Building a Diagnostic Model for the Development Phase of Gentrification in the Original City Centers of the Provinces in Korea
Abstract
:1. Introduction
1.1. The Seriousness of Gentrification and Occurrence Problems in Korea
1.2. Need for a Time-Sequential Diagnostic System
1.3. Scope and Method
2. The Main Research Perspective for Identifying Gentrification: Supply Perspective and Demand Perspective
3. Target Area
3.1. Gunsan Modern Historical Landscape District
3.2. Daegu Bangcheon Market·Kim Gwangseok-Gil Street
3.3. Jeonju Hanok Village
4. Analyzing Gentrification from the Supply-Perspective
4.1. Analysis Method and Concept
4.2. Gentrification Phases in the Original City Centers of the Provinces from the Supply Perspective
5. Analyzing Gentrification from the Demand-Perspective
5.1. Analysis Method and Concept
- Business opening index = the number of stores opening per 10 stores in business
- Business closure index = the number of stores closing per 10 stores in business
5.2. Gentrification Phases in the Original City Centers of the Provinces from the Demand Perspective
6. Establishing the Phases of Gentrification in Original City Centers of the Provinces Overall
6.1. Establishing the Phases and Analyzing the Characteristics
6.2. Gentrification Phase of Each Target Area
- (1)
- The flow of gentrification occurrence at the Gunsan research target site
- (2)
- The flow of gentrification in the Daegu research target site
- (3)
- The flow of gentrification in Jeonju research target site.
6.3. Correlation with Urban Regeneration Projects
7. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Supply Perspective | Demand Perspective | ||||||
---|---|---|---|---|---|---|---|
Researcher | Neil Smith (1979) | Eric Clark (1988) | Daniel Hammel (1999a,b) | David Ley (1980, 1992, 1994) | Chris Hamnett (1991, 1993) | Sharon Zukin (1982, 1987) | Larry Bourne (1993) |
Time range of research | 1979 | 1860–1985 | 1850–1990 | 1950–1970, 1970–1986 | 1960–2001 | 1940–1980 | 1951–1986 |
Research area | Sweden Malmö Six land areas. | USA Nine high-density development areas in the Minneapolis central business district. | Six cities in Canada. (Toronto, Montreal, Vancouver, Ottawa, Edmonton, Halifax). | New towns in the south and west of the U.S. (Dallas, Phoenix), old cities in the eastern USA (Baltimore, Philadelphia, Washington, D.C.), London, England. | Downtown New York, USA. | Eight cities in the Canadian metropolitan area (Toronto, Montreal, Vancouver, Ottawa, Quebec, Hamilton, Halifax, Victoria). | |
Consider the factors of the land price | O | O | O | X | O | X | O |
Considering population and social characteristics | X | X | X | O | O | O | O |
Analysis factor | Capitalized Zone: The actual size of the land area considered by the landowner. Potential Zone: The size of the zone in conditions that can create the best value to the maximum. | Capitalized Zone: Tax Valuation Amount Potential Zone: Estimating the sales price just before the original development and the sales price just before redevelopment. | Capitalized Zone: Tax Valuation Amount Potential Zone: Considering factors such as accessibility to major roads, distance from the metropolitan area, size of the area, population, etc. | The proportion of workers in the fourth industry living in the city center, nuclear families (family composition), education level, construction volume of new houses in the form of condominiums in the city center, and proportion of the English-speaking population. | Economic base, occupational class structure, fluctuations in household income, urban environment, and cultural preferences of the cautious class. | The importance of cultural values, such as the proportion of highly educated and high-income service workers, the increase in the loft and boutique ratio, and the degree of real estate development. | Gross household income growth rate, changes in income redistribution within each region, geographical movement of household income growth classes to urban areas, small household ratios, and increased teaching level. |
