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Urban Geography Volume 45, 2024 - Issue 2
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Research Articles

Urban renewal without gentrification: toward dual goals of neighborhood revitalization and community preservation?

Yushu Zhua Urban Studies Program and School of Public Policy, Simon Fraser University, Vancouver, CanadaCorrespondence[email protected]
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Changdong Yeb College of Forestry and Landscape Architecture, South China Agricultural University, People’s Republic of ChinaView further author information
Pages 201-233 | Received 21 Nov 2021, Accepted 08 Dec 2022, Published online: 22 Dec 2022

Figures & data

Figure 1. Micro-renewal projects by province, 2021.

Chart showing micro-renewal project targets set by provincial governments and project starts in 2021.
Figure 1. Micro-renewal projects by province, 2021.

Figure 2. Conceptual framework.

Diagram showing the conceptual framework of this study. This framework guides the variable selection and data analysis.
Figure 2. Conceptual framework.

Table 1. The goals and scope of micro-renewal.

Table 2. Case study neighborhoods for survey and interview fieldwork.

Figure 3. Images of two case study neighborhoods (Taken by author in 2021). a: Tancun (redevelopment). b: Yinggang (micro-renewal).

(a) Photo of the center garden in Tancun, with two newly built high-rise buildings in the background. (b) Photo of an old and dilapidated neighborhood, Yinggang, that had undergone micro-renewal.
Figure 3. Images of two case study neighborhoods (Taken by author in 2021). a: Tancun (redevelopment). b: Yinggang (micro-renewal).

Table 3. Profiles of survey respondents by neighborhood.

Table 4. Key variables in survey data analysis.

Figure 4. (a) Specifications of path analysis Model 1 (Step 1). (b) Specifications of path analysis Model 2 (Step 2).

(a) This diagram specifies the variables and hypothesized pathways for Model 1 to compare NA change between the two modes of UR. (b) This diagram specifies the variables and hypothesized pathways for Model 2. We replaced micro.renewal in Model 1 with resettlement and compensation variables to further decipher the effects of different aspects of renewal.
Figure 4. (a) Specifications of path analysis Model 1 (Step 1). (b) Specifications of path analysis Model 2 (Step 2).

Table 5. Mean change in neighborhood attachment by key variables.

Figure 5. Path analysis result (Model 1), standardized effects.

Notes: ap<0.1; * p<0.05; ** p< 0.01; *** p< 0.001.

Diagram showing standardized coefficients of variables based on path analysis of Model 1. Effects of socio-demographic variables are presented in Table 6.
Figure 5. Path analysis result (Model 1), standardized effects.Notes: ap<0.1; * p<0.05; ** p< 0.01; *** p< 0.001.

Table 6. Unstandardized effects (Model 1).

Table 6. Continued

Figure 6. Path analysis model result (Model 2), standardized effects.

Notes: ap<0.1; * p<0.05; ** p< 0.01; *** p< 0.001.

Diagram showing standardized coefficients of variables based on path analysis of Model 2. Effects of socio-demographic variables are presented in Table 7.
Figure 6. Path analysis model result (Model 2), standardized effects.Notes: ap<0.1; * p<0.05; ** p< 0.01; *** p< 0.001.

Table 7. Unstandardized effects (Model 2).

Table 7. Contined

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