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Exploring the Contribution of Social and Economic Status Factors (SES) to the Development of Learning Cities (LC)

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  • Pawinee Iamtrakul

    (Center of Excellence in Urban Mobility Research and Innovation, Faculty of Architecture and Planning, Thammasat University, Paholyothin Street, Pathumthani 12120, Thailand)

  • Sararad Chayphong

    (Center of Excellence in Urban Mobility Research and Innovation, Faculty of Architecture and Planning, Thammasat University, Paholyothin Street, Pathumthani 12120, Thailand)

  • Adrian Yat Wai Lo

    (Center of Excellence in Urban Mobility Research and Innovation, Faculty of Architecture and Planning, Thammasat University, Paholyothin Street, Pathumthani 12120, Thailand)

Abstract

Learning cities can help to reinforce the socio-economic well-being of residents in deprived areas contributing to the sustainability of cities and also provide them with learning and working opportunities. Diverse learning providers should be inclusively designed to meet all citizens’ needs, opportunities, and aspirations. Understanding the different social and economic characteristics of a city enables the proposition of appropriate development strategies to truly meet all citizens’ needs. Thus, this study examines the relationship between social and economic status (SES) and the perceptions of the development of learning cities (LC) in peri-urban development. To understand the significance of different social factors affecting the development of a learning city so that appropriate development guidelines and responses to people’s needs in outskirt areas can be recommended, data were collected from 400 participants through questionnaires in Thanyaburi District, Pathum Thani province, Thailand. This study applied nonparametric statistics through the use of the Chi-Square and Kruskal–Wallis H test to explore the differences in the variables of each classification and pairwise, including exploring the correlation between independent and dependent variables. The results revealed that different SES characteristics were significantly associated with different learning-enhancing activities ( p -value < 0.05). The development of a learning city is therefore recommended to respond to the diverse citizens’ needs while contributing to several societal objectives with great potential for sustainable urban development.

Suggested Citation

  • Pawinee Iamtrakul & Sararad Chayphong & Adrian Yat Wai Lo, 2022. "Exploring the Contribution of Social and Economic Status Factors (SES) to the Development of Learning Cities (LC)," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12685-:d:934340
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    1. Lisa Schweitzer & Jiangping Zhou, 2010. "Neighborhood Air Quality, Respiratory Health, and Vulnerable Populations in Compact and Sprawled Regions," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 363-371.
    2. Kate Darby & Christopher Atchison, 2014. "Environmental justice: insights from an interdisciplinary instructional workshop," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 4(4), pages 288-293, December.
    3. Oakes, J. Michael & Rossi, Peter H., 2003. "The measurement of SES in health research: current practice and steps toward a new approach," Social Science & Medicine, Elsevier, vol. 56(4), pages 769-784, February.
    4. Ting Wang & Chien-Liang Lin & Yu-Sheng Su, 2021. "Continuance Intention of University Students and Online Learning during the COVID-19 Pandemic: A Modified Expectation Confirmation Model Perspective," Sustainability, MDPI, vol. 13(8), pages 1-15, April.
    5. Xia Zhao & Mingming Shao & Yu-Sheng Su, 2022. "Effects of Online Learning Support Services on University Students’ Learning Satisfaction under the Impact of COVID-19," Sustainability, MDPI, vol. 14(17), pages 1-17, August.
    6. Allin, S. & Masseria, C. & Mossialos, E., 2009. "Measuring socioeconomic differences in use of health care services by wealth versus by income," American Journal of Public Health, American Public Health Association, vol. 99(10), pages 1849-1855.
    7. Remus Creţan & Thomas O'brien, 2019. "‘Get out of Traian Square!’: Roma Stigmatization as a Mobilizing Tool for the Far Right in Timişoara, Romania," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 43(5), pages 833-847, September.
    8. Omar A. Alismaiel & Javier Cifuentes-Faura & Waleed Mugahed Al-Rahmi, 2022. "Online Learning, Mobile Learning, and Social Media Technologies: An Empirical Study on Constructivism Theory during the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(18), pages 1-15, September.
    9. Glaeser, Edward L. & Kahn, Matthew E. & Rappaport, Jordan, 2008. "Why do the poor live in cities The role of public transportation," Journal of Urban Economics, Elsevier, vol. 63(1), pages 1-24, January.
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    Cited by:

    1. Pawinee Iamtrakul & Sararad Chayphong & Alexander M. Crizzle, 2023. "Impact of Spatial Configuration on Promoting Lifelong Learning Development in Pathum Thani, Thailand," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
    2. Josiana El Hage & Isam Shahrour & Fadi Hage Chehade & Faten Abi Farraj, 2023. "A Comprehensive Assessment of Buildings for Post-Disaster Sustainable Reconstruction: A Case Study of Beirut Port," Sustainability, MDPI, vol. 15(18), pages 1-25, September.
    3. Pawinee Iamtrakul & Sararad Chayphong & Pittipol Kantavat & Yoshitsugu Hayashi & Boonserm Kijsirikul & Yuji Iwahori, 2023. "Exploring the Spatial Effects of Built Environment on Quality of Life Related Transportation by Integrating GIS and Deep Learning Approaches," Sustainability, MDPI, vol. 15(3), pages 1-26, February.
    4. Pawinee Iamtrakul & Sararad Chayphong, 2022. "Exploring the Influencing Factors on Living Alone and Social Isolation among Older Adults in Rural Areas of Thailand," IJERPH, MDPI, vol. 19(21), pages 1-18, November.

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