Analysis method | Establishing a theory of change flow for each zone. | Analysis of changes in land prices before and after redevelopment. | Analysis of changes in land prices before and after redevelopment. | A characteristic analysis of gentrifiers/Analysis of changes in the housing market according to the analysis of changes in education level, income, and occupational group. | Analysis of the existence and characteristics of gentrifiers in regions where rent gaps have occurred. | Analysis of gentrifier characteristics/Production patterns of urban cultural capital. | Analysis of the degree of distribution of household income levels in the city center by region. |
Analysis focus | Gentrification occurs when the rent gap is large enough. | Gentrification occurred in the area with the largest rent gap and the lowest housing price. | Nine cities are classified into three types for each flow of change, and the empirical proof of the rent gap theory is proved. | Gentrification occurs due to an increase in the proportion of the cautious class. | Gentrification occurs when four factors related to supply and demand are met | Gentrification occurs due to the increase in cultural copies following the advent of gentrification and the resulting spatial change. | Gentrification occurs when the distribution of high-income households with a certain amount or more in the city center and the resulting neighborhood environment change. |
Pre-Intervation | Post-Intervation | Difference | |
---|---|---|---|
Control Group | |||
Control Group | |||
Difference |
Change by year in Gusan | Change by year in Daegu | Change by year in Jeonju |
| ||
Gusan DID data change result | Daegu DID data change result | Jeonju DID data change result |
|
Site Gentrification Stage | Gunsan | Site Gentrification Stage | Daegu | Jeonju |
---|---|---|---|---|
1 | ‘2006~2007’~‘2010~2011’ Up to 5.5 percent increase in DID coefficient The land price of the research target site is slowly rising | 1 | ‘2006~2007’~‘2008~2009’ Up to 5.6 percent higher coefficient of DID A study on the site of the land below | ‘2006~2007’~‘2007~2008’ Gradually increasing the value of the DID coefficient The land price increase of the research target site is low |
1-1 | ‘2010~2011’~‘2013~2014’ | 2 | ‘2009~2010’~‘2013~2014’ | ‘2008~2009’~‘2012~2013’ |
Up to 11.1% increase in DID coefficient | Starting in 2011, the value of the DID coefficient is increasing | Continues an upward trend of the coefficient of DID | ||
2 | ‘2013~2014’~‘2015~2016’ In a short period of time, the value of the DID coefficient decreases rapidly The land price of the research target site has risen sharply | 3 | ‘2013~2014’~‘2016~2017’ The increase in DID coefficient value is high Continuous rise in land prices of research sites | ‘2013~2014’~‘2014~2016’ Average land Price of the site rises rapidly |
3 | ‘2016~2017’~‘2019~2020’ Average land price and DID coefficient value increase or decrease flexibly | 4 | ‘2016~2017’~‘2019~2020’ The average land price in the site dropped increase controls, but rise | ‘2016~2017’~‘2019~2020’ Changes in average land price and DID coefficient values Both the target area and the control area are decreasing, but the trend of decreasing the target area is further strengthened |
