CN116090737A

CN116090737A - Method for dividing types of industrial land in whole process based on feature evaluation

Info

Publication number: CN116090737A
Application number: CN202211500000.9A
Authority: CN
Inventors: 潘珂; 桑劲; 徐樑; 赵玉奇; 林玉; 孔诗雨; 郭世龙; 孙江岳; 徐云耘
Original assignee: Guangzhou Urban Planning Survey and Design Institute
Current assignee: Guangzhou Urban Planning Survey and Design Institute
Priority date: 2022-11-28
Filing date: 2022-11-28
Publication date: 2023-05-09

Abstract

The invention discloses a method for dividing the type of an overall process industrial land based on feature evaluation, which comprises the following steps: s1, defining an industrial land investigation base map, and compiling the industrial land investigation base map; s2, constructing an industrial land feature evaluation index system; s3, investigation of industrial land information and industrial enterprise information in a form of double investigation of industrial land and industrial enterprise; s4, quantifying an evaluation index according to the industrial land information and the industrial enterprise information by using an index calculation method; s5, determining index weight of the characteristic evaluation of the industrial land by using a principal component analysis method, and calculating characteristic dimension evaluation scores of the industrial land according to the quantized evaluation indexes and the index weight; s6, dividing the industrial land into seven industrial land types according to the evaluation scores and based on the land characteristics. The method can accurately and effectively identify the use characteristics of the industrial land and the development state of enterprises, and is helpful for providing a targeted treatment mode.

Description

Method for dividing types of industrial land in whole process based on feature evaluation

Technical Field

The invention relates to the field of land division, in particular to a method for dividing the type of industrial land in the whole process based on characteristic evaluation.

Background

At present, the economic development of China is changed from a high-speed growth stage to a high-quality development stage, and the economic development needs to realize quality change, efficiency change and power change, so that the realization of industrial high-quality development is a key point for effectively promoting the economic high-quality development. Under the background, all places face the requirements of tight restriction of construction land and intensive and fine utilization of land, so that the industrial land improvement taking the disc survival amount of industrial space resources as the core for improving the production performance of industrial land becomes an exploration focus for promoting the development of industry with high quality, and is also an important space treatment means for realizing the development requirement in a new period.

Industrial setting is the focus of search for high quality developments in various properties. Under the goal of building a common rich demonstration area in Zhejiang province, the comprehensive evaluation of 'mu yield benefit' is comprehensively implemented to realize that the industrial development is changed from 'GDP theory hero' to 'mu yield theory hero', and the intensive utilization land is saved by promoting the redevelopment of town low-utility land, so that the high-quality development of the industry is promoted to become the material foundation for realizing common rich. The Shanghai divides the industrial land into three levels of industrial spaces according to the principles of total amount control, structure optimization, classification guidance and industrial demand guarantee through relevant policies such as full life cycle, stock inventory, low-efficiency decrement, industrial high-quality development and the like, implements a differential transformation strategy, and simultaneously takes performance as a core, implements full life cycle supervision, and achieves industrial land decrement quality improvement. The method has the advantages that the physical industry space is protected through block management and space guidance in a certain city in China, hierarchical control and guidance are realized, old factory building land transformation updating is supported through special planning and special policies, and meanwhile, the integration and promotion of the industrial land are realized by relying on land preparation of multiple paths. Many searches have been made throughout in the field of land use activities and policy management for industrial land reclamation, but still face some problems.

Currently, three contradictions are commonly faced in industrial land remediation. Firstly, the contradiction between the centralization of space to a park and the fragmentation of industrial land is mainly reflected in the scattered distribution of industrial land and the small scale of the continuous industrial blocks; the area of the industrial map spots is smaller, and the property in a single neighborhood is high in fragility; the fragmented space causes the loss of industrial in-situ facilities and the lack of upgrading space; the urban village promiscuous phenomenon is prominent, and the quality improvement and the like are difficult to realize. Secondly, the contradiction between the business state upgrade to the high end and the large industrial occupation ratio of low efficiency is mainly reflected in that the target value of the space performance distance planning and the economy of the industrial land still has a gap; the high added value industry is few, and the tax contributed by most of the land is little; low utility land occupation ratio, wide space distribution, etc. Thirdly, the contradiction of high cost of integrating management to the platform and land arrangement is mainly embodied in that land rights are mainly occupied by national yielding land, and camping and collective enterprises occupy larger areas; the price of the land secondary market is higher, and the land storage cost is extremely high; the staggered management mode between the street and the town causes the aspects of complex multi-head management status quo and the like. In solving these contradictions, the identification of the characteristics of the industrial site directly affects the manner of disposal of the industrial site, and therefore, it is necessary to divide the industrial site. The current division of industrial sites has the following disadvantages:

1. The current division of industrial sites is mainly focused on the identification of low-utility sites, and most of the sites are under theoretical investigation, single low-efficiency indexes are difficult to use for guiding actual work, and the classification evaluation of the sites based on practical application of remediation is few.

2. At present, research on evaluating low-efficiency industrial land in China is concentrated on land utilization efficiency, and low-utility land is divided, so that the current characteristics of the industrial land are difficult to reflect.

