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Temporal Characteristics of Waterfronts in Wuhan City and People’s Behavioral Preferences Based on Social Media Data

Author

Listed:
  • Jing Wu

    (School of Urban Design, Wuhan University, Wuhan 430072, China)

  • Xirui Chen

    (School of Urban Design, Wuhan University, Wuhan 430072, China)

  • Shulin Chen

    (School of Urban Design, Wuhan University, Wuhan 430072, China)

Abstract

The appeal and vibrancy of urban waterfronts are catalysts for urban progress and sustainable urban development. This study aims to thoroughly explore the temporal characteristics of waterfront vibrancy and explore people’s behavioral preferences for various types of waterfronts at various times. On the basis of social media data, this study uses the seasonal index analysis method to classify waterfronts. Then, the kernel density estimation was used to analyze the spatial structure of different types of waterfronts. Finally, temporally weighted regression was used to indicate people’s preferences for various types of waterfronts. In general, results show the different temporal characteristics of users in waterfronts at different times and their behavioral preferences for waterfronts as the reasons behind these preface characteristics. First, on weekdays, people tend to visit daily waterfronts close to residences, and people find it convenient to walk after 18:00 and engage in recreational activities dominated by consumption and exercise, which reach a peak at 22:00–24:00. Second, on weekends, people prefer the weekend waterfronts with complete entertainment facilities and cultural themes. The natural seasonal waterfronts with seasonal landscapes attract people in various seasons, such as spring and autumn, whereas the social seasonal waterfront may be more attractive during high seasons, especially in March and June, due to big water events or nearby colleges and universities. Therefore, the government should improve the facilities of various types of waterfronts to satisfy people’s preferences at different times and help in proposing targeted suggestions with reference to future city waterfront planning and space design, contributing to the waterfronts’ vitality improvement, urban features, and promotion of urban sustainable development.

Suggested Citation

  • Jing Wu & Xirui Chen & Shulin Chen, 2019. "Temporal Characteristics of Waterfronts in Wuhan City and People’s Behavioral Preferences Based on Social Media Data," Sustainability, MDPI, vol. 11(22), pages 1-37, November.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:22:p:6308-:d:285500
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    References listed on IDEAS

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    1. Ali Keyvanfar & Arezou Shafaghat & Sapura Mohamad & Mu’azu Mohammed Abdullahi & Hamidah Ahmad & Nurul Hidayah Mohd Derus & Majid Khorami, 2018. "A Sustainable Historic Waterfront Revitalization Decision Support Tool for Attracting Tourists," Sustainability, MDPI, vol. 10(2), pages 1-23, January.
    2. Stella Kostopoulou, 2013. "On the Revitalized Waterfront: Creative Milieu for Creative Tourism," Sustainability, MDPI, vol. 5(11), pages 1-16, October.
    3. Jing Wu & Jingwen Li & Yue Ma, 2019. "Exploring the Relationship between Potential and Actual of Urban Waterfront Spaces in Wuhan Based on Social Networks," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    4. Tianchen Dai & Taozhi Zhuang & Juan Yan & Tong Zhang, 2018. "From Landscape to Mindscape: Spatial Narration of Touristic Amsterdam," Sustainability, MDPI, vol. 10(8), pages 1-20, July.
    5. Rizwan Muhammad & Yaolong Zhao & Fan Liu, 2019. "Spatiotemporal Analysis to Observe Gender Based Check-In Behavior by Using Social Media Big Data: A Case Study of Guangzhou, China," Sustainability, MDPI, vol. 11(10), pages 1-30, May.
    6. Hao Wu & Hongzan Jiao & Yang Yu & Zhigang Li & Zhenghong Peng & Lingbo Liu & Zheng Zeng, 2018. "Influence Factors and Regression Model of Urban Housing Prices Based on Internet Open Access Data," Sustainability, MDPI, vol. 10(5), pages 1-17, May.
    7. Jingjing Yan & Wei Shi & Fei Li, 2018. "Evaluation and Countermeasures of the Implementation of the Lake Protection and Governance System in Wuhan City, Middle China," Sustainability, MDPI, vol. 10(10), pages 1-15, September.
    8. B. W. Silverman, 1982. "Kernel Density Estimation Using the Fast Fourier Transform," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 31(1), pages 93-99, March.
    9. Luigi Fusco Girard & Karima Kourtit & Peter Nijkamp, 2014. "Waterfront Areas as Hotspots of Sustainable and Creative Development of Cities," Sustainability, MDPI, vol. 6(7), pages 1-7, July.
    10. Haichao Yu & Yan Liu & Chengliang Liu & Fei Fan, 2018. "Spatiotemporal Variation and Inequality in China’s Economic Resilience across Cities and Urban Agglomerations," Sustainability, MDPI, vol. 10(12), pages 1-19, December.
    11. Irina Iulia Năstase & Ileana Pătru-Stupariu & Felix Kienast, 2019. "Landscape Preferences and Distance Decay Analysis for Mapping the Recreational Potential of an Urban Area," Sustainability, MDPI, vol. 11(13), pages 1-19, July.
    12. Shaojun Liu & Ling Zhang & Yi Long, 2019. "Urban Vitality Area Identification and Pattern Analysis from the Perspective of Time and Space Fusion," Sustainability, MDPI, vol. 11(15), pages 1-27, July.
    13. Shuhan Shi & G. Mathias Kondolf & Dihua Li, 2018. "Urban River Transformation and the Landscape Garden City Movement in China," Sustainability, MDPI, vol. 10(11), pages 1-20, November.
    14. Lingjun Tang & Yu Lin & Sijia Li & Sheng Li & Jingyi Li & Fu Ren & Chao Wu, 2018. "Exploring the Influence of Urban Form on Urban Vibrancy in Shenzhen Based on Mobile Phone Data," Sustainability, MDPI, vol. 10(12), pages 1-21, December.
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    2. Tingting Su & Kaiping Wang & Shuangshuang Li & Xinyan Wang & Huan Li & Huanru Ding & Yanfei Chen & Chenhui Liu & Min Liu & Yunlu Zhang, 2022. "Analysis and Optimization of Landscape Preference Characteristics of Rural Public Space Based on Eye-Tracking Technology: The Case of Huangshandian Village, China," Sustainability, MDPI, vol. 15(1), pages 1-25, December.
    3. Yuanyuan Ma & Yunzi Yang & Hongzan Jiao, 2021. "Exploring the Impact of Urban Built Environment on Public Emotions Based on Social Media Data: A Case Study of Wuhan," Land, MDPI, vol. 10(9), pages 1-24, September.
    4. Chenghao Yang & Tongtong Liu, 2022. "Social Media Data in Urban Design and Landscape Research: A Comprehensive Literature Review," Land, MDPI, vol. 11(10), pages 1-22, October.

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