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Article

Spatial and Temporal Characteristics of Urban Tourism Travel by Taxi—A Case Study of Shenzhen

by 1, 1,2,3,*, 1, 4, 5, 5 and 5,6
1
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
2
Big Data and Pervasive GIS Group, State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
3
University of Chinese Academy of Sciences, Beijing 100049, China
4
Shandong Zhengyuan Geophysical Information Technology CO., LTD, Jinan 250101, China
5
Shenzhen Urban Public Safety and Technology Institute, Shenzhen 518000, China
6
Shenzhen Urban Transport Planning Center CO., LTD, Shenzhen 518063, China
*
Author to whom correspondence should be addressed.
Academic Editors: Géraldine Del Mondo, Peng Peng, Feng Lu, Jérôme Gensel and Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2021, 10(7), 445; https://doi.org/10.3390/ijgi10070445
Received: 28 April 2021 / Revised: 21 June 2021 / Accepted: 24 June 2021 / Published: 30 June 2021
(This article belongs to the Special Issue Spatio-Temporal Models and Geo-Technologies)
Tourism networks are an important research part of tourism geography. Despite the significance of transportation in shaping tourism networks, current studies have mainly focused on the “daily behavior” of urban travel at the expense of tourism travel, which has been regarded as an “exceptional behavior”. To fill this gap, this study proposes a framework for exploring the spatial and temporal characteristics of urban tourism travel by taxi. We chose Shenzhen, a densely populated mega-city in China with abundant tourism resources, as a case study. First, we extracted tourist trips from taxi trajectories and used kernel density estimation to analyze the spatial aggregation characteristics of tourist trip origins. Second, we investigated the spatial dependence of tourist trips using local spatial autocorrelation analysis (Getis-Ord Gi*). Third, we explored the correlations between the tourist trip origins and urban geographic contextual factors (e.g., catering services and transportation facilities) using a geographically weighted regression model. The results show the following: (1) the trends between the coverage of tourist travel networks and the volume of tourist trips are similar; (2) the spatial interaction intensity of urban tourism has grouping and hierarchical characteristics; and (3) the spatial distribution of tourist trips by taxi is uneven and influenced by the distribution of urban morphology, tourism resources, and the preferences of taxi pick-up passengers. Our proposed framework and revealed spatial and temporal patterns have implications for urban tourism traffic planning, tourism product development, and tourist flow control in tourist attractions. View Full-Text
Keywords: tourist flow; spatial-temporal dynamic; taxi trajectory data; spatial structure; Shenzhen tourist flow; spatial-temporal dynamic; taxi trajectory data; spatial structure; Shenzhen
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MDPI and ACS Style

He, B.; Liu, K.; Xue, Z.; Liu, J.; Yuan, D.; Yin, J.; Wu, G. Spatial and Temporal Characteristics of Urban Tourism Travel by Taxi—A Case Study of Shenzhen. ISPRS Int. J. Geo-Inf. 2021, 10, 445. https://doi.org/10.3390/ijgi10070445

AMA Style

He B, Liu K, Xue Z, Liu J, Yuan D, Yin J, Wu G. Spatial and Temporal Characteristics of Urban Tourism Travel by Taxi—A Case Study of Shenzhen. ISPRS International Journal of Geo-Information. 2021; 10(7):445. https://doi.org/10.3390/ijgi10070445

Chicago/Turabian Style

He, Bing, Kang Liu, Zhe Xue, Jiajun Liu, Diping Yuan, Jiyao Yin, and Guohua Wu. 2021. "Spatial and Temporal Characteristics of Urban Tourism Travel by Taxi—A Case Study of Shenzhen" ISPRS International Journal of Geo-Information 10, no. 7: 445. https://doi.org/10.3390/ijgi10070445

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