Flowers as attractions in urban parks: Evidence from social media data

Mou, Naixia; Wang, Jinhua; Zheng, Yunhao; Zhang, Lingxian; Makkonen, Teemu; Yang, Tengfei; Niu, Jiqiang

doi:10.1016/j.ufug.2023.127874

Cited by 6 publications

(5 citation statements)

References 59 publications

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“…The recommended reason is text related to the route illustrates the main reason for the user's recommendation, and text analysis [44,45] can help identify the joggers' preferences.…”

Section: Text Analysismentioning

confidence: 99%

Comparing Differences in Jogging Support across Various Land Use Types in Urban Built-Up Areas Using User-Recommended Routes

Tan,

Jiang,

Guo

et al. 2024

Buildings

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Land use types other than specialized athletic fields provide a variety of jogging environments, addressing the shortage of urban fitness facilities and promoting urban health as well as sustainability. Currently, there is limited research comparing the differences in jogging support among various land use types, which can assist decision-makers in setting priorities and targeted strategies for urban renewal, especially in urban built-up areas with limited land resources. Initially, spatial information, statistical data, and recommendation reason text were extracted from recommended routes in mobile fitness apps and categorized into six land use types. Subsequently, spatial potential was measured through descriptive statistics, buffer area analysis, spatial autocorrelation analysis, and line density analysis. Environmental preferences were gauged by text analysis using jieba word segmentation and grouped word frequency calculation. Finally, the measurement results of different land uses were compared, including scale differences, spatial differentiation, environmental perception, and environmental elements. The research found that streets, residential areas, campuses, parks, and greenways possess significant potential to support jogging, particularly streets. These types of land use exhibit varying spatial potentials and attractions in environmental preferences. Targeted recommendations have been proposed to support the renewal of urban built-up areas and research in related fields.

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“…The recommended reason is text related to the route illustrates the main reason for the user's recommendation, and text analysis [44,45] can help identify the joggers' preferences.…”

Section: Text Analysismentioning

confidence: 99%

Comparing Differences in Jogging Support across Various Land Use Types in Urban Built-Up Areas Using User-Recommended Routes

Tan,

Jiang,

Guo

et al. 2024

Buildings

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“…A canopy shape has a more significant aesthetic impact on the physical characteristics of street trees than common indicators of greening volume [33]. At the species level, ornamental plants (flowers and ornamental trees) are more aesthetically pleasing [86,87]. In addition, landscape naturalness involving the degree of artificial modification [88,89] and seasonal change indicators in the dimension of temporal dynamics [85] likewise affect the quality of individual visual aesthetics.…”

Section: The Correlation Between Landscape Vegetation and Perceived V...mentioning

confidence: 99%

Correlation between Vegetation Landscape and Subjective Human Perception: A Systematic Review

Xie,

Jiang,

Wang

et al. 2024

Buildings

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Environmental perception is a key indicator for evaluating green space preference and satisfaction. The shift in urban green space research towards emphasizing human benefits over functionality has caused a gradual increase in the number of articles on green space perception in recent years. Studying the relationship between the vegetation landscape (a fundamental aspect of urban green spaces) and subjective perceptual dimensions have become a pivotal research topic. This paper delves into the correlations and influencing relationships between these two dimensions with the main focus being on vegetation landscape indicators and subjective perception. The perceived green benefits were categorized into four main groups in the 80 articles reviewed: perceived safety, visual aesthetics, restoration benefits, and preferences. In this study, green indicators were also defined and categorized. The results indicated that the guiding indicators had a higher frequency and that species diversity improved the perceived benefits in all aspects. Among the control indicators, plant color, plant height, and the vegetation composition structure received the most attention. Plant color accounted for the largest proportion of studies on perceived visual aesthetics. Vegetation characteristics related to perceived safety had a shared trait, and there was a lack of correlation studies between safety and aesthetics in perceptual dimensions. In the common methods for assessing human perception, a shift from subjective measurements to mixed measurements using emerging technologies is underway. As a pioneering scope review of how vegetation landscapes influence subjective human perceptions, this study has not only provided evidence of the perceived benefits of urban green spaces but also offers valuable insights and tools for future research and policymaking.

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“…However, the existing park management assessment methodologies generally have some major limitations. User surveys can only collect information from those completing the questionnaire, and therefore may not provide a full picture of park use and environmental quality, and are also time- and labor-intensive 7 . On-site observation allows direct observation of the conditions of park facilities and environment; however, it heavily relies on subjective perceptions and may generate biased assessment results.…”

Section: Introductionmentioning

confidence: 99%

“…With the proliferation of social media and smart devices, new data sources are emerging and the use of social media data for park research has become an effective and practical approach 7 . Data such as photos, comments, and check-ins posted by users on social media platforms can provide a comprehensive picture of users' perceptions, evaluations, use, and needs of parks 13 .…”

Section: Introductionmentioning

confidence: 99%

“…Some studies have also explored the impact of parks on visitors' mental health, as well as other aspects such as park landscape design, spatial use, and cultural values 17 – 20 . For example, Mou et al 7 used social media data to analyze the behavior of visitors to urban parks in Beijing and explored the relationship between flowers and park visits. Plunz et al 21 used social media data to explore the relationship between urban green spaces and resident well-being.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A new framework for assessment of park management in smart cities: a study based on social media data and deep learning

Liu,

Tan,

Deng

et al. 2024

Sci Rep

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Urban park management assessment is critical to park operation and service quality. Traditional assessment methods cannot comprehensively assess park use and environmental conditions. Besides, although social media and big data have shown significant advantages in understanding public behavior or preference and park features or values, there has been little relevant research on park management assessment. This study proposes a deep learning-based framework for assessing urban park intelligent management from macro to micro levels with comment data from social media. By taking seven parks in Wuhan City as the objects, this study quantitatively assesses their overall state and performance in facilities, safety, environment, activities, and services, and reveals their main problems in management. The results demonstrate the impacts of various factors, including park type, season, and specific events such as remodeling and refurbishment, on visitor satisfaction and the characteristics of individual parks and their management. Compared with traditional methods, this framework enables real-time intelligent assessment of park management, which can accurately reflect park use and visitor feedback, and improve park service quality and management efficiency. Overall, this study provides important reference for intelligent park management assessment based on big data and artificial intelligence, which can facilitate the future development of smart cities.

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Flowers as attractions in urban parks: Evidence from social media data

Cited by 6 publications

References 59 publications

Comparing Differences in Jogging Support across Various Land Use Types in Urban Built-Up Areas Using User-Recommended Routes

Comparing Differences in Jogging Support across Various Land Use Types in Urban Built-Up Areas Using User-Recommended Routes

Correlation between Vegetation Landscape and Subjective Human Perception: A Systematic Review

A new framework for assessment of park management in smart cities: a study based on social media data and deep learning

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