Abstract
Based on the travel analysis of students in the Jiulonghu campus, this paper constructs a small-scale shared bus in the campus, explores the impact of shared traffic on campus travel, promotes the optimization design of campus space environment, and creates a more comfortable and convenient travel space. In order to overcome the shortcomings of the traditional trip-based research, this paper analyzes travel behavior from the perspective of activity-based travel concept framework, considering more activities and travel information. At the same time, in order to improve the richness of information, the explicit preference survey (RP) and the declarative preference survey (SP), which are added to the bus sharing customized travel platform, are used to collect data of personal attributes and travel diary. Firstly, based on the ArcGIS platform, this paper constructs the activity travel path generation tool, dynamic activity density distribution tool, and spatiotemporal path clustering tool and comprehensively analyzes the activity travel mode from the aspects of time distribution, spatial distribution, and category characteristics. Secondly, based on the travel activities, the location selection model (S-MNL) considering the heterogeneity of SP and RP data sources and the activity duration planning model (Cox regression), considering the nonnormal distribution of activity duration are established to analyze the impact of shared bus on students’ travel distance, travel time, and travel frequency. Finally, according to the analysis of modeling results, the impact of shared traffic on campus travel is analyzed, and the optimal design scheme of campus space is given. This paper uses the survey method based on declarative preference SP and the survey method based on explicit preference (RP) to get the actual and hypothetical travel response of travelers, which improves the data richness.
Highlights
Shared mobility reduces traffic congestion, reduces greenhouse gas emissions, promotes social welfare, and has a great impact on urban space environment
This paper will take the students in the Jiulonghu campus of Southeast University as the survey object, and using the combination of the revealed preference (RP) survey based on the actual travel and the declarative preference (SP) survey based on different assumptions, and based on the activity travel behavior analysis method, more accurately and comprehensively analyze the impact of shared traffic on students’ travel behavior, and make some suggestions to optimize the space environment to improve travel satisfaction and convenience
Based on the above principles, combined with the current popular concept of sharing economy and customized travel, this paper proposes a customized travel service which is generally in line with the discipline setting of Southeast University. e distribution of gender and whether it is an only child is more uniform. e dormitory located in the Taoyuan living area accounts for more than 60%, the living area of Meiyuan accounts for more than 30%, while the orange garden accounts for only 5% of the total area. e reason for this proportion is that the Taoyuan living area is the most populated living area in the three living areas, and secondly, the sample size of nonundergraduate type students located in the orange garden living area is too small
Summary
Shared mobility reduces traffic congestion, reduces greenhouse gas emissions, promotes social welfare, and has a great impact on urban space environment. Declarative preference survey is a survey method based on assumptions, which can get travelers’ travel responses to different spatial environments and provide more information for behavior research. This paper will take the students in the Jiulonghu campus of Southeast University as the survey object, and using the combination of the revealed preference (RP) survey based on the actual travel and the declarative preference (SP) survey based on different assumptions, and based on the activity travel behavior analysis method, more accurately and comprehensively analyze the impact of shared traffic on students’ travel behavior, and make some suggestions to optimize the space environment to improve travel satisfaction and convenience
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