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Keywords = intra-attraction tourist behaviors

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20 pages, 9520 KiB  
Article
Do Historic Landscape Images Predict Tourists’ Spatio-Temporal Behavior at Heritage Sites? A Case Study of West Lake in Hangzhou, China
by Qiqi Liu, Xiaolan Tang and Ka Li
Land 2022, 11(10), 1643; https://doi.org/10.3390/land11101643 - 23 Sep 2022
Cited by 4 | Viewed by 2850
Abstract
Rich in history and culture, heritage sites often evoke stirring emotions and memories. We analyzed historical poetry using grounded theory and high-frequency word and semantic analysis to construct historic landscape images (HLIs) of the West Lake UNESCO World Heritage Site in Hangzhou, China. [...] Read more.
Rich in history and culture, heritage sites often evoke stirring emotions and memories. We analyzed historical poetry using grounded theory and high-frequency word and semantic analysis to construct historic landscape images (HLIs) of the West Lake UNESCO World Heritage Site in Hangzhou, China. GPS trajectory data were used to identify hot and cold tourist spots and understand the site’s intra-attraction tourist behaviors (IATBs). Finally, we analyzed the HLI–IATB relationship. We found that the tourist distribution was uneven, and different attractions had different visitor behaviors. Our findings should inform future heritage site management—and neighboring cities—about the benefits of using HLIs to predict attraction visitors’ behaviors and leveraging those insights to optimize multiple-attraction sites proportionally. Such projections can provide new perspectives for heritage studies, landscape planning, and tourism image-making. Full article
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15 pages, 2456 KiB  
Article
Investigating Tourists’ Willingness to Walk (WTW) to Attractions within Scenic Areas: A Case Study of Tongli Ancient Town, China
by Yuanyuan Mao, Xiyuan Ren, Ling Yin, Qingying Sun, Ke Song and De Wang
Sustainability 2021, 13(23), 12990; https://doi.org/10.3390/su132312990 - 24 Nov 2021
Cited by 3 | Viewed by 2650
Abstract
This paper aims to quantify tourists’ willingness to walk (WTW) in the intra-destination choice in pedestrian scenic areas. The case study presented is the Tongli Ancient Town (Jiangsu Province, China), which has a significant number of heritage sites, but tourism management has been [...] Read more.
This paper aims to quantify tourists’ willingness to walk (WTW) in the intra-destination choice in pedestrian scenic areas. The case study presented is the Tongli Ancient Town (Jiangsu Province, China), which has a significant number of heritage sites, but tourism management has been weak. The main objective was achieved by surveying sequential destination choices in the site, with a total of 272 interviewed tourists. A Multi-Stop Behavior Model (MBM) was constructed to identify the factors that influence tourists’ intra-destination choice and willingness to walk (WTW). On the whole, the evidence showed that tourists prefer core-area attractions to peripheral attractions. Walking distance is the most important variable in tourists’ attraction choice. Moreover, WTWs of tourist segments showed both similarities and disparities, inspiring more pertinent strategies in line with tourists’ preferences. Policy and management implications are drawn based on the empirical findings and their effects are predicted using Monte Carlo (MC) simulation. Full article
(This article belongs to the Section Tourism, Culture, and Heritage)
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