Understanding an Urban Park through Big Data

Sim, Jisoo; Miller, Patrick

doi:10.3390/ijerph16203816

Cited by 35 publications

(33 citation statements)

References 71 publications

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“…The mixed-use type of elevated park is located in a mid-density city, is designed for daily activities, and functions like a greenway. The green type protects nature and minimizes interventions, connects between communities, and functions as a trail [34]. Identifying the differences between types allow us to figure out implications for making a new elevated park and managing existing elevated parks to provide ecosystem services for visitors.…”

Section: Elevated Parkmentioning

confidence: 99%

What Park Visitors Survey Tells Us: Comparing Three Elevated Parks—The High Line, 606, and High Bridge

2019

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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.

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Section: Elevated Parkmentioning

confidence: 99%

What Park Visitors Survey Tells Us: Comparing Three Elevated Parks—The High Line, 606, and High Bridge

2019

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“…Sosial media dapat menghasilkan data dalam jumlah besar, contohnya platform Twitter yang menghasilkan lebih kurang 473.400 cuitan per menit di seluruh dunia (Sim & Miller, 2019). Sebagai informasi, peneliti sosial sudah menggunakan sosial media dalam penelitiannya, peneliti lingkungan masih sedikit yang menggunakan big data dalam analisisnya.…”

Section: Pendahuluanunclassified

“…Kategori tersebut dihitung untuk mengidentifikasi alasan sentimen dari pengunjung. Sentimen tersebut dapat menampilkan opini, sentimen, emosi dan tingkah laku (Sim & Miller, 2019)…”

Section: Analisis Data Sosial Mediaunclassified

“…Hasil ini sesuai dengan penelitian (Barca et al, 2020) bahwa analisis ROC naïve bayes akan akurat pada 80-90%. Menurut (Sim & Miller, 2019) sebagian besar analisis sosial media yang berhubungan dengan taman kota akan menghasilkan sentimen positif, hal yang sama juga berlaku dalam penelitian ini. Besaran sentimen positif sebelum maupun saat pandemi lebih tinggi 5.6 kali untuk analisis Twitter jika dibandingkan dengan sentimen negatif.…”

Section: Hasil Analisis Sosial Mediaunclassified

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Preferensi Kenyamanan Pengunjung di Kebun Raya Bogor selama Adaptasi Kebiasaan Baru Berbasis Big Data

Paramitadevi¹,

Jannah²,

Mindara³

2021

arsi

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Urban communities need urban forests in improving the quality of mental and physical health during the New Normal. If ecotourism or urban forest is a top priority in implementing the New Normal, managers must determine designs, and make procedures related to the applicable COVID-19 protocol. The research objective was to measure the comfort level of visitors before and during the pandemic using big data, then compile comfort design recommendations according to visitor preferences during the pandemic based on survey methods. Social media Twitter and Google Map Review mentioning the Bogor Botanical Garden were collected a year before and six months during the pandemic. Analysis of text mining is carried out in order to obtain sentiment and initial perceptions about the Bogor Botanical Garden. Initial perceptions of visitors were used to construct the survey questionnaire. Furthermore, quantitative survey methods were used to analyze visitor activity and comfort. Visitor comfort is limited to abiotic factors, namely accessibility, and facilities. Sentiment analysis shows pre-pandemic conditions had 48.26% more positive word frequency than during the pandemic for Twitter, but 23.29% less than during the pandemic for Google Map Review. Twitter are more sensitive to the current situation than Google Map Review. Positive perceptions of comfort include compliance management of KRB under the COVID-19 protocol (11.7%), better management (10.8%), well-maintained facilities and infrastructure (7.2%), and maintained hygiene (7.2%). Comfort design recommendations based on respondents' preferences for comfort (14.4%) include increasing the number of toilets, the number of rest areas, ramps for the elderly, areas and attractions to attract children, parks with new themes, and sustainability elements.

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“…Maddox (2016) claimed that it is a strength of linear parks in terms of catchment area (Maddox, 2016). In addition, if a railroad is replaced with a linear park, the park can be expected to connect places as the railroad did (Sim and Miller, 2019). But though theoretical reviews claim connectivity is a benefit of linear parks, in reality linear parks are rarely used for shortcuts or walkable routes to destinations.…”

Section: Connectivitymentioning

confidence: 99%

Using Big Data and Small Data to Understand Linear Parks - Focused on the 606 Trail, USA and Gyeongchun Line Forest, Korea-

Sim¹,

Oh²

2020

J Korean Inst Landsc Archit

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This study selects two linear parks representing each culture and reveals the differences between them using a visitor survey as small data and social media analytics as big data based on the three components of the model of landscape perception. The 606 in Chicago, U.S., and the Gyeongchun Line in Seoul, Korea, are representative parks built on railroads. A total of 505 surveys were collected from these parks. The responses were analyzed using descriptive statistics, principal component analysis, and linear regression. Also, more than 20,000 tweets which mentioned two linear parks respectively were collected. By using those tweets, the authors conducted the clustering analysis and draw the bigram network diagram for identifying and comparing the placeness of each park. The result suggests that more diverse design concept links to less diversity in behavior; that half of the park users use the park as a shortcut; and that same physical exercise provides different benefits depending on the park. Social media analysis showed the 606 is more closely related to the neighborhoods rather than the Gyeongchun Line Forest. The Gyeongchun Line Forest was a more event-related place than the 606.

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Understanding an Urban Park through Big Data

Cited by 35 publications

References 71 publications

What Park Visitors Survey Tells Us: Comparing Three Elevated Parks—The High Line, 606, and High Bridge

What Park Visitors Survey Tells Us: Comparing Three Elevated Parks—The High Line, 606, and High Bridge

Preferensi Kenyamanan Pengunjung di Kebun Raya Bogor selama Adaptasi Kebiasaan Baru Berbasis Big Data

Using Big Data and Small Data to Understand Linear Parks - Focused on the 606 Trail, USA and Gyeongchun Line Forest, Korea-

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