Next Article in Journal
Production and Compression Strength of Mortars Containing Unprocessed Waste Powdered Steel Slag
Previous Article in Journal
Spatial–Temporal Patterns and Driving Factors of Rapid Urban Land Development in Provincial China: A Case Study of Jiangsu
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Monitoring the Different Types of Urban Construction Land Expansion (UCLE) in China’s Port City: A Case Study of Ningbo’s Central City

Institute of Agriculture Remote Sensing and Information Technology, College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China
*
Author to whom correspondence should be addressed.
Sustainability 2017, 9(12), 2374; https://doi.org/10.3390/su9122374
Submission received: 29 November 2017 / Revised: 15 December 2017 / Accepted: 17 December 2017 / Published: 19 December 2017

Abstract

:
The internal structure of urban construction land expansion (UCLE) is closely related to urban sustainability, and the UCLE in China’s port city has a unique pattern. This study attempted to monitor the internal structure evolution of UCLE based on construction land transfer data in Ningbo’s central city from 2002 to 2015. Equality fan analysis and kernel density analysis were applied to characterize the spatial–temporal dynamics of different types of UCLE and to summarize their evolution patterns. The results revealed that in the whole study area, the rank of the expansion size and intensity of construction land was: industrial land > traffic land > residential land > public land > commercial land. The dominant directions of all types of UCLE were the directions of the port zones. In the port zones, there were more apparent expansion trends and higher expansion intensities of industrial, traffic and public lands, which meant that the port had significant impact on UCLE, especially in terms of industrial land. Additionally, commercial and residential land expansions showed a circle-shaped gradient pattern; industrial land sprawl was in a leapfrog pattern; public and traffic land sprawl was illustrated in a bi-centric pattern. In the future, local government should encourage the development of residential and public land rather than industrial land, and shift the present industry structure which dominated by industry to a more balanced structure, in order to achieve sustainable development.

1. Introduction

Urban construction land expansion (UCLE) is the key research area of urban planning and urban geography which has attracted the attention of many decision makers, planners and scholars [1]. The internal structure of UCLE is the reflection of urbanization quality [2]. Meanwhile, the evolution of land use structure is strongly linked to urban socio-economic development and ecological environment protection [3,4]. Therefore, creating a suitable internal structure of UCLE is beneficial to effective allocation of urban land resources, as well as social and economic sustainable development [4,5].
In recent years, western developed countries have entered into the post-industrial era, which has generated many new urbanization problems, such as imbalanced urban land use structure, inner city decay and traffic congestion. In order to alleviate these problems, many scholars have carried out numerous studies, which cover the following aspects: urban spatial extension and sprawl [6,7,8,9,10,11], industrial spatial layout [12,13], urban land use changes [14,15,16,17], and traffic organization [18,19], all of which has provided an important theoretical support for the study of UCLE.
China is now undergoing a period of rapid urbanization, which has brought about a fast reconstruction and expansion of urban construction land. In this context, UCLE showed the characteristics of diversification and complexity [20,21,22]. Common problems such as imbalanced urban land use structure, traffic congestion, and unordered sprawl exist in metropolitan area, which has resulted in the low efficiency of urban production–living–service space formation and urban operation [4,23,24,25,26]. As an aspect of empirical research of UCLE, most of the domestic scholars had either studied the expansion, the morphological characteristics and spatial patterns of urban overall construction land [27,28,29] or concentrated on the research of a single type of urban construction land, e.g., industrial land, residential land and business service land [30,31,32,33]. Hence, the studies on the internal structure, and the spatial–temporal characteristics and evolution pattern of UCLE are insufficient.
The basis of urban land allocation in China has been the transfer system of construction land use right, which attempted to form a reasonable internal structure of UCLE. This system derived from the “State-owned land access rules of invitation for bid, auction and hanging out shingle” (implemented from 1 July 2002). According to this regulation, all kinds of profit-oriented lands such as business, tourism, entertainment and commodity residential lands must be transferred through bidding, auction or listing [34,35]. It was conducive to give the market the significant role in optimal allocation of land resources [4,26]. Meanwhile, the study of UCLE can be enhanced by classification of the expanded construction land into different sub-types. This will help to uncover the internal structure of the land and subsequently improve the overall efficiency of the urban land.
UCLE has similar situations in port cities and general cities. However, due to the special status of ports, ports play a significant role in UCLE. Therefore distinct spatial–temporal characteristics and evolution pattern of UCLE emerge in port cities [36]. In this study, we took a famous port city in Eastern China—Ningbo’s central city as our study area. From the 1990s, the Ningbo government overemphasized and focused on industrial development, especially harbor industry development, rather than the improvement of a high quality service sector [37], which has resulted in slow growth of GDP and a low contribution of service sector (tertiary industry) to GDP. In comparison to a neighboring major city such as Hangzhou, as of 2015, the contribution of the tertiary industry to GDP was nearly 20% greater than the secondary industry [38]. However, for Ningbo, the contribution of the tertiary industry was 1.6% less than the secondary industry [39]. Moreover, overestimating the industrial sector will sacrifice environmental quality and reduce the livability of the city, as well as obstruct human capital which is required for the development of service sector [40]. Hence, it is important to generate suitable internal structure of UCLE, which will guide more reasonable industry development. The industry development should be transformed from an industry-dominated mode into a service industry-dominated mode, in order to form new and green industry structure. This new industry structure will better protect Ningbo’s natural environment, create good quality urban living and promote a shift from production city to livable city [37]. In short, the suitable UCLE along with the new industry structure will make the city and human settlements more harmonious and sustainable.
This study attempted to monitor the internal structure evolution of UCLE based on construction land transfer data in Ningbo’s central city from 2002 to 2015. Three major goals were as follows: (a) characterizing the spatial–temporal dynamics of different types of UCLE in the whole central city and the port zones; (b) summarizing evolution pattern of each type of UCLE and (c) revealing the impact of port on UCLE, and to promote sustainable UCLE and sustainable development of social economy in a port city. The results of this study will provide benefit to optimizing the internal structure and space layout of UCLE, as well as provide reference and support for the formulation of urban master plan and relative development policies.

2. Materials and Methods

2.1. Study Area

Ningbo City is located in the middle of China’s coastline and the southern part of Yangtze River Delta. Ningbo Port consists of Beilun Port Zone, Zhenhai Port Zone, Ningbo Port Zone, Daxie Port Zone and Chuanshangang Port Zone; it is an important foreign trade port and shipping transit hub in the history of China. Ningbo is the fourth largest port city in the world, and is one of the fifteen strongest comprehensive and competitive cities in the Chinese mainland. It is also among the five regional centers in Yangtze River Delta. According to The General Report of Ningbo City Development Strategy to 2030, one of the development goals is transforming Ningbo from the port city into the Asia–Pacific international gateway city through strengthening the construction of an integrated transportation hub, and reinforcing the cultivation of core functions, such as trade and service industry. Another goal is creating a more ecological and livable city through protecting distinctive and superior natural environment (e.g., mountains, sea, rivers, lakes, islands), and improving the quality of urban life [37,41].
Ningbo City consists of six districts (i.e., Haishu, Jiangdong, Jiangbei, Zhenhai, Beilun and Yinzhou), two counties (i.e., Ninghai and Xiangshan) and three county-level cities (i.e., Yuyao, Cixi and Fenghua). Ningbo’s central city covers the scope of six districts with an area of 2560 km2 (Figure 1). Central city is located in Ningshao Plain; the terrain is high in southwest part and low in northeast part. Haishu, Jiangdong and Jiangbei districts are located in the center of the city, and these districts are the core carriers of the urban functions, namely they are political, economic and cultural centers. Zhenhai is one of the important ports for China’s foreign communication. Beilun is a crucial part of the international shipping center in northeast Asia, and is an important manufacturing base in East China. It is also a modern logistics center in the region. Yinzhou has developed high-end manufacturing and modern service industries. Furthermore, Yinzhou is the incubator of new industries; the comprehensive economic strength ranks first in Ningbo.