3. At present, classification processes are emphasized on the classification of industrial sites, the whole process of investigation-evaluation-classification is not performed, and the method has small significance on practical guidance. For the problems in the related art, no effective solution has been proposed at present.

Disclosure of Invention

Aiming at the problems in the related art, the invention provides a method for dividing the types of the whole process industrial land based on the characteristic evaluation, so as to overcome the technical problems in the prior art.

For this purpose, the invention adopts the following specific technical scheme:

a method for classifying types of industrial sites of a whole process based on feature evaluation, the method comprising the steps of:

s1, defining an industrial land investigation base map, and compiling the industrial land investigation base map;

S2, constructing an industrial land feature evaluation index system;

s3, investigation of industrial land information and industrial enterprise information in a form of double investigation of industrial land and industrial enterprise;

s4, quantifying an evaluation index according to the industrial land information and the industrial enterprise information by using an index calculation method;

s5, determining index weight of the characteristic evaluation of the industrial land by using a principal component analysis method, and calculating characteristic dimension evaluation scores of the industrial land according to the quantized evaluation indexes and the index weight;

s6, dividing the industrial land into seven types according to the land characteristics and based on the evaluation scores thereof.

Further, the industrial floor survey base map includes an industrial floor survey base plot, a supplemental plot, and a reference plot.

Further, the defining the industrial land survey base map and the compiling of the industrial land survey base map comprises the following steps:

s11, acquiring real estate registration data, historical industrial land supply data, latest homeland change investigation results and 1:2000 topography and high-resolution satellite images;

s12, realizing the spatial position of the industrial ground map in the investigation region and determining basic attribute information by data preprocessing and combining with an intra-field interpretation and data comparison mode;

S13, integrating the basic attribute information, and drawing to form an industrial land investigation base map;

s14, encoding the investigation base map, and determining the unique land parcel encoding of each land parcel.

Furthermore, the method for realizing the spatial position of the industrial ground map in the investigation region and determining the basic attribute information by data preprocessing and combining with the modes of in-house interpretation and data comparison comprises the following steps:

s121, carrying out coordinate conversion on vector data inconsistent with a coordinate system;

s122, performing topology inspection such as face element overlapping, self-intersecting and the like on the collected data, and processing topology problems;

s123, cleaning the collected data of real property registration and land supply, reserving necessary fields and attribute table information, checking land block positions based on remote sensing image data, and finishing position offset correction.

Further, the integrating basic attribute information, drawing and forming the industrial land survey base map comprises the following steps:

s131, extracting land areas with registered purposes of industrial or warehouse land in the real estate registration data, and determining the land areas as basic land areas for industrial land investigation as first priorities;

s132, extracting land used as land for industry or storage in the land supply data, and excluding land data for which real estate registration and evidence issuing are completed as supplementary land blocks for industrial land investigation;

S133, extracting land types are land blocks of industrial land and logistics storage land, performing internal pre-judgment by utilizing the high-resolution images of the latest time point, extracting land blocks to be checked, and taking the extracted land blocks as reference land blocks for industrial land investigation.

Further, the encoding of the investigation base map, and the determination of the unique geocode of each block of land comprises the following steps:

s141, determining a land parcel range according to the land parcel boundary line according to the real estate data extraction result;

s142, determining a land block range according to the red line graph range of the supply land according to the supply land extraction result, and supplementing the land block range into the real estate registration extraction result;

s143, according to the extraction result of the change investigation data, comparing the change investigation data with a high-resolution image graph, performing manual interpretation, wherein the change investigation data is an industrial land, and a land with the building form of a common industrial factory building form in the high-resolution image graph is taken as other suspected industrial land, and the land is put in storage and marked as to-be-verified, is supplemented into a land supply data result, and is subsequently subjected to field verification;

s144, when the actual land use range of the land use unit is inconsistent with the land map range or the land supply red line map range or belongs to the history carry-over problem, determining the land block according to the actual land use range by combining with the field check according to the high-resolution image map;

S145, marking positions of places which are not related to the actual places of the land units in various data by a investigator, combining with the field investigation according to the high-resolution image map, and carrying out supplementary drawing on the land;

and S146, overlapping the map layer of the industrial map and the map layer of the administrative area, automatically assigning values to the relevant fields according to the space containing relation, numbering the land parcels, and forming an industrial investigation base map.

Further, the construction of the industrial land feature evaluation index system comprises the following steps:

constructing an industrial land feature evaluation index system with 6 feature levels and 21 indexes;

the 6 characteristic layers are output performance, industrial potential, employment contribution, financial contribution, construction level and property status.

Further, the method for calculating the utilization index quantifies the evaluation index according to the industrial land information and the industrial enterprise information, and comprises the following steps:

s41, carrying out standardized processing on the original data in four types of characteristics, namely yield performance, industrial potential, construction level and property state;

s41, carrying out principal component analysis on the normalized data, and obtaining a weight value W of the index by using a Kaiser normalized maximum variance method in a rotation method, wherein the weight value W ranges from 0 to 1.

