2019
DOI: 10.2478/ers-2019-0036
|View full text |Cite
|
Sign up to set email alerts
|

Determinants of Tourist Activity of People with Disabilities Living in Rural Areas

Abstract: SummarySubject and purpose of work: The aim of the conducted research and analyzes was the attempt to assess the impact of selected factors over tourist activity of people with disabilities and factors related to the immediate environment of people with disabilitiesMaterials and methods: A total of 5 000 respondents were subjected to the quantitative research. Participants of the research were adults with legally recognized disabilities. In the research, there was used the method of a diagnostic survey.Results… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 6 publications
0
1
0
Order By: Relevance
“…However, the randomness of a time series presents some problems that classical methods cannot overcome. This is a fundamental assumption that proposes to overcome the traditional barriers of orthodox analysis methods, where conventional tourist causality demand is inferred mainly according to economic (income or prices of products and services), sociological (age, sex or educational level) or seasonal variables (environment or temperature) [3,[44][45][46][47][48]. In this work, we start from the fact that the previous information is characterised by total uncertainty.…”
Section: Methodsmentioning
confidence: 99%
“…However, the randomness of a time series presents some problems that classical methods cannot overcome. This is a fundamental assumption that proposes to overcome the traditional barriers of orthodox analysis methods, where conventional tourist causality demand is inferred mainly according to economic (income or prices of products and services), sociological (age, sex or educational level) or seasonal variables (environment or temperature) [3,[44][45][46][47][48]. In this work, we start from the fact that the previous information is characterised by total uncertainty.…”
Section: Methodsmentioning
confidence: 99%