Alternative Modelling to Estimate Freight Trip Generation

2020 ◽  
Author(s):  
Francisco Da Silva ◽  
Leise Kelli de Oliveira
Keyword(s):  
Trip Generation

ANALISIS MODEL KEBUTUHAN PERGERAKAN PENUMPANG DAN BARANG BANDARA RAHADI OESMAN KETAPANG

2012 ◽  
Vol 10 (1) ◽  
Author(s):  
. Elsa Trimukti
Keyword(s):  
Growth Rate ◽  
Trend Analysis ◽  
Polynomial Regression ◽  
Air Transport ◽  
Trip Generation ◽  
Analysis Model ◽  
Exponential Regression ◽  
Share Model ◽  
Strategic Role ◽  
Analysis Models

Airport of Rahadi Oesman in Kabupaten Ketapang Kalimantan Barat represent the main and important gate for air transport in Kabupaten Ketapang, where this airport own the strategic role in service activities of this transportation even for domestic transportation or regional. Activity in Airport of Rahadi Oesman in a few this the last year has growth so fast growth, so that felt the infrastructure and also available facility in this time have is not adequate again to support the growth rate of air traffic in this airport. In the plan development of facility of air side and also land side of the airport require to be conducted an analysis model of trip generation or attraction of passenger and goods. These models need for the prediction of mount the growth of passenger and goods/cargo and estimate the amount of passenger and aircraft movement in the future pursuant to aircraft characteristic that to be used. The models used for prediction of passenger and goods in this study are Trend Analysis Models consisted of linear regression trend method, exponential regression trend method, and polynomial regression trend method. Besides model of trend analysis, in this study also analyzed Market Share Model. Result from third model then compared to one another to obtain the most appropriate model. Pursuant to analyses result obtained that the best or most appropriate model is Model of Trend Analysis.Model for the attraction passenger is Y = 21,18X2+ 6181X + 5788 by R2= 0,922.Model for the generation passenger is Y = 128,3X2+ 7515X + 4965 by R2= 0,907.Model for the passenger of transit is Y = 795X2+ 561X + 3361 by R2= 1Model for the cargo movement is Y = 2468X2+ 41054X 28341 by R2= 0,918.

Urban Structure, Trip Generation, and Pollution: A Review

1979 ◽  
Vol 9 (1) ◽  
pp. 17-28 ◽  
Author(s):  
Bart D. Ostro ◽  
Joel L. Naroff
Keyword(s):  
Urban Structure ◽  
Trip Generation

Patterns and predictors of dockless bikeshare trip generation and duration in Boston’s suburbs

2021 ◽  
Author(s):  
Steven R. Gehrke ◽  
Bita Sadeghinasr ◽  
Qi Wang ◽  
Timothy G. Reardon
Keyword(s):  
Trip Generation

Site characteristics associated with multi-modal trip generation rates at residential developments

2021 ◽  
Vol 103 ◽  
pp. 127-145
Author(s):  
Chris De Gruyter ◽  
Seyed Mojib Zahraee ◽  
Nirajan Shiwakoti
Keyword(s):  
Trip Generation ◽  
Residential Developments ◽  
Site Characteristics

Time-dependent patterns in freight trip generation

2021 ◽  
Vol 148 ◽  
pp. 423-444
Author(s):  
José Holguín-Veras ◽  
Diana Ramirez-Rios ◽  
Sofía Pérez-Guzmán
Keyword(s):  
Time Dependent ◽  
Trip Generation
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