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Browsing by Author "Sim, Jisoo"

Now showing 1 - 6 of 6
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    Data-Driven Park Planning: Comparative Study of Survey with Social Media Data
    Sim, Jisoo (Virginia Tech, 2020-05-05)
    The purpose of this study was (1) to identify visitors’ behaviors in and perceptions of linear parks, (2) to identify social media users’ behaviors in and perceptions of linear parks, and (3) to compare small data with big data. This chapter discusses the main findings and their implications for practitioners such as landscape architects and urban planners. It has three sections. The first addresses the main findings in the order of the research questions at the center of the study. The second describes implications and recommendations for practitioners. The final section discusses the limitations of the study and suggests directions for future work. This study compares two methods of data collection, focused on activities and benefits. The survey asked respondents to check all the activities they did in the park. Social media users’ activities were detected by term frequency in social media data. Both results ordered the activities similarly. For example social interaction and art viewing were most popular on the High Line, then the 606, then the High Bridge according to both methods. Both methods also reported that High Line visitors engaged in viewing from overlooks the most. As for benefits, according to both methods vistors to the 606 were more satisfied than High Line visitors with the parks’ social and natural benefits. These results suggest social media analytics can replace surveys when the textual information is sufficient for analysis. Social media analytics also differ from surveys in accuracy of results. For example, social media revealed that 606 users were interested in events and worried about housing prices and crimes, but the pre-designed survey could not capture those facts. Social media analytics can also catch hidden and more general information: through cluster analysis, we found possible reasons for the High Line’s success in the arts and in the New York City itself. These results involve general information that would be hard to identify through a survey. On the other hand, surveys provide specific information and can describe visitors’ demographics, motivations, travel information, and specific benefits. For example, 606 users tend to be young, high-income, well educated, white, and female. These data cannot be collected through social media.
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    Recognition Changes of the Concept of Urban Resilience: Moderating Effects of COVID-19 Pandemic
    Han, Soyoung; Sim, Jisoo; Kwon, Yoonku (MDPI, 2021-10-16)
    Urban resilience, which has emerged as an important concept in cities since sustainability became a 21st-century urban paradigm, reflects the needs of the times to change and bring about a shift in existing national landscape architecture and social policies. To explore the characteristics of recognition of college students majoring in landscape architecture towards the concept of urban resilience before and after the beginning of COVID-19, this study aims to answer three research questions: to analyzes recognitions of landscape architecture majoring students on urban resilience (research question 1); to compare the differences that emerge from before and after the beginning of the COVID-19 pandemic (research question 2); and to explore latent classes according to the education pattern (research question 3). The results of this study are as follows: First, before the beginning of COVID-19, four latent classes were drawn up in relation to awareness of the concept of urban resilience, while three latent classes were examined after the start of the pandemic. Before the beginning of COVID-19, students of landscape architecture accepted the concept of urban resilience as a physical and environmental approach to overcome risk factors by creating landscape architecture and infrastructure or applying the concept of resilience in urban development and redevelopment. However, after the beginning of COVID-19, they mostly have been recognized urban resilience as a concept related to technological ability. Thirdly, the grades and educational experiences of the students were found to have a significant effect on the probability of their belonging to a specific latent class.
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    Scenic Assessment Methodology for Preserving Scenic Viewsheds of Virginia, USA
    Miller, Patrick A.; Sim, Jisoo; Powell, Leighton; Crump, Lynn (MDPI, 2024-07-08)
    The non-profit organization Scenic Virginia is dedicated to identifying and showcasing the state’s scenic landscapes. Recently, the state incorporated a “scenic” element into its new Conserve Virginia land conservation strategy. Consequently, there is a need for a standardized assessment tool that both citizens and professionals can use to identify and evaluate the scenic value of publicly accessible viewsheds in Virginia. This paper outlines the rationale behind developing a scientifically robust protocol, which is based on an extensive literature review and photographs from Scenic Virginia’s annual photo contest. The protocol serves as a scenic assessment tool designed to encourage local citizen participation in identifying significant scenic resources in Virginia. Local communities will utilize this new tool to help them identify and evaluate their scenic assets. The protocol was reviewed by a panel of experts, and its implementation is currently underway.
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    Tweeting the High Line Life: A Social Media Lens on Urban Green Spaces
    Sim, Jisoo; Miller, Patrick; Swarup, Samarth (MDPI, 2020-10-27)
    The objective of this study is to investigate elevated parks as urban green spaces using social media data analytics. Two popular elevated parks, the High Line Park in New York and the 606 in Chicago, were selected as the study sites. Tweets mentioning the two parks were collected from 2015 to 2019. By using text mining, social media users’ sentiments and conveyed perceptions about the elevated parks were studied. In addition, users’ activities and their satisfaction were analyzed. For the 606, users mainly enjoyed the free events at the park and worried about possible increases in housing prices and taxes because of the 606. They tended to participate in physical activities such as biking and walking. Although the 606 provides scenic observation points, users did not seem to enjoy these. Regarding the High Line, users frequently mentioned New York City, which is an important aspect of the identity of the park. The High Line users also frequently mentioned arts and relaxation. Overall, this study supports the idea that social media analytics can be used to gain an understanding of the public’s use of urban green spaces and their attitudes and concerns.
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    Understanding an Urban Park through Big Data
    Sim, Jisoo; Miller, Patrick A. (MDPI, 2019-10-10)
    To meet the needs of park users, planners and designers must know what park users want to do and how they want the park to offer different activities. Big data may help planners and designers gain this knowledge. This study examines how big data collected in an urban park could be used to identify meaningful implications for planning and design. While big data have emerged as a new data source, big data have not become an accepted source of data due to a lack of understanding of big data analytics. By comparing a survey as a traditional data source with big data, this study identifies the strengths and weaknesses of using big data analytics in park planning and design. There are two research questions: (1) what activities do park users want; and (2) how satisfied are users with different activities. The Gyeongui Line Forest Park, which was built on an abandoned railway, was selected as the study site. A total of 177 responses were collected through the onsite survey, and 3703 tweets mentioning the park were collected from Twitter. Results from the survey show that ordinary activities such as walking and taking a rest in the park were the most common. These findings also support existing studies. The results from social media analytics found notable things such as positive tweets about how the railway was turned into a park, and negative tweets about diseases that may occur in the park. Therefore, a survey as traditional data and social media analytics as big data can be complementary methods for the design and planning process.
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    What Park Visitors Survey Tells Us: Comparing Three Elevated Parks—The High Line, 606, and High Bridge
    Sim, Jisoo; Bohannon, C. L.; Miller, Patrick (MDPI, 2019-12-22)
    Many cities have replaced abandoned transportation infrastructure with an elevated park to gain increased economic benefits by developing old fabric. By following this trend, most studies to this point have only focused on the economic rewards from the replacement rather than its uses in the real world. This study aims to understand how park visitors use elevated parks through a park visitors’ survey. The authors selected three representative elevated parks—the High Line in New York City, the 606 in Chicago, and the High Bridge in Farmville—for the study and asked visitors about their activities, perceived benefits, and satisfaction. Results indicate that the 606, a mixed-use elevated park, allows visitors to engage in high-intensity activity, the High Line as an elevated urban park provides visitors public arts and gardens, and the High Bridge as an elevated green park provided visitors with a connection to unique natural scenery. This study, as the first to compare three different elevated parks, contributes to an understanding of who uses elevated parks and how they use elevated parks.