Further, the determining the index weight of the characteristic evaluation of the industrial land by using the principal component analysis method, and calculating the characteristic dimension evaluation score of the industrial land according to the quantized evaluation index and the index weight comprises the following steps:

s51, judging indexes of the characteristic evaluation of the industrial land according to the quantized value and the target value;

s52, calculating to obtain a single index score according to the characteristic quantized value and the characteristic target value.

Further, the classifying the industrial land into seven types according to the land feature and based on the evaluation score thereof includes the steps of:

s61, according to the evaluation score, judging the characteristic type by a single characteristic dimension score exceeding the standard score, and sequentially obtaining financial contribution, output performance, employment contribution, industrial potential and construction level according to the characteristic judgment sequence;

s62, judging that any characteristic dimension of financial contribution, employment contribution, industrial potential, yield performance and construction level does not exceed a standard score, and any characteristic dimension score is lower than a low-efficiency score;

s63, determining that the land does not belong to the determination principles of the step S61 and the step S62 is a general equalization type.

(III) beneficial effects

Compared with the prior art, the invention provides a method for dividing the types of the industrial land in the whole process based on characteristic evaluation, which has the following beneficial effects:

1. The invention forms a set of complete industrial land evaluation and classification system through innovative methods in aspects of data investigation, land feature evaluation, type division and the like, can accurately and effectively identify the use features and the enterprise development states of industrial lands, reasonably divide the types of the industrial lands, is more beneficial to providing a targeted treatment mode for the industrial lands, provides objective and fair basis for supervision departments to find out low-utility lands, formulate reasonable industrial treatment policies and promote industrial efficiency improvement, and has important significance for promoting low-efficiency industrial land redevelopment, disc survival amount construction lands and realizing industrial high-quality development and common and rich targets.

2. In the invention, the total area of the financial contribution type industrial land is 10.08 square kilometers in terms of area, the ratio is about 34%, and the type with the highest ratio is adopted; the total area of the high-efficiency energy-saving industrial land is 1.44 square kilometers, and the ratio is about 5%; the type of industrial land with the smallest occupation ratio is employment contribution type, the total area is only 0.8 square kilometer, and the occupation ratio is about 3%; the total area of the industrial guiding type industrial land is 3.43 square kilometers, and the ratio is 11%; the total area of the industrial land with the function decline is 2.96 square kilometers, and the ratio is about 10%; the second industrial land type with the second proportion ranking is comprehensive decline type, the area is 5.89%, and the proportion reaches 20%; finally, the general balanced industrial land type is adopted, the duty ratio is also up to 17%, and the total area is 5.19 square kilometers.

3. From the aspect of land quantity, the industrial land type with the highest quantity proportion is generally balanced, and the proportion reaches 30%; the number of the comprehensive declining type industrial land is 26 percent, and the number of the comprehensive declining type industrial land is ranked second; the third type of industrial land is financial contribution type, accounting for 14%; then the efficient energy-saving type, the function balancing type and the employment contribution type and the industry guidance type are sequentially carried out, and the percentages are 8%, 7% and 7%.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a flow chart of a method of type classification for an overall process industrial site based on feature evaluation in accordance with an embodiment of the present invention;

FIG. 2 is a block diagram of a feature evaluation index system in a method for classifying types of industrial sites in a whole process based on feature evaluation according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of a benefit analysis radar in a method for classifying types of industrial land in a whole process based on feature evaluation according to an embodiment of the present invention;

FIG. 4 is a flow chart of category determination in a method for classification of types of industrial sites in a whole process based on feature evaluation in accordance with an embodiment of the present invention;

FIG. 5 is a radar chart of feature benefit analysis in a method for classifying types of industrial sites in a whole process based on feature evaluation according to an embodiment of the present invention;

fig. 6 is a diagram of classification results of industrial land in the type classification method of the whole process industrial land based on feature evaluation according to the embodiment of the present invention.

Detailed Description

For the purpose of further illustrating the various embodiments, the present invention provides the accompanying drawings, which are a part of the disclosure of the present invention, and which are mainly used to illustrate the embodiments and, together with the description, serve to explain the principles of the embodiments, and with reference to these descriptions, one skilled in the art will recognize other possible implementations and advantages of the present invention, wherein elements are not drawn to scale, and like reference numerals are generally used to designate like elements.

According to an embodiment of the present invention, there is provided a method of type classification of an overall process industrial land based on feature evaluation.

The invention will now be further described with reference to the accompanying drawings and detailed description, as shown in fig. 1, a method for classifying types of industrial sites of whole process based on feature evaluation according to an embodiment of the invention, the method for classifying types of industrial sites of whole process comprising the steps of:

in one embodiment, the industrial floor survey base map comprises an industrial floor survey base plot, a supplemental plot, and a reference plot.

In one embodiment, the defining and compiling the industrial floor survey base map comprises the steps of:

in specific application, the data integration part mainly integrates real estate registration data and land supply data, supplements the investigation result of the change of the country in 2020, and extracts a basic land block, a supplementary land block and a reference land block of the industrial land investigation respectively.

