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Article

Quota Restrictions on Land Use for Decelerating Urban Sprawl of Mega City: A Case Study of Shanghai, China

1
Department of Geographic Information Science, Nanjing University, Nanjing 210023, China
2
Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China
*
Author to whom correspondence should be addressed.
Sustainability 2016, 8(10), 968; https://doi.org/10.3390/su8100968
Submission received: 14 July 2016 / Revised: 13 September 2016 / Accepted: 20 September 2016 / Published: 22 September 2016
(This article belongs to the Special Issue Urban Sustainability and Planning Support Systems)

Abstract

:
The mega cities of China are faced with great pressure from conflict between huge land demand for construction use and limited resources. To improve this situation, it is necessary to slow the increasing rate of built-up land and even reduce the existing built-up land by improving land use efficiency. Herein, land use planning with urban sprawl deceleration is proposed. Land quotas are important tools for the control of land use planning in China, but the current quotas are mainly in the form of increment, thus cannot support land use planning with urban sprawl deceleration. To address these issues, we developed a model named “current-plan-requirement response (CPRR)”, to optimize the land quotas. With this model, we investigated the current status of land use, the process of land use planning, and the requirements of land use planning with urban sprawl deceleration in Shanghai. It was found that the current land quotas have provided somewhat inhabited conversion of arable land to built-up land, but scarcely any regulation of land use efficiency or protection of natural environment. Then, the land quotas were optimized and quota management recommendations were made. The optimized land quotas included four aspects of quotas: arable land protection, ecological conservation, scale constraint on built-up land and economical and intensive land use. These new land quotas could be used to guide reduction of built-up land and increase ecological land in China’s mega cities. It might also be beneficial for easing conflict between supply and demand of built-up land, for building an eco-friendly city land-use structure.

1. Introduction

The world is undergoing rapid urbanization, and the level of global urbanization is expected to reach 70% in the next 40 years [1]. During this process, the built-up areas of mega cities in developing countries continuously sprawl [2,3,4]. China has been one of the world’s fastest growing economies in the last decade. Cities in China ensure their urban development by increasing the built-up land. Extensive expansion of urban areas has taken up large areas of arable land and ecological land. It has significant impacts upon the food security and ecological environment [5,6,7,8,9]. Therefore, contradictions between urban development and environmental protection have become increasingly serious, especially in China’s mega cities [10,11,12]. Meanwhile, the utilization efficiency of urban land has not improved; rather, it has actually declined [13,14]. Therefore, better management and control of large-scale urban land use for intensive and sustainable development is very important in China’s mega cities.
In China, the land quotas have become important tool of land resource management. The land quotas used by China nowadays aim to protect arable land and constrain built-up land [15,16,17]. The land quotas are determined according to the trend of social and economic development, and are allocated from top to bottom. The central government determines the land quotas of each province, and each provincial government determines the land quotas of each city in its administrative area. When land use planning is made, land quotas for about 15 years are set for each administrative area. During the implementation of land use planning, the upper level of governments will issue the annual land quotas to the lower governments at the beginning of every year. This means that the amount of each land quota is divided into the amount for every year during the planning period [18,19]. By quantitatively studying the development targets of land use, and guiding the structure and distribution of land use with quotas, limited land resources can be allocated both temporally and spatially. The land resources in China are extremely limited and governmental administrative power is highly centralized, making allocative planning that focuses on mandatory quotas more suitable for the national conditions of China [20,21]. However, local governments want to strive for land quota to expand built-up areas and do not fully comply with regulations that control urban sprawl. In such cases, the effect of land use planning is lower than anticipated, and the sustainability of land use is threatened [22,23].
Given this situation, China’s mega cities, such as Shanghai, Shenzhen, and Beijing, have all proposed land use planning with urban sprawl deceleration. The cities attempt to lower the increasing rate of built-up land, and encourage the change of land use mode from continuous increase of built-up land to renewing the inefficient built-up land [24,25,26]. The indices and their values of current land quotas are determined at the time of making land use planning and are static during the planning period. It cannot adapt to the change of new situation. Thus, it is necessary to re-examine and rethink the effects of the current land quotas, and to seek a method to evaluate the status of planning implement and adjust land quotas if necessary.
In this study, the city of Shanghai was taken as a case. By comprehensively considering the current status of land use, the process of land use planning, and the requirements of land use planning with urban sprawl deceleration, a “current-plan-requirement response (CPRR)” model was developed. Using this model, the effectiveness of current land quotas for Shanghai was evaluated and their weakness summarized. Then, a new land quota system that is more suitable for land use planning with urban sprawl deceleration was proposed. From the perspective of protection (ecological resource) and control (built-up land scale), we designed four categories of land quotas with respect to arable land protection, ecological conservation, scale constraint on built-up land, and economical and intensive land use. The management of land quotas for land use planning with urban sprawl deceleration was explored to guide land use for mega cities.

