Prediction and optimization of tourists’ spatial-temporal behavior during peak period in scenic spots: a simulation-based analysis
Tourists’ spatial-temporal behavior has complex and dynamic randomness, which affects the intelligent management of scenic spots. Understanding and mastering the spatial-temporal behavior of tourists within the peak period of scenic spots is one of the key means to improving the competitiveness of s...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2022-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/27/e3sconf_vesep2022_01086.pdf |
| _version_ | 1811178239008178176 |
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| author | Chen Liqiong Ge Peng Liu Zhusheng |
| author_facet | Chen Liqiong Ge Peng Liu Zhusheng |
| author_sort | Chen Liqiong |
| collection | DOAJ |
| description | Tourists’ spatial-temporal behavior has complex and dynamic randomness, which affects the intelligent management of scenic spots. Understanding and mastering the spatial-temporal behavior of tourists within the peak period of scenic spots is one of the key means to improving the competitiveness of scenic spots and enhancing tourism satisfaction. This paper explores how to effectively optimize the tourists’ spatial-temporal behavior and improve the overall efficiency of scenic spots. Firstly, we built a simulation model and found the transfer change law between attractions through historical data. Then, we predicted the spatial-temporal distribution of the number of tourists to their subsequent attractions and selected the minimum load attraction as the next destination for tourists. Finally, the simulation experiment proves that the dynamic selection optimization based on individual tourist behavior can balance the scenic spot load and alleviate the congestion level. |
| first_indexed | 2024-04-11T06:16:21Z |
| format | Article |
| id | doaj.art-55fa0295c1784ddc92d64d5b34f0059b |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-04-11T06:16:21Z |
| publishDate | 2022-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-55fa0295c1784ddc92d64d5b34f0059b2022-12-22T04:41:03ZengEDP SciencesE3S Web of Conferences2267-12422022-01-013600108610.1051/e3sconf/202236001086e3sconf_vesep2022_01086Prediction and optimization of tourists’ spatial-temporal behavior during peak period in scenic spots: a simulation-based analysisChen Liqiong0Ge Peng1Liu Zhusheng2Business School, Sichuan UniversityBusiness School, Sichuan UniversityBusiness School, Sichuan UniversityTourists’ spatial-temporal behavior has complex and dynamic randomness, which affects the intelligent management of scenic spots. Understanding and mastering the spatial-temporal behavior of tourists within the peak period of scenic spots is one of the key means to improving the competitiveness of scenic spots and enhancing tourism satisfaction. This paper explores how to effectively optimize the tourists’ spatial-temporal behavior and improve the overall efficiency of scenic spots. Firstly, we built a simulation model and found the transfer change law between attractions through historical data. Then, we predicted the spatial-temporal distribution of the number of tourists to their subsequent attractions and selected the minimum load attraction as the next destination for tourists. Finally, the simulation experiment proves that the dynamic selection optimization based on individual tourist behavior can balance the scenic spot load and alleviate the congestion level.https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/27/e3sconf_vesep2022_01086.pdf |
| spellingShingle | Chen Liqiong Ge Peng Liu Zhusheng Prediction and optimization of tourists’ spatial-temporal behavior during peak period in scenic spots: a simulation-based analysis E3S Web of Conferences |
| title | Prediction and optimization of tourists’ spatial-temporal behavior during peak period in scenic spots: a simulation-based analysis |
| title_full | Prediction and optimization of tourists’ spatial-temporal behavior during peak period in scenic spots: a simulation-based analysis |
| title_fullStr | Prediction and optimization of tourists’ spatial-temporal behavior during peak period in scenic spots: a simulation-based analysis |
| title_full_unstemmed | Prediction and optimization of tourists’ spatial-temporal behavior during peak period in scenic spots: a simulation-based analysis |
| title_short | Prediction and optimization of tourists’ spatial-temporal behavior during peak period in scenic spots: a simulation-based analysis |
| title_sort | prediction and optimization of tourists spatial temporal behavior during peak period in scenic spots a simulation based analysis |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/27/e3sconf_vesep2022_01086.pdf |
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