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This chapter delves into the transformative power of innovation clusters on urban landscapes, using Shenzhen as a prime example. It examines how the rise of innovation districts, driven by the technological economy, has reshaped urban centers and generated economic growth. The chapter explores the spatial distribution and classification of innovation clusters, revealing how they evolve and interact with their urban environments. Through a detailed case study of the Che-Gong-Miao area, it illustrates the dynamic relationship between urban morphology and innovation, highlighting the role of urban renewal and infrastructure in fostering vibrant innovation ecosystems. The analysis also underscores the importance of industrial and building diversity in enhancing innovation capacities and urban vitality, providing valuable insights for urban planners and policymakers seeking to create resilient and innovative cities.
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Abstract
In recent years, many startup businesses have grown with the development of the so-called high-tech industries. Unlike conventional enterprises, these firms prefer to settle down in city centers, which gradually form innovation clusters leading to renewal processes that transform old buildings in the city. The aim of this paper is to research how the innovation economy has boosted such renewal processes and its impact on urban form. Shenzhen has been selected as the case study, which is known as the fastest-growing Chinese city highly dependent on its high-tech industry. The method is to map the distribution of 19,232 innovation companies by linking their spatial information with their innovation capacity indexes. Certain concentration areas can be identified and classified as innovation clusters according to their business models. The innovation clusters are categorized into four types. Their distribution patterns, characteristics, and formulation principles were analyzed to investigate the relation between the business composition of innovation clusters and urban morphology. By analyzing the Che-Gong-Miao area, the function of old factory buildings and their value in the renewal process was revealed. A set of morphological principles can be concluded regarding such renewal processes driven by the innovation economy.
15.1 Introduction
With the trend of globalization and technological economy, innovation clusters have gradually become a new type of highlighted urban form in cities. More importantly, innovation clusters are the crucial driving force of urban renewal that generates more jobs and benefits the economy in urban central areas, making them worthy of in-depth urban research. In the 1980s, so-called “innovation districts” were formed in Kendall Square in Boston (Katz et al. 2013). Young people working in the innovation industries have been paying more attention to the central area with better amenities and opportunities when selecting office sites (Florida 2004). They hope to have more exchanges with their peers while maintaining the quality of life, and are willing to reduce rent by sharing office space with others. Thus, innovation districts developed in this background and were distributed in the central area of the city, usually concentrated in one or several blocks (Florida 2003).
At the beginning of the twenty-first century, the Brookings Institution, a renowned American think tank, conducted relevant theoretical research on the development of innovation districts driving the renewal of urban centers. Katz et al. (2013) summarized the theory of the innovation district, which garnered extensive attention from the academic community regarding this urban phenomenon. The emergence of innovation industries and the formation of innovation clusters in the urban core area have gradually changed the population composition and economic model of the urban center, leading to the renewal of the urban center and the gradual evolution of urban form (Katz et al. 2013). This paper aims to use Shenzhen as a case study, where a strong innovation industry has developed in recent years, to research the urban morphology of innovation clusters.
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In 2021, the total market value of science and technology companies in Shenzhen reached 10.64 trillion CNY, ranking first in China. The number of patent applications in Shenzhen also ranked first among large- and medium-sized cities in the country. In addition to the early-founded high-tech park area, a number of industrial clusters have formed in Shenzhen, including various innovation clusters, especially the innovation districts created in the city to incubate startups and small scientific and technological entrepreneurial teams.
After just 40 years of urban development, Shenzhen has become a globally recognized innovation city that has undergone the industrial development process from manufacturing to R&D oriented. Within such a short period of time, the development trajectory remains clear, which allows for further study of how the innovation industry has developed and correlated with urban morphology. This paper firstly studies the spatial distribution principles of innovation clusters in the city. Secondly, it analyzes the classification of innovation clusters based on industrial characteristics. Thirdly, through a case study of a typical innovation district, the correlation between the innovation industry and urban morphology is researched.