2. Study Area and Data Sources

2.1. Study Area

Shanghai is located at latitude 30°40’ to 31°53’N, and longitude 120°52’ to 122°12’E. It is bound by the Yangtze River Delta and the East China Sea to its east, Jiangsu Province to the west and Zhejiang Province to the south (Figure 1). Shanghai is the central city of China’s largest economic zone, the “Yangtze River Delta economic circle” [27]. Shanghai stands on part of the alluvial plain of the Yangtze River Delta. It averages four meters above sea level and encompasses a total area of 8359 km2, of which the land area is 6833 km2. Its gross domestic product (GDP) recently reached 2356.77 billion Chinese Yuan (CNY) and its total population was 24.25 million in 2014 [28].
Shanghai, as an international metropolis and economic center of China, is the top mega city in China. There is intense conflict between the demand for land to support rapid urbanization and the limited supply of land resources. Extensive and rapid economic development has initiated a series of consequences, and problems of land use are representative of those in China, and in other parts of the world [29,30]. According to the annual land use change survey data, there was 1880 km2 of arable land in Shanghai in 2013, which was less than that planned by the State Council to Shanghai. The remaining land actually available for construction was only 153 km2, which is close to the upper limit of the total planned area of built-up land. From an ecological perspective, the forest coverage in Shanghai was only 13.13%, lower than the national average of 21.6% [31].

2.2. Data Sources

The data used in this study include the data of land use status of Shanghai in 2009 and 2013, the general land use planning of Shanghai (2006–2020), and the map of general land use planning of Shanghai (2006–2020), which were all provided by the Shanghai Planning and Land Resource Administration Bureau (Table 1). According to the findings suggested by Liu [32], in this study, the current status of land use of Shanghai was considered and the land use data of different years were grouped into five categories: arable land, built-up land, forest and orchard, waters, and unused land.

3. Methods

3.1. Basic Idea and Framework of the CPRR Model

The targets of land use control change with the development of social economic and the constraint of land resources. Land quotas should be based on solving the existing problems of land use and should be adjusted according to the process and new requirements of planning, to ensure that the land quotas are applicable for the targets of planning. Based on this, the CPRR model was developed for this study. The model consisted of four modules: analysis of current status of land use, assessment of current land use planning, requirements analysis of land use planning with urban sprawl deceleration, and optimization of the land quotas for land use planning with urban sprawl deceleration (Figure 2). By analyzing land use changes, one can gain insights into the features of current status of land use. Thereafter, this is useful for evaluating implementation of land use planning and for summarizing the benefits and shortcomings of the current land quotas. Combining this background information with the requirements of land use planning with urban sprawl deceleration, an optimized land quota system could be build up.

3.2. Analysis of Land Use Changes

Data about land use status in different years are compared to analyze changes of land use within the study period, and to provide supporting information for evaluating the utilization of land quotas. The transition matrix of land use reflects the dynamic process of various land use types in a certain area between the beginning and end of a certain period [33,34]. The general formula of a transition matrix of land use is:
S i j = [ S 11 S 21 S 12 S 22 S 1 n S 2 n S n 1 S n 2 S n n ]
where n is the number of land use types; i and j represent land use types before and after transition, respectively; and Sij is the area of land use j transited from land use i. Each line in the matrix represents flow information during transition from land use i to various types of land use. Each column in the matrix represents source information during transition from various types of land use to land use j.

3.3. Evaluation of Land Quota Use

The utilization of land quotas can be measured by comparing the actual scale of the land use type at the time of evaluation to the original land scale, and to the planned land scale [35]. Comparison of the actual scale of the land use type to the planned scale can intuitively reflect the completion status of a quota. The degree of completion of the quota is calculated by Equation (2). The comparison of the actual scale of the land use type to the original scale can enable us to better understand the use rate of the quota in detail; the formula is shown in Equation (3).
P i = x i u 1
Z i = x i u i
where Pi is the degree of completion of the quota at the time of evaluation; Zi denotes the use rate of quota relative to the planned rate; xi is the actual scale of land use type at the time of evaluation; u1 is the planned scale of this land type in the target year; and ui is the target scale at the time of evaluation. If Zi is equal to one, it indicates that the rate of quota use is in line with expectations; if less than one, it indicates a slower use rate than expected; and if greater than one, it indicates that the quota use is faster than expected.
The planned target at the time of evaluation is estimated by the total scale of land use during the planning period. Assuming that the time of evaluation is year i, and that the planning period is from 2006 to 2020, the formula is shown in Equation (4).
u i = u 0 + ( u 1 u 0 ) × i 2006 2020 2006 + 1
where u0 is the scale of this land use type in the base period.

