02403nam a2200289 i 4500 CSPC 20260805101904.0 260730s2023 ii b 001 0 eng d 9789395431774 CSPC eng CSPC rda G155.A1 .V47 2023 338.4791 V59f 23 Verma, Gopal, author. Forecasting tourism demand / Gopal Verma. First edition. New Delhi, India : Venus Books, 2023. xi, 320 pages ; 24 cm. rdacontent text rdamedia unmediated rdacarrier volume 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. Tourism Forecasting. ddc 0 BK 338.4791 V59f GRD 2023 23 0 0 ddc 0 0 CSPC CSPC GRD 2026-07-30 0 GRD 338.4791 V59f 2023 032146 2026-07-30 10:26:38 1-1 2026-07-30 BK 32793 32793