15.2 Literature Review
The researches related to the topic of innovation districts can be categorized as two types. The first is focused on the economic aspect, with the formulation of the industrial cluster concept by Porter (1998). He argued that location remains the most influential factor for industrial development and that industrial clusters benefit all firms located in the area. Florida (2003) expanded on this concept with a focus on firms in cities and analyzed the driving factors of diversity and creativities in relation to innovation. Clark et al. (2010) analyzed regional-scale data on global patenting by large and small firms to examine the resilience of innovation ecology. Patenting data was used as an essential index for measuring the performance of innovation firms. More indicators of innovation districts were reviewed, by analyzing the regeneration strategies of 22@ in Barcelona, the business configurations of innovation districts were identified (Pareja-Eastaway, Pique 2011). According to the business models, the typical forms of innovation districts based on business models, classifying them into three types: science clusters, high-tech clusters, and creative clusters (Bröcker et al. 2012). Although those researches provided definition and general indicators of innovation districts, it lacked the analysis of the urban morphologies of innovation districts, which are the basis for formulating industrial clusters.
The second category of related research gradually shifted its attention to the built environment of innovation districts. Researchers analyzed the physical forms of innovation districts on a small to medium scale using a qualitative approach with regard to sustainable development (Forsyth, 2014). Hawken et al. (2017) investigated the spatial distribution pattern of innovation firms in relation to their business connections and physical connections to urban form. Pancholi et al. (2018) explored the key design attributes related to the placemaking of knowledge and innovation spaces, which enabled subsequent research to classify innovation districts according to the related concept framework of place quality (Yigitcanlar et al. 2020). This concept framework was further expanded into an operational framework that included four dimensions (feature, function, space, and context), 16 indicators, and 48 measures (Adu-McVie et al. 2021). However, few studies have analyzed innovation districts while considering their impact on the overall urban environment from the perspective of urban morphology.
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On the one hand, innovation districts demonstrate strong internal connections between firms located within them. On the other hand, innovation districts are also related to a diversity of built environments, which can be mapped and classified into various types. This phenomenon has spurred the study of how clusters of innovation firms are related to certain urban forms. This paper aims to investigate these correlations, categorize them into different types, and provide insights into their functions as parts of the city.
15.3 Background
As one of the fastest-growing cities in the world, Shenzhen celebrated its 40th birthday in 2020. In a remarkably short period, the city has grown from a small town with just 30 thousand people to a megacity with nearly 20 million people, a miraculous feat in the history of urban development. One key factor contributing to Shenzhen's rise is the beneficial policies that have arisen from China's economic reform since 1979. In 1980, the Chinese central government officially designated Shenzhen as the country's first special economic zone. Located adjacent to Hong Kong, Shenzhen became the ideal place for building factories with cheap labor and land resources. Additionally, policies allowed investment from overseas and Hong Kong to build factories, which became the foundation of Shenzhen's manufacturing industry. In 1982, Shenzhen municipality released its first master plan, which indicated that industrial areas would be evenly distributed along the linear border between Shenzhen and Hong Kong (see Fig. 15.1). During the early 1980s, Shenzhen's development was hampered by a limited budget for constructing infrastructure. The linear city layout was designed for efficiency, with one main thoroughfare (Shen-Nan Road) linking all industrial plots together and evenly distributed along the two cities’ shared border, which established the industrial spatial framework of the city (Zacharias et al. 2015).
In 1983, the total industrial output value of Shenzhen was 720 million CNY, with the electrical industrial output contributing 45.4%, nearly half of all industries. The consistent growth of the electrical industry not only led to further geographical expansion of factories toward the northern suburb area but also caused the industry to transform toward an upgraded industry with a completed cycle. Besides, the successful development of the electrical manufacturing industry generated huge opportunities for upstream businesses, meaning the R&D sectors. Such a phenomenon released the full potential of transforming the manufacturing industry into an innovation-oriented business. During the industrial development, the manufacturing industrial areas were sequentially replaced by the innovation industry. The manufacturing industrial areas had been gradually pushed away from the city center, just like other post-industrial cities. However, the transformation of industries happened so quickly that the original industrial areas in the city center gained the opportunity to be renewed rather than abandoned, and those industrial areas became the starting point of the innovation industry in Shenzhen. In order to understand the development of innovation clusters, it is worth looking at the development of industrial areas initially.
