Measurement of coordination level and identification of influencing factors among exhibition industry, transportation industry, and tourism industry based on coupled coordination obstacle degree model

The exhibition industry has strong interdependence and mutual promotion with the transportation and tourism industries. Studying the coordination level of exhibition-transportation-tourism and exploring the factors that affect coordination is an important topic. Wuhan has abundant tourism resources and is a hub for nine provinces, but exhibition level is not high. It is necessary to accurately determine the influencing factors of the coordination among exhibition,tourism,and transportation, so that Wuhan's good transportation conditions and tourism resources can provide support for the development of the exhibition industry. This article takes Wuhan as the research object, constructs a comprehensive evaluation index system for the exhibition-transportation-tourism in Wuhan and collects receipts. By using entropy method, comprehensive evaluation model, coupling degree, and coupling coordination degree model, the comprehensive development level and coupling coordination level of the three industries from 2013 to 2022 are calculated and analyzed, and the main obstacle factors are calculated through the obstacle degree model. The research conclusion is as follows. Firstly, the coupling degree between the exhibition industry, transportation industry, and tourism industry in Wuhan is extremely high, and the coupling coordination degree shows a fluctuating upward trend, indicating an unstable coupling coordination situation. Second, the COVID-19 in 2020 has a great impact on Wuhan's exhibition industry, transportation industry and tourism industry, and the economic benefits will be affected. The third is that the level of influence of exhibitions, transportation capacity, and tourism scale are the key obstacles. Based on these three obstacles and the background of the big data era, countermeasures are got to jointly improve the high-quality integrated growth of the three.

Authors

Institutions

Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1145/3723420.3723427
Primary Topic
Conferences and Exhibitions Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Measurement of coordination level and identification of influencing factors among exhibition industry, transportation industry, and tourism industry based on coupled coordination obstacle degree model

Huan Gong, Xiuli Wang, Jian Wang, Tian Jun et al.
Conferences and Exhibitions Management
article

Measurement of coordination level and identification of influencing factors among exhibition industry, transportation industry, and tourism industry based on coupled coordination obstacle degree model

Huan Gong, Xiuli Wang, Jian Wang, Tian Jun, Rui Yang, Xingyan Nie
article en

Abstract

The exhibition industry has strong interdependence and mutual promotion with the transportation and tourism industries. Studying the coordination level of exhibition-transportation-tourism and exploring the factors that affect coordination is an important topic. Wuhan has abundant tourism resources and is a hub for nine provinces, but exhibition level is not high. It is necessary to accurately determine the influencing factors of the coordination among exhibition,tourism,and transportation, so that Wuhan's good transportation conditions and tourism resources can provide support for the development of the exhibition industry. This article takes Wuhan as the research object, constructs a comprehensive evaluation index system for the exhibition-transportation-tourism in Wuhan and collects receipts. By using entropy method, comprehensive evaluation model, coupling degree, and coupling coordination degree model, the comprehensive development level and coupling coordination level of the three industries from 2013 to 2022 are calculated and analyzed, and the main obstacle factors are calculated through the obstacle degree model. The research conclusion is as follows. Firstly, the coupling degree between the exhibition industry, transportation industry, and tourism industry in Wuhan is extremely high, and the coupling coordination degree shows a fluctuating upward trend, indicating an unstable coupling coordination situation. Second, the COVID-19 in 2020 has a great impact on Wuhan's exhibition industry, transportation industry and tourism industry, and the economic benefits will be affected. The third is that the level of influence of exhibitions, transportation capacity, and tourism scale are the key obstacles. Based on these three obstacles and the background of the big data era, countermeasures are got to jointly improve the high-quality integrated growth of the three.

Wuhan Business University (CN), Rajamangala University of Technology Tawan-ok (TH)
Wuhan University
Decent work and economic growth
Openalex Percentile: Top 52%
Conferences and Exhibitions Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.