4. Results and Discussion

4.1. Analysis of the Current Land Quota System in Shanghai

4.1.1. The Current Status of Land Use in Shanghai

According to the analysis of changes in arable land, built-up land, forest and orchard, waters, and unused land between 2009 and 2013 (Table 2), and to the transition matrix between land use types (Table 3), the features associated with land use changes between 2009 and 2013 in Shanghai can be summarized as follows.
(1) Constant Decrease in Arable Land
A notable feature of the land use change in Shanghai is a continuous decrease in the area of arable land. From 2009 to 2013, the area of arable land in Shanghai decreased from 1897.72 to 1861.84 km2. During this period, the loss of arable land was 126.70 km2. Of the area lost, 108.96 km2 became built-up land, accounting for 86.00% of the total reduction of arable land. Additional loss of arable land was attributed to 1.08 km2, 15.81 km2, and 0.85 km2 converted to forest and orchard, waters, and unused land, respectively. Meanwhile, 41.09 km2 of forest and orchard, 19.33 km2 of waters, and 0.26 km2 of unused land were changed to arable land. Several factors contributed to the decrease in the area of arable land in Shanghai (e.g., structural adjustment of agriculture and ecological set-asides of arable land). The main factor was excessive use of arable land for construction.
(2) Rapid Sprawl of Built-up Land
In contrast to the decrease in the area of arable land, the other notable feature of the land use in Shanghai was the increase in the area of built-up land. The amount of built-up land in Shanghai increased from 2830.11 km2 to 3054.66 km2 between 2009 and 2013. During this period, there were interactive changes among built-up land, forest and orchard, waters, and unused land. The net areas converted from arable land, forest and orchard, waters, and unused land, to built-up land were 94.72, 60.81, 24.30, and 8.05 km2, respectively. The main source for the increase of built-up land was arable land; however, some forest and orchard, and waters became built-up land as well.
(3) Gradual Shrinkage of Ecological Land
There was a trend of decrease in the area of forest and orchard, and waters among ecological lands between 2009 and 2013. The net losses for forest and orchard, and for waters, were 21.46 and 63.52 km2, respectively. The changes between waters, arable land, and built-up land were intensive. Waters changed to and from arable land were up to 19.33 and 15.81 km2, respectively. Waters changed to and from built-up land were up to 34.47 and 10.17 km2, respectively. Meanwhile, 29.15 km2 of waters became unused land. This is closely related to the invasion of rivers, lakes, and ponds due to land rehabilitation and development of new construction.
From 2009 to 2013, the overall trend in land use change in Shanghai was expansion of built-up land, and decrease of arable and ecological land. This also reflects the rapid development of urbanization in Shanghai. With the continuation of urban construction, land use in Shanghai faces the following dilemma: the demand for built-up land maintains high, and the conflict between land supply and demand remains acute. In response, the expansion of built-up land takes up arable land existing around cities and thus causes continuous decrease in the area of arable land. The protection of arable land is in a tough situation. Moreover, the expansion of urban areas takes up scarce ecological space and ecological protection is under great pressure. Therefore, there is an urgent need to implement land use planning with urban sprawl deceleration and to change the extensive land use model in order to improve land use efficiency, and to protect important ecological resources.

4.1.2. The Current Land Quotas of Shanghai

In total, thirteen land quotas were set in the general land use planning of Shanghai (from 2006 to 2020) (Table 4) to adjust the structure of land use. The following two features can be seen from the current land quotas of Shanghai.
(1) Highlight particular protection of arable land
There are four quotas related to arable land protection (i.e., arable land area, prime farmland area, occupied arable land area due to new construction, and arable land area converted from land consolidation and reclamation, highlighted with yellow in Table 4). Among these, the arable land area and prime farmland area are the two total-amount quotas that are considered important assessment indices for the responsibility system targeting protection of arable land. They explicitly state the area of protected arable land in a target year and the area of retained prime farmland at any time during the planning period. The occupied arable land area due to new construction and arable land area converted from land consolidation and reclamation are two interactive quotas. They reflect the need for equilibrium between occupied and compensated arable land.
(2) Highlight the constraint on built-up land
Four quotas related to built-up land (i.e., total area of built-up land, urban and rural built-up land area, urban industrial land area, and new increase of built-up land area, highlighted with blue in Table 4) set constraints from the perspective of total and incremental amounts of built-up land. They also put constraints on the scale of different kinds of built-up lands (i.e., urban, independent industrial and rural built-up lands).
In addition, the planning sets a few quotas related to ecological protection (forest area, orchard area, and grassland area) and land use efficiency (per-capita urban industrial land) [36].

