This study aims to investigate how different Twitter features can be exploited for understanding people's behavior in using parks of London. We use Twitter as a source of information for collecting tweets from those who live in London. Unlike many studies that use tweets tagged with geographical coordinates, we use tweets' textual features to find the parks' tweets and the users who visit the parks. We also created a dataset of parks' names using the OpenStreetMap query. With matching tweets text with our park's names' dataset, we ended up with 271 parks mentioned in tweets more than ten times for the whole year of 2020. To evaluate the validity of using the textual features of tweets or spatial and environmental assessment, we assessed the number of parks' visitors and the mean distance that users of each park travel to visit the park. The results indicate that people see a park 2.5-3km away from their neighborhood. In addition, larger parks play more city-scale roles and attract people from more diverse communities. This finding is in accord with the studies that applied tweets coordination, indicating textual application for studying urban affairs is valid.