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Study On Distance-Decay Curve Of Travel Distance Of Shared Bike Connecting To Subway Station

Posted on:2022-05-15Degree:MasterType:Thesis
Country:ChinaCandidate:Y B ZouFull Text:PDF
GTID:2492306740450144Subject:Traffic and Transportation Engineering
Abstract/Summary:PDF Full Text Request
The rise of dockless bike-sharing has provided more choices for people’s travel modes.With the growing scale of bike-sharing,it has occupied a higher and higher proportion in People’s Daily travel.At the same time,it has also generated a new travel mode,the mode of bike connected to public transport.At present,this travel mode has become one of the main travel modes for people to use public transportation.As for the travel pattern characteristics of dockless shared bikes connected to the subway,the research results show that,from the perspective of users,they are mainly young men,and there is a strong tidal nature;From the perspective of time dimension,on weekdays,most rides take place in the morning and evening peak hours.On the rest days,cycling was steady throughout the day.In addition,the analysis also found that people can accept the cycling time of 5-15min;From the perspective of spatial dimension,the station located in the urban area will have a relatively large amount of connecting cycling,and the acceptable cycling distance for people is 500-1500 m.In addition,with the change of connecting distance,the amount of connecting ride increased first and then decreased.With the increase of connecting distance,the amount of connecting ride increased first and then decreased.On this basis,the connection strength at different distances is calculated,and the distance-decay curve is fitted by using lognormal function.Through the function obtained by fitting,the connecting distance of different stations is calculated and analyzed,and the result shows that the access connecting distance is greater than the egress connecting distance.Finally,a multivariate linear regression model was established to investigate the influencing factors of connection distance.The results show that "terminal","transfer station","number of entrances and exits","detour","average distance of the four nearest stations","early peak travel proportion" and "evening peak travel proportion" are significant variables.
Keywords/Search Tags:dockless bike-sharing, Subway connection, Distance-decay curve, Regression analysis
PDF Full Text Request
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