Air Trips in Year y for Stated Purpose under Leisure Category Calculator

✖Population of Origin City is the whole number of people or inhabitants in the origin city.ⓘ Population of Origin City [P_i]			+10% -10%
✖Regression Contant a is the constant in a regression equation represents the y-intercept or baseline value, which is the expected value of the dependent variable.ⓘ Regression Contant a [a]			+10% -10%
✖Regression Contant b is the constant in a regression equation represents the y-intercept or baseline value, which is the expected value of the dependent variable.ⓘ Regression Contant b [b]			+10% -10%
✖Income, station affinity, propensity to invest and trade in year y for leisure.ⓘ Income [f_yl]			+10% -10%
✖Constant Reflection Surface Route Saturation is a value or number that does not change in expression.ⓘ Constant Reflection Surface Route Saturation [K]			+10% -10%
✖Mean Total Effective Fair (fare, supplements, and travel time) is denoted by F.ⓘ Mean Total Effective Fair [F]			+10% -10%
✖Mean Income of Households of potential travelers in origin country.ⓘ Mean Income of Households [I]			+10% -10%
✖Constant q for two category model developed for leisure air trips.ⓘ Constant q [q]			+10% -10%

✖Air Trips in Year y for stated Purpose is defined as the total leisure flights made for the purpose under consideration in a certain number of years.ⓘ Air Trips in Year y for Stated Purpose under Leisure Category [II]

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Air Trips in Year y for Stated Purpose under Leisure Category Solution

STEP 0: Pre-Calculation Summary

Formula Used

Air Trips in Year y for stated Purpose = Population of Origin City*(Regression Contant a+(Regression Contant b*Income)*(1/(1+(Constant Reflection Surface Route Saturation*(Mean Total Effective Fair/Mean Income of Households)^Constant q))))
II = P_i*(a+(b*f_yl)*(1/(1+(K*(F/I)^q))))
This formula uses 9 Variables

Variables Used

Air Trips in Year y for stated Purpose - Air Trips in Year y for stated Purpose is defined as the total leisure flights made for the purpose under consideration in a certain number of years.
Population of Origin City - Population of Origin City is the whole number of people or inhabitants in the origin city.
Regression Contant a - Regression Contant a is the constant in a regression equation represents the y-intercept or baseline value, which is the expected value of the dependent variable.
Regression Contant b - Regression Contant b is the constant in a regression equation represents the y-intercept or baseline value, which is the expected value of the dependent variable.
Income - Income, station affinity, propensity to invest and trade in year y for leisure.
Constant Reflection Surface Route Saturation - Constant Reflection Surface Route Saturation is a value or number that does not change in expression.
Mean Total Effective Fair - Mean Total Effective Fair (fare, supplements, and travel time) is denoted by F.
Mean Income of Households - Mean Income of Households of potential travelers in origin country.
Constant q - Constant q for two category model developed for leisure air trips.

STEP 1: Convert Input(s) to Base Unit

Population of Origin City: 60 --> No Conversion Required
Regression Contant a: 0.6 --> No Conversion Required
Regression Contant b: 0.8 --> No Conversion Required
Income: 6 --> No Conversion Required
Constant Reflection Surface Route Saturation: 0.98 --> No Conversion Required
Mean Total Effective Fair: 32 --> No Conversion Required
Mean Income of Households: 68 --> No Conversion Required
Constant q: 10.2 --> No Conversion Required

STEP 2: Evaluate Formula

Substituting Input Values in Formula

II = P_i*(a+(b*f_yl)*(1/(1+(K*(F/I)^q)))) --> 60*(0.6+(0.8*6)*(1/(1+(0.98*(32/68)^10.2))))

Evaluating ... ...

II = 323.870770246842

STEP 3: Convert Result to Output's Unit

323.870770246842 --> No Conversion Required

FINAL ANSWER

323.870770246842 ≈ 323.8708 <-- Air Trips in Year y for stated Purpose

(Calculation completed in 00.004 seconds)

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Created by Mithila Muthamma PA

Coorg Institute of Technology (CIT), Coorg

Mithila Muthamma PA has created this Calculator and 2000+ more calculators!

