Modeling Social Distance and Activity-Travel Decision Similarity to Identify Influential Agents in Social Networks and Geographic Space and Its Application to Travel Mode Choice Analysis

2020 ◽  
Vol 2674 (6) ◽  
pp. 466-479
Author(s):  
Jinhee Kim ◽  
Yun Kyung Bae ◽  
Jin-Hyuk Chung
Keyword(s):  
Social Networks ◽  
Social Distance ◽  
Transportation Policy ◽  
Sustainable Transportation ◽  
Travel Mode ◽  
Geographic Space ◽  
Choice Analysis ◽  
Conformity Behavior ◽  
Travel Decisions ◽  
Travel Decision

Because humans are social beings, people are members of social networks and interact with other members. As a result of social interaction, people can be influenced by the behavior of others. The present study addresses conformity behavior in activity-travel decisions, implying that in making such decisions people mimic the behavior of other members of their social networks. The presence of conformity behavior in social networks implies that sustainable behavior can be dispersed through networks. Therefore, knowing which people in a network are influential can help make a sustainable transportation policy more effective. In particular, information about the topology of social networks and geographical distribution can help maximize the policy’s spill-over effects in social and geographic spaces. This study suggests a framework to locate influential agents in relation to activity-travel decisions using three procedures: (1) estimating social distance associated with similarity in activity-travel decisions, (2) identifying influential agents by measuring centralities, and (3) exploring the spatial and activity-travel characteristics of the influential agents. The suggested framework is applied using the travel mode choices of people who had recently taken trips by road beside/alongside the Han River in Seoul, South Korea.

scholarly journals Factor Analysis about Indonesian Students’ Motivations to Study in China Based on Push-Pull Theory

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Shuang Yang ◽  
Sheling Ye ◽  
Haiyan Li
Keyword(s):  
Factor Analysis ◽  
Cultural Transmission ◽  
Sociodemographic Factors ◽  
Economic Benefits ◽  
Overseas Students ◽  
Income Sources ◽  
Travel Motivations ◽  
Travel Decisions ◽  
Historical Sites ◽  
Travel Decision

Based on the push-pull model, the study is aimed at testing 116 China (Jiangsu Province) overseas students’ travel motivations with the methods of factor analysis，ANOVA analysis, and independent   t -test to explain internal and external factors, which influence overseas students’ travel decision, and further improve overseas students travel market. The results show that leisure and relaxation, togetherness and socialization, and knowledge and culture are top three push factors, while special festivals, historical sites, and financial budgets are top three pull factors. Among sociodemographic factors, gender differences, lengths of visit in China, and main income sources have significant differences in overseas students travel decisions. With “One belt, one road” initiative, travel industries should precisely understand overseas students traveling preferences, explore travelling market layout to balance economic benefits and cultural transmission, and develop overseas students’ traveling destination groups.

Impact of Consumer-Generated Content (CGC) on Travel-Related Decisions

2019 ◽  
pp. 238-250
Author(s):  
Ankush Ambardar ◽  
Himanshu Malik
Keyword(s):  
Travel Decisions ◽  
Travel Decision ◽  
The Impact

While online portals have improved accessibility of resources and information to potential travelers and tourists, there is less existing literature about the impact of consumer-generated content on travel decisions. The chapter has analyzed the factors of motivation for creating, accessing, and using consumer-generated content in order to have a better planned travel decision, which results in a memorable trip. The research resulted in ranking the factors of motivation for creating, accessing, and using consumer-generated content in order to identify the need of today's traveler.

scholarly journals Modal Shift from Cars and Promotion of Walking by Providing Pedometers in Yokohama City, Japan

2019 ◽  
Vol 16 (12) ◽  
pp. 2144 ◽  
Author(s):  
Kimihiro Hino ◽  
Ayako Taniguchi ◽  
Masamichi Hanazato ◽  
Daisuke Takagi
Keyword(s):  
Public Health ◽  
Mobility Management ◽  
Public Transport ◽  
City Planning ◽  
Public Health Practice ◽  
Management Program ◽  
Transportation Policy ◽  
Sustainable Transportation ◽  
Modal Shift ◽  
Step Counts

Mobility management is a transportation policy aiming to change travel behavior from car use to sustainable transportation modes while increasing people’s physical activity. Providing pedometers and visualizing step counts, popular interventions in public health practice, may constitute a mobility management program. However, the ease of modal shifts and changeability of walking habits differ across neighborhood environments. Using questionnaire data from 2023 middle-aged and older participants from Yokohama, Japan, in May 2017, this study examined (1) the relationship between the physical and social environments of Yokohama Walking Point Program participants who volunteered to use free pedometers and their modal shifts from cars to walking and public transport, and (2) whether participants’ modal shifts were associated with increases in step counts. Multivariate categorical regression analyses identified the frequency of greetings and conversations with neighbors as well as health motivation as important explanatory variables in both analyses. Participants living in neighborhoods far from railway stations and in neighborhoods with a high bus stop density tended to shift to walking and public transport, a modal shift that was highly associated with increased step counts. These results suggest that mobility management should be promoted in collaboration with public health and city planning professionals.

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