Jiajun Xu’s research while affiliated with University of Kuala Lumpur and other places

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Publications (1)


Location of the study area: (A) The location of Wuxi in Jiangsu Province, China. (B) Topographic map of Wuxi, Jiangsu Province. Source: National boundaries as per the Department of Natural Resources of China, background map. For details as per the open-source data available through BIGEMAP, visit http://www.bigemap.com (accessed on 25 July 2023). B1 is the study site, Oudian neighborhood (West); B2 is the study site, Zhenfa neighborhood.
Living environments of Oudian neighborhood (West) in Wuxi, China (Source: the author).
Living environments of Zhenfa neighborhood (West) in Wuxi, China (Source: the author).
The visual representation of the PCA method (Source: adapted from G. Sun et al. (2023) [51]).
The occupants’ satisfaction (Mean) (Source: the author, 2023).

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Post-Occupancy Evaluation of the Improved Old Residential Neighborhood Satisfaction Using Principal Component Analysis: The Case of Wuxi, China
  • Article
  • Full-text available

September 2024

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124 Reads

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1 Citation

Jing Zhao

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Ziyi Cheng

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Recently, many Chinese cities have initiated improvement projects aimed at enhancing living conditions in older residential neighborhoods. Urban improvement should be closely linked to the needs of occupants to determine “what to improve”. Governmental initiatives and the various stakeholders involved in the project influence the impact of improvement efforts. The objectives of the study are essential to identify the factors influencing occupants’ satisfaction and to evaluate whether the occupants are satisfied with the improved old residential neighborhoods. This study conducts a post-occupancy evaluation (POE) of improved outdoor spaces in old residential neighborhoods, focusing on neighborhoods in Wuxi, China. A principal component analysis (PCA) was used to evaluate residents’ efficacy and satisfaction with the enhancements implemented in outdoor spaces. The methodology involved collecting data through surveys and on-site observations, which were then analyzed to identify the pivotal factors impacting the effectiveness of these improvements. The results indicated that enhancing outdoor spaces had a substantial positive impact on residents’ quality of life, social interactions, and physical activity levels. Additionally, the PCA identified accessibility, safety, and aesthetic quality as the main factors contributing to resident satisfaction. This study offers valuable insights for urban planners and policymakers aiming to rejuvenate aging residential districts, emphasizing the importance of data-driven approaches to improve the design and functionality of outdoor spaces.

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