Determinants of trip duration for international tourists in Norway; a parametric survival analysis

How long a tourist stays in a host country acts as an indicator of tourism industry’s contribution towards the national economy. The purpose of this study is to examine how socio-demographic characteristics of international tourists, their travelling purpose, tourism products and characteristics of...

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Main Authors: Ashrafi Tannaz Alizadeh, Myrland Øystein
Format: Article in Journal/Newspaper
Language:unknown
Subjects:
Online Access:https://www.degruyter.com/view/j/ejthr.2017.8.issue-1/ejthr-2017-0008/ejthr-2017-0008.xml?format=INT
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spelling ftrepec:oai:RePEc:vrs:ejothr:v:8:y:2017:i:1:p:75-86:n:7 2023-05-15T17:43:21+02:00 Determinants of trip duration for international tourists in Norway; a parametric survival analysis Ashrafi Tannaz Alizadeh Myrland Øystein https://www.degruyter.com/view/j/ejthr.2017.8.issue-1/ejthr-2017-0008/ejthr-2017-0008.xml?format=INT unknown https://www.degruyter.com/view/j/ejthr.2017.8.issue-1/ejthr-2017-0008/ejthr-2017-0008.xml?format=INT article ftrepec 2020-12-04T13:35:57Z How long a tourist stays in a host country acts as an indicator of tourism industry’s contribution towards the national economy. The purpose of this study is to examine how socio-demographic characteristics of international tourists, their travelling purpose, tourism products and characteristics of the destination influence the length of stay in Norway, by estimating a parametric survival model. Total cost of trip, purpose of travel, type of accommodation and transportation, age of tourist and geographical area are key elements that explain the variation in the length of tourist stay in Norway. The Cox proportional hazard model with time-independent covariates indicates the survival probability of tourists with less budget constraints and younger ages is higher than that of low-spending tourists and elderly travelers. Moreover, tourists with the purpose of friend and family visitation are at lower risk of leaving Norway than are tourists with other purposes. In terms of tourism products, choosing camping sites as the type of accommodation and road transport as the mode of transportation are associated with the highest survival probability. Another key finding is that tourists stay longer in northern Norway than in southern Norway; hence, on average, tourists’ overall expenditures are higher in northern Norway. Tourism, Length of stay, Survival analysis, Cox proportional hazard model, Weibull distribution Article in Journal/Newspaper Northern Norway RePEc (Research Papers in Economics) Norway
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
description How long a tourist stays in a host country acts as an indicator of tourism industry’s contribution towards the national economy. The purpose of this study is to examine how socio-demographic characteristics of international tourists, their travelling purpose, tourism products and characteristics of the destination influence the length of stay in Norway, by estimating a parametric survival model. Total cost of trip, purpose of travel, type of accommodation and transportation, age of tourist and geographical area are key elements that explain the variation in the length of tourist stay in Norway. The Cox proportional hazard model with time-independent covariates indicates the survival probability of tourists with less budget constraints and younger ages is higher than that of low-spending tourists and elderly travelers. Moreover, tourists with the purpose of friend and family visitation are at lower risk of leaving Norway than are tourists with other purposes. In terms of tourism products, choosing camping sites as the type of accommodation and road transport as the mode of transportation are associated with the highest survival probability. Another key finding is that tourists stay longer in northern Norway than in southern Norway; hence, on average, tourists’ overall expenditures are higher in northern Norway. Tourism, Length of stay, Survival analysis, Cox proportional hazard model, Weibull distribution
format Article in Journal/Newspaper
author Ashrafi Tannaz Alizadeh
Myrland Øystein
spellingShingle Ashrafi Tannaz Alizadeh
Myrland Øystein
Determinants of trip duration for international tourists in Norway; a parametric survival analysis
author_facet Ashrafi Tannaz Alizadeh
Myrland Øystein
author_sort Ashrafi Tannaz Alizadeh
title Determinants of trip duration for international tourists in Norway; a parametric survival analysis
title_short Determinants of trip duration for international tourists in Norway; a parametric survival analysis
title_full Determinants of trip duration for international tourists in Norway; a parametric survival analysis
title_fullStr Determinants of trip duration for international tourists in Norway; a parametric survival analysis
title_full_unstemmed Determinants of trip duration for international tourists in Norway; a parametric survival analysis
title_sort determinants of trip duration for international tourists in norway; a parametric survival analysis
url https://www.degruyter.com/view/j/ejthr.2017.8.issue-1/ejthr-2017-0008/ejthr-2017-0008.xml?format=INT
geographic Norway
geographic_facet Norway
genre Northern Norway
genre_facet Northern Norway
op_relation https://www.degruyter.com/view/j/ejthr.2017.8.issue-1/ejthr-2017-0008/ejthr-2017-0008.xml?format=INT
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