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Open AccessArticle

Comparing Social Media Data and Survey Data in Assessing the Attractiveness of Beijing Olympic Forest Park

by 1, 1,2, 3, 4 and 5,*
1
College of Architecture and Landscape Architecture, Peking University, Beijing 100871, China
2
Regal Lloyds International Real Estate Consultants CO., LTD. 19thFl. Tower A, Full-link Plaza, 18 Chaoyangmenwai Ave, Beijing 100020, China
3
Institute of Remote Sensing and Geographical Information Systems, Peking University, Beijing 100871, China
4
Innovation Center for Technology, Beijing Tsinghua Tongheng Urban Planning & Design Institute, 2203 West Tower, No. 1 Qinghe Jiayuan, Qinghe Zhongjie, Haidian, Beijing 100085, China
5
Horticulture and Landscape Architecture Department, Oklahoma State University, Stillwater, OK 74078, USA
*
Author to whom correspondence should be addressed.
Sustainability 2018, 10(2), 382; https://doi.org/10.3390/su10020382
Received: 12 December 2017 / Revised: 6 January 2018 / Accepted: 22 January 2018 / Published: 1 February 2018
(This article belongs to the Section Sustainable Urban and Rural Development)
Together with the emerging popularity of big data in numerous studies, increasing theoretical discussions of the challenges and limitations of such data sources exist. However, there is a clear research gap in the empirical comparison studies on different data sources. The goal of this paper is to use “attractiveness” as a medium to examine the similarity and differences of Social media data (SMD) and survey data in academic research, based on a case study of the Beijing Olympic Forest Park, in Beijing, China. SMD was extracted from two social media platforms and two surveys were conducted to assess the attractiveness of various locations and landscape elements. Data collection, keyword extraction and keyword prioritization were used and compared in the data gathering and analysis process. The findings revealed that SMD and survey data share many similarities. Both data sources confirm that natural ambience is more appreciated than cultural elements, particularly the naturalness of the park. Spaces of practical utility are more appreciated than facilities designed to have cultural meanings and iconic significance. Despite perceived similarities, this study concludes that SMD exhibits exaggerated and aggregated bias. This resulted from the intrinsic character of SMD as volunteered and unstructured data selected through an emotional process rather than from a rational synthesis. Exciting events were reported more often than daily experiences. Reflecting upon the strength and weakness of SMD and survey data, this study would recommend a combined landscape assessment process, which first utilizes SMD to build up an assessment framework, then applies conventional surveys for supplementary and detailed information. This would ultimately result in comprehensive understanding. View Full-Text
Keywords: social media data; survey data; research methods; landscape attractiveness; Beijing Olympic Forest Park social media data; survey data; research methods; landscape attractiveness; Beijing Olympic Forest Park
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Wang, Z.; Jin, Y.; Liu, Y.; Li, D.; Zhang, B. Comparing Social Media Data and Survey Data in Assessing the Attractiveness of Beijing Olympic Forest Park. Sustainability 2018, 10, 382.

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