2.2. Data Preparation

Urban construction land transfer data in our study were obtained from the Ningbo Municipal Bureau of Land Resources. The land transfer records from 2002 to 2015 included the names and numbers of development projects, processing time, land areas, land prices and so on. The construction land data were imported into ArcGIS 10.1 software (Esri Inc., Redlands, CA, USA), and time division and land classification were implemented. Urban construction lands in this paper were divided into the following six categories: commercial land, residential land, industrial land, public administration and service land (public land), traffic land and other land. In order to maintain the integrity of the data, other land was included in this classification. However, because other land was relatively stable and it was not the research focus, the other five types of UCLE were mainly analyzed in this paper. The description, corresponding industry type and land area of each type of construction land can be found in Table 1. The corresponding industry types were displayed to help understand the situation of industry development along with the different types of UCLE.
Other geographical spatial data included existing urban construction lands vector data before 2002 and port zones vector data, which were sourced from the Ningbo Municipal Bureau of Land Resources. In addition, social and economic statistical data from 2002–2015 were derived from Ningbo Statistical Yearbooks [42] and Statistical Bulletins of Ningbo’s National Economy and Social Development [43].

2.3. Methods

2.3.1. Equality Fan Analysis

Equality fan analysis was used to reveal the spatial–temporal differences of urban expansion through analyzing anisotropy of UCLE. This meant the spatial–temporal differences of urban expansion can be shown by increased areas, expansion speeds and expansion intensities of construction lands in different orientations [24,44,45]. The specific steps were as follows: (1) in ArcGIS 10.1 software, the municipal government was set as center and the orientation of east by north (22°50′) was chosen as the starting point to draw 16 equal fans with proper radius size (60 km); (2) the line file was transformed to the shape file, and “Analysis Tools/Overlay/Intersect” was applied to divide 16 sector areas; (3) the expansion areas of each type of construction land in each sector area were extracted; (4) the expansion intensity index of each type of construction land in each sector area was calculated. Expansion intensity index was applied to analyze and describe the extended status of urban construction land. The intensities, speeds and trends of UCLE in different orientations and different periods could be compared by this index [46,47,48]. Expansion intensity index was expressed in Formula (1):
EI = Δ U i j / ( Δ t j × T L A i ) × 100
where Δ U i j refers to the expansion area of construction land in ith research unit in jth period; Δ t j refers to time span of jth period; T L A i refers to the total land area of ith research unit.
In order to highlight the dominant direction of urban expansion, Nature Breaks was used for determining five spatial expansion types based on the values of expansion intensity index (i.e., >0.08 was high-speed extension, 0.04–0.08 was fast-speed extension, 0.02–0.04 was medium-speed extension, 0.01–0.02 was slow extension, 0–0.01 was basic stability) [44]. If the spatial expansion types of adjacent orientations were high-speed extension and/or fast-speed extension, these adjacent orientations were combined together to form the urban dominant extension wing.

2.3.2. Kernel Density Analysis

Kernel density analysis was used to embody the gathering of construction land parcels based on some land attributes (e.g., land area) and generated hotspot maps [49]. In this analysis, firstly, a symmetrical surface was set over each point (i.e., mass center of each land parcel); then the distance from the surface to a reference position was calculated according to a Gaussian kernel function; finally, the distances from all the surfaces to that reference position were summed [50]. This analysis could evaluate local probabilities and degree of tectonic activities in the region [4,26]. Moreover, this analysis enabled us to show the spatial morphological changes of UCLE, and to reveal urban development process and the succession degree of functional space. Kernel density was expressed in Formula (2):
f ( x , y ) = 1 / ( n h 2 ) i = 1 n K ( d i / h )
where f ( x , y ) refers to the density in the position ( x , y ) ; n refers to the number of observation objects, h refers to bandwidth or kernel size, K refers to kernel function (i.e., land size), and d i refers to the distance from the position ( x , y ) to the position of ith observation object.

3. Results

3.1. Spatial–Temporal Characteristics of UCLE

3.1.1. The Whole Central City

In terms of temporal characteristic, urban construction land expanded drastically throughout the whole study period with the area of 32,887.29 ha and the expansion intensity of 1.06% (Table 2). The extended areas and intensities of industrial, traffic and residential lands were much larger than that of public, commercial and other lands. Industrial land had the largest and strongest expansion in Ningbo’s central city in 2002–2015. Although the extended area of total construction land in the period of 2010–2015 (14,247.63 ha) was less than that in the period of 2002–2009 (18,639.66 ha), the expansion intensity from 2010 to 2015 (1.19%) was larger than that from 2002 to 2009 (1.11%). It was interesting that, except for industrial land, the expansion intensities of other types of construction land in the latter period was greater than that in the previous period, especially residential and traffic land (Figure 2a).
In terms of spatial characteristics, the entire spatial pattern of UCLE is shown in Figure 3. UCLE was mainly adjacent to the existing construction land and presented a pattern of outward expansion from the center. Urban sprawl mainly occurred in the middle and east part of central city during the entire study period. Yinzhou, Zhenhai and Beilun Districts had a clear trend of construction land diffusion, while the urban expansion in the traditional urban center (i.e., Haishu, Jiangdong and Jiangbei Districts) was relatively compressive. However, it was noteworthy that all types of construction lands mainly expanded in Yinzhou, Zhenhai and Beilun Districts from 2002 to 2009, while they increased slowly in these three districts and maintained steady expansion in the traditional urban center from 2010 to 2015. Industrial, traffic, residential and public lands had wider extended scopes of expansion than that of commercial land in 2002–2015. The extended scope of commercial land was mainly concentrated in the traditional urban center and its surrounding areas.

