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2010, ISBN 9780754670513, xx, 286
In recent years, airline practitioners and academics have started to explore new ways to model airline passenger demand using discrete choice methods. This... 
Aeronautics, Commercial | Discrete-time systems | Passenger traffic | Scheduling | Mathematical models | Mathematics | Demand (Economic theory) | Industry & industrial studies | Aeronautics
Book
2009, Routledge advances in tourism, ISBN 9780415991209, Volume 13, xii, 221
Tourism demand is the foundation on which all tourism-related business decisions ultimately rest. Governments and companies such as airlines, tour operators,... 
Tourism Geography | Economic Forecasting | Tourism Planning and Policy | Economic Geography | Tourism | Forecasting | Econometric models
Book
Tourism Management, ISSN 0261-5177, 2008, Volume 29, Issue 2, pp. 203 - 220
This paper reviews the published studies on tourism demand modelling and forecasting since 2000. One of the key findings of this review is that the methods... 
Tourism demand | Forecasting | Modelling | UNITED-STATES | SYSTEM | COINTEGRATION ANALYSIS | INTERNATIONAL TRAVEL DEMAND | tourism demand | MANAGEMENT | MARKET SHARES | forecasting | modelling | ACCURACY | TIME-SERIES | NEURAL-NETWORK | HOSPITALITY, LEISURE, SPORT & TOURISM | FLOWS | ENVIRONMENTAL STUDIES | ARRIVALS | Travel industry | Models | Econometric models
Journal Article
Energy Policy, ISSN 0301-4215, 02/2012, Volume 41, Issue 1, pp. 36 - 46
The objective of this paper is to analyze the impact of changes in fuel prices and fuel intensity (i.e. liters of fuel used per 100kilometers) on overall fuel... 
Fuel intensity | Transport | Energy demand | ENVIRONMENTAL SCIENCES | ENVIRONMENTAL STUDIES | ENERGY & FUELS | Studies | Energy efficiency | Energy policy | Gasoline prices | Cointegration analysis | Vehicles
Journal Article
Tourism Management, ISSN 0261-5177, 04/2017, Volume 59, pp. 57 - 66
Researchers have adopted online data such as search engine query volumes to forecast tourism demand for a destination, including tourist numbers and hotel... 
Big data analytics | Tourism demand forecast | Generalized dynamic factor model | Search query data | Composite search index | REVIEWS | MANAGEMENT | ANALYTICS | ACCURACY | BIG DATA | NEURAL-NETWORK | HOSPITALITY, LEISURE, SPORT & TOURISM | DYNAMIC-FACTOR MODEL | ENVIRONMENTAL STUDIES | ARRIVALS | Travel industry | Analysis | Forecasts and trends | Big data
Journal Article
Transportation Research Record, ISSN 0361-1981, 2007, Volume 2031, Issue 2031, pp. 9 - 17
The levels of bicycling in the United States, particularly for nonrecreation purposes and among adults, are low. Only about 1% of the trips that people make in... 
TRANSPORTATION SCIENCE & TECHNOLOGY | WALKING | ENGINEERING, CIVIL | FRANCISCO BAY AREA
Conference Proceeding
Transportation Research Part A, ISSN 0965-8564, 03/2019, Volume 121, pp. 346 - 359
Effective management of demand information is a critical factor in the successful operation of autonomous mobility-on-demand (AMoD) systems. This paper... 
Agent-based simulation | Mobility-on-demand systems | Fleet management | Value of information | Autonomous vehicles | VEHICLE | TRANSPORTATION | SEARCH | BEHAVIOR | RIDERSHIP | TRAVELER INFORMATION | TIME | SIMULATION | PREDICTION | CHOICE | BIG DATA | TRANSPORTATION SCIENCE & TECHNOLOGY | ECONOMICS | Case studies | Driverless cars
Journal Article
Transportation Research Part A, ISSN 0965-8564, 10/2018, Volume 116, pp. 635 - 649
Transit demand models have become indispensable tools for transit planners and mangers in the 21st century. By quantifying the relationship between transit... 
Origin-destination ridership | Direct transit demand model | Transit oriented development | Fare-card data | Metrorail transit | Multilevel (hierarchical) modeling | TRANSPORTATION | RIDERSHIP | LEVEL | TIME PERIOD | REVENUES | BUS COSTS | TRANSPORTATION SCIENCE & TECHNOLOGY | ECONOMICS | Railroads | Stations | Usage | Subways | Smart growth (Land use planning) | Households
Journal Article