scholarly journals Supernetwork Approach for Multimodal and Multiactivity Travel Planning

Author(s):  
Feixiong Liao ◽  
Theo Arentze ◽  
Harry Timmermans
Keyword(s):  
Author(s):  
Marie-Josée Levert ◽  
Hélène Lefebvre ◽  
Isabelle Gélinas ◽  
Michelle McKerall ◽  
Odette Roy ◽  
...  

ABSTRACTThis pilot project aims to test and see the relevance of the direct observation method to collect data on the barriers and facilitators to attending public places by seniors with TBI. The study is based on the conceptual framework VADA WHO which focuses on the development of friendly built and technological environments for seniors. Three elderly people participated in the study, recruited from an ongoing project, The Citizen Intervention in Community Living (APIC), in the presence of their personalized attendant. The study shows the feasibility of the method in terms of its acceptability and resources mobilized. It shows its relevance to access additional data that would have been difficult to obtain using others methods (e.g., semi-structured interview), such as the identification of the strategies used by the participants to address the obstacles encountered (avoidance, travel planning, use of physical and preventative support of the personalized attendant).


2019 ◽  
Vol 43 (3) ◽  
pp. 369-386 ◽  
Author(s):  
Abu Shamim Mohammad Arif ◽  
Jia Tina Du

Purpose Collaborative information searching is common for people when planning their group trip. However, little research has explored how tourists collaborate during information search. Existing tourism Web portals or search engines rarely support tourists’ collaborative information search activities. Taking advantage of previous studies of collaborative tourism information search behavior, in the current paper the purpose of this paper is to propose the design of a collaborative search system collaborative tourism information search (ColTIS) to support online information search and travel planning. Design/methodology/approach ColTIS was evaluated and compared with Google Talk-embedded Tripadvisor.com through a user study involving 18 pairs of participants. The data included pre- and post-search questionnaires, web search logs and chat history. For quantitative measurement, statistical analysis was performed using SPSS; for log data and the qualitative feedback from participants, the content analysis was employed. Findings Results suggest that collaborative query formulation, division of search tasks, chatting and results sharing are important means to facilitate tourists’ collaborative search. ColTIS was found to outperform Tripadvisor significantly regarding the ease of use, collaborative support and system usefulness. Originality/value The innovation of the study lies in the development of an integrated real-time collaborative tourism information search system with unique features. These features include collaborative query reformulation, travel planner and automatic result and query sharing that assist multiple people search for holiday information together. For system designers and tourism practitioners, implications are provided.


Author(s):  
Sabine Schneider ◽  
Francesco Ricci ◽  
Adriano Venturini ◽  
Elena Not

Author(s):  
John Fotis ◽  
Dimitrios Buhalis ◽  
Nicos Rossides

The impact of social media on the travel industry is predicted to be tremendous, especially on its holiday travel segment. Although there is a plethora of studies concentrating on the role and impact of social media in travel related decisions, most of them are medium and community specific, or focus on a specific stage of the decision making or the travel planning process. This paper presents a comprehensive view of the role and impact of social media on the travel planning process: before, during and after the trip, providing insights on usage levels, scope of use, level of influence, and trust. The study was conducted through an online structured questionnaire on a sample of 346 members of an online panel of internet users from Russia and the other Former Soviet Union (FSU) Republics who had been on holidays in the previous 12 months. Findings reveal that social media are predominantly used after holidays for experience sharing. It is also shown that there is a strong correlation between level of influence from social media and changes made to holiday plans. Moreover, it is revealed that user-generated content is more trusted than official tourism websites, travel agents, and mass media advertising.


Sign in / Sign up

Export Citation Format

Share Document