English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The purpose of this paper is to study the behavior characteristics and spatiotemporal distribution of groups’ multi-day leisure travel, and to quantify the impact of the elderly and children on group travel choices. Based on questionnaire and social media data, three choice models and an agent-based simulation model were established to explore the micro-choice behavior characteristics and the macro-spatiotemporal distribution of groups’ multi-day leisure travel by arranging the travel rules and by simulating the route of travel groups. The results of data analysis and simulation indicate that: (1) Travel groups with the elderly or children are less affected by the high-speed railway network and prefer self-driving traveling. (2) Groups with the elderly or children tend to travel for more days and visit more cities, while groups without the elderly or children pursue high-quality tourism resources. (3) High-quality tourist attractions bring more tourists to nearby tourist attractions, promoting regional tourism cooperation.

Analysis of groups’ multi-day leisure travel behaviors