Research on the Design of Research Tourism Products under the Background of “Internet Plus”: Based on RMP Model Analysis

Qing He, Jingrong Sun

2022

Abstract

Taking The Tongli Ancient Town as an example, this paper analyzes the research tourism resources of Tongli Ancient Town by using the RMP analysis model, quantitatively analyzes the market demand of research tourism by using questionnaire surveys data, and on this basis, designs the research tourism products of ancient town by combining Internet technology and animation culture. Present a more attractive design scheme for "Animation IP+ Ancient Town" researches tourism products. The results demonstrate that: (1) The intelligent cloud platform is conducive to real-time access to research tourism information, and personalized customization of research tourism intelligent application scenarios are conducive to the immersion experience of research tourists. (2) Integration of animation culture makes the research tourism products more attractive. In the "teaching in fun", students' learning is turned from passive input to active exploration for phased self incubation.

Paper Citation

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,
TI - Research on the Design of Research Tourism Products under the Background of “Internet Plus”: Based on RMP Model Analysis
SN - 978-989-758-593-7
AU - He Q.
AU - Sun J.
PY - 2022
SP - 407
EP - 414
DO - 10.5220/0011182300003440

in Harvard Style

He Q. and Sun J. (2022). Research on the Design of Research Tourism Products under the Background of “Internet Plus”: Based on RMP Model Analysis. In Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM, ISBN 978-989-758-593-7, pages 407-414. DOI: 10.5220/0011182300003440

in Bibtex Style

@conference{bdedm22,
author={Qing He and Jingrong Sun},
title={Research on the Design of Research Tourism Products under the Background of “Internet Plus”: Based on RMP Model Analysis},
booktitle={Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,},
year={2022},
pages={407-414},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011182300003440},
isbn={978-989-758-593-7},
}