Forecasting in tourism
Bibliographic Data
| ID | 19375487 |
|---|---|
| Authors | Norbert Vanhove (corresponding author) |
| Year | 1980 |
| Volume | 35 |
| Issue | 3 |
| Pages | 2-7 |
| Publication date | 1980-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The Tourist Review (JOURNAL) |
| Journal identifiers | ISSN: 0251-3102 • E-ISSN: 1759-8451 |
| Publisher | Emerald (PUBLISHER) |
| DOI | 10.1108/eb057814 |
| OpenAlex | W2003797546 |
| Language | EN |
| Citations received | 10 |
| References cited | 3 |
1. The Mathematical‐Type Techniques. The most commonly employed mathematical‐type techniques are the multi‐variate regression analysis and gravity and trip generation models
Econometrics · Geography · Machine learning · Mathematical model · Mathematical statistics · Random variable · Random variate · Regression analysis · Statistics · Tourism · Computer Science · Cruise Tourism Development and Management · Diverse Aspects of Tourism Research · Mathematics · Transportation Planning and Optimization · Geology
Can futures research contribute to tourism policy
Forecasting tourism demand
The Study of International Tourism Demand
Tourism Demand Modeling and Forecasting
A review of research on tourism demand forecasting
The forecasting of International Expo tourism using quantitative and qualitative techniques
Multimethod forecasts for tourism analysis
Competitive potential of tourism in destinations
Allocating an advertising budget to international travel markets
Accuracy of econometric forecasts of tourism
| Unique citing works | 10 |
|---|---|
| Citations per year | 0,23 |
| Citation span | 1982 - 2019 (38) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 9 |