The most important and highest-quality articles using regression models for tourism and passenger demand forecasting
| Authors | Purpose | Demand type and period | Determinants | Modeling |
|---|---|---|---|---|
| Varagouli et al. (2005) | Forecasting the travel demand | Number of passengers traveling by car | GDP of both origin and destination zones/Population of the both origin and destination zones/Number of cars per thousand inhabitants of the origin zone/Trip time by car or trip length/Trip price by car | Multiple linear regression |
| Wu et al. (2012) | Forecasting the tourism demand based on the external effective factors | Monthly international tourist arrivals | Travel demand by each origin country/Income of origins/Prices in destination/Transportation costs/Foreign exchange rate/Population of the origin country/… | Sparse Gaussian process regression/ARIMA/v-SVM/g-SVM |
| Sivrikaya and Tunç (2013) | Predicting the domestic air transport demand | Number of passengers carried per city pair | Urban population/Bedding capacity/Distance/Transit/Price/Airline count/Travel match/Schedule consistency/Travel time | Semi-logarithmic regression model |
| Chu (2014) | Predicting the tourism demand | Monthly tourist arrivals | Historic monthly tourist arrival data | Logistic growth regression/SARIMA/Naïve 1 |
| Semeida (2014) | Predicting the taxi passenger demand | Number of trips per person per year | Distance/Population/Area/Income/Travel time/Travel cost/Trip frequency | Multiple linear Regression/Generalized linear modeling |
| Chinnakum and Boonyasana (2017) | Modeling the tourism demand for Thailand | Annual tourist arrivals | Gross domestic product per capita/Relative price of tourism in Thailand/Exchange rate/Population | Panel data regression models |
| Authors | Purpose | Demand type and period | Determinants | Modeling |
|---|---|---|---|---|
| Forecasting the travel demand | Number of passengers traveling by car | GDP of both origin and destination zones/Population of the both origin and destination zones/Number of cars per thousand inhabitants of the origin zone/Trip time by car or trip length/Trip price by car | Multiple linear regression | |
| Forecasting the tourism demand based on the external effective factors | Monthly international tourist arrivals | Travel demand by each origin country/Income of origins/Prices in destination/Transportation costs/Foreign exchange rate/Population of the origin country/… | Sparse Gaussian process regression/ARIMA/v-SVM/g-SVM | |
| Predicting the domestic air transport demand | Number of passengers carried per city pair | Urban population/Bedding capacity/Distance/Transit/Price/Airline count/Travel match/Schedule consistency/Travel time | Semi-logarithmic regression model | |
| Predicting the tourism demand | Monthly tourist arrivals | Historic monthly tourist arrival data | Logistic growth regression/SARIMA/Naïve 1 | |
| Predicting the taxi passenger demand | Number of trips per person per year | Distance/Population/Area/Income/Travel time/Travel cost/Trip frequency | Multiple linear Regression/Generalized linear modeling | |
| Modeling the tourism demand for Thailand | Annual tourist arrivals | Gross domestic product per capita/Relative price of tourism in Thailand/Exchange rate/Population | Panel data regression models |
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