3.1.2. The Port Zones

In terms of temporal characteristics, there was a significant urban sprawl in the port zones in the study period, and the area and the expansion intensity of UCLE was 7286.54 ha and 1.77%, respectively (Table 3). The increased trend of different types of construction lands in the port zones was similar to that of the whole central city. However, the expansion intensities of industrial land in the three periods (i.e., 1.26%, 0.79% and 0.98% respectively) were all much larger than that (i.e., 0.5%, 025% and 0.36% respectively) of the whole study area (Figure 2a,b). Traffic and public lands also had higher expansion intensities when compared to the situation in the whole central city. It was worth noting that the extended area and intensity of total construction land in the period of 2010–2015 had an obvious decreasing tendency, while residential and traffic lands showed a rising trend (Figure 2b).
In terms of spatial characteristics, the spatial pattern of UCLE in the port zones is displayed in Figure 3. UCLE were adjacent to the existing construction land in the port zones of Beilun District, while the expansion of new and isolated construction lands occurred in the port zones of Zhenhai District. There were prominent expansions of industrial, traffic, public and residential lands in 2002–2009, especially industrial land, while there was less expansion scope of construction lands in 2010–2015.

3.2. Spatial Differentiation of UCLE

The sector zoning map and the results of equality fan analysis were shown in Figure 4 and Table A1. In order to show spatial anisotropy and the dominant direction of urban development more intuitively, we drew radar maps and summarized five spatial expansion types of UCLE, which can be found in Figure 5 and Table A2. During the period of 2002–2009, only industrial and traffic land had obvious directional expansions. The dominant extension wings of industrial land were N-NNE and NE-NEE-E, and the traffic land’s dominant extension wing was NEE-E-SEE. Between 2010 and 2015, except for commercial land, four other types of UCLE had significant directional expansions. The dominant extension wings of these construction lands were as follows: (a) residential land: NEE-E-SEE and N-NNE; (b) industrial land: NNE-NE and NEE-E-SEE; (c) public land: NNE-NE-NEE-E-SEE; (d) traffic land: NE-NEE-E-SEE and NW-NNW. During the entire study period, NEE-E-SEE was the major expansion wing of all five types of construction land, which covered most of the port zones in the Beilun District. Moreover, another major expansion wing of industrial land was N-NNE-NE, which was the orientation of the port zone in the Zhenhai District.

3.3. Evolution Pattern of UCLE

To further reveal the dynamic evolution pattern of UCLE, we used kernel density analysis to evaluate the sprawl tendency of five types of construction lands (Figure 6): (a) Commercial and residential lands showed an increasing trend from the traditional urban center extended to Yinzhou, Zhenhai and Beilun Districts from 2002 to 2015 (Figure 6a–f). The hotspot areas of these two types of construction lands were distributed in the middle and east of the central city, which included some part of the port zones in the Beilun District; (b) Industrial land expansion clustered outside the urban center and located mainly in Zhenhai, Beilun and Yinzhou Districts (Figure 6g–i). In the period of 2002–2009, industrial land sprawled mainly in the west and the east, the eastern part of hotspot areas covered the most of the port zones in Zhenhai and Beilun Districts (Figure 6g); and in the period of 2010–2015, the hotspot areas only aggregated in the port zones (Figure 6h); (c) Public land sprawl moved from the middle to the east and the south, and the hotspot areas were located in the middle and the east (i.e., the port zones of Beilun District) of the central city between 2002 and 2015 (Figure 6j–l); (d) The directions of traffic land expansion were west, north and east, and the hotspot areas were mainly distributed in Yinzhou and the port zones of Zhenhai and Beilun Districts from 2002 to 2009 (Figure 6m). However, traffic land sprawl was concentrated in the traditional urban center from 2010 to 2015 (Figure 6n). Hence, the hotspot areas of traffic land expansion contained the traditional urban center and the port zones of Beilun District during the entire study period (Figure 6o).

4. Discussion

4.1. Spatial and Temporal Variation of UCLE

4.1.1. Temporal Variation

Ningbo is a famous industrial and commercial city in East China; its industry and commerce have been booming since the commercial port was opened. At the same time, Ningbo is the chemical industry base of Yangtze River Delta. Hence, along with the rapid development of economy, construction land showed sustained expansion in 2002–2015, especially industrial land.
In the period of 2002–2009, in order to overcome the global economic crisis, the Chinese government was committed to reinforcing infrastructure construction and promoting the prosperity of the real estate industry, modern service industry and other emerging industries [51]. In this background, all types of constructions lands in Ningbo’s central city sprawled drastically, especially residential and industrial land. According to the Ningbo City Master Plan (2006–2020) (revised in 2015) (NCMP), the development direction of Ningbo was to become an advanced manufacturing base and an important foreign trade port. Additionally, in the NCMP, logistics parks and cargo hubs would be in centralized distribution, which combined with port, highway, railway, the aviation field and a large industrial park. For instance, the NCMP projected to place the main logistics center in the rear area of Beilun Port. These planning contents accelerated the rapid expansions of industrial, traffic and public lands, especially in the port zones.
In the period of 2010–2015, because of the staged adjustment of economy and industrial structure, the expansion areas of construction land were less than that in the previous period, both in the whole central city and in the port zones. However, the expansion intensity remained high, which derived from the large land demand with rapid economic development. Industrial upgrading encouraged the development of commercial land and limited the unordered sprawl of industrial land, which led to the steep drop of the expansion area and intensity of industrial land. In this period, although the Chinese government enacted some policies and measures to regulate and control the hyped real estate market and outrageous home prices, such as “Housing Restriction Policy” (issued in 2010) [22], the expansion area and intensity of residential land maintained a high level due to the enormous housing demand. The significant expansion of traffic land was consistent with the development idea of the central city in NCMP, the content of which was strengthening the connection between the central city (included the port zones) and the peripheral areas by rail transit, highway and expressway, and by building an open network system.

4.1.2. Spatial Variation

According to the current situation of land available for development being mainly located outside the traditional urban center, major expansions of construction land occurred in Yinzhou, Zhenhai and Beilun Districts (i.e., the areas cover the whole port zones) from 2002 to 2009. However, in recent years (i.e., 2010–2015), for the sake of protecting land resources and achieving sustainable land use, the local government converted the extensive land use pattern to an intensive and economical land use pattern, and concentrated on improving the utilized efficiency of the stock lands in the traditional urban center. So the construction lands maintained steady expansion in the urban center during this period. The traditional urban center was positioned as the complete and functional administrative and business center in NCMP, so financial, commercial service, culture and entertainment industries were encouraged, as opposed to traditional and heavy industries. It resulted in the situation where commercial land had larger sprawl than industrial land in this area between 2002 and 2015.
In the port zones, the prominent expansions of industrial, traffic and residential lands during the period of 2002–2009 corresponded with the planning layout of Beilun and Zhenhai Districts in the NCMP. The content of the planning layout was the banded and grouped development of living-dwelling zone and coastal industrial storage zone, which were connected by rapid transit. A mass of industrial land expansion was closely related to the developed chemical engineering industry in the port zones. Ningbo Petrochemical Economic and Technological Development Zone (in Zhenhai District), Ningbo Economic and Technological Development Zone and Daxie Development Zone (in Beilun District) were vital chemical industry bases in Ningbo. There was less expansion scope for industrial land and other construction land during the period of 2010–2015, due to industrial upgrading and the transformation of land use pattern, which indicated that it would improve the comprehensive benefits of lands in the future. In addition, equality fan analysis proved that the located azimuths of port zones were the dominant extension wings of urban development in 2002–2015. It indicated that the actual urban sprawl in Ningbo was biased toward the port zones.