Site Gentrification Stage | Gunsan | Daegu | Jeonju |
---|---|---|---|
1 | 2006–2012 The opening index rose sharply to 0.5 → 1.44, for a short period of time. Index value of 1 or more appears. | 2006–2011 Both the opening index and the closing index declined below 1, showing a pattern of the original city center. | 2006–2012 Accelerating the rise of the opening index in the target site along with the environmental maintenance project. |
2 | 2013–2015 The time when both the opening rate and the closing rate rise (a large number of industries inflow and outflow). The integration of certain industries begins. | 2012–2015 At a specific point in time, the opening/closing business index rises to a value of 1 or more, and the range of change appears fluidly. Accelerating the integration of specific industries. | 2013–2016 The upward trend of the business opening index is maintained. Expanding tourist attractions due to the integration of specific industries. |
3 | 2016–2017 It turns into a downward trend. Both the opening and closing indices indicate negative values. The closure index surpasses the opening index. | 2016–2017 A time when the industry changes actively. The size of the relevant commercial district continues to expand due to the active opening and closing of the lodging and restaurant businesses. | 2016–2017 The opening index continues to rise, and the closing index is on the decline. The size of the commercial district is shrinking. |
4 | 2018–2021 The time when the commercial district is continuously reduced. The closing rate of integrated commercial districts has soared. | 2018–2021 The opening and closing index sharply decreased to a value of 0–0.5. The opening and closing business index also showed a similar pattern to the time before the implementation of the urban regeneration project. | 2018–2021 Accelerating the reduction of commercial districts. The decline of commercial districts began due to the rapid increase in the closure of lodging and restaurant businesses. |
Changes in the Opening and Closing Rates of all Industries in Gunsan | Changes in the Opening and Closing Rates of all Industries in Daegu | Changes in the Opening and Closing Rates of all Industries in Jeonju |
| ||
Changes in the Opening and Closing Rates of Integrated Industries (Accommodation, Restaurant) in Gunsan | Changes in the Opening and Closing Rates of Integrated Industries (Accommodation, Restaurant) in Daegu | Changes in the Opening and Closing Rates of Integrated Industries (Accommodation, Restaurant) in Jeonju |
|
Phase | Population | Supply Aspect | Demand Aspect |
---|---|---|---|
Preliminary stage | Rent gap occurs: changes in the flow of the DID coefficient [13]. | - | |
Phase 1 (Gentrification stage) | −20% compared to the standard | Increase or decrease in DID coefficient occurs. The rate of change is 5% or higher. | Opening index of 1 or higher. It is above the window closure index. (Opening index > Closing index) |
Phase 2 (Gentrification development stage) | −40% compared to the standard | Increase or decrease in DID coefficient occurs. Change rate of 5–15% or higher. | Opening index and closing index of 1 or higher. The window closing index is below 0 (Closing index > Opening index) [14] |
Phase 3 (Advanced gentrification) | −50% compared to the standard | Increase or decrease in DID coefficient occurs. Decrease in the rate of change. | Opening index, closing index below 1. The window closing index is below 0.5. |