The development of industrial land-use distribution indicates the spatial pattern of industrial areas in the city (see Fig. 15.2). From 1984 to 2003, in nearly just 20 years, the surface area of industrial areas grew from 2.5 km2 to 208 km2, nearly a hundred times. The whole process went through four stages of industrial growth. The first stage was the beginning of the manufacturing industry, which appeared near the demands of goods around the border. In 1984, industrial areas were mainly concentrated around the town center for better connection to Hong Kong by railway (Luohu port) and ships (Shekou port). The second stage was the formation of the industrial spatial framework, which had a strong correlation with the city's existing infrastructure. In 1994, along with the expansion of the city's territory, the distribution of industrial areas indicated an apparent spatial pattern in line with the development of highways. This pattern remained obvious from 1994 to 2000, and the industrial areas started to grow around the existing clusters in 2003. The third stage was the formation of industrial clusters, which was the process of intensification of industrial areas. The geographical growing pattern of industrial areas was driven by the manufacturing industrial chain, which further enhanced the industrial clusters. The fourth stage was the transformation of industrial clusters. More specifically, the industrial land in the outer city areas had reached 188 km2 compared to just 20 km2 within the inner-city area in 2003. Following the economic growth, the increasing land value of the city gradually pushed the manufacturing industry away from the city center areas. As a result, all industrial areas within the city center areas also transforming to another function in different ways. These areas were required to be integrated with their surrounding urban environments. Consequently, the spatial pattern of industrial land became the foundational framework for the distribution of the innovation industry.
This paper is aimed to study the typology of innovation clusters in terms of the companies’ constitution and their relations with urban morphology. The research also intended to investigate how innovation clusters responded to urban form. The research methods included quantitative and qualitative approaches. In general, the companies’ register information was collected by the open data platform of Shenzhen (https://opendata.sz.gov.cn/). There are in total 19,232 companies with high-tech certifications in the city or national level. The companies’ employee numbers were sourced from Shenzhen administration for market regulation (https://amr.sz.gov.cn/). The intellectual property data was sourced from China national intellectual property administration (https://www.cnipa.gov.cn/). All data was used together with the GIS model of Shenzhen to analysis the distribution of those high-tech companies, in order to map how collective firms formulated the innovation clusters. Further analysis with urban morphology approaches were used to map the spatial form of different innovation clusters, including satellite images analysis from the 2000s to the 2020s. Detailed case studies were conducted by field survey during both the working days and holidays in 2022.
The research includes three parts of analysis (see Fig. 15.3). First, the distribution of high-tech companies in the city scale was studied to locate and map the distribution patterns of innovation clusters, as well as investigate the principles of the spatial framework for innovation cluster distribution. Second, innovation clusters were researched according to their business compositions and industrial performances, in order to classify them. The morphology of specific innovation clusters was studied, and their spatial characteristics were analyzed. Third, a case study of the innovation district, the Che-Gong-Miao areas, was conducted to further research the urban morphology of innovation districts. This part of the study aimed to find out how urban morphology impacted the formulation of innovation districts’ characteristics.
15.4.1 Part 1: The Distribution Patterns of Innovation Clusters
According to the list of firms’ register information, business information could be projected spatially, including the number of employees, industry type, intellectual capacities, registered capitals, etc. Below study was completed by ArcGIS. Figure 15.4 demonstrated the distribution of high-tech firms, representing the innovation industry. The employees’ density of innovation industry could be measured by ranking the innovation population within TAZ (Traffic Analysis Zones). It indicated that in total 50 areas were concentrated, and appeared to be the potential innovation clusters (see Fig. 15.5). In terms of the pattern of innovation population density distribution, there was a significant different between the eastern area and the western area of the overall city. The western area had 89% of all firms and 84% of all the innovation population, and this was over 5 times to the eastern area.