4.2. Spatial Evolution Pattern of UCLE

(a) Commercial and residential land expansions showed a circle-shaped gradient pattern from the traditional urban center to surrounding areas. However, commercial land gathered more centripetally than residential land. This may be because commercial lands were primarily sited in the areas with high land prices and good land use revenues, which was influenced by urban land prices. So the density of commercial land was the highest in the traditional urban center. Residential land also aggregated centripetally, and expanded outward with relatively high densities. It demonstrated that with the deepened degree of urbanization, the prosperity of the population and the economy has caused a huge housing demand. Furthermore, commercial and residential land also had an obvious sprawl in the port zones along with the growth of port trade and immigration; (b) Industrial land sprawled towards west and east and showed a leapfrog pattern, which was in accordance with the spatial distribution of major industries: high-end manufacturing and new industries in the Yinzhou District, and the chemical industry in the Zhenhai and Beilun Districts; (c) Public lands sprawled mainly around the traditional urban center and in the major port zones, which may have derived from the growing concerns of humanism and ecological harmony, thus local government aimed to reinforce the life service function and to build “Beautiful Ningbo”; (d) Traffic lands sprawled in the west, north and east of the central city in the previous period because the beltways of the traditional urban center and rapid transit in the port zones were constructed. In the latter period, traffic lands sprawled in the tradition urban center because of renewal projects of streets and alleys. The spatial evolution pattern of public and traffic land can be summarized as a bi-centric pattern, namely, two types of UCLE mainly agglomerated around the traditional urban center and in the port zones.

4.3. Sustainable Development in a Port City

4.3.1. Sustainable UCLE

The vision of sustainable UCLE involves decreasing the proportion of industrial land; increasing the proportions of residential land and public green space; guiding the balanced development of other types of construction lands [52]. Similarly, in order to respond to the call for intensive land use, and to avoid the problem of “value production space and despise living space”, local government should gradually reduce the quantity index of new industrial land and reserve sufficient residential and public land. It will not only conform to the principle of being “people-oriented”, but will also adapt to the rising level of economic and social development in Ningbo. At the same time, local government should improve the conditions of housing, transportation, education, culture, health and environment, expand the urban residential space and public life space, and steadily improve the quality of people’s life space.
The internal structure of UCLE in Ningbo was unreasonable, which was reflected by excessive industrial land expansion and insufficient residential and public land expansions. For the achievement of sustainable UCLE, local government should control the scale of industrial land in Yinzhou, Zhenhai and Beilun Districts, and increase the investment intensity, volume rate and building coefficient of industrial land. Residential land should be properly increased in and around the traditional urban center through activating the urban stock land and promoting the efficiency of land. Public land should be increased and equally allocated in the whole central city. Meanwhile, the public green space system should be improved and urban ecological landscapes should be beautified. Commercial land can be strengthened and appropriately increased in the traditional urban center and the port zones, so as to improve the business and service functions in the urban center and the port zones. Traffic land construction should be focused on the construction of a comprehensive intercity transportation network, based on the existing transportation lines and shipping hubs. These suggestions can provide reference and support for the formulation of an urban master plan and subsequent development policies.

4.3.2. Sustainable Development of the Social Economy

As an important port city, Ningbo’s maritime transport and trade has become a significant driving force of economic development in industry and service sectors [40]. The positive correlation between port development and GDP growth is shown in Figure 7. Based on the continuous development of maritime transport and technology, Ningbo Port has played an important role in international trade and service, and the throughputs of cargo and containers increased rapidly in the two periods. However, the composition of GDP was suboptimal because the contribution of the secondary industry to GDP was excessive and the contribution of the tertiary industry needed to be improved. In addition, the GDP of secondary industry in Ningbo mainly came from heavy industry, such as steel, chemical engineering and petroleum industries, which would affect environmental quality and city’s livability. It will create a dilemma of economic growth and environmental protection in the long term. Therefore, shifting the industry-dominated industry structure to a more balanced or a new service sector-dominated structure will reduce the environmental impact, as well as promote sustainable development of the social economy.

5. Conclusions

The previous studies mainly researched UCLE as a whole; and the internal structure of UCLE was not fully recognized. However, the various sprawls of different types of construction lands have great effects on retaining preponderant function and promoting sustainable development of the city. Furthermore, different types of UCLE in one of China’s port cities represent unique spatial–temporal characteristics and pattern, so it is necessary to supplement this current study with other relevant studies in important port cities. Based on the methods of equality fan analysis and kernel density analysis, our study revealed spatial–temporal characteristics and spatial differentiation of five types of UCLE, and summarized their evolution patterns in Ningbo’s central city during the period of 2002–2015. The main conclusions of these analyses were as follows:
(1)
The overall UCLE in Ningbo’s central city from 2002 to 2015 was huge and maintained a fast growth trend. The rank of the expansion size and intensity of construction land was: industrial land > traffic land > residential land > public land > commercial land. These UCLE were mainly adjacent to the existing construction land and presented a pattern of outward expansion from the urban center.
(2)
The UCLE in the port zones was prominent and the expansion intensity was higher than that of the whole central city, especially industrial land. UCLE was adjacent to the existing construction land in the port zones of the Beilun District, while the expansion of new and isolated construction lands occurred in the port zones of the Zhenhai District.
(3)
The dominant extension wings of all five types of construction lands were NEE-E-SEE and N-NNE-NE, which covered most of the port zones in the Zhenhai and Beilun Districts. It indicated that the actual urban sprawl in Ningbo was biased toward the port zones.
(4)
Commercial and residential land expansions showed a circle-shaped gradient pattern from the traditional urban center to surrounding areas. Industrial land sprawled outside the traditional urban center and in the port zones, which showed a leapfrog pattern. Public and traffic lands expansions illustrated bi-centric pattern, which meant that these two types of UCLE mainly agglomerated around the traditional urban center and in the port zones.
(5)
The internal structure of UCLE in Ningbo was unreasonable. Industrial land expansion should be controlled while residential and public lands should be increased to achieve sustainable UCLE. Additionally, the present industry structure, which was dominated by industry should be transformed to a more balanced structure to promote sustainable development of social economy.

Acknowledgments

The research presented in this paper was supported by the Technology Support Foundation, China (2006BAJ05A02). We also thank the anonymous reviewers for their constructive comments.

