Enhancing learning experience of the disabled: An accessible tourism platform

Yen Chun Jim Wu, Chan Lan Chang, Ying Jiun Hsieh

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The purpose of the study is to propose a completely barrier-less, or “accessible” tourism platform and makes suggestions to facilitate current travel information for disabled persons. Drawing on in-depth interviews with tourism industry representatives and academics, and applying Long Tail theory’s three “forces” and nine “rules”, the study makes assessments as to the viability of the disabled tourism niche, creating an accessible tourism communication network to connect upstream and downstream travel agencies in a Web 2.0 environment. Web 2.0 is an appropriate platform that can be seen as a launching pad or accelerator to share knowledge between business and customer, as well as customer and customer. This platform can provide adoptive learning experiences and behavioural enhancements. This study sets up an accessible tourism communications network based on Web 2.0 concepts, contributing a real platform that travel agents can refer to as they take their first steps to provide travel packages that accommodate the needs of the disabled, a previously marginally represented group in the sustainable tourism literature.

Original languageEnglish
Pages (from-to)2080-2095
Number of pages16
JournalJournal of Universal Computer Science
Volume20
Issue number15
Publication statusPublished - 2014 Jan 1

Fingerprint

Tourism
Telecommunication networks
Disabled persons
Web 2.0
Launching
Particle accelerators
Industry
Customers
Communication Networks
Niche
Accelerator
Viability
Learning
Experience
Tail
Person
Enhancement

Keywords

  • Long tail theory
  • The disabled
  • Tourism
  • Web 2.0

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Enhancing learning experience of the disabled : An accessible tourism platform. / Wu, Yen Chun Jim; Chang, Chan Lan; Hsieh, Ying Jiun.

In: Journal of Universal Computer Science, Vol. 20, No. 15, 01.01.2014, p. 2080-2095.

Research output: Contribution to journalArticle

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