City Characteristics in the Development of an Air Travel Forecasting Model: The Case of Tucson, Arizona

1974 ◽  
Vol 12 (3) ◽  
pp. 7-9 ◽  
Author(s):  
George F. Leaming ◽  
Nat De Gennaro
Keyword(s):  
Air Travel ◽  
Forecasting Model ◽  
Travel Forecasting

scholarly journals Air passenger travel forecasting model based on both dynamical individual behavior and social influence force

2019 ◽  
Vol 13 ◽  
pp. 174830261988139
Author(s):  
Jialiang Wang ◽  
Xiaoqing Liu ◽  
Jianli Ding
Keyword(s):  
Driving Force ◽  
Social Relationship ◽  
Forecasting Model ◽  
Passenger Satisfaction ◽  
Travel Forecasting ◽  
Passenger Travel ◽  
Social Affect ◽  
Affect Factor ◽  
Weight Allocation ◽  
Airline Company

Air passenger travel forecasting is necessary and becomes very valuable for airline company, because accurately obtaining practical requirements of air passenger, which can not only help airline company to improve air passenger satisfaction degree and enhance user experience so as to gain huge revenue, but also can help air passengers discover suitable travel plan quickly. In order to generate the air passenger travel forecasting model, this paper aims to analyze the internal driving force and social affect factor simultaneously, which was based on dynamical personal behaviors and air passenger social relationship exactly. In particular, three aspects in terms of dynamical personal behaviors, effect of fellow air passenger, and influence of similar air passenger are all considered simultaneously, and then the data from these aspects are further trained so as to obtain weight allocation in many different scenarios. Besides, workday and non-workday are separately considered in order to make the forecasting model feasible and effective.

scholarly journals Integrated Forecasting Model for International Air Travel Demand

1993 ◽  
Vol 11 ◽  
pp. 239-246 ◽  
Author(s):  
Masahiko FURUICHI ◽  
Frank S. KOPPELMAN
Keyword(s):  
Travel Demand ◽  
Air Travel ◽  
Forecasting Model ◽  
Air Travel Demand

scholarly journals Aggregate vehicle travel forecasting model

10.2172/97193 ◽  
1995 ◽  
Author(s):  
D.L. Greene ◽  
Shih-Miao Chin ◽  
R. Gibson
Keyword(s):  
Forecasting Model ◽  
Travel Forecasting

Integrated Decision Support Tool for Evaluating Transit and Land-Use Coordination Policies

1997 ◽  
Vol 1604 (1) ◽  
pp. 26-31
Author(s):  
Thomas D. Fox ◽  
William Bowlby
Keyword(s):  
Land Use ◽  
Decision Support ◽  
Air Quality ◽  
Decision Support Tool ◽  
Quality Analysis ◽  
Forecasting Model ◽  
Transit Oriented Development ◽  
Support Tool ◽  
Travel Forecasting ◽  
Wide Range

Policy makers in many urban areas have begun to embrace the principles of transit-oriented development as a means to create more livable communities and of light rail transit as a means to address congestion and air-quality problems. A policy-oriented screening tool for applying rigorous technical analyses to transit-oriented development policies to give decision makers meaningful information about a wide range of potential land-use, transit service and financing, and parking management policies is described. The decision support tool (DST) uses a simplified version of the regional travel forecasting model and includes an air-quality analysis module. The DST was validated to the Memphis regional travel forecasting model, and enhancements were incorporated for studying the effects of specific land-use, transit, and parking-policy assumptions. DST provides policy-related output data such as percentage of development in the corridor; transit ridership; annual transit operating cost, revenue, deficit, and cost recovery ratio; annual transit capital cost; and air-quality benefits. A sample application of the model for the Poplar Corridor in Memphis, Tennessee, is presented.

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