Author Contributions

Qing Zheng and Ke Wang conceived and designed the experiments; Ke Wang was responsible for recruitment and follow-up of study participants; Qing Zheng was responsible for data collection; Qing Zheng and Lingyan Huang carried out the analyses; Qing Zheng drafted the manuscript, which was revised by Qiming Zheng and Ghali Abdullahi Abubakar. All authors read and approved the final manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table A1. The results of equality fan analysis.
Table A1. The results of equality fan analysis.
Urban Construction LandFan SectionArea (ha)Expansion Intensity Index (%)
2002–20092010–20152002–20152002–20092010–20152002–2015
Commercial landN-NNE47.8365.67113.500.00290.00550.0036
NNE-NE56.3233.7490.060.00340.00280.0029
NE-NEE123.8536.59160.440.00740.00310.0051
NEE-E195.03136.96331.990.01160.01140.0107
E-SEE117.61142.64260.250.00700.01190.0084
SEE-SE24.7348.5473.270.00150.00400.0024
SE-SSE34.7480.42115.160.00210.00670.0037
SSE-S99.5177.76177.270.00590.00650.0057
S-SSW13.323.8437.140.00080.00200.0012
SSW-SW6.5620.2426.800.00040.00170.0009
SW-SWW27.629.957.500.00160.00250.0018
SWW-W35.2317.2252.450.00210.00140.0017
W-NWW7.0813.9621.040.00040.00120.0007
NWW-NW27.7726.0153.780.00170.00220.0017
NW-NNW38.2451.6889.920.00230.00430.0029
NNW-N34.5816.7851.360.00210.00140.0016
Residential landN-NNE139.3253.19392.490.00830.02110.0126
NNE-NE145.05171.93316.980.00860.01430.0102
NE-NEE254.27219.49473.760.01520.01830.0152
NEE-E591.21521.481112.690.03520.04350.0357
E-SEE158.97619.15778.120.00950.05170.0250
SEE-SE268.17224.86493.030.01600.01880.0158
SE-SSE301.74214.4516.140.01800.01790.0166
SSE-S185.54222.88408.420.01110.01860.0131
S-SSW120.25231.4351.650.00720.01930.0113
SSW-SW35.05128.77163.820.00210.01070.0053
SW-SWW85.18161.58246.760.00510.01350.0079
SWW-W80.09210.41290.500.00480.01760.0093
W-NWW81.24157.73238.970.00480.01320.0077
NWW-NW106.63164.72271.350.00640.01370.0087
NW-NNW389.63115.7505.330.02320.00970.0162
NNW-N172.6294.72267.340.01030.00790.0086
Industrial landN-NNE856.85164.751021.600.05110.01370.0328
NNE-NE496.1452.93949.030.02960.03780.0305
NE-NEE1174.32123.011297.330.07000.01030.0416
NEE-E2474.81749.953224.760.14750.06260.1035
E-SEE470.08575.081045.160.02800.04800.0335
SEE-SE483.27212.9696.170.02880.01780.0223
SE-SSE239.4883.74323.220.01430.00700.0104
SSE-S136.8914.71151.600.00820.00120.0049
S-SSW257.01135.35392.360.01530.01130.0126
SSW-SW211.0580.75291.800.01260.00670.0094
SW-SWW336.3454.43390.770.02000.00450.0125
SWW-W296.53108.3404.830.01770.00900.0130
W-NWW154.8130.6185.410.00920.00260.0059
NWW-NW107.3936.86144.250.00640.00310.0046
NW-NNW432.91141.82574.730.02580.01180.0184
NNW-N196.8414.99211.830.01170.00130.0068
Public administration and service landN-NNE190.2659.64249.900.01130.00500.0080
NNE-NE122.66152.73275.390.00730.01270.0088
NE-NEE242.46188.61431.070.01440.01570.0138
NEE-E601.75184.23785.980.03590.01540.0252
E-SEE106.72432.42539.140.00640.03610.0173
SEE-SE42.8380.9123.730.00260.00670.0040
SE-SSE64.27132.74197.010.00380.01110.0063
SSE-S190.0661.16251.220.01130.00510.0081
S-SSW58.0133.9992.000.00350.00280.0030
SSW-SW14.6481.9596.590.00090.00680.0031
SW-SWW115.2973.27188.560.00690.00610.0061
SWW-W21.7628.7850.540.00130.00240.0016
W-NWW30.7922.1252.910.00180.00180.0017
NWW-NW28.92103.39132.310.00170.00860.0042
NW-NNW216.95112.45329.400.01290.00940.0106
NNW-N58.2221.3779.590.00350.00180.0026
Traffic landN-NNE122.64159.21281.850.00730.01330.0090
NNE-NE271.17183.11454.280.01620.01530.0146
NE-NEE267.48332.74600.220.01590.02780.0193
NEE-E945.31958.061903.370.05630.07990.0611
E-SEE462.261056.631518.890.02750.08820.0487
SEE-SE133.32138.01271.330.00790.01150.0087
SE-SSE113.97222.49336.460.00680.01860.0108
SSE-S143.1977.66220.850.00850.00650.0071
S-SSW48.2764.90113.170.00290.00540.0036
SSW-SW90.2484.21174.450.00540.00700.0056
SW-SWW157.17110.81267.980.00940.00920.0086
SWW-W67.87107.41175.280.00400.00900.0056
W-NWW43.27121.78165.050.00260.01020.0053
NWW-NW251.89166.25418.140.01500.01390.0134
NW-NNW189.10273.19462.290.01130.02280.0148
NNW-N83.80192.25276.050.00500.01600.0089
Table A2. Spatial expansion types of UCLE.
Table A2. Spatial expansion types of UCLE.
Urban Construction LandSpatial Extension TypeOrientationDominant Extension Wing
2002–20092010–20152002–20152002–20092010–20152002–2015
Commercial landHigh-speed extension NEE-ENEE-E-SEENEE-E-SEE
Fast-speed extension
Medium-speed extension
Slow extensionNEE-ENEE-E, E-SEENEE-E
Basic stabilityOthersOthersOthers
Residential landHigh-speed extension NE-NEE-E, NW-NNW-N, SEE-SE-SSE-S NEE-E-SEE, N-NNENEE-E-SEE
Fast-speed extension NEE-E, E-SEE
Medium-speed extensionNEE-E, NW-NNWN-NNENEE-E, E-SEE
Slow extensionNE-NEE, SEE-SE, SE-SSE, SSE-S, NNW-NNNE-NE, NE-NEE, SEE-SE, SE-SSE, SSE-S, S-SSW, SSW-SW, SW-SWW, SWW-W, W-NWW, NWW-NWN-NNE, NNE-NE, NE-NEE, SEE-SE, SE-SSE, SSE-S, S-SSW, NW-NNW
Basic stabilityN-NNE, NNE-NE, E-SEE, S-SSW, SSW-SW, SW-SWW, SWW-W, W-NWW, NWW-NWNW-NNW, NNW-NSSW-SW, SW-SWW, SWW-W, W-NWW, NWW-NW, NNW-N
Industrial landHigh-speed extensionNEE-E NEE-EN-NNE, NE-NEE-ENNE-NE, NEE-E-SEEN-NNE-NE-NEE-E-SEE
Fast-speed extensionN-NNE, NE-NEENEE-E, E-SEENE-NEE
Medium-speed extensionNNE-NE, E-SEE, SEE-SE, NW-NNWNNE-NEN-NNE, NNE-NE, E-SEE, SEE-SE
Slow extensionSE-SSE, S-SSW, SSW-SW, SW-SWW, SWW-W, NNW-NN-NNE, NE-NEE, SEE-SE, S-SSW, NW-NNWSE-SSE, S-SSW, SW-SWW, SWW-W, NW-NNW
Basic stabilitySSE-S, W-NWW, NWW-NWSE-SSE, SSE-S, SSW-SW, SW-SWW, SWW-W, W-NWW, NWW-NW, NNW-NSSE-S, SSW-SW, W-NWW, NWW-NW, NNW-N
Public administration and service landHigh-speed extension NEE-ENNE-NE-NEE-E-SEENE-NEE-E-SEE
Fast-speed extension
Medium-speed extensionNEE-EE-SEENEE-E
Slow extensionN-NNE, NE-NEE, SSE-S, NW-NNWNNE-NE, NE-NEE, NEE-E, SE-SSENE-NEE, E-SEE, NW-NNW
Basic stabilityNNE-NE, E-SEE, SEE-SE, SE-SSE, S-SSW, SSW-SW, SW-SWW, SWW-W, W-NWW, NWW-NW, NNW-NN-NNE, SEE-SE, SSE-S, S-SSW, SSW-SW, SW-SWW, SWW-W, W-NWW, NWW-NW, NW-NNW, NNW-NN-NNE, NNE-NE, SEE-SE, SE-SSE, SSE-S, S-SSW, SSW-SW, SW-SWW, SWW-W, W-NWW, NWW-NW, NNW-N
Traffic landHigh-speed extension E-SEE NEE-E-SEENE-NEE-E-SEE, NW-NNWNEE-E-SEE
Fast-speed extensionNEE-ENEE-ENEE-E, E-SEE
Medium-speed extensionE-SEENE-NEE, NW-NNW
Slow extensionNNE-NE, NE-NEE, NWW-NW, NW-NNWN-NNE, NNE-NE, SEE-SE, SE-SSE, W-NWW, NWW-NW, NNW-NNNE-NE, NE-NEE, SE-SSE, NWW-NW, NW-NNW
Basic stabilityN-NNE, SEE-SE, SE-SSE, SSE-S, S-SSW, SSW-SW, SW-SWW, SWW-W, W-NNW, NNW-NSSE-S, S-SSW, SSW-SW, SW-SWW, SWW-WN-NNE, SEE-SE, SSE-S, S-SSW, SSW-SW, SW-SWW, SWW-W, W-NWW, NWW-N

