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Интеллектуальная Система Тематического Исследования НАукометрических данных |
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Shrinking Historic Neighborhoods and Authenticity Dilution: An Unspoken Challenge of Historic Chinatowns in the United States through the Case of San Franciscoстатья
- Авторы: Shuyi Xie, Elena Batunova
- Журнал: Sustainability
- Номер: 12
- Год издания: 2020
- Издательство: MDPI
- Местоположение издательства: Basel, Switzerland
- DOI: 10.3390/su12010282
- Аннотация: Despite a rising amount of urban shrinkage research, little attention is paid to the shrinking historic ethnic neighborhoods, where authenticity plays a vital role in maintaining local heritage, identity, and livability. This article concerns the historic Chinatowns in the United States that are largely confronting the evident decline of the ethnic Chinese population and authenticity dilution. Taking San Francisco's historic Chinatown as a case study, the research portrays an alternative face of urban shrinkage at the neighborhood level with a specific integration of authenticity discourse. Through combining quantitative statistical analysis and qualitative research on the basis of interviews, the paper presents how neighborhood shrinkage and authenticity dilution are perceived and characterized. Based on this research, the interactive process of neighborhood shrinkage and authenticity dilution, and their impacts on social sustainability, are revealed. The study also demonstrates the notable necessity and possibility to incorporate the issue of authenticity into the discourse of urban shrinkage, which enables a deepened understanding of the cumulative effects of urban shrinkage on local lives and social sustainability, and establishes a more comprehensive and targeted framework of strategies, particularly for those carrying significant social, cultural, and emotional meaning.
- Добавил в систему: Батунова Елена Юрьевна
Прикрепленные файлы
| № | Имя | Описание | Имя файла | Размер | Добавлен |
|---|---|---|---|---|---|
| 1. | Sustainability-12-00282_published.pdf | Sustainability-12-00282_published.pdf | 2,3 МБ | 30 декабря 2019 [Elena_Batunova] |