15.4.2 Part 2: The Classification of Innovation Clusters
Further study was conducted based on the analysis of the previously identified 50 potential innovation clusters (see Table 15.1). The main streets around each sample were measured within its blocks. Due to the large scale of the Shenzhen high-tech park area, it was divided into 9 blocks for further study. Company scale was defined by the number of employees based on related national guidelines. Companies with less than 100 employees were considered small size businesses, those with more than 100 employees but less than 300 employees were considered medium size businesses, and those with more than 300 employees were considered large size businesses. The list of 50 concentrated innovation areas was studied according to their innovation capacities, which were measured by the total number of patents of all firms within the block. The dominant industry of these areas and the number of employees in that industry were also included in the analysis. An Innovation Performance Matrix (IPM) was introduced for a detailed analysis of the innovation cluster typologies. The IPM was then defined the types of innovation clusters according to evaluate their industrial characteristics (see Table 15.2). It was used to analyze the characteristics of the 50 innovation clusters, which could be classified into 6 categories, such as Innovation campus, Innovative manufacturing cluster, New built innovation district, Incubator type of Innovation district, Renewed Innovation district, and Headquarters type of innovation district.
Table 15.1
50 potential innovation clusters
Potential innovation clusters
Percentage of small firm employees (%)
Percentage of dominant industry (%)
Innovation capacity index (%)
Huawei Global Headquarters
1
97
44,163
High-tech Park-6
18
45
43,100.75
High-tech Park-3
18
57
24,819
Nan-Shan-Zhi-Yuan
11
25
10,424.75
High-tech Park-7
22
33
8081
High-tech Park-1
21
29
7612.25
High-tech Park-8
25
37
6316.75
Jian-Gang-Shan
27
22
5794
Central West
7
62
5229.75
Che-Gong-Miao
31
16
4280.75
Qianhai Innovation and Entrepreneur Hub
39
52
3979.75
Nan-You
31
22
3800
High-tech Park-4
37
34
3702.5
Cloud City
43
25
3465.5
High-tech Park-2
26
34
3238.25
Zhu-Keng
8
43
2990
Shi-Long
18
20
2828.25
Bao-Long Industrial Park
12
55
2348
Foxconn
9
49
2300.25
High-tech Park-5
25
35
2264.25
Bai-Mang
16
41
2015
Hua-Yuan-Cheng
26
21
1973
Exhibition Centre South
17
33
1954.75
Hua-Qiang-Bei East
18
44
1821
Shang-Li-Lang
41
20
1698.75
Yu-Tang
15
34
1653.5
Fu-Hai
31
52
1601.5
Luo-Zu
18
58
1599.75
Dong-Jiang Science and Technology Park
13
45
1542
High-tech Park-9
29
14
1511.5
Da-Lang
23
27
1494.75
Skyworth Industrial Park
25
46
1421.75
Qing-Hu
12
41
1307
Shun-Luo
11
65
1291.75
Da-Lang East
33
45
1281.5
OCT Loft
15
53
1223.75
Xi-Fa Community
44
25
1223
Merlin New Generation Industry
18
23
1145.25
Fu-Qiao
20
64
891.5
Exhibition Centre North
15
58
864.25
Xin-He
10
72
860.25
International Innovation Centre
10
44
858
Sha-Yi Village
16
58
816.25
Xiang-He
4
48
616.25
Heng-Feng Industrial Park
27
34
607.5
Hua-Nan City
12
27
568
Kui-Chong Industrial Park
3
55
423.5
Tong-Fu
4
64
293.5
Dong-Men
32
58
250
Yi-Zhan Centre
19
39
196.5
Cao-Pu
0
99
142.5
Table 15.2
Evaluation matrix for categorized innovation clusters
Types of Innovation clusters
Innovation campus
Innovative manufacturing cluster
New built innovation district
Incubator innovation district
Renewed innovation district
Headquarters innovation district
Percentage of small firm
employees
Low
Low
Low
High
High
Low
Mix rate of Industry
Low
Low
High
Low
High
Low
Innovation capacity
High
Low
High
High
High
High
Characters of Innovation district
Without
Without
With
With
With
Without
15.4.3 Part 3: Case Study of Innovation District