References

  1. Zhang, J.X. History of Urban Planning in Western Cities; Southeast University Press: Nanjing, China, 2005. (In Chinese) [Google Scholar]
  2. Lichtenberg, E.; Ding, C. Local officials as land developers: Urban spatial expansion in China. J. Urban Econ. 2009, 66, 57–64. [Google Scholar] [CrossRef]
  3. Angel, S.; Parent, J.; Civco, D.L.; Blei, A.; Potere, D. The dimensions of global urban expansion: Estimates and projections for all countries, 2000–2050. Prog. Plan. 2011, 75, 53–107. [Google Scholar] [CrossRef]
  4. Jiang, G.; Ma, W.; Qu, Y.; Zhang, R.; Zhou, D. How does sprawl differ across urban built-up land types in china? A spatial-temporal analysis of the Beijing metropolitan area using granted land parcel data. Cities 2016, 58, 1–9. [Google Scholar] [CrossRef]
  5. Hassan, A.M.; Lee, H. Toward the sustainable development of urban areas: An overview of global trends in trials and policies. Land Use Policy 2015, 48, 199–212. [Google Scholar] [CrossRef]
  6. Bhatta, B.; Saraswati, S.; Bandyopadhyay, D. Urban sprawl measurement from remote sensing data. Appl. Geogr. 2010, 30, 731–740. [Google Scholar] [CrossRef]
  7. Hamidi, S.; Ewing, R. A longitudinal study of changes in urban sprawl between 2000 and 2010 in the United States. Landsc. Urban Plan. 2014, 128, 72–82. [Google Scholar] [CrossRef]
  8. Altieri, L.; Cocchi, D.; Pezzi, G.; Scott, E.M.; Ventrucci, M. Urban sprawl scatterplots for urban morphological zones data. Ecol. Indic. 2014, 36, 315–323. [Google Scholar] [CrossRef]
  9. Vaz, E.D.N.; Nijkamp, P.; Painho, M.; Caetano, M. A multi-scenario forecast of urban change: A study on urban growth in the Algarve. Landsc. Urban Plan. 2012, 104, 201–211. [Google Scholar] [CrossRef]
  10. Dorning, M.A.; Koch, J.; Shoemaker, D.A.; Meentemeyer, R.K. Simulating urbanization scenarios reveals tradeoffs between conservation planning strategies. Landsc. Urban Plan. 2015, 136, 28–39. [Google Scholar] [CrossRef]
  11. Alnsour, J.A. Managing urban growth in the city of Amman, Jordan. Cities 2016, 50, 93–99. [Google Scholar] [CrossRef]
  12. Gilli, F. Sprawl or reagglomeration? The dynamics of employment deconcentration and industrial transformation in Greater Paris. Urban Stud. 2009, 46, 1385–1420. [Google Scholar] [CrossRef]
  13. Mo, L. Research of the Relationship between Industrial Structure and Spatial Layout Based on GIS. In Proceedings of the 2015 International Conference on Intelligent Transportation, Big Data and Smart City (ICITBS), Halong Bay, Vietnam, 19–20 December 2015; pp. 617–621. [Google Scholar]
  14. Deal, B.; Schunk, D. Spatial dynamic modelling and urban land-use transformation: A simulation approach to assessing the costs of urban sprawl. Ecol. Econ. 2004, 51, 79–95. [Google Scholar] [CrossRef]
  15. Kang, S.; Post, W.; Wang, D.; Nichols, J.; Bandaru, V.; West, T. Hierarchical marginal land assessment for land use planning. Land Use Policy 2013, 30, 106–113. [Google Scholar] [CrossRef]
  16. Disperati, L.; Virdis, S.G. Assessment of land-use and land-cover changes from 1965 to 2014 in Tam Giang-Cau Hai Lagoon, Central Vietnam. Appl. Geogr. 2015, 58, 48–64. [Google Scholar] [CrossRef]
  17. Bae, J.; Ryu, Y. Land-use and land cover changes explain spatial and temporal variations of the soil organic carbon stocks in a constructed urban park. Landsc. Urban Plan. 2015, 136, 57–67. [Google Scholar] [CrossRef]
  18. Yigitcanlar, T.; Sipe, N.; Evans, R.; Pitot, M. A GIS-based land use and public transport accessibility indexing model. Aust. Plan. 2007, 44, 30–37. [Google Scholar] [CrossRef] [Green Version]
  19. Grigonis, V. Feasibility study on traffic restriction strategies in the old town of Vilnius City. Philobiblon Transylvanian. J. Multidiscip. Res. 2008, 22, 647–648. [Google Scholar]
  20. Lu, D.; Yao, S.; Li, G.; Liu, H.; Gao, X. Comprehensive analysis of the urbanization process based on Chinese conditions. Econ. Geogr. 2007, 6, 883–887. [Google Scholar]
  21. Wang, Y.; Min, Z. Urban spill over vs. local urban sprawl: Entangling land-use regulations in the urban growth of China’s megacities. Land Use Policy 2009, 26, 1031–1045. [Google Scholar]
  22. Ding, C.; Zhao, X. Land market, land development and urban spatial structure in Beijing. Land Use Policy 2014, 40, 83–90. [Google Scholar] [CrossRef]
  23. Zhou, D.; Xu, J.; Wang, L.; Lin, Z. Assessing urbanization quality using structure and function analyses: A case study of the urban agglomeration around Hangzhou Bay (UAHB), China. Habitat Int. 2015, 49, 165–176. [Google Scholar] [CrossRef]
  24. Zhou, G.; Li, C.; Li, M.; Zhang, J.; Liu, Y. Agglomeration and diffusion of urban functions: An approach based on urban land use conversion. Habitat Int. 2016, 56, 20–30. [Google Scholar] [CrossRef]
  25. Tian, L.; Ge, B.; Li, Y. Impacts of state-led and bottom-up urbanization on land use change in the peri-urban areas of Shanghai: Planned growth or uncontrolled sprawl? Cities 2016, 60, 476–486. [Google Scholar] [CrossRef]
  26. Jiang, G.; Ma, W.; Wang, D.; Zhou, D.; Zhang, R.; Zhou, T. Identifying the internal structure evolution of urban built-up land sprawl (UBLS) from a composite structure perspective: A case study of the Beijing metropolitan area, China. Land Use Policy 2017, 62, 258–267. [Google Scholar]
  27. Lv, X.; Huang, X. Research progress and prospect of construction-land expansion. Geogr. Geo-Inf. Sci. 2013, 6, 51–58. [Google Scholar]
  28. Bao, L.; Wang, J. Driving forces of urban construction-land expansion in the mainland of China. China Land Sci. 2009, 8, 68–72. [Google Scholar]
  29. Jaeger, J.A.G.; Bertiller, R.; Schwick, C.; Cavens, D.; Kienast, F. Urban permeation of landscapes and sprawl per capita: New measures of urban sprawl. Ecol. Indic. 2010, 10, 427–441. [Google Scholar] [CrossRef]
