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Integration of User Generated Geo-contents and Official Data to Assess Quality of Life in Intra-national Level

Author

Listed:
  • Ghasem Javadi

    (K. N. Toosi University of Technology)

  • Mohammad Taleai

    (K. N. Toosi University of Technology)

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.

Suggested Citation

  • Ghasem Javadi & Mohammad Taleai, 2020. "Integration of User Generated Geo-contents and Official Data to Assess Quality of Life in Intra-national Level," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(1), pages 205-235, November.
    • Handle: RePEc:spr:soinre:v:152:y:2020:i:1:d:10.1007_s11205-020-02437-1
    DOI: 10.1007/s11205-020-02437-1
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