Unlike other innovation districts that are typically influenced by governmental organizations or research institutions, such as universities, the Che-Gong-Miao area exhibits the characteristic of a self-grown innovation district relying on its self-growth. The Che-Gong-Miao was built in the 1990s as manufacturing factories for electric goods, it differentiated itself from other planned science park-type innovation districts. Over the years of development, there have been renewal projects mixed with new built offices within the Che-Gong-Miao area. For this reason, the Che-Gong-Miao had not only a high rate of small firms but also a diversity of building types. Besides, the Che-Gong-Miao area locates closer to the city center makes it an ideal sample for morphological study. The analysis was conducted based on three interconnected aspects: industrial characters, urban typologies, and urban integration. The comparative study provides critical observations of urban development in relation to innovation districts. The urban morphologies of both areas were studied by mapping satellite images from the 2000s to the 2020s. The industrial characters were analyzed together with the urban form by 3D massing, while urban integration studies were conducted through POI (Point of Interest) analysis.
15.5 Results and Discussions
15.5.1 Overall Distribution Pattern of Innovation Clusters
The concentration of industrial development and innovation clusters in Shenzhen is primarily located in the western area, which can be attributed to two main factors from an urban morphological perspective. Firstly, the eastern area functions as an ecological preservation area, acting as a fringe belt that segregates urban clusters and resulting in a weaker integration of the traffic road system (as shown in Fig. 15.6). Consequently, the eastern area is less attractive to investors in comparison to the western area. Secondly, the western area benefits from its advantageous location, being closer to the center of the Pearl River Delta and having shorter distances to major transport hubs such as airports, harbors, and railway stations. With less ecological preservation area and more industrial land available, the western area is able to form stronger industrial clusters that are capable of accommodating innovation industries.
Fig. 15.6
Ecological preservation area (green) impacted on the distribution of industrial land
Another notable characteristic of innovation employees’ density distribution is the contrast between the southern and northern areas (see Fig. 15.5). The northern area, considered as the outer city, exhibited a more discrete pattern of innovation population density. This is in contrast to the southern area, the city center, which displayed a more concentrated and integrated pattern. This pattern can be attributed to Shenzhen's geographic characteristic as a linear city. The linear infrastructures such as metro and expressway served as attractors that linked innovation clusters together. This principle also applied to the district level. In Futian district, most innovation clusters were observed along metro line 1, which was the central line along Shennan Boulevard that ran through the entire city (see Fig. 15.7). Access to urban resources via metro line 1 was a key factor in the linear distribution of innovation clusters in this area. In contrast, in Nanshan district, the innovation clusters were more widely distributed (see Fig. 15.8). Reservation of industrial lands facilitated the consistent growth of the high-tech park. Once large firms settled in this area, their industrial chain supported downstream small firms and start-ups, leading to the accumulation of innovation companies and the formation of this highly converged distribution of innovation clusters.