  30. Wu, W.; Zhang, W.; Liu, Z. Tempo-spatial analysis of the residential land spatial pattern in Beijing. Geogr. Res. 2010, 29, 683–692. [Google Scholar]
  31. Yu, W.; Song, J.; Hu, Z. Tempo-spatial patterns and influence of leased commercial land lots in Beijing. Econ. Geogr. 2012, 1, 109–113. [Google Scholar]
  32. Yu, J.; Zhang, W.; Dong, G. Spatial heterogeneity in the attributes prices of residential land in Beijing. Geogr. Res. 2013, 3, 1113–1120. [Google Scholar]
  33. Kuang, W.; Liu, J.; Dong, J.; Chi, W.; Zhang, C. The rapid and massive urban and industrial land expansions in China between 1990 and 2010: A CLUD-based analysis of their trajectories, patterns, and drivers. Landsc. Urban Plan. 2016, 145, 21–33. [Google Scholar] [CrossRef]
  34. Du, J.; Thill, J.C.; Peiser, R.B.; Feng, C. Urban land market and land-use changes in post-reform China: A case study of Beijing. Landsc. Urban Plan. 2014, 124, 118–128. [Google Scholar] [CrossRef]
  35. Huang, Z.; Wei, Y.D.; He, C.; Li, H. Urban land expansion under economic transition in China: A multi-level modeling analysis. Habitat Int. 2015, 47, 69–82. [Google Scholar] [CrossRef]
  36. Zhang, X.J. Study on the Formation and Evolution of Spatial Structure of Coastal Port City in Liaoning Province. Ph.D. Thesis, Liaoning Normal University, Dalian, China, 2002. (In Chinese). [Google Scholar]
  37. Ningbo Urban-Rural Planning Research Center. The General Report of Ningbo City Development Strategy to 2030. In The Compilation of Reports of Ningbo Urban-Rural Planning Research Center; Zheng, S.X., Ed.; Ningbo Urban-Rural Planning Research Center: Ningbo, China, 2011; pp. 1–76. (In Chinese) [Google Scholar]
  38. Hangzhou Government Network. Statistical Bulletins of Hangzhou’s National Economy and Social Development, 2015. Available online: http://www.hangzhou.gov.cn/art/2017/3/10/art_812262_5885634.html (accessed on 7 November 2017). (In Chinese)
  39. Ningbo Municipal Statistics Bureau. Statistical Bulletins of Ningbo’s National Economy and Social Development, 2015. Available online: http://tjj.ningbo.gov.cn/read/20160201/29009.aspx (accessed on 18 October 2017). (In Chinese)
  40. Tang, Y.T.; Chan, F.K.S.; Griffiths, J. City profile: Ningbo. Cities 2015, 42, 97–108. [Google Scholar] [CrossRef]
  41. Ningbo Government Website. Ningbo City’s “New Blueprint” Will Be Vividly Portrayed Soon. Available online: http://gtog.ningbo.gov.cn/art/2017/6/5/art_58_810758.html (accessed on 29 August 2017). (In Chinese)
  42. Ningbo Municipal Statistics Bureau. Ningbo Statistical Yearbooks, 2003–2016; China Statistics Press: Beijing, China, 2003–2016.
  43. Ningbo Municipal Statistics Bureau. Statistical Bulletins of Ningbo’s National Economy and Social Development, 2002–2015. Available online: http://tjj.ningbo.gov.cn/read/board.aspx?id=202&p=2 (accessed on 18 October 2017). (In Chinese)
  44. Shang, Z.Y. The Multi-Scale Study of Urban Spatial Morphological Evolution. Ph.D. Thesis, Nanjing Normal University, Nanjing, China, 2011. (In Chinese). [Google Scholar]
  45. Lu, C.Y. The Study of the Relationship between the Evolutions of Urban Land Structure and Industrial Structure. Ph.D. Thesis, Southwest University, Chongqing, China, 2011. (In Chinese). [Google Scholar]
  46. Hu, H.W.; Wei, B.S.; Shen, X.H.; Li, J.X. Spatiotemporal characteristics of urban land expansion in central area of Shanghai, China. Chin. J. Appl. Ecol. 2013, 24, 3439–3445. [Google Scholar]
  47. Alsharif, A.A.A.; Pradhan, B.; Helmi, Z.M.S.; Mansor, S. Quantitative analysis of urban sprawl in Tripoli using Pearson’s Chi-Square statistics and urban expansion intensity index. In IOP Conference Series: Earth and Environmental Science; IOP Publishing: Bristol, UK, 2014; Volume 20, p. 012006. [Google Scholar]
  48. Wang, H.; Xia, C.; Zhang, A.; Liu, Y.; Sanwei, H.E. Space syntax expand intensity index and its applications to quantitative analysis of urban expansion. Acta Geogr. Sin. 2016, 71, 1302–1314. [Google Scholar]
  49. Anderson, T. Kernel density estimation and K-means clustering to profile road accident hotspots. Accid. Anal. Prev. 2009, 41, 359–364. [Google Scholar] [CrossRef] [PubMed]
  50. Fotheringham, A.S.; Brunsdon, C.; Charlton, M. Quantitative Geography: Perspectives on Spatial Data Analysis; Isaaks, E., Mohan Srivastava, R., Eds.; Sage Publications: Thousand Oaks, CA, USA, 2000; Volume 50, pp. 143–163. [Google Scholar]
  51. Kang, H.; Liu, S. The impact of the 2008 financial crisis on housing prices in China and Taiwan: A quantile regression analysis. Econ. Model. 2014, 42, 356–362. [Google Scholar] [CrossRef]
  52. Fang, M. The Influence of Urban Land Structure on Economic Competitiveness and Empirical Research. Ph.D. Dissertation, Zhejiang University, Hangzhou, China, 2015. (In Chinese). [Google Scholar]
Figure 1. Location of Ningbo’s central city; the yellow line area: the central city; the blue line area: the surrounding counties and cities. Note: the administrative division within Ningbo’s central city was adjusted in 2016, but the overall administrative region of the central city was not changed. As the study period in this paper was 2002–2015, we used the old administrative division.
Figure 1. Location of Ningbo’s central city; the yellow line area: the central city; the blue line area: the surrounding counties and cities. Note: the administrative division within Ningbo’s central city was adjusted in 2016, but the overall administrative region of the central city was not changed. As the study period in this paper was 2002–2015, we used the old administrative division.
