| 000 | 02403nam a2200289 i 4500 | ||
|---|---|---|---|
| 003 | CSPC | ||
| 005 | 20260805101904.0 | ||
| 008 | 260730s2023 ii b 001 0 eng d | ||
| 020 | _a9789395431774 | ||
| 040 |
_aCSPC _beng _cCSPC _erda |
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| 050 | 0 | 0 |
_aG155.A1 _b.V47 2023 |
| 082 | 0 | 0 |
_a338.4791 _bV59f _223 |
| 100 | 1 |
_aVerma, Gopal, _eauthor. |
|
| 245 | 1 | 0 |
_aForecasting tourism demand / _cGopal Verma. |
| 250 | _aFirst edition. | ||
| 264 | 1 |
_aNew Delhi, India : _bVenus Books, _c2023. |
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| 300 |
_axi, 320 pages ; _c24 cm. |
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| 336 |
_2rdacontent _atext |
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| 337 |
_2rdamedia _aunmediated |
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| 338 |
_2rdacarrier _avolume |
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| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _aThe 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 | |
| 520 | _a"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. | ||
| 650 | 0 |
_aTourism _xForecasting. |
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| 942 |
_2ddc _n0 _cBK _h338.4791 _iV59f _kGRD _m2023 _e23 |
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| 999 |
_c32793 _d32793 |
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