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.

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.

Using the City of Roanoke, Virginia as a study site, this paper quantifies the forest structure, ecosystem services and values of vacant and residential land. Single family residential land had more trees (1,683,000) than vacant land (210,000) due largely to the differences in land area (32.44 km² of vacant land vs. 57.94 km² residential). While the percentage of tree coverage was almost identical across land uses (30.6% in vacant to 32.3% in residential), the number of trees per ha is greater on residential land (290.3) than on vacant land (63.4). The average healthy leaf surface area on individual trees growing on vacant land was greater than that of individual trees on residential land. The fact that trees in vacant land were found to provide more ecosystem services per tree than residential trees was attributed to this leaf area difference. Trees on vacant land are growing in more natural conditions and there are more large trees per ha. Assessing the forest structure and ecosystem services of Roanoke’s vacant and residential land provides a picture of the current extent and condition of the vacant and residential land. Understanding these characteristics provides the information needed for improved management and utilization of urban vacant land and estimating green infrastructure value.

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.

Although community gardens provide numerous economic, environmental, and social benefits, some have been lost to other land uses due to the lack of organized and effective public support. Knowledge about people’s attitudes and perceptions towards these landscapes is important to achieve greater public support. This study used a scene rating survey to investigate attitudes and perceptions of four different groups (community gardeners, community and home gardeners, home gardeners, and non-gardeners) in Roanoke, Virginia. Content analysis, factor analysis, descriptive statistics, customized Kruskal- Wallis test (ANOVA) and content identifying method (CIM) procedures were used. All statistical analyses were completed at a 95% significance level using SPSS version 21. Results showed that there are seven dimensions important to participants’ preferences in community gardens including “Gathering and Seating”, “Plots with Boundaries”, “Focal Points”, “Plots without Boundaries”, Garden Entrance”, Untidy Space”, and “Composting Structures”. Excluding the “Gathering and Seating” dimension, a significant difference was detected between participant groups. Based on these dimensions, this study provides design recommendations for community garden projects to minimize possible opposition between gardeners and non-gardeners and to develop more successful community garden programs for the long-term survival of these landscapes in cities.