Sustainability 09 02374 g001
Figure 2. Figures of expansion intensity indices of UCLE in (a) the whole central city and (b) the port zones in the three periods of 2002–2009, 2010–2015 and 2002–2015.
Figure 2. Figures of expansion intensity indices of UCLE in (a) the whole central city and (b) the port zones in the three periods of 2002–2009, 2010–2015 and 2002–2015.
Sustainability 09 02374 g002
Figure 3. Figures of UCLE in the three periods of 2002–2009, 2010–2015 and 2002–2015.
Figure 3. Figures of UCLE in the three periods of 2002–2009, 2010–2015 and 2002–2015.
Sustainability 09 02374 g003
Figure 4. The sector zoning map of equality fan analysis.
Figure 4. The sector zoning map of equality fan analysis.
Sustainability 09 02374 g004
Figure 5. Rader maps of expansion intensities of urban construction lands in the three periods of 2002–2009, 2010–2015 and 2002–2015.
Figure 5. Rader maps of expansion intensities of urban construction lands in the three periods of 2002–2009, 2010–2015 and 2002–2015.
Sustainability 09 02374 g005
Figure 6. Hotspot maps of UCLE in the three periods of 2002–2009, 2010–2015 and 2002–2015; the red rectangle regions represent the hotspot areas with high expansion densities and large expansion areas. Note: the red rectangles were drawn through visual judgment and Photoshop CS5 software (Adobe, San Jose, CA, USA).
Figure 6. Hotspot maps of UCLE in the three periods of 2002–2009, 2010–2015 and 2002–2015; the red rectangle regions represent the hotspot areas with high expansion densities and large expansion areas. Note: the red rectangles were drawn through visual judgment and Photoshop CS5 software (Adobe, San Jose, CA, USA).
Sustainability 09 02374 g006
Figure 7. Diagram of economy and port developments from 2002 to 2015.
Figure 7. Diagram of economy and port developments from 2002 to 2015.
Sustainability 09 02374 g007
Table 1. Urban construction land classification system.
Table 1. Urban construction land classification system.
The Type of Construction LandDescriptionCorresponding Industry TypeExpansion Area in 2002–2015 (ha)The Proportion of Total Expansion Area (%)
Commercial landLand used for trade, tourism, entertainment and other servicesTertiary industry: wholesale and retail, accommodation and catering, financial industry, commercial service industry, culture, sports and entertainment1711.935.21
Residential landLand used for commercial housings and rural residential landsSecondary industry: construction industry; Tertiary industry: real estate6827.3520.76
Industrial landLand used for factories, storage and logisticsSecondary industry: manufacturing industry, production and supply of electricity, gas and water; Tertiary industry: storage and logistics11,304.8534.37
Public administration and service landLand used for government agency, charity, science and education, public facilities, parks and green spacesTertiary industry: public facilities management, education, health, social security and social welfare, public management and social organization3875.3411.78
Traffic landLand used for highways, railways, ports and piers, streets and alleysTertiary industry: transportation industry7639.6623.23
Other landLand used for water conservancy facilities, special use areas (e.g., religious lands and burial lands)Tertiary industry: water conservancy and other services1528.164.65
Table 2. Area and expansion intensity index of urban construction land expansion (UCLE) in the whole central city.
Table 2. Area and expansion intensity index of urban construction land expansion (UCLE) in the whole central city.
The Type of Urban Construction LandArea (ha)Expansion Intensity Index (%)
2002–20092010–20152002–20152002–20092010–20152002–2015
Commercial land889.98821.951711.930.05300.06860.0549
Residential land3114.943712.416827.350.18560.30970.2191
Industrial land8324.682980.1711,304.850.49610.24860.3627
Public administration and service land2105.591769.753875.340.12550.14760.1243
Traffic land3390.954248.717639.660.20210.35450.2451
Other land813.52714.641528.160.04850.05960.0490
Sum18,639.6614,247.6332,887.291.11071.18861.0553
Table 3. Area and expansion intensity index of UCLE in the port zones.
Table 3. Area and expansion intensity index of UCLE in the port zones.
The Type of Urban Construction LandArea (ha)Expansion Intensity Index (%)
2002–20092010–20152002–20152002–20092010–20152002–2015
Commercial land91.4362.62154.050.04120.03950.0374
Residential land338.57398.07736.640.15260.25110.1787
Industrial land2785.331248.094033.421.25520.78740.9787
Public administration and service land494.25201.51695.760.22270.12710.1688
Traffic land632.92887.0815200.28520.55970.3688
Other land110.6136.06146.670.04980.02270.0356
Sum4453.112833.437286.542.00671.78761.7681

Share and Cite

MDPI and ACS Style

Zheng, Q.; Wang, K.; Huang, L.; Zheng, Q.; Abubakar, G.A. Monitoring the Different Types of Urban Construction Land Expansion (UCLE) in China’s Port City: A Case Study of Ningbo’s Central City. Sustainability 2017, 9, 2374. https://doi.org/10.3390/su9122374

AMA Style

Zheng Q, Wang K, Huang L, Zheng Q, Abubakar GA. Monitoring the Different Types of Urban Construction Land Expansion (UCLE) in China’s Port City: A Case Study of Ningbo’s Central City. Sustainability. 2017; 9(12):2374. https://doi.org/10.3390/su9122374

Chicago/Turabian Style

Zheng, Qing, Ke Wang, Lingyan Huang, Qiming Zheng, and Ghali Abdullahi Abubakar. 2017. "Monitoring the Different Types of Urban Construction Land Expansion (UCLE) in China’s Port City: A Case Study of Ningbo’s Central City" Sustainability 9, no. 12: 2374. https://doi.org/10.3390/su9122374

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop