Modeling the Trip Distributions of Tourists Based on Trip Chain and Entropy-Maximizing Theory

Suburban tourist railway is an emerging transportation mode for tourism. Knowing the travel demand and trip distribution patterns of tourists is an important prerequisite to the planning and construction of suburban tourist railways. However, this issue has attracted very little research attention s...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhi-Wei Hou, Shijun Yu, Tao Ji
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	suburban tourist railway tourism activity model trip chain maximum entropy trip distribution Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/27d324c2cce64eb7a37a9ba3dc75c07f
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:27d324c2cce64eb7a37a9ba3dc75c07f
record_format	dspace
spelling	oai:doaj.org-article:27d324c2cce64eb7a37a9ba3dc75c07f2021-11-11T15:07:44ZModeling the Trip Distributions of Tourists Based on Trip Chain and Entropy-Maximizing Theory10.3390/app1121100582076-3417https://doaj.org/article/27d324c2cce64eb7a37a9ba3dc75c07f2021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10058https://doaj.org/toc/2076-3417Suburban tourist railway is an emerging transportation mode for tourism. Knowing the travel demand and trip distribution patterns of tourists is an important prerequisite to the planning and construction of suburban tourist railways. However, this issue has attracted very little research attention so far. Therefore, this paper proposes a forecasting model focused on the trip distribution of tourists who travel with the suburban tourist railway. Based on the analysis of the characteristics of tourists’ trips and the use of the trip chain method, the frequency, order, distance, and visiting volume of stay points of the trips of tourists have been intensively studied. Then, a tourist trip distribution forecasting model was built in this paper. It uses the Entropy-Maximizing theory to predict trip chain distribution probability and obtain the distribution of tourists within the city. A case study that takes the H city as an example was conducted to test the proposed model. The results of this case show that the output of the model can reflect the real trip distribution characteristics of tourists very well, which demonstrates the applicability and effectiveness of the proposed model.Zhi-Wei HouShijun YuTao JiMDPI AGarticlesuburban tourist railwaytourism activity modeltrip chainmaximum entropytrip distributionTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10058, p 10058 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	suburban tourist railway tourism activity model trip chain maximum entropy trip distribution Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	suburban tourist railway tourism activity model trip chain maximum entropy trip distribution Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Zhi-Wei Hou Shijun Yu Tao Ji Modeling the Trip Distributions of Tourists Based on Trip Chain and Entropy-Maximizing Theory
description	Suburban tourist railway is an emerging transportation mode for tourism. Knowing the travel demand and trip distribution patterns of tourists is an important prerequisite to the planning and construction of suburban tourist railways. However, this issue has attracted very little research attention so far. Therefore, this paper proposes a forecasting model focused on the trip distribution of tourists who travel with the suburban tourist railway. Based on the analysis of the characteristics of tourists’ trips and the use of the trip chain method, the frequency, order, distance, and visiting volume of stay points of the trips of tourists have been intensively studied. Then, a tourist trip distribution forecasting model was built in this paper. It uses the Entropy-Maximizing theory to predict trip chain distribution probability and obtain the distribution of tourists within the city. A case study that takes the H city as an example was conducted to test the proposed model. The results of this case show that the output of the model can reflect the real trip distribution characteristics of tourists very well, which demonstrates the applicability and effectiveness of the proposed model.
format	article
author	Zhi-Wei Hou Shijun Yu Tao Ji
author_facet	Zhi-Wei Hou Shijun Yu Tao Ji
author_sort	Zhi-Wei Hou
title	Modeling the Trip Distributions of Tourists Based on Trip Chain and Entropy-Maximizing Theory
title_short	Modeling the Trip Distributions of Tourists Based on Trip Chain and Entropy-Maximizing Theory
title_full	Modeling the Trip Distributions of Tourists Based on Trip Chain and Entropy-Maximizing Theory
title_fullStr	Modeling the Trip Distributions of Tourists Based on Trip Chain and Entropy-Maximizing Theory
title_full_unstemmed	Modeling the Trip Distributions of Tourists Based on Trip Chain and Entropy-Maximizing Theory
title_sort	modeling the trip distributions of tourists based on trip chain and entropy-maximizing theory
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/27d324c2cce64eb7a37a9ba3dc75c07f
work_keys_str_mv	AT zhiweihou modelingthetripdistributionsoftouristsbasedontripchainandentropymaximizingtheory AT shijunyu modelingthetripdistributionsoftouristsbasedontripchainandentropymaximizingtheory AT taoji modelingthetripdistributionsoftouristsbasedontripchainandentropymaximizingtheory
_version_	1718437114629062656

Modeling the Trip Distributions of Tourists Based on Trip Chain and Entropy-Maximizing Theory

Ejemplares similares