Integration of User Generated Geo-contents and Official Data to Assess Quality of Life in Intra-national Level
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Integration of User Generated Geo‑contents and Official Data to Assess Quality of Life in Intra‑national Level Ghasem Javadi1 · Mohammad Taleai1 Accepted: 6 July 2020 © Springer Nature B.V. 2020
Abstract Gaining knowledge about the condition of quality of life (QoL) in different geographical regions has always been one of the concerns of the decision-makers. Dynamic and multi-dimensional characteristics of QoL ask for new data sources to update the relevant indicators and novel methods for QoL assessment. This research presents a comprehensive framework for assessing QoL in intra-national level. To address current challenges, the focus has been on integrating subjective and objective criteria, using the geotagged Tweets as user-generated geo-contents (UGGCs) to extract some subjective criteria, and utilizing a multi-criteria decision-making framework based on the cumulative belief degree (CBD) method to integrate and provide the final output. The proposed framework is implemented to assess the QoL in the provinces of Iran as the case study. Based on the obtained results, Tehran has a better QoL status, while Sistan-and-Balouchestan and Kermanshah have rather unsuitable conditions compared to other provinces. Results show the potential of the UGGCs to cover the dynamic characteristics of QoL and to complement the official data. Also, the functional capabilities of the CBD method in integrating heterogeneous criteria, handling uncertainty, and suitably providing the final results of QoL assessment in different scenarios allow authorities to get a more comprehensive, realistic view on QoL issues. The proposed method of this research is a step toward an integrated assessment of QoL using the data shared by people in the location-based social networks which could be regarded as a novel and useful tool for administrators in the field of QoL. Keywords Quality of life · Well-being · Multi-criteria decision analysis · Location-based social networks · Geospatial analysis · Geoinformatics
* Mohammad Taleai [email protected] https://ir.linkedin.com/in/mohammad-taleai-68841037 https://www.researchgate.net/profile/Mohammad_Taleai
Ghasem Javadi [email protected]; [email protected]
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GIS Department, Faculty of Geomatics, K. N. Toosi University of Technology, No. 1346, ValiAsr Street, Mirdamad Cross, Tehran 15433‑19967, Iran
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G. Javadi, M. Taleai
1 Introduction and Background There has always been considerable interest in accessing more suitable areas having fair facilities, infrastructures, security and accessibilities. One important element in this regard is to improve the perspective of decision-makers on Quality of Life (QoL) in different geographical areas. To this purpose, in many developed countries, the related planners and decision-makers are trying to show QoL in a faster, more accurate way and in different geographical scales to be able to find solutions to enhance QoL in deprived areas (Martinez et al. 2017; Tesfazghi et al. 2010). The term QoL is discussed in differe
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