Phase 4 (Gentrification decline stage) | −50% compared to the standard | Increase or decrease in DID coefficient occurs. Continuous decline in the rate of change. | Opening index is below 0.5. Closing index of 2 or higher. The window closure index is −2 or lower. |
Gusan | Project Implementation Time | Compared to the Standard * Population Change Rate (%) | Supply Side | Demand Side | Phase of Gentrification | ||||||||||||
Rate of Change in Unit Price of Real Trading Price (%) | DID Coefficient Change Rate (%) | Opening Index | Closing Index | Opening-Closing Index | Industry I’s Opening Index | Industry I’s Closing Index | Industry I’s Opening- Closing Index | ||||||||||
2006 | −43.7 | 0.27 | 0.05 | 0.22 | 0.43 | 0.14 | 0.28 | Preliminary | |||||||||
2007 | −9.0 | 0.19 | 0.14 | 0.05 | 0.09 | 0.26 | 0.11 | 0.15 | |||||||||
2008 | −9.0 | 0.15 | 0.05 | 0.17 | 0.04 | 0.14 | 0.31 | 0.13 | 0.19 | ||||||||
2009 | ① | ② | 0.0 | 0.00 | 0.00 | 0.09 | 0.03 | 0.06 | 0.2 | 0.03 | 0.17 | ||||||
2010 | −2.2 | 0.06 | 0.01 | 0.17 | 0.09 | 0.08 | 0.2 | 0.2 | 0 | ||||||||
2011 | −4.2 | 0.23 | −0.02 | 0.21 | 0.18 | 0.03 | 0.13 | 0.55 | −0.42 | ||||||||
2012 | −9.7 | 0.07 | 0.03 | 1.44 | 0.23 | 1.2 | 0.65 | 0.56 | 0.09 | 1 | |||||||
2013 | ③ | −13.7 | 0.01 | 0.01 | 0.55 | 0.58 | −0.04 | 0.88 | 0.95 | −0.06 | |||||||
2014 | ④ | −17.1 | −0.12 | 0.04 | 0.72 | 0.74 | −0.02 | 1.42 | 1.06 | 0.36 | |||||||
2015 | −21.2 | −0.02 | −0.03 | 1.66 | 0.41 | 1.25 | 2.42 | 0.74 | 1.68 | ||||||||
2016 | −26.2 | −0.04 | −0.03 | 0.51 | 1.11 | −0.61 | 0.77 | 0.97 | −0.2 | ||||||||
2017 | −28.5 | 0.03 | 0.02 | 0.83 | 0.34 | 0.49 | 1.54 | 0.65 | 0.89 | 2 | |||||||
2018 | −31.1 | −0.10 | −0.02 | 0.36 | 0.15 | 0.21 | 0.5 | 0.28 | 0.23 | ||||||||
2019 | ⑤ | −34.8 | −0.10 | 0.04 | 0.3 | 0.12 | 0.18 | 0.66 | 0.21 | 0.45 | |||||||
2020 | −37.4 | 0.02 | −0.05 | 0.2 | 1.09 | −0.89 | 0.32 | 2.25 | −1.94 | ||||||||
2021 | −42.5 | 0.03 | 0.03 | 0 | 0.05 | 0.05 | 0 | ||||||||||
* Criteria: When the number of residents begins to decrease <Execution project in the target site(Gusan)> ①Art Creation Belt Project (2009–2011) ②Stage 1 of the Modern Cultural City Creation Project (2009–2019) ③Wolmyeong-dong Urban Regeneration Project (2014–2018) ④Stage 2 of the Modern Cultural City Creation Project (2009–2019) ⑤Modern History and Culture Space Rehabilitation Project (2019–2023). | |||||||||||||||||
Daegu | Project Implementation Time | Supply Side | Demand Side | Phase of Gentrification | |||||||||||||
Rate of Change in Unit Price of Real Trading Price (%) | DID Coefficient Change Rate (%) | Opening Index | Closing Index | Opening-Closing Index | Industry I’s Opening Index | Industry I’s Closing Index | Industry I’s Opening-Closing Index | ||||||||||
2006 | 0.11 | 0.01 | 0.1 | 0.18 | 0.00 | 0.18 | - | ||||||||||
2007 | −17.10 | 0.16 | 0.06 | 0.1 | 0.24 | 0.00 | 0.24 | ||||||||||
2008 | −5.50 | 5 | 0.14 | 0.01 | 0.13 | 0.25 | 0.00 | 0.25 | |||||||||
2009 | ① | ② | 16.40 | 1 | 0.17 | 0.09 | 0.09 | 0.24 | 0.06 | 0.18 | |||||||
2010 | ③ | 3.30 | −2 | 0.25 | 0.07 | 0.18 | 0.19 | 0.19 | 0.00 | Preliminary | |||||||
2011 | ④ | 12.20 | −1 | 0.23 | 0.06 | 0.17 | 0.38 | 0.00 | 0.38 | ||||||||
2012 | ⑤ | −2.90 | 1 | 1.55 | 0.18 | 1.37 | 0.56 | 0.50 | 0.06 | 1 | |||||||
2013 | ⑥ | ⑦ | 6.80 | 1 | 0.55 | 0.7 | −0.15 | 1.03 | 0.74 | 0.29 | |||||||
2014 | 5.80 | 2 | 0.62 | 0.54 | 0.09 | 1.64 | 0.58 | 1.06 | |||||||||
2015 | 18.20 | 1 | 1.09 | 0.3 | 0.79 | 1.62 | 0.46 | 1.16 | |||||||||
2016 | 15.30 | 0 | 0.44 | 0.72 | −0.28 | 1.47 | 0.41 | 1.06 | |||||||||
2017 | 2.40 | 1 | 0.86 | 0.46 | 0.39 | 1.98 | 1.05 | 0.93 | |||||||||
2018 | 15.10 | −2 | 0.16 | 0.07 | 0.09 | 0.50 | 0.15 | 0.35 | 2 | ||||||||
2019 | 7.40 | 0 | 0.26 | 0.1 | 0.16 | 0.85 | 0.20 | 0.65 | |||||||||
2020 | −1.50 | 3 | 0.25 | 0.61 | −0.36 | 0.61 | 1.18 | −0.57 | |||||||||
2021 | 0.05 | 0 | 0.05 | 0.24 | 0.00 | 0.24 | |||||||||||
<Execution project in the target site(Daegu)> ①Bangcheon Market, Byeol-Byeol-Market Project (2009) ②Bangcheon Market 1st Project (2009–2010) ③Bangcheon Market 2nd Project (2010–2011) ④Bangcheon Market 3rd Project (2011) ⑤Daegu Modern-Alley-Tourism-Promotion Project (2012) ⑥Urban Tourism Promotion Project (2013) ⑦Kim-Kwang-Seok’s ReDrawing Way Project (2013-). | |||||||||||||||||
Jeonju | Project Implementation Time | Compared to the Standard * Population Change Rate (%) | Supply Side | Demand Side | Phase of Gentrification | ||||||||||||
Rate of Change in Unit Price of Real Trading Price (%) | DID Coefficient Change Rate (%) | Opening Index | Closing Index | Opening-Closing Index | Industry I’s Opening Index | Industry I’s Closing Index | Industry I’s Opening-Closing Index | ||||||||||
2006 | 0.00 | 0.13 | 0.02 | 0.12 | 0.29 | 0.06 | 0.24 | Preliminary | |||||||||
2007 | ① | ② | ③ | −8.10 | −32.00 | 0.19 | 0.07 | 0.12 | 0.94 | 0.32 | 0.61 | ||||||
2008 | −8.80 | −13.70 | 4 | 0.24 | 0.04 | 0.2 | 0.62 | 0.18 | 0.44 | ||||||||
2009 | −11.80 | 23.50 | 2 | 0.26 | 0.05 | 0.21 | 0.81 | 0.09 | 0.72 | ||||||||
2010 | ④ | −17.10 | 23.20 | −4 | 0.46 | 0.12 | 0.34 | 1.4 | 0.43 | 0.97 | |||||||
2011 | −20.10 | 24.70 | 5 | 0.34 | 0.08 | 0.27 | 0.97 | 0.24 | 0.73 | 1 | |||||||
2012 | ⑤ | −25.50 | 6.60 | 0 | 2.76 | 0.25 | 2.52 | 1.95 | 0.75 | 1.2 | |||||||
2013 | −29.00 | 22.60 | 2 | 0.75 | 0.45 | 0.29 | 1.38 | 0.85 | 0.53 | ||||||||
2014 | −33.70 | 4.40 | −1 | 1.35 | 0.90 | 0.45 | 2.31 | 0.97 | 1.34 | 2 | |||||||
2015 | −39.60 | 8.90 | 0 | 2.92 | 0.62 | 2.3 | 4.23 | 1.03 | 3.2 | ||||||||
2016 | −42.30 | 27.90 | 1 | 0.82 | 1.68 | −0.87 | 1.61 | 1.56 | 0.05 | ||||||||
2017 | ⑥ | −45.30 | −16.90 | −2 | 0.93 | 1.46 | −0.52 | 1.67 | 2.36 | −0.69 | |||||||
2018 | −47.50 | −3.60 | 3 | 0.28 | 0.27 | 0.01 | 0.62 | 0.52 | 0.11 | 3 | |||||||
2019 | −51.50 | −12.20 | −2 | 0.2 | 0.20 | 0.01 | 0.44 | 0.42 | 0.01 | ||||||||
2020 | ⑦ | −54.00 | −11.80 | −1 | 0.38 | 2.21 | −1.83 | 0.45 | 4.75 | −4.3 | 4 | ||||||
* Criteria: When the number of residents begins to decrease <Execution project in the target site(Jeonju)> ①Project of the Model Street for a Signboard (2007–2009) ②Making Livable City Project (2007–2015) ③Civil Movement for the Traditional Korean Culture-Based City, Jeonju (2007–2026) ④Hanok Support Business (2010) ⑤Selection of pilot project for globalization of local brands (2012–2014) ⑥Antique street Regeneration Project (2017–2020) ⑦Pedestrian Environment Improvement Project. |
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Jang, R.; Yoon, C.-J. Building a Diagnostic Model for the Development Phase of Gentrification in the Original City Centers of the Provinces in Korea. Sustainability 2022, 14, 3804. https://doi.org/10.3390/su14073804
Jang R, Yoon C-J. Building a Diagnostic Model for the Development Phase of Gentrification in the Original City Centers of the Provinces in Korea. Sustainability. 2022; 14(7):3804. https://doi.org/10.3390/su14073804
Chicago/Turabian StyleJang, Rebecca, and Cheol-Jae Yoon. 2022. "Building a Diagnostic Model for the Development Phase of Gentrification in the Original City Centers of the Provinces in Korea" Sustainability 14, no. 7: 3804. https://doi.org/10.3390/su14073804
APA StyleJang, R., & Yoon, C.-J. (2022). Building a Diagnostic Model for the Development Phase of Gentrification in the Original City Centers of the Provinces in Korea. Sustainability, 14(7), 3804. https://doi.org/10.3390/su14073804