4.1.3. Effect of the Current Land Quotas of Shanghai

Comparison of the change in land use of Shanghai and current planning targets show that, until 2013, the land quotas played a role in adjusting the land use structure to a certain degree. However, a few weaknesses were exposed as well.
Regarding arable land, although the current amount of arable land in 2013 was already lower than the target scale of protected arable land in 2020 and the quota for arable land area has been broken, the annual reduction in arable land has slowed. Studies have suggested that the current land quotas play a positive management role. According to the general land use planning of Shanghai (from 2006 to 2020), until 2020, the scale of protected arable land must be >2493 km2. This goal was drawn based on the arable land area of 2731 km2 in the year 2005, when the plan was first made. The results of the second survey of land use change show that the actual scale of protected arable land is lower than the current target scale and even lower than the limit set for the end of the planning period. Therefore, the goal set for the area of protected arable land in 2020 is obviously unreasonable and breaking the quota is inevitable. During the implementation of planning, the area of arable land decreased 833.28 km2 between 2006 and 2009, and decreased 35.88 km2 between 2009 and 2013. The annual average rate of decrease in arable land is clearly slowing down. It can be seen that quotas like arable land area played a controlling role to at least some extent.
Regarding built-up land, the current land quotas limit the expansion of built-up land to a certain degree. The quota for the total area of built-up land has not been broken yet. However, the rate of increase in built-up land was much higher than expected. The current land quota requires that until 2020, the total area of built-up land in Shanghai should not exceed 3226 km2. By 2013 the total area of built-up land had reached 96% of the quota. The actual remaining space for built-up land for the whole city is only 153 km2, approaching the upper limit of built-up land. Compared with the quota intended for the time of evaluation, the built-up land scale has reached 110% of the quota. This is higher than expected. If this rate of increase continues, the scale of built-up land in 2020 will exceed the planned scale. Facing the reality of “limited quota, huge demand”, Shanghai must continue to control the total scale of built-up land and also improve the efficiency of use on built-up land. Shanghai must revisit the current stock of built-up land, which includes land that was been approved as built-up land, but not actually used, and low-efficiency built-up land for which the building density and capacity volume ratio are lower than industry standards. The land use style should be updated to meet the future needs of development in Shanghai [37,38,39].
Regarding ecological land, the quotas for forest and orchard area have been broken. The current land quotas cannot provide adequate protection for waters and wetlands that play important ecological roles. In Shanghai, the land quotas relevant to ecological land are only arable land area, orchard area, forest area, and grassland area (although the quota for grassland area is zero). Except for the quota of arable land area, the other quotas are all anticipated to have high risk of being broken. The degree of completion and use for forest and orchard quotas is not ideal. The effect of management and control from land quotas is weak. According to the analysis of land use change between 2009 and 2013, the area of ecological land decreased annually by 24.94 km2. On the other hand, among the current ecological lands, a large proportion is arable land and small proportions are wetland, forest, and orchard. The current composition of ecological land is irrational.

4.2. Optimization of a Land Quota System for Land Use Planning with Urban Sprawl Deceleration

4.2.1. Requirements Analysis of Land Use Planning with Urban Sprawl Deceleration

Land use planning with urban sprawl deceleration is a land use planning designed to lower the increasing rate of built-up land, and is a concrete implementation of China’s new-type urban construction and ecological conservation. Facing the increasingly prevalent “urban disease” problem, the new-type urbanization needs improved land utilization to avoid continuous expansion of urban areas, and needs change in the urban land use patterns. The government needs to upgrade and reform industrial structures and improve the economic use of land, aiming to preserve some land resources and to use land intensively. In the meantime, it is necessary to reclaim industrial lands featuring industries with backward production capacity, serious pollution, security risks, and low profit level. On the other hand, in order to create a productive, healthful living environment, it is necessary to expand urban ecological space, increase the area of forest and wetland, and build reasonable green ecological corridors in the urbanized area while holding the red line for protection of arable land [40,41].
Therefore, three goals of land use planning with urban sprawl deceleration can be summarized: control the scale of built-up land, protect arable land, and increase ecological land. First, land use planning with urban sprawl deceleration requires control of the scale of built-up land and gradual reduction in the supply of built-up land. It also guides the outward expansion of built-up land towards exploring the potential of stock built-up land, and promotes the transition from extensive and inefficient to intensive and efficient [26]. Moreover, serious protection of arable land and prime farmland must continue. By improving the quality of arable land and prime farmland, the threat from built-up land expansion caused by economic and social development can be mitigated and food security can be guaranteed. In addition, ecological conservation must be promoted. Important ecological elements like forest, waters, and wetlands must be protected from occupation.

