Study On The Influence And Travel Mode Distributions Of Family Travels On Holidays

The demand for family travel during weekends and holidays is increasing due to the combined stimulation of the growth of residents’ income,China’s holiday policy,the reduction of holiday tolls and the expansion of urbans’ scale.However,the strong mobility demand and extremely irregular travel behaviors of family weekend and holiday travel bring great pressure on holiday traffic.In addition,researchers have paid more attention to the commuting behaviors of urban residents on weekdays and the operation of the city’s overall transportation network,while the research on family group travel on holidays is relatively rare.Therefore,this paper aims to study the family travel behavior during general weekends and large holidays.First,we designed a questionnaire and collected the weekend and holiday travel behavior of family groups.After data cleaning,we got effective research samples and the following descriptive analysis was carried out on the samples.Secondly,we used the principal component analysis to extract the principal components which influenced family trips.Then,we established two structural equation models of family weekend and holiday trip.Through the fitting,modification and evaluation of the models,we obtained the influence order of potential family factors on weekend trip behaviors and holiday trip behaviors.Then,this paper focused on the decision-making process of family travel mode during weekends and holidays.By establishing the multiple logit models of the family travel modes,this paper analyzed the impact of observable variables on the decision of family travel mode and analyzed the sensitivity of each dependent variable.Finally,combined with the research results,this paper puts forward management suggestions to guide family weekend and holiday travel decision-making from two aspects of public transport demand guidance and private car travel demand control,aiming to integrate the influential factors with higher family significance into traffic management practice.