In one embodiment, the method for realizing the spatial position of the industrial map in the investigation region and determining the basic attribute information by data preprocessing and combining the modes of in-house interpretation and data comparison comprises the following steps:

S121, unifying a coordinate system, wherein a space reference system adopts a 2000-country geodetic coordinate system, a space data coordinate system is required to be consistent, and vector data inconsistent in the coordinate system is subjected to coordinate conversion;

s122, completing topology inspection, namely finishing topology inspection such as face element overlapping, self-intersecting and the like on the collected data, and processing topology problems;

and S123, finally, cleaning and correcting the data, cleaning the collected real estate registration and land supply data, reserving necessary fields and attribute table information, checking the land block position based on remote sensing image data, and finishing position offset correction.

In one embodiment, the integrating the basic attribute information, drawing and forming the industrial land survey base graph includes the steps of:

In one embodiment, the encoding of the survey base graph, determining a unique geocode for each block of land, comprises the steps of:

s143, according to the extraction result of the change investigation data, manually judging by comparing with the high-resolution image map, outlining other suspected industrial land plots, warehousing and marking as to-be-verified, supplementing the to-be-verified to the land supply data result, and then carrying out follow-up field verification;

s144, when the actual land use range of the land use unit is inconsistent with the land map range or the land supply red line map range or belongs to the history carry-over problem, determining land plots according to the actual land use range by combining with the field check according to the high-resolution image map;

s146, overlapping the industrial map layer with the map layer of the administrative area, automatically assigning values to the relevant fields according to the space containing relation, and automatically numbering the land parcels according to the village code and the running water number, thereby finally forming the industrial investigation base map. The total area of the final total of 6393 blocks of industrial land is 42.77 square kilometers.

Because the internal management condition of the industrial land is complex, the data are cumbersome and the acquisition difficulty is high, and in order to acquire accurate and detailed data, a land-enterprise double-investigation method is adopted for data investigation, the core steps of the method comprise the steps of compiling a investigation base map and determining investigation contents, wherein the investigation base map is used for determining investigation objects, the investigation contents are sources for acquiring research data, and the investigation organization form and the corresponding mode of the land enterprise are required to be focused, so that the method is a way for acquiring the data.

According to real estate registration data and historical industrial land supply data, latest homeland change investigation results, 1:2000 topography, high-resolution satellite images and the like, and through data superposition, fusion, duplication removal and space topology processing, and combining with an internal industry interpretation and data comparison and the like, the space position and basic attribute information of the industrial ground map in the investigation region are determined, and the industrial ground investigation base map is formed. The survey base map is encoded such that each block has a unique geocode.

S2, constructing an industrial land feature evaluation index system;

in one embodiment, the construction of the industrial land feature evaluation index system comprises the steps of:

In specific application, the main purpose of industrial investigation work is to obtain land use condition and enterprise operation condition, and since state area has a large number of factory renting conditions, one-land multi-enterprise conditions are common, investigation forms are divided into industrial land questionnaires and industrial enterprise questionnaires in order to facilitate investigation work development.

The first part is an industrial land questionnaire. The industrial land investigation content comprises 26 problems of 3 major information such as rights information, construction information, environment information and the like, and specifically comprises the following steps: land codes, contacts, contact addresses, right names, land identification numbers, land ownership classifications, land utilization status classifications, national rental status classifications, collective rental status classifications, land identification remaining years, building quality, infrastructure, whether there is double creation space, whether there is a hatching base, whether there is a small micro enterprise garden, and field environmental quality.

The second part is an industrial enterprise questionnaire. The investigation content of the industrial enterprises comprises 24 problems of 5 major information such as basic conditions, practitioners, operation places, operation data, scientific research levels and the like, and specifically comprises the following steps: land-based codes, business names, business credit codes, legal/contact, whether to bring up a business, whether business operations are consistent with registered places, whether to belong to industry, total staff number of business, operation place building area, remaining lease period, number of main factory building floors, total annual sales income, total annual tax, total annual electricity cost, total annual water cost, whether to raise a new business, whether to have research and development departments, whether to have school cooperation bases. As shown in the following chart 1:

Table 1 survey content table

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S3, investigation of industrial land information and industrial enterprise information by adopting a dual investigation form of industrial land and industrial enterprise through an industrial land characteristic evaluation index system;

when the method is applied specifically, the investigation is organized and coordinated by a work and office lead, and investigation progress conditions are issued regularly to inform each village and town investigation data quality conditions so as to improve investigation efficiency and data filling quality. Each village and town is responsible for specific investigation work within the scope of the district, and specific information of the questionnaire is filled in by village and town staff so as to ensure the accuracy of the information and the relative unification of part of subjective problem judgment standards.

The investigation adopts a double investigation form of industrial land and industrial enterprises. The investigation was done by four ways, paper questionnaires, web questionnaires, telephone questionnaires, and third party teams. Meanwhile, the system is dynamically docked with an industrial brain system in state area, and check is carried out on the investigation data.

After the investigation is finished, the investigation data are rechecked by a third party investigation team, typical plots which can represent different areas, different parks and cover all street towns and occupy 1/3 of the total land are selected for rechecked investigation, and the accuracy of the data is improved through comparison and verification. In the investigation process, investigation staff needs to judge the religion codes of the religion and the enterprise according to the map with the religion codes, and simultaneously fill the religion codes in two investigation forms, and all the forms are filled in according to a given standard format.