4.2.2. Optimal Design of a Land Quota System for Land Use Planning with Urban Sprawl Deceleration

In order to build a land quota system that suits China’s new-type urbanization construction, it is necessary to consider the effect of the current land quotas and the requirements of land use planning with urban sprawl deceleration. The performance and weakness of the current land quotas must be examined. Combining the requirements of land use planning with urban sprawl deceleration with respect to different land use problems, the retention, increase, or removal of quotas can be determined.
Comparing the current situation of land use planning with the requirements of land use planning with urban sprawl deceleration, there are four possible scenarios (Figure 3). The first scenario is that quotas of the current land use planning have positive effects on the adjustment and control of the land use problem, and land use planning with urban sprawl deceleration also strives to solve this land use problem. In this case, the relevant quotas of the current land quota system must be kept. The second scenario is that the adjustment and control effect from the current land quotas for land use problem is too weak and perhaps not even positive. However, the requirement from land use planning with urban sprawl deceleration has great focus on the land use problem, so relevant quotas must be added. In the third scenario, the adjustment and control effect from the current land quotas for land use problem is too weak and not positive. This problem is not acute in land use planning with urban sprawl deceleration. Redundant quotas can be removed. In the fourth scenario, the adjustment and control effect from the current land quotas for land use problem is positive. This land use problem is not acute in land use planning with urban sprawl deceleration. Quotas of the current land quota system can be kept.
The Shanghai land quota system for land use planning with urban sprawl deceleration achieves quantity reduction of built-up land by arranging the land use structure. The basic concept is to protect ecological resources and control the scale of built-up land. Protection of ecological resources involves protection of arable land and emphasis on ecological conservation. Constraint on built-up land involves controlling the scale of built-up land and improving land use efficiency. Therefore, studies have been done to optimize land quota system with respect to arable land protection, ecological conservation, scale constraint on built-up land, and economical and intensive land use. In addition, in order to reflect the effect and degree of importance of different land quotas, quotas are classified as three types: controlling quotas, guiding quotas, and verifying quotas. Controlling quotas represent the highest willingness to adjust and control in land use planning. They are bottom line quotas, which must be accomplished, and are used to guarantee the execution of planning intentions. Guiding quotas are relatively flexible quotas to promote the accomplishment of planning targets. The mechanism of land use change is extremely complicated and involves progress in diverse economic social activities, so the value of guiding quotas cannot be accurately determined. Verifying quotas are difficult to be disaggregated, and are considered here to examine the implementation of planning (Figure 4).

