this dissertation analyzes travelers' travel behavior under the influence of Taxi-Calling Mobile Apps.Taxi-Calling Mobile Apps have advantage of sharing economy,low carbon transportation and convenient,so in order to attract more travelers,this dissertation research the acceptance intention of Taxi-Calling Mobile Apps.By establishing a structural equation model based on behavior models,analyze factors that can influence acceptance intention of usage.The findings show that the factors significantly influence the travelers' intention of usage Taxi-Calling Mobile Apps are perceived ease of use,perceived usefulness,attitude,subjective norm,compatibility,perceived safety and perceived level of price.And it discovered that attitude has the greatest total effect on intention of usage by standardized coefficient,followed by compatibility,subjective norm,perceived ease of use,perceived usefulness,perceived safety and perceived level of price.Then,this dissertation research the analysis of travelers' behavior under the influence of Taxi-Calling Mobile Apps,this content includes two part:travelers' traffic mode choice behavior and trip intensity under the influence of Taxi-Calling Mobile Apps.Collecting data by stated preference survey in Xinjiekou,vicinity of Nanjing Library and establishing NL models about after the occurance of this new mode.This research can analyze factors that influence travelers' traffic mode choice from personal characteristics,travel attributes and mode attributes.The result shows that the level of income,education,occupation,car number and whether it is convenient to take bus or subway all of these positively affect the probability of traffic mode;and travel attributes and mode attributes have negative effect on travelers' mode choice.For the research about trip intensity under the influence of Taxi-Calling Mobile Apps,collecting data by questionaires and qualitatively analyzing whether this new mode can increase peoples' trip intensity.The result shows that only about 30%of travelers can increase their trip because of the convenient and lower fees.It also disclose that the distance of increased trips is mainly within 15km and the purpose of them is mainly shopping.Finally,analyzing the transfermation of traffic mode under the influence of Taxi-Calling Mobile Apps based on NL models and research objectives.According to two NL models,using Aggregate Analysis Method and Elastic Analysis for waiting time,travel time,fees and parking fees to analyze the transfermation of traffic mode and the reason,which is benefit to developing urban low carbon transportation,optimizing urban traffic structures.