Fig. 15.7
The distribution pattern of innovation clusters in Futian district
The 50 innovation clusters were arranged according to the percentage of small firm employees, innovation capacities index, and mix rate of industries, which reflects the industrial characteristics of the dominant industry. According to the research data, 40% of the mix rate of industries was the threshold of appearing the dominant industry. Figure 15.9 displays the innovation clusters with a mix rate of industries below 40%, while Fig. 15.10 shows those with a mix rate above 40%. Using the IPM approach, 8 quadrants of innovation clusters with distinct characteristics were identified. However, the innovative manufacturing clusters appeared less innovation capacities index with no more than 3000. Their urban fabrics and land-use indicated that those areas without characters of innovation district. This research excluded the innovative manufacturing clusters and focused on the rest four quadrants of innovation clusters, which can be categorized into four types, including New-built innovation district, Incubator type of Innovation district, Renewed Innovation district, and Headquarters type of innovation district. This operation also excluded the Huawei Global headquarters area as the innovation campus type, which was mainly occupied by just one mega-firm. It was not appropriate to be defined as a cluster of innovation firms for the research. Besides, the incubator Innovation district type included only one incidence, the Qianhai Innovation and Entrepreneur Hub, which was promoted by local government policies to support innovative small firms and start-ups without an industrial chain coming from big firms. This allowed it to function independently without neighboring large innovation companies. However, since it was not a naturally formed innovation district, it was not suitable for further analysis.
Fig. 15.9
IPM for evaluating the innovation clusters with mix rate of industries less than 40%
The typical headquarters innovation district is located in the high-tech park-6 area (see Fig. 15.11, Tables 15.3, 15.4). This area houses several well-established firms’ R&D centers, including DJI, Mindway, and Skyworth. It is a type of innovation district that is led by large firms and forms an industrial chain with downstream businesses in smaller sizes. In this type of innovation cluster, although the dominant industry's portion is not as high as in the Huawei area, it still accounts for over 40% of all employment, with 65% of people working for large high-tech firms and 18% working for small or start-up businesses. The headquarters innovation district is also a type of new-built innovation district, which is mainly constructed by high-rise office towers with a high density of street networks. These two types share a similar urban morphology, although the new-built innovation district can include multiple industries and is not necessarily dominated by a single industry.
Fig. 15.11
High-tech park-6 area as the example of innovation campus
Innovation firms and their performance in High-tech park-6 area
Innovation firms of different sizes
Innovation employees’ proportion (%)
Innovation employees
Innovation index
0–99
18.23
11510
5497.5
100–199
7.37
4652
1294.5
200–300
8.62
5442
1455
>300
65.78
41524
34853.73
Total
100.00
63128
43100.75
Table 15.4
Innovation industry configuration in High-tech park-6 area
Dominant industry
Industry employees proportion (%)
Industry innovation proportion (%)
Software and information technology services
44.82
76.16
Others
33.38
11.53
Manufacturing of computers, communications, and other electronic equipment
15.30
9.29
Pharmaceutical manufacturing industry
6.49
3.02
Total
100.00
100.00
However, the focus of this research was on the renewed innovation districts, which had more than 25% of small firm employees in the area. It appears that having a diversity of companies of different sizes can increase innovation capacities in the areas. The innovation capacities indexes of these areas were always around 4000. The renewed innovation districts can be represented by the Che-Gong-Miao area (Fig. 15.12, Table 15.5, Table 15.6), which presents a different typology compared to the previous ones. In this area, large high-tech firms covered only 33% of the total employment, while small and start-up firms covered 31%. About 30% of employees were in the field of software and hardware design. Additionally, there were quite a few firms without a high-tech background located in this area. In contrast, in the high-tech park-6 area, employees in the field of software and hardware design were up to 61%. From these facts, it can be inferred that the Che-Gong-Miao area is an innovation district with a good mixture of innovation companies in different scales and with diverse expertise.