4.2.3. Land Quota System for Land Use Planning with Urban Sprawl Deceleration

According to the results from comparison of the control effect of the current land quotas in Shanghai, and the requirements of land use planning with urban sprawl deceleration, in this study the land quota system was optimized, and the optimal results are shown in Table 5.
Regarding the arable land, the current planning is centered on arable land protection, and the land quotas also play a positive role. Land use planning with urban sprawl deceleration requires continuous protection of arable land. Thus, from three aspects (total arable land scale control, quality control, and supplementary control), the current quotas are retained: arable land area, permanently prime farmland area, arable land area converted from land consolidation and reclamation; and a quota for the quality level of arable land is added. During the implementation of land use planning with urban sprawl deceleration, the annual controlling target area of arable land and permanently prime farmland should be set. The annual evaluation mechanisms for protection of arable land area should be established to ensure the target area of arable land, and to provide an orderly increase in high quality arable land. Meanwhile, the quota for arable land area converted from land consolidation and reclamation guides inefficient land management, development, and land reclamation activities, to supplement arable land. The quality level of the arable land quota is used for examining the change in arable land quality under the control of land quotas, to protect the production capacity of arable land. In addition, land use planning with urban sprawl deceleration also removes the original quota for occupied arable land area due to new construction, and occupied farmland area due to new construction. Because the core of land use planning with urban sprawl deceleration is reduction of built-up land, new increase of switching arable land or farmland to built-up land should no longer occur.
Regarding the ecological environment, the existing land quotas have weak effect on ecological land protection. Ecological land has been severely taken over by built-up land, while one of the primary objectives of land use planning with urban sprawl deceleration is to protect ecological resources from occupation by improving conservative, intensive land use. Therefore, from the vital elements of ecological resources, the original quotas for forest area and orchard area are merged into one quota for forest and orchard area. Quotas for water and wetland area, the downtown public green space area, and ecological land in proportion to the total land area are added. Quotas for forest area and orchard area in the current planning are too detailed, resulting in the problem of obscurity in definition. This study suggests that the merged forest and orchard area quota favors increasing ecological resources by constructing forest and orchard areas. In addition, the current planning takes the forest area quota and orchard area quota as an anticipated quota, which is not included in the planning implementation evaluation. The quota control is weak with high risk of break, thus it is considered a controlling quota in land use planning with urban sprawl deceleration (equivalent to an obligatory quota in the current planning) in order to emphasize the importance of the protection of forest and orchard resources. The downtown public green space area is used as a guiding quota, which helps enhance the downtown green area and increase the public perception of ecological area. The water and wetland area quota is used as a controlling quota, effectively protecting rivers, lakes, and ponds against arbitrary occupation and ensuring orderly development of coastal beaches. Land use planning with urban sprawl deceleration has also removed the original grassland area quota. There is no grassland in the structure of agricultural land in Shanghai, thus the value of this quota is always zero in the current plan, giving it no controlling effect.
Regarding the built-up land, the current land quotas show a positive effect on scale constraint on built-up land. Land use planning with urban sprawl deceleration requires strict control of built-up land scale as well. Thus, from the perspective of total scale and structure control, these quotas should be retained: the total area of built-up land, urban and rural built-up land area, and urban industrial land area. During implementation of land use planning with urban sprawl deceleration, the total area of the urban and rural built-up land; including urban, independent mining, and rural land, should be controlled; and inefficient use of land for construction should be curbed. The area of urban industrial land should be determined based on scientific estimates of population size and the urbanization level. At the same time, land use planning with urban sprawl deceleration no longer sets a quota for new increase of built-up land area, requiring urban development to repurpose built-up land from stock land.
Regarding land use efficiency, the current land quota only measures the efficiency of urban industrial land in terms of per-capita urban industrial land, and has weak potential for control. The most prominent feature of land use planning with urban sprawl deceleration is to tap the potential of repurposing stock land for construction and to focus on economical and intensive land use, leading to reduction of the built-up land scale. Therefore, from the point of view of reduction of built-up land, this quota should be retained: per-capita urban industrial land quota. Quotas should be added: per-capita rural residential land, reduction of inefficient built-up land, and GDP per unit area of built-up land. Under the circumstance of insufficient reserve for built-up land, the excessive expansion of urban land has to be strictly controlled. On the premise that per-capita urban industrial land does not break the land quota, requisite land for urban development has to be provided. On the premise that per-capita rural residential land does not break the land quota, agricultural production and built-up land for farmer living space have to be guaranteed. Support is needed for rural roads, water conservancy, and other infrastructure construction as well as land for education, health, and civil affairs. In an orderly manner, one should promote moderate concentration of dispersed rural settlements, and scientific layout of rural residential communities. When using the reduction of inefficient built-up land quota, it should be linked to the policy of dynamic balance between urban and rural built-up land, to define the plan of inefficient built-up land consolidation and reclamation. These can enable us to disuse inefficient industrial land with high energy consumption and high pollution, gradually reducing the scale of built-up land, and leading people moving towards towns and cities, as well as industry to concentrate in industrial areas (Figure 5).

5. Conclusions

Land quotas have become important tools of land resource management. However, the indices and their values of current land quotas are determined at the time of making land use planning and are static during the planning period. They cannot adapt to new situations. Therefore, the CPRR model was developed in this study to assess the effect of the current land quota system and to propose optimization suggestions for land quota system of land use planning with urban sprawl deceleration. This provided a useful exploration of sustainable land use in mega cities. The main conclusions are as follows.
(1) The current land quotas in China plays a certain role in protection of arable land and control of built-up land, but the land quotas focus on quantitative evaluation of arable land protection and scale constraint on built-up land. Quotas lack regulation of the stock build-up land, and of intensive utilization of land. They are also weak on the protection of ecological land.
(2) Land use planning with urban sprawl deceleration is intended to control the sprawl of built-up area and to ensure sustainable development. It leads to a new land use mode for coordinated development of the economy and environment. The land quotas for land use planning with urban sprawl deceleration should include four categories of quotas (arable land protection, ecological conservation, scale constraint on built-up land, and economical and intensive land use) to achieve reduction of built-up land and increment of ecological land by rearranging land use structure.
(3) The CPRR Model has the advantages of tracking land use problems and analyzing the process and requirements of land use planning timely, making it capable of adjusting the land quotas dynamically. The model was applied in the optimization of land quotas in Shanghai. Theoretically, it is also suitable for other mega cities that1 have similar land use problems and requirements of the land use planning.
Besides the land use planning, there are other plans such as urban master planning and environmental protection planning. All of these plans tend to fuse into one space planning, and categories of the quota system should include land use, social development, and environmental development. This study only focused on land use planning and the land quotas eventually implemented into the land use types. In the future, considering other spatial planning, the quota system should adjust and control industry, population, public services, infrastructure, ecology, and agricultural layout; ultimately improving the urban environment in mega cities.

