Forecasting tourism demand / Gopal Verma.
Material type:
TextPublisher: New Delhi, India : Venus Books, 2023Edition: First editionDescription: xi, 320 pages ; 24 cmContent type: - text
- unmediated
- volume
- 9789395431774
- 338.4791 V59f 23
- G155.A1 .V47 2023
| Item type | Current library | Shelving location | Call number | Copy number | Status | Date due | Barcode | |
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Main Library | Graduate School Library | GRD 338.4791 V59f 2023 (Browse shelf(Opens below)) | 1-1 | Available | 032146 |
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| GRD 338.476292 K952a 2023 Agricultural machinery industry / | GRD 338.476292220973 C838e 2022 Entrepreneurial governance in the neoliberal era : local government and the automotive industry / | GRD 338.4791 Es78r 2024 Role of social media and internet in tourism and hospitality / | GRD 338.4791 V59f 2023 Forecasting tourism demand / | GRD 338.47910285 K960i 2024 Information technology and tourism / | GRD 338.4791068 G151h 2023 Hospitality and tourism management strategies / | GRD 338.4791072 Si649h 2023 Hospitality research / |
Includes bibliographical references and index.
The demand for tourism -- Empirical studies of tourism demand -- Tourism as a development strategy -- Priorities of tourism policies and plans -- Tourism human resources -- Tourism in an international context -- The economic impact of tourism -- The hospitality sector -- Defining and analysing tourism and its impact
"Have you ever taken a vacation to a popular tourist area? Dedicated researchers in tourism planning allow experts to predict tourism demand for a specific area. Years before you left for that vacation, planners had a general idea of your destination. Tourism modeling and forecasting are ways to calculate and predict the amount of tourism that will happen in a specific area. Tourism is the organization of vacations to places of interest. Modeling and forecasting of tourism requires looking at a place of interest's variables to determine its popularity as a destination. These variables include, but are not limited to, economic growth, a region's attractions, fare prices, reputation, political security, and cleanliness. The tourism industry has experienced an overwhelming boom over recent years, and being able to predict future trends as accurately as possible is vital in the struggle to stay one step ahead of the competition. This book is ideal for marketing managers and strategic planners in business, transportation planners and economic policy makers in government who must project demand for their products among tourists"-- Back cover.
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