Essays about: "Analysis of travel behavior"

Showing result 16 - 20 of 47 essays containing the words Analysis of travel behavior.

  1. 16. Comparing unsupervised clustering algorithms to locate uncommon user behavior in public travel data : A comparison between the K-Means and Gaussian Mixture Model algorithms

    University essay from Jönköping University/JTH, Datateknik och informatik

    Author : Anton Andrésen; Adam Håkansson; [2020]
    Keywords : Machine learning; clustering; K-Means; Gaussian Mixture Model; expectation-maximum; data analysis; public transport; silhouette analysis; outliers; outlier detection; data; algorithms; experiment;

    Abstract : Clustering machine learning algorithms have existed for a long time and there are a multitude of variations of them available to implement. Each of them has its advantages and disadvantages, which makes it challenging to select one for a particular problem and application. READ MORE

  2. 17. Barriers of Traveling with Sustainable Transportation Vehicles : A comparative empirical analysis of leisure travelers’ behavior in Sweden, Germany, and Iran

    University essay from Umeå universitet/Företagsekonomi

    Author : Robin Julian Herbert; Fateme Sohrabi; [2020]
    Keywords : consumer behavior; intention-behavior gap; theory of planned behavior; leisure travel; sustainable transportation; international comparison; climate change; aviation industry; perceived effectiveness; social norms; perceived value; sustainable lifestyle; environmental knowledge; environmental concern; perceived price; travel distance;

    Abstract : This master thesis analyzes the influence of psychological barriers of consumers from Germany, Sweden, and Iran for using sustainable transportation modes. Climate change has started to change the way people travel. READ MORE

  3. 18. Recommendations’ and preferences’ impact on online travel purchases : A quantitative study investigating Instagram influencers’ travel recommendations and consumers’ travel preferences effect on online travel purchases

    University essay from Mälardalens högskola/Akademin för ekonomi, samhälle och teknik

    Author : Salla Jaatinen; Laura Aho; [2020]
    Keywords : Online travel purchases; Travel recommendations; Travel preferences; Consumer behavior; Influencer marketing; Instagram;

    Abstract : Quantitative data analysis revealed that out of the two proposed hypotheses, consumers’ travel preferences have a positive effect on online travel purchases, while Instagram influencers’ travel recommendations did not have a positive effect on consumers’ online travel purchases. Despite that, male respondents experienced travel recommendations to be more influential than their own travel preferences when purchasing travel. READ MORE

  4. 19. Customer Behaviour and Marketing Channels in High-end Experiential Travel Market

    University essay from Uppsala universitet/Institutionen för samhällsbyggnad och industriell teknik

    Author : Chetan Pruthi; Adarsh Tewari; [2020]
    Keywords : High Net-worth Individuals HNIs ; Travel Designers; Luxury Travel; Customer Behavior; Marketing Channels.;

    Abstract : This report is a qualitative analysis of consumption behaviour of high net worth individuals (HNIs) and the marketing channels that are effective in the high-end travel industry. The travel industry caters to a vast audience and it becomes important to understand a specific niche to serve the customers better. READ MORE

  5. 20. Understanding the design and delivery of customer experience from multiple perspectives : A case study within luxury travel industry

    University essay from Uppsala universitet/Industriell teknik

    Author : Gurruraj Anantharramu; Pascal Kaiser; [2020]
    Keywords : Experience Economy; Customer Experience; Customer Journey; Touchpoints; Co-creation; Customer; Luxury Travel Industry; Supply-Chain;

    Abstract : Staging experiences and providing optimal customer experience has become the new battlefield within the marketing segment, since the introduction of experience economy. The modern customer has multiple devices, channels and touchpoints to interact with the organization and with rapidly changing digital technology, where the product or service information are available online 24/7, he/ she is in-charge of his/ her own experiences. READ MORE