Research On User Choice Preference Of Multi-modal Shared Mobility Considering Cooperation Intention

The continuous growth of urban population and vehicle ownership has brought traffic congestion,environmental pollution,frequent safety accidents and other problems.In terms of governance means,we have developed such governance measures as traffic restriction strategy and national standards for vehicle emissions.At the same time,under the technical system represented by electronic map and real-time positioning,modern urban travel has gradually evolved into a new shared travel mode with diverse modes,intelligence and convenience.Multimodal Shared Mobility(MSM)has effectively improved the utilization rate of transportation tools.Through the complementarity of accessibility and other characteristics between specific modes,it can meet the various travel needs of the near and far suburbs of the city and become a promising solution for the sustainable development of urban transportation.The promotion and implementation of policies and business models require the positive response and cooperative behavior of travelers at the decision-making level in order to play its role.Therefore,it is of great significance to explore the cooperation intention characteristics of travelers and the influence mechanism of choice behavior for improving the basic theory of transportation science and improving the corresponding governance level.This paper focuses on multi-mode shared travel,and carries out empirical research around users’ cooperation intention characteristics,influencing factors,and choice preferences.This paper first reviews the evolution process from sharing to multi-mode sharing,analyzes the travel decision-making process and cooperative and non-cooperative behaviors of travelers in combination with relevant documents,systematically combs the connotation of multi-mode sharing travel,the factors affecting travel choice,and puts forward the main analysis framework of the paper.For the three typical travel scenarios of commuting,business and leisure,the Latent Class Analysis(LCA)model is established to explore the overall choice preferences of travelers,and the Multinomial Logit discrete choice model is used to analyze the choice preferences of different types of travelers.The analysis results of the LCA model show that commuters can be divided into three categories: "high level of cooperation","pro society" and "pro environment".In business travel,travelers can be divided into three categories: "high level of cooperation","high social responsibility" and "low social responsibility".In leisure travel,travelers can be divided into two categories: "high level of cooperation" and "various balance".Different types of travelers show obvious preference differences when choosing MSM travel mode.In commuting,between the "high level of cooperation" and "pro social" travelers,the economy of MSM scheme is more attractive to the "high level of cooperation" type,Travelers of "high level of cooperation" type and "pro social" type are more inclined to choose Mode 2(shared travel+public travel)and Mode 3(shared travel+private transport).In business travel,between "high level of cooperation" and "low social responsibility" type,the economy of MSM program is more attractive to "low social responsibility" type,and the three types of travelers are more inclined to Mode 3 than commuting travel.In leisure travel,the safety of the MSM scheme is more attractive to the "balanced" type of travelers.The preference of the two types of travelers for Mode 5(shared travel+public transport+private transport)is higher than that of the first two travel scenarios.Further,through the mlti-nominal Logit model(MNL),under three typical travel scenarios,the effects of different types of travelers classified according to the LCA model,their individual attributes and MSM scheme experience attributes on travelers’ choice behavior are discussed respectively.In general,shared travel is more of a supplement to accessibility in people’s daily travel,and the probability of using shared travel is small.The results show that there are significant differences in the impact of travelers’ individual attributes on MSM scheme selection in different scenarios,and there are also significant differences in the impact of different scheme experience attributes on MSM scheme selection in different scenarios.Based on the results of data analysis,corresponding policy recommendations are put forward from the three levels of government,transportation travel service providers and travel individuals.