People’s preferences and perceptions toward low-input versus conventional park design approaches using 3D images and interview-based questionnaires

Kazemi, Fatemeh; Hosseinpour, Nazanin; Ebrahimian, Mahsa

doi:10.1016/j.ufug.2023.128040

Cited by 5 publications

(3 citation statements)

References 54 publications

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“…Another novelty of this study is that it demonstrates the possibility of using social media data [50] to analyze college students' emotions. The use of Weibo big data and natural language processing technology to assess the emotional status of college students innovates the method of obtaining college students' emotions and avoids the drawbacks of traditional methods such as questionnaires and interviews [51,52], which are costly and time-consuming and rely on small sample sizes. With the fixation of Sina Weibo in the campus area on the use of groups and the scope of use, the data are more authentic and universal and have significant advantages, such as a large amount of information, wide coverage, and convenient access.…”

Section: Research Innovationsmentioning

confidence: 99%

Using Social Media Data to Research the Impact of Campus Green Spaces on Students’ Emotions: A Case Study of Nanjing Campuses

Wang,

Meng,

Zhao

et al. 2024

Sustainability

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Campus green space, as a component of urban green space and the main natural place for college students’ daily contact, has a subliminal effect on their mental health. This study aims to investigate the degree of influence of campus green space on college students’ emotions as well as the main indicators of influence and other scientific issues. Taking the campus green spaces of 44 college campuses in Nanjing as the object of the study, with the help of social media data to research the issue of green spaces and emotional preference, we conducted a difference analysis, constructed an individual-time, double fixed-effects regression model and obtained the corresponding results: (1) significant seasonal and individual differences existed in all green space indicators across the 44 campuses; (2) a significant positive correlation existed between each of the campus green space indicators and college students’ positive emotions; (3) compared with the regression results of the data prior to the New Crown Pneumonia Outbreak (COVID-19), college students’ green sensitivity increased substantially during the outbreak control period, and the health benefits of the campus green spaces were more significant.

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Section: Research Innovationsmentioning

confidence: 99%

Using Social Media Data to Research the Impact of Campus Green Spaces on Students’ Emotions: A Case Study of Nanjing Campuses

Wang,

Meng,

Zhao

et al. 2024

Sustainability

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“…The findings of the causal analysis further demonstrate the largest effects on farmer's resistance to water shortages of three variables: 'place connection,' 'environmental attitudes,' and 'environmental belief.' Understanding people's preferences and perspectives on urban landscape design scenarios, especially innovative sustainable development methods, will have a significant impact on future urban planning and public satisfaction [25].…”

Section: Literature Reviewmentioning

confidence: 99%

Urban Green Space Planning and Design Based on Big Data Analysis and BDA-UGSPD Model

2024

Teh. vjesn.

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Green cities are described as the environmental influences by expanding recycling, decreasing waste, increasing housing density, lowering emissions while intensifying open space, and boosting sustainable local businesses. Green infrastructures (GI) are progressively related to urban water management for long-term transitions and immediate solutions towards sustainability. Urban green spaces (UGS) play a vital role in conserving urban environment sustainability by giving various ecology services. In this study, big data analytics-based urban green space planning design (BDA-UGSPD) has been introduced. Luohe city and the Shali River area have been chosen as the study area owing to the high number and a considerable assortment of UGS. Monitoring has been conducted in the Shali river to evaluate water quality for irrigation for agriculture. The Master Plan Scenario had a compact green space system, and the urban land use layout has been categorized by systematization and networking, and it did not consider the service capacity of green spaces. The Planning Guidance Scenario initialized constraint states, which provide more rigorous and effective urban spaces. It enhanced the service functions of the green space model layout. The simulation findings illustrate that the proposed BDA-UGSPD model enhances the land-use classification accuracy ratio by 92.0%, probability ratio by 90.6%, decision-making ratio by 95.0%, climate change adaptation ratio by 94.5%, water quality assessment ratio by 95.9%, and reduces the root mean square error ratio by 9.7% compared to other popular approaches.

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“…This approach tends to favor ornamental and non-native plant species for their visual appeal, even though they may not be adapted to the local environment and therefore cannot provide important ecosystem services or support local wildlife. Conventional solutions are usually very water- and chemical-intensive and focus on maintaining a manicured appearance [ 10 , 11 ]. However, such practices can lead to problems such as excessive water consumption, soil degradation and the decline of native biodiversity.…”

Section: Introductionmentioning

confidence: 99%

Does the Use of Perennials in Flower Beds Necessarily Imply Sustainability?

Poje,

Židovec,

Prebeg

et al. 2023

Plants

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Green spaces are becoming increasingly important for cities due to the growing pressures of urbanization and climate change. Along with trees, shrubs, and lawns, flower beds are an important part of urban green spaces. The majority of flower beds in public spaces consist of annual and biennial flower species. Such seasonal flower beds feature eye-catching colors but require significant effort to maintain and manage. Compared to these conventional flower beds, those with herbaceous perennials are more ecologically effective and less costly to maintain, and therefore more sustainable. The aim of this research was to analyze flower beds with perennials in the public green spaces of the city of Zagreb and to develop a tool based on predefined criteria and indicators to evaluate the sustainability of flower beds. In the context of the research, sustainability meant appropriate selection of flower species based on environmental conditions (temperature, light, precipitation), species diversity, greater ground cover and extensiveness of maintenance. The research results showed that there were 327 flower beds with perennials planted in the ground. The constructed Flower Bed Sustainability Index (FBSI) showed that the majority of these perennial beds (56.3%) had a conventional character, as only 28.1% of the beds had a completely correct species selection. This result indicates that the use of perennials does not necessarily guarantee the sustainability of flower beds, since, as in the case of flower beds with seasonal flowers, it depends, among other things, on the correct selection of species adapted to local environmental conditions. The FBSI is shown to be a suitable tool for assessing the degree of sustainability of a flower bed and could be a useful tool in landscape design and management of such types of green spaces.

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People’s preferences and perceptions toward low-input versus conventional park design approaches using 3D images and interview-based questionnaires

Cited by 5 publications

References 54 publications

Using Social Media Data to Research the Impact of Campus Green Spaces on Students’ Emotions: A Case Study of Nanjing Campuses

Using Social Media Data to Research the Impact of Campus Green Spaces on Students’ Emotions: A Case Study of Nanjing Campuses

Urban Green Space Planning and Design Based on Big Data Analysis and BDA-UGSPD Model

Does the Use of Perennials in Flower Beds Necessarily Imply Sustainability?

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