Acknowledgments

This work was supported by the National Natural Science Foundation of China (No. 41571378), the Special Research Fund of China Land Surveying and Planning Institute (No. 2016-63-3), the Special Research Fund of the Ministry of Land and Resources for Non-Profit Sector (No. 201411014-03), and the Technological Innovation for Land Use Planning Compilation of Shanghai (2015(07-002CF)-07). Sincere thanks are given for the comments and contributions of the anonymous reviewers and members of the editorial team.

Author Contributions

All authors contributed to this work. In particular, Yunqian Zhang had the original idea for the study, and coauthors conceived and designed the experiments. Qianwen Cheng analyzed the data. Yunqian Zhang drafted the manuscript, which was revised by Zhenjie Chen, Chen Zhou, Penghui Jiang, Manchun Li and Dong Chen. All authors have read and approved the final manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. The study area.
Figure 1. The study area.
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Figure 2. Framework of the CPRR model.
Figure 2. Framework of the CPRR model.
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Figure 3. Schematic view of the optimization of land quota system.
Figure 3. Schematic view of the optimization of land quota system.
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Figure 4. Framework of land quota system for land use planning with urban sprawl deceleration.
Figure 4. Framework of land quota system for land use planning with urban sprawl deceleration.
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Figure 5. Schematic view of the spatial distribution of main land quotas: (a) spatial distribution of arable land area quota; (b) spatial distribution of ecological land area quota; and (c) spatial distribution of built-up land area.
Figure 5. Schematic view of the spatial distribution of main land quotas: (a) spatial distribution of arable land area quota; (b) spatial distribution of ecological land area quota; and (c) spatial distribution of built-up land area.
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Table 1. Basic description of data sources used in this study.
Table 1. Basic description of data sources used in this study.
DataFormatContents
Data of land use status of Shanghai in 2009ESRI ShapefileShapefile data range is 8132.79 km2, including arable land, orchard, forest, other agricultural land, urban land, urban and rural built-up land, land for roads, land for railway, land for airport, port land, pipeline transportation land, water conservancy, hydraulic construction sites, other built-up land, waters, river water and natural reserved land, in total 17 types of land.
Data of land use status of Shanghai in 2013ESRI ShapefileShapefile data range is 8132.79 km2, including arable land, orchard, forest, other agricultural land, commercial use land, industrial storage sites, public facility land, public built-up land, residential land, transportation land, hydraulic construction sites, special land, unused land and other lands, in total 15 types of land
The general land use planning of Shanghai (2006–2020)TextText data includes planning information: the current status of land use, the strategic aims and overall distribution of land use, table of major land use planning quotas, table of land use structure adjustment, etc.
Map of the general land use planning of Shanghai (2006–2020)ESRI ShapefileShapefile data includes spatial distribution information of planned arable land, orchard, forest, water aquaculture, other agricultural land, urban industrial land, rural residential land, transportation land, waters, beaches and other unused land.
Table 2. Area and percentage of different land use of Shanghai in 2009 and 2013.
Table 2. Area and percentage of different land use of Shanghai in 2009 and 2013.
Types of Land Use20092013
Area (km2)Percentage (%)Area (km2)Percentage (%)
Arable land1897.7223.331861.8422.89
Built-up land2830.1134.783054.6637.56
Forest and orchard320.683.94299.223.68
Waters1952.7824.001889.2623.23
Unused land29.400.3650.510.62
Table 3. Transition matrix of land use of Shanghai in 2009 and 2013 *.
Table 3. Transition matrix of land use of Shanghai in 2009 and 2013 *.
2013Arable LandConstruction LandForest and OrchardWatersUnused Land
2009
Arable land1730.63108.961.0815.810.85
Built-up land14.242786.142.4210.170.46
Forest and orchard41.0963.23178.6217.880.07
Waters19.3334.471.571856.1429.36
Unused land0.268.510.010.2120.16
* Note: The area unit is km2.
Table 4. Land quota system of Shanghai (2006–2020) and status by 2013 *.
Table 4. Land quota system of Shanghai (2006–2020) and status by 2013 *.
QuotaQuota PropertiesScale of Base Period 2005Target Scale by 2020Actual Scale by 2013Completion Degree of Quota (Pi)Use Rate of Quota (Zi)
Arable land areaObligatory/lower limit2731.002493.001861.8475%71%
Prime farmland areaObligatory/lower limit2148.002187.00///
Orchard areaObligatory/lower limit111.00150.00299.2271%82%
Forest areaAnticipated/lower limit207.00272.00
Grassland areaAnticipated/lower limit0.000.00///
Total area of built-uplandAnticipated/upper limit2401.003226.003054.6696%110%
Urban and rural built-up land areaObligatory/upper limit2170.002600.00///
Urban industrial land areaAnticipated/upper limit1612.002200.00///
New increase of built-up land areaAnticipated/upper limit/869.00///
Occupied farmland area due to new constructionAnticipated/upper limit/650.00///
Occupied arable land area due to new constructionObligatory/upper limit/452.00///
Arable land area converted from consolidation and reclamationObligatory/lower limit/452.00///
Per-capita urban industrial land (m2)Obligatory/upper limit102.00110.00///
* Notes: The land quotas are divided into upper limit quotas and lower limit quotas, upper limit quota is the highest scale that cannot be broken through and the lower quota is the minimum reserved scale. It means that the lower limit quota has been broken when Pi is less than one. Area unit = km2.
Table 5. Description of land quota system for land use planning with urban sprawl deceleration.
Table 5. Description of land quota system for land use planning with urban sprawl deceleration.
CategoriesQuota NameReason for Selection
1 Arable land protectionArable land area
  • Protect the total area of arable land
Permanently prime farmland area
  • Protect high-quality arable land, and its resiliency constrains the expansion of urban land [42,43]
Arable land converted from land consolidation and reclamation
  • Guide inefficient land remediation activities to supplement arable land
Quality level of arable land
  • Examine the change in quality of arable land under the control of land quotas, to guarantee arable production capacity
2 Ecological conservationForest and orchard area
  • Percentage of forest coverage in Shanghai is 13.13% in 2013, lower than national level of 21.6% and far below the international developed city level of 40%–60%; need to improve the ecological environment through afforestation [31]
Water and wetland area
  • Water and wetland area in Shanghai has been reduced by 114 km2 partly because of the supplement of arable land in 2009–2013 and urgently need protection
Downtown public green space area
  • The green land and forest in Shanghai is mainly located in exurban area, while area of the green land in downtown and suburb area is relatively small and is dislocated by populated area; ecological environment downtown needs to be improved [31]
Ecological land proportional to the total land area
  • Reflect the overall scale of ecological resources and examine the effect of ecological environment construction
3 Scale constraint on built-up landTotal area of built-up land
  • Limit the total area of built-up land
Urban and rural built-up land area
  • Constrain disordered sprawl of urban and rural built-up land
Urban industrial land area
  • Urban industrial land area in Shanghai is about 70% of the total area of built-up land in 2013, in the meanwhile, there is extensive and serious waste of land, thus the structure of built-up land need to be adjusted
4 Economic and intensive land usePer-capita urban industrial land
  • Control rapid expansion of urban land, ensure coordinated development of land and population urbanization
Per-capita rural residential land
  • Shanghai currently has many large rural homesteads, rural built-up land per capita is excessive and is used extensively, thus the efficiency of rural land use need to be improved
Reduction of inefficient built-up land
  • Revitalize the stock built-up land to make room for the development of construction
GDP per unit area of built-up land
  • Measure the output efficiency of the regional built-up land, reflect the land use intensity