Fig. 15.12
Che-Gong-Miao area as the example of renewed innovation district
Innovation firms and their performance in Che-Gong-Miao area
Innovation firm of different sizes
Innovation employees proportion (%)
Innovation employees
Innovation index
0–99
31.10
7546
2348.25
100–199
20.15
4889
1000.75
200–300
15.73
3816
289.5
> 300
33.02
8011
642.25
Total
100.00
24,262
4280.75
Table 15.6
Innovation industry configuration in Che-Gong-Miao area
Dominant industry
Industry employees proportion (%)
Industry innovation proportion (%)
Others
60.49
44.76
Software and information technology services
16.46
31.21
Manufacturing of computers, communications, and other electronic equipment
14.29
22.81
Monetary and financial services
10.76
1.22
Total
100.00
100.00
15.5.3 The Morphological Study of Innovation Districts
In 1988, the Chinese government launched the Torch program, which aimed to promote the high-tech industry by supporting the construction of innovation campuses. The Shenzhen high-tech park was the first innovation campus built under this program in China. During the early planning stages in the 1980s, mixed-use land use strategies were not yet popular in China. The high-tech park area was planned as a mono-functional area for innovation campuses. Such large developments initiated by policies were typically built on large empty sites, as was the case with the high-tech park area. The urban morphology of this area was studied using satellite images. From the 2000s to the 2020s, the high-tech park-6 area were in the process of new built construction (see Fig. 15.13).
The new built innovation district had an advantage in terms of having available land suitable for large innovation companies. The small plots and dense street network planning conditions allowed for headquarters buildings to take on a compact high-rise office building form. This resulted in the high-tech park-6 area having a 20% coverage rate of office towers above 50 m and a 60% coverage rate of high-rise offices between 24 and 50 m. As a result, this area was densely populated with high-rise buildings, which coincided with the configuration of the innovation clusters. The large innovation companies dominated this area, and small businesses could potentially work downstream of the larger companies within this innovation type.
Che-Gong-Miao area in Futian district had a different story. In the early 1980s, due to its distance to the Luohu city center at that time, it was planned as an industrial area, which was mainly for manufacturing family electronics. In 2000s, Shenzhen moved its governmental center from Luohu district to Futian district. Che-Gong-Miao’s location disadvantage suddenly became advantage. Following Shenzhen’s rapid growing economy, Che-Gong-Miao area soon developed its strong third industry. Che-Gong-Miao's location advantage, especially its exceptional transportation infrastructure, played a crucial role in its development as an innovation district. In addition to its proximity to the border point of Hong Kong, the area's accessibility was greatly enhanced by the presence of four metro lines, which made it easier for businesses and employees to connect with other parts of the city and access urban resources. As a result, the area saw the rapid development of its third industry, with a good mixture of small and start-up firms, and a focus on software and hardware design. This diversity of companies in different sizes and expertise, as well as the availability of urban resources and a supportive policy environment, helped to create a vibrant innovation ecosystem in Che-Gong-Miao.
The urban morphology of the Che-Gong-Miao area was studied based on its development strategies in past years. In comparison to the high-tech park-6 area, urban renewal has always played an important role in the Che-Gong-Miao area. Urban renewal projects within the Che-Gong-Miao area began appearing in the early 2000s. New buildings were primarily developed along city boulevards, while factories were hidden in the inner blocks. The consistency of urban development and renewal projects was crucial for maintaining the vitality of this area, resulting in a good mixture of new and old buildings (see Fig. 15.14).
As a result of this process, the Che-Gong-Miao area boasts a diverse range of building types and functions. The dominant industry in the innovation category in this area was software, information, and electric device design, which accounted for 31.8% of the industry mix, with the remaining 68.2% being a mixture of other industries. Unlike the high-tech park-6 area, which had only a 40% mixture of other industries, Che-Gong-Miao area demonstrated a diverse range of industries. This makes it a suitable example to investigate its spatial properties as an innovation district. In order to analyze the urban form of innovation clusters, the building typology where small innovation firms are located in the Che-Gong-Miao area was also mapped (see Fig. 15.15).
Fig. 15.15
3D massing diagram indicating the dominant type of innovation firm in Che-Gong-Miao area
According to the register information of innovation companies, there was a higher concentration of innovation firms in the western and eastern blocks of the Che-Gong-Miao area, with the eastern block showing a more diverse mix of building types. The western block had undergone renovations during previous development periods, with some single-story factories being converted into high-rise offices and others were renovated to amenities instead of offices. A more detailed analysis of the register information of innovation companies in the eastern block showed that a significant number of small and large firms in the dominant software and information industries were located in renovated factories, indicating that these renovated factories were still suitable as office spaces for innovation companies (see Fig. 15.16 and Table 15.7).
Fig. 15.16
Innovation industry and building types statistics in Che-Gong-Miao area
Innovation firms in relation to building types and location
Block location
Buildings equal or less than 10 floors (renewed factories)
Buildings more than 10 floors (highrise offices)
Innovation employees
Innovation employees proportion (%)
Innovation employees
Innovation employees proportion (%)
East
915
15
2142
34
Center
318
5
908
14
West
122
2
1876
30
Total
1355
22
4926
78
Another prominent feature of the Che-Gong-Miao area was its large number of amenities, including restaurants and bars. The POI information about these places showed a concentration in the middle block, which was the least dense block in the area but had the highest connectivity (see Fig. 15.17). The distribution patterns indicated a strong relationship to the streets and around the metro stations, rather than to the innovation firms located there. This suggests that the restaurants and bars not only served people working in the Che-Gong-Miao area, but were also easily accessible for people visiting by public transportation. It is apparent that the Che-Gong-Miao area had strong integration with the surrounding city.
Fig. 15.17
POI for restaurants and bars in Che-Gong-Miao area
In general, the innovation clusters are active and diverse in Shenzhen. They are attracted to places with excellent accessibilities and good connections for transportation. Amount all type of the innovation clusters, the most innovative area is still the one which led by the large firms and also collaborating certain number of small firms around them. The large firms should make up over 40% of the working population in the area, while small firms should not be less than 25% of the total. Industrial diversity does not seem to be as important for innovation capacity, but it is crucial for the vitality of the area, just like the diversity of building typologies. The industrial diversity is not developed by well-planned area, rather grew up naturally rely on the flexibility of building typologies, which demonstrated strong ability to adapt to the developing economy. The development of the Che-Gong-Miao area exemplifies this phenomenon.
In the 1990s, Che-Gong-Miao was originally an industrial area. It was successfully transformed with the development of the stronger western of Shenzhen, especially following the established Futian district as the new center of Shenzhen. The increased land value of Che-Gong-Miao presented opportunities for the conversion of old factories, some of which were transformed into offices that attracted innovation firms. The construction of the metro system accelerated the process, and soon Che-Gong-Miao became a place with a high concentration of innovative businesses and a diverse mix of industries. This urban renewal process also resulted in a mixture of building typologies. In comparison to the mono-functional new-built office towers, the renovated old factories demonstrated their advantages of being adaptable to various converted functions due to their spatial flexibility. Therefore, the old factory buildings not only functioned as renovated offices with lower rent for small innovation firms, but were also converted to commercial functions such as shops, restaurants, bars, and sports facilities for young people working in the area with strong consumption demands (see Fig. 15.18). Due to its central location and excellent accessibility, Che-Gong-Miao has become a destination for nightlife for young people. The area is home to well-known restaurants and bars that have branded the area. In other words, the old factories filled the gap of mono-functional industrial areas that lacked amenities and helped integrate the area with the surrounding city.
Although the high-tech park-6 area has a higher innovation capacity index value, the urban morphology of such an area appears homogeneous. Newly built offices, such as high-rise towers, appear to have weak adaptation to the surrounding city. At night, the high-tech park-6 area lacks vitality. The difference in urban form affects the industrial and social activities in such areas. In recent years, resilience has become a topic of urban research. The degree of functional flexibility in terms of urban morphology could be further researched in order to understand its adaptation to the developing economic environment. This research could potentially provide value for the economic resilience of the city.
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