Verified by M Naveen

National Institute of Technology (NIT), Warangal

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< Generation Distribution Models Calculators

Population at i given Air Trips between i and j

LaTeX Go Population of Origin City = Air Trips between i and j/((Calibrated Constant+(Country Pair Relation Index*Number of Years)+(Factor to Adjust for Quantum Effects))*Population of Destination City)

Air Trips between i and j

LaTeX Go Air Trips between i and j = (Population of Origin City*Population of Destination City)*(Calibrated Constant+(Country Pair Relation Index*Number of Years)+(Factor to Adjust for Quantum Effects))

Factor to adjust for Quantum Effects given Air Trips between i and j

LaTeX Go Factor to Adjust for Quantum Effects = (Air Trips between i and j/(Population of Origin City*Population of Destination City))-Calibrated Constant-(Country Pair Relation Index*Number of Years)

Time in Years given Air Trips between i and j

LaTeX Go Number of Years = ((Air Trips between i and j/(Population of Origin City*Population of Destination City))-Calibrated Constant-Factor to Adjust for Quantum Effects)/Country Pair Relation Index

Air Trips in Year y for Stated Purpose under Leisure Category Formula

LaTeX Go

What is Trip Distribution Model?

The Trip Distribution Model predicts the level of trip interchange between designated airport pairs once the level of generation of the air trip ending at the individual airport has been computed. The most widely used distribution model applied to the transport situation has been the gravity model.

What is Revenue Passenger Mile (RPM)?

A Revenue Passenger Mile (RPM) is a transportation industry metric that shows the number of miles travelled by paying passengers and is typically an airline traffic statistic. Revenue passenger miles are calculated by multiplying the number of paying passengers by the distance travelled.

How to Calculate Air Trips in Year y for Stated Purpose under Leisure Category?

Air Trips in Year y for Stated Purpose under Leisure Category calculator uses Air Trips in Year y for stated Purpose = Population of Origin City*(Regression Contant a+(Regression Contant b*Income)*(1/(1+(Constant Reflection Surface Route Saturation*(Mean Total Effective Fair/Mean Income of Households)^Constant q)))) to calculate the Air Trips in Year y for stated Purpose, The Air Trips in Year y for Stated Purpose under Leisure Category is defined as total leisure flights made for purpose under consideration in certain number of years. Air Trips in Year y for stated Purpose is denoted by II symbol.

How to calculate Air Trips in Year y for Stated Purpose under Leisure Category using this online calculator? To use this online calculator for Air Trips in Year y for Stated Purpose under Leisure Category, enter Population of Origin City (P_i), Regression Contant a (a), Regression Contant b (b), Income (f_yl), Constant Reflection Surface Route Saturation (K), Mean Total Effective Fair (F), Mean Income of Households (I) & Constant q (q) and hit the calculate button. Here is how the Air Trips in Year y for Stated Purpose under Leisure Category calculation can be explained with given input values -> 323.8708 = 60*(0.6+(0.8*6)*(1/(1+(0.98*(32/68)^10.2)))).

FAQ

What is Air Trips in Year y for Stated Purpose under Leisure Category?

The Air Trips in Year y for Stated Purpose under Leisure Category is defined as total leisure flights made for purpose under consideration in certain number of years and is represented as II = P_i*(a+(b*f_yl)*(1/(1+(K*(F/I)^q)))) or Air Trips in Year y for stated Purpose = Population of Origin City*(Regression Contant a+(Regression Contant b*Income)*(1/(1+(Constant Reflection Surface Route Saturation*(Mean Total Effective Fair/Mean Income of Households)^Constant q)))). Population of Origin City is the whole number of people or inhabitants in the origin city, Regression Contant a is the constant in a regression equation represents the y-intercept or baseline value, which is the expected value of the dependent variable, Regression Contant b is the constant in a regression equation represents the y-intercept or baseline value, which is the expected value of the dependent variable, Income, station affinity, propensity to invest and trade in year y for leisure, Constant Reflection Surface Route Saturation is a value or number that does not change in expression, Mean Total Effective Fair (fare, supplements, and travel time) is denoted by F, Mean Income of Households of potential travelers in origin country & Constant q for two category model developed for leisure air trips.

How to calculate Air Trips in Year y for Stated Purpose under Leisure Category?

The Air Trips in Year y for Stated Purpose under Leisure Category is defined as total leisure flights made for purpose under consideration in certain number of years is calculated using Air Trips in Year y for stated Purpose = Population of Origin City*(Regression Contant a+(Regression Contant b*Income)*(1/(1+(Constant Reflection Surface Route Saturation*(Mean Total Effective Fair/Mean Income of Households)^Constant q)))). To calculate Air Trips in Year y for Stated Purpose under Leisure Category, you need Population of Origin City (P_i), Regression Contant a (a), Regression Contant b (b), Income (f_yl), Constant Reflection Surface Route Saturation (K), Mean Total Effective Fair (F), Mean Income of Households (I) & Constant q (q). With our tool, you need to enter the respective value for Population of Origin City, Regression Contant a, Regression Contant b, Income, Constant Reflection Surface Route Saturation, Mean Total Effective Fair, Mean Income of Households & Constant q and hit the calculate button. You can also select the units (if any) for Input(s) and the Output as well.

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