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MDPI and ACS Style

Zhang, Y.; Chen, Z.; Cheng, Q.; Zhou, C.; Jiang, P.; Li, M.; Chen, D. Quota Restrictions on Land Use for Decelerating Urban Sprawl of Mega City: A Case Study of Shanghai, China. Sustainability 2016, 8, 968. https://doi.org/10.3390/su8100968

AMA Style

Zhang Y, Chen Z, Cheng Q, Zhou C, Jiang P, Li M, Chen D. Quota Restrictions on Land Use for Decelerating Urban Sprawl of Mega City: A Case Study of Shanghai, China. Sustainability. 2016; 8(10):968. https://doi.org/10.3390/su8100968

Chicago/Turabian Style

Zhang, Yunqian, Zhenjie Chen, Qianwen Cheng, Chen Zhou, Penghui Jiang, Manchun Li, and Dong Chen. 2016. "Quota Restrictions on Land Use for Decelerating Urban Sprawl of Mega City: A Case Study of Shanghai, China" Sustainability 8, no. 10: 968. https://doi.org/10.3390/su8100968

APA Style

Zhang, Y., Chen, Z., Cheng, Q., Zhou, C., Jiang, P., Li, M., & Chen, D. (2016). Quota Restrictions on Land Use for Decelerating Urban Sprawl of Mega City: A Case Study of Shanghai, China. Sustainability, 8(10), 968. https://doi.org/10.3390/su8100968

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