And importing form investigation data into the database according to the land parcel coding information shared by the database and the forms, wherein the industrial land and industrial enterprise questionnaires all contain the land parcel coding information, and connecting the two groups of information of the industrial land and the industrial enterprise with the space database according to the land parcel coding. Thereby forming a religion and enterprise database and realizing the spatial correspondence of the religion and the enterprise. In state area, 6393 land areas with area of 42.77km have been investigated ² The number of businesses has been investigated 9635. Wherein the number of the evaluable plots is 4503, and the area is 29.78km ² Accounting for 70% of the total area; the number of the non-evaluable plots is 1890, and the area is 12.99km ² Accounting for 30% of the total area, wherein the non-evaluable plots were investigated including current transformed, reclaimed, on-building, empty, etc.

The land area is calculated according to the industrial investigation base map completed in 2.3.1; the industrial total tax of each street town comes from the statistical annual authentication of Ningbo City in 2021; r & D spending and camping services originate from the state district credit bureau; the building floor area is calculated from building contour data.

In one embodiment, the method for calculating the utilization index quantifies the evaluation index according to the industrial land information and the industrial enterprise information, including the following steps:

In a specific application, the financial contributions are as follows: the financial contribution is measured by using the street tax duty ratio, which refers to the tax of a street (village) and the total tax in a plot is the Sum of all industrial enterprise tax contained in the plot, and is obtained through statistics of space connection tools in Arcgis10.2 software, and the space connection rule of the tax attribute column selects Sum. The street town tax proportion is the proportion of the total tax in the land parcel to the total tax of the street town, so that the contribution degree of the land parcel to finance can be effectively measured, and the calculation formula is shown in formula 1:

equation 1: street town tax ratio = total tax in parcel/street town total tax;

the yield performance is as follows: the output performance is measured by using 4 indexes of per mu average tax, per mu average sales income, unit tax electric charge and unit tax, and the calculation formulas are shown as formula 2, formula 3, formula 4 and formula 5. The land area is obtained through calculation of a calculation geometry tool in Arcgis10.2 software, total tax in the land, total sales income in the land, total electricity consumption in the land and total water consumption in the land are all obtained by using a space connection tool of Arcgis10.2 software, wherein the space connection rules of tax, sales income, electricity consumption and water consumption attribute columns are all selected from Sum.

Equation 2: mu average tax = total tax in land/land area;

equation 3: mu average sales revenue = total sales revenue in land parcels/land parcel area;

equation 4: unit tax electric charge = total electric charge in the plot/total tax in the plot;

equation 5: unit tax water fee = total water fee in the plot/total tax in the plot;

employment contributions are as follows: the employment contribution index is measured by using the number of employment workers per mu, and the employment contribution index is measured by using the number of the employment workers per mu because the land with larger area can cover more employment workers, so that the negative influence caused by the physical characteristics is eliminated in order to fairly measure the employment contribution. The land area is obtained through a calculation geometric tool of Arcgis10.2 software, and the calculation formula of the number of employment staff per mu is as follows:

equation 6: the number of employment workers per mu=the total number of workers in the land parcels/the land parcel area;

the industrial potential is as follows: the 6 indexes of industry guidance, on-board enterprise ratio, technology development level, startup incubation level, whole person labor productivity and development investment ratio are used for measuring industry potential, wherein the calculation formulas of the industry guidance, on-board enterprise ratio and development investment ratio are shown as formula 7-formula 9, wherein the industry guidance is measured by conforming to 154 enterprise ratio, whether an enterprise belonging to 154 industry classes is inquired about the industry of the enterprise belonging to the industry classes through enterprise credit codes, and whether the inquiry of an action scheme of advanced manufacturing industry high-quality development is conforming to the inquiry of an action scheme of the running person action 2019 according to the ' 246 industry ' mu average benefit ' of Ningbo city in state area about the cultivation ' 154 ' thousand billions of industry clusters.

Equation 7: compliance with 154 business occupancy = number of businesses in land parcel belonging to the 154 industry classes/total number of businesses in land parcel;

equation 8: on-board enterprise occupancy = number of on-board enterprises/total number of intra-block enterprises;

equation 9: development investment ratio= (R & D expenses inside)/main business income;

in the aspect of science and technology research and development level, whether enterprises such as high and new enterprises, research and development departments, school cooperation bases and the like exist on the land is taken as a judgment standard, if the quantitative value of the land is given to be 5, and if the quantitative value of the land is not given to be 1.

In terms of the entrepreneur hatching level, the entrepreneur hatching level takes whether enterprises such as a double-wound space, a hatching base, a small and micro enterprise garden and the like exist on a land as a judging standard, if the land is given a quantitative value of 5, and if the land is given a quantitative value of 1.

The construction level is as follows: the 5 indexes of the land development strength, the average layer number of the factory buildings, the building quality, the environmental quality and the infrastructure level are used for measuring the building level, wherein the calculation formulas of the land development strength and the average layer number of the factory buildings are shown as a formula 10 and a formula 11; the total building quantity in the land and the building occupied area in the land are obtained through statistics of space connection tools of Arcgis10.2 software according to the building contour data, sum is selected according to space connection rules of an area attribute column, the newly added count_num column is used as the total building quantity, and the area attribute is used as the building occupied area in the land; the land area was calculated by the calculation geometry tool of arcgis10.2 software.

Equation 10: plot development intensity = total building volume in plot/plot area;

equation 11: average number of floors = total amount of buildings in a block/floor area of buildings in a block;

in terms of building quality, a newly built building approximately 3-5 years is evaluated as good in building quality; poor building quality mainly means that dangerous, shed, broken and other conditions exist in the building; except for these two cases, the remaining building was rated as a general building quality. The building quality score was given a "good" quantization value of 5, "general" of 3 and "bad" of 1.

In terms of environmental quality, the outer vertical surface of the building is clean and tidy, the external site of the building is provided with a standard traffic lane, a parking space and a discharge position, the building is provided with a green land, and the phenomena of no random stacking and random discharge and random waste water and waste material discharge are evaluated as good in environmental quality; building with serious building elevation fouling and random stacking, random waste water and waste material discharge on the external site of the building is evaluated as poor in environmental quality; other buildings were rated as environmental quality in general. The environmental quality score was given a "good" quantitative value of 5, "general" of 3 and "bad" of 1.

In the aspect of infrastructure level, three-way leveling refers to passage, electrifying, water supply and land leveling; five-way and one-way means that the passage, the power on, the water supply, the water discharge, the communication and the land are leveled; seven-pass one-flat means that the passage, the power on, the water supply, the water discharge, the communication, the fuel gas and the heat are conducted, and the land is flat; no way, electricity, or water was rated as not achieving three-way. Seven-pass one-flat "was given a quantitative value of 10," five-pass one-flat "of 7," three-pass one-flat "of 4, and" no three-pass one-flat "of 1.

The property status is as follows: the indexes for measuring the property state mainly comprise 4 important indexes of land use state, remaining years, remaining renting period and land block size.

The land use state is divided into three types of empty, self-use and leasing, wherein the quantized value of the self-use is 5, the leasing is 3, and the empty is 1;

the remaining period refers to the remaining period of the land syndrome, the quantitative value given to the remaining period of the land syndrome of more than 40 years is 5, the remaining period of the land syndrome is 4, the remaining period of the land syndrome of 20-30 years is 3, the remaining period of the land syndrome of 10-20 years is 2, and the remaining period of the land syndrome of less than 10 years is 1;

the residual lease refers to the residual lease of the land and the property, the quantitative value given to the residual lease is more than 20 years or used by oneself is 6, the residual lease is 5, the residual lease is 4, the residual lease is 3, the residual lease is 2, and the residual lease is1 or less than 1 year, and the residual lease is 1;

the land block size refers to the area size of the land block, and the quantized value is the area size of the land block and is obtained through a calculation geometric tool of Arcgis10.2 software;

the quantitative expression of the index is shown in table 2:

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s5, determining index weight of the characteristic evaluation of the industrial land by using a principal component analysis method, and calculating characteristic dimension (single characteristic dimension) evaluation scores of the industrial land according to the quantized evaluation index and the index weight;

In one embodiment, the determining the index weight of the feature evaluation of the industrial land by using the principal component analysis method and calculating the feature dimension evaluation score of the industrial land according to the quantized evaluation index and the index weight comprises the following steps:

in a specific application, the target values are as follows:

the score of the single index is determined by the quantized value and the target value, the target value is determined by comprehensively analyzing the value according to the 10% of the top ranking, and the target value is determined by partial indexes with the best performance, for example, the building quality is classified as poor, general and good, the building quality is taken as the target value, and the target value of each index is shown in the table 4;

the only index in the financial contribution characteristic is street town tax duty ratio, the proportion of land tax to each street town tax is ordered from high to low, the threshold value of the top 10% of the rank is 0.56%, and 0.56% is the target value of street town tax duty ratio.

And the output performance comprises four indexes of per mu average tax, per mu average sales income, unit tax electric charge and unit tax water charge. The current land block mu average tax is ordered from high to low, the threshold value of the first 10% is 29.36 ten thousand/mu, and 29.36 ten thousand/mu is the target value of mu average tax; the current mu average sales income of the current situation of the land where the industrial enterprises are located is ordered from high to low, the threshold value of the first 10% is 802.92 ten thousand yuan/mu, and 802.92 ten thousand yuan/mu is the target value of the mu average sales income; the unit tax electric charges are ordered from low to high, and the threshold value of the first 10% is 0.00005, so that 0.00005 is taken as the target value of the unit tax electric charges; the unit tax water fees are ordered from low to high, and the threshold of the first 10% is 0.003, so 0.003 is taken as the target value of the unit tax electric fee.

Employment contribution, wherein the only index in the employment contribution characteristic is the number of employment workers per mu. The number of the employment staff per mu is ordered from high to low, the threshold value of the first 10% is 13.85 persons/mu, and 14 persons/mu is the target value of the number of the employment staff per mu.

Industry potential comprises six indexes including industry guidance, on-board enterprise occupation ratio, technology development level, entrepreneur incubation level, whole labor productivity and development investment occupation ratio. The industry guide takes whether an enterprise with an industrial category belonging to the state area 154 industry or a 14N high-energy industrial chain on the land as a target value; the on-board enterprise duty ratio is ordered from high to low, the threshold value of the first 10% is 1, and 1 is used as the target value of the on-board enterprise duty ratio; the science and technology research and development level takes whether enterprises such as high and new enterprises, research and development functions, school cooperation bases and the like exist on the land as target values; the entrepreneur hatching level takes whether enterprises such as a double-wound space, a hatching base, a small and micro enterprise garden and the like exist on a land block as target values; the total staff productivity is ranked from high to low, the threshold value of the first 10% is 26.11%, and 26.11% is taken as the target value of the total staff productivity; the development investment ratio is ordered from high to low, and the threshold of the first 10% is 6.56%, so 6.56% is taken as the target value of the development investment ratio.

The construction level comprises five indexes of land development intensity, average layer number of the factory buildings, building quality, environment quality and infrastructure level. The land development intensity is ranked from high to low, and the threshold value of the first 10 percent is 1.76, so that 1.76 is taken as the target value of the land development intensity; sequencing the average number of layers of the plant from high to low, wherein the threshold value of the first 10% is 2.96 layers, so that 3 layers are used as target values of the average number of layers of the plant; building quality is divided into three layers of good, general and poor, and good is taken as a target value; the environmental quality is divided into three layers of good, general and bad, and the good is taken as a target value; the foundation facilities are divided into four layers of seven-way level, five-way level, three-way level and one-way level, and the like. The seven-way one-way level is taken as a target value.

Title state the title state comprises four indexes of land use state, residual age, residual lease and land block size. The land use state is divided into three types of self-use, leasing and empty, and the self-use is used as a target value; the remaining years of the land syndrome are divided into five types of more than 40 years, 30-40 years, 20-30 years, 10-20 years and less than 10 years, and more than 40 years are taken as target values; the rest lease is divided into six types of more than 20 years or self-use, 10-20 years, 5-10 years, 3-5 years, 1-3 years and less than 1 year, and the target value is more than 20 years; the plot sizes were ranked from high to low, with the top 10% threshold of 1.58 hectares. Thus, 1.58 hectare was taken as the target value.

Table 4 is an index target value table

In specific applications, the characteristic scores are as follows:

calculating to obtain a single index score according to the characteristic quantization value and the characteristic target value, wherein the index score formula is as follows:

wherein S is _ij Score for a single index S _{Index (I)} S is the quantized value corresponding to the index _{Target object} Is the target value corresponding to the index, wherein 0 is less than or equal to S _ij The size of j in the interior of a single feature is the number of indexes contained in the feature, wherein 100 is less than or equal to 0, i is less than or equal to 6.

The feature score is the sum of the products of the indexes in the feature and the corresponding weights, and the formula of the feature score is as follows:

wherein S is _i For a single feature score, S _ij Scoring individual indicators within the feature, W _ij Is the weight value corresponding to the index, wherein 0 is less than or equal to S _j The size of j in the interior of a single feature is the number of indexes contained in the feature, wherein 100 is less than or equal to 0, i is less than or equal to 6.

Because of the complex internal conditions of the industrial sites, the number of indexes used for characteristic evaluation is large, and the importance degree of each index is different, in order to attach importance to the influence of the difference on the evaluation result, weight calculation is carried out on the indexes. The main component analysis method is used for determining the index weight, the total index weight is 1 in each characteristic, and the influence on the weight is mainly the importance degree of the index.

As shown in table 3, since the total weight of each feature is set to be 1, the feature needs to be divided to determine the weight, and only one evaluation index of the features except financial contribution and employment contribution is set, the weight is directly assigned to be 1, and the four features including yield performance, industrial potential, construction level and property state are respectively determined as the index weights.

Data normalization: carrying out standardization processing on the original data in four types of characteristics of output performance, industrial potential, construction level and property state, wherein the data standardization formula is as follows:

wherein u is _ij Is standardized index data, and ranges from 0 to 1; x is x _ij The method is characterized by producing the original data in four types of characteristics, namely performance, industrial potential, construction level and property state.

(2) And (3) principal component analysis: and (3) carrying out principal component analysis by using the standardized data, and obtaining a weight value W of the index by using a Kaiser standardized maximum variance method in a rotation method, wherein the weight value W ranges from 0 to 1.

TABLE 3 index weight Table

S6, dividing the industrial land into seven types according to the land characteristics and based on the evaluation scores thereof;

in one embodiment, the classifying the industrial land into seven types according to the land feature and based on the evaluation score thereof includes the steps of:

In specific application, as shown in fig. 3, a religious benefit analysis radar chart is drawn, and the benefit analysis radar chart is an enterprise economic benefit comprehensive analysis tool. The evaluation analysis refers to a radar chart evaluation analysis method, and 6 characteristic indexes of financial contribution, employment contribution, output performance, industrial potential, construction level and property state are selected for evaluation, wherein the total number of the characteristic indexes is 21. Full score refers to the full score value of the characteristic index (i.e., 100 points); the feature index scores are ranked from high to low, and a threshold value of 20% before the score is used as a standard score; the feature index scores are ranked from high to low, and a threshold of 10% after the score is used as the inefficiency score.

The radar graph presented by the evaluation result can intuitively reflect the economic space development level of the evaluation land. Overall, the larger the graphic area, the better the various indexes of the plot, and the better the development state. The larger the upper half area of the graph, the greater its contribution to local development, the more important it is to remain.

The type decision principle is as follows:

the type judgment is carried out according to the religious benefit analysis radar chart, the flow of the type judgment is shown in figure 4, and 7 industrial land types, namely financial contribution type, high-efficiency energy-saving type, employment contribution type, industry guidance type, function decline type, comprehensive decline type and general balance type are mainly divided according to the following three judgment principles.

Decision principle 1: and judging the feature type by using a single feature dimension score exceeding the standard score. The financial contribution score exceeds the standard score, the financial contribution type land is judged, the yield performance score exceeds the standard score, the employment contribution type score is judged as employment contribution type score, the industry potential score exceeds the standard score, the industry guiding type score is judged as industry guiding type score, and the construction level score exceeds the standard score. If the land has a plurality of feature dimensions exceeding the standard score, the priority of the financial contribution type more than the efficient energy-saving type more than the industry guidance type more than the functional decline type is used as the judgment principle (fig. 5 (a) (b) (c) (d) (e)).

Decision principle 2: any characteristic dimension of financial contribution, employment contribution, industrial potential, yield performance and construction level does not exceed the standard score, and any characteristic dimension score is lower than the low-efficiency score, and the overall decline is judged (fig. 5 (f)).

Decision principle 3: the land that does not fall under the two criteria is determined to be a general equilibrium type (fig. 5 (g)).

The type characteristics are as follows:

as shown in fig. 6, financial contribution type: as a land block to be kept with emphasis. Financial contribution type relics are prominent in terms of social or economic contribution, mainly in: the tax contribution to the street town is high, and the tax is an important tax source of the street town.

High efficiency and energy saving: as a plot of land that maintains advantages. The high-efficiency energy-saving land area has the main characteristics of high per mu average tax and per mu average sales income, low unit tax water consumption and unit tax electricity consumption value, high yield performance and low pollution energy consumption.

Employment contribution type: as a reserved lifted parcel. Employment contribution type religion has low tax contribution and output performance to street and town, but the employment workers in unit area have more numbers, can effectively solve employment problems, and has outstanding social contribution.

Industry guidance type: as a land block for important industrial support. The industrial guiding type religious production performance is not high, but has higher industrial development potential, and religious enterprises accord with the industrial development direction of state areas, and have a certain technological development level and innovation and creativity incubation level.

Functional decline type: as a land block where the function replacement is preferentially performed, the enterprise updates. The land with function decline has higher construction level, higher development strength of land parcels, average layer number of factory buildings and infrastructure level, and better building quality and field environment quality. But generally show the aspects of output performance, industrial potential, employment contribution, financial contribution and the like, and the internal industrial functions are continuously declined.

Comprehensive decay type: and combining the land areas with the zone bit to be treated preferentially. The comprehensive declining religion has no obvious outstanding advantages in various aspects such as financial contribution, output performance, employment contribution, industrial potential, construction level, ownership state and the like, but has obvious disadvantages or shortcomings in one aspect or a plurality of aspects, and has poor development prospect.

General equalization: and (5) overall planning the remedied land according to the regional characteristics. The general balanced religion has no obvious prominent advantages and disadvantages in various aspects such as financial contribution, output performance, employment contribution, industrial potential, construction level, ownership state and the like, and the whole development level is general.

In summary, by means of the above technical solution of the present invention, the total area of the financial contribution type industrial land is 10.08 square kilometers, the ratio is about 34% and the highest ratio is considered from the aspect of area; the total area of the high-efficiency energy-saving industrial land is 1.44 square kilometers, and the ratio is about 5%; the type of industrial land with the smallest occupation ratio is employment contribution type, the total area is only 0.8 square kilometer, and the occupation ratio is about 3%; the total area of the industrial guiding type industrial land is 3.43 square kilometers, and the ratio is 11%; the total area of the industrial land with the function decline is 2.96 square kilometers, and the ratio is about 10%; the second industrial land type with the second proportion ranking is comprehensive decline type, the area is 5.89%, and the proportion reaches 20%; finally, the general balanced industrial land type is adopted, the duty ratio is also up to 17%, and the total area is 5.19 square kilometers. From the aspect of land quantity, the industrial land type with the highest quantity proportion is generally balanced, and the proportion reaches 30%; the number of the comprehensive declining type industrial land is 26 percent, and the number of the comprehensive declining type industrial land is ranked second; the third type of industrial land is financial contribution type, accounting for 14%; then the efficient energy-saving type, the function balancing type and the employment contribution type and the industry guidance type are sequentially carried out, and the percentages are 8%, 7% and 7%. The invention forms a set of complete industrial land evaluation system through innovative methods in aspects of data investigation, land feature evaluation and the like, can accurately and effectively identify the use features of the industrial land and the development state of enterprises, is helpful for providing a targeted treatment mode, and provides objective and fair basis for supervision departments to find out low-utility lands, formulate reasonable industrial treatment policies and promote industrial efficiency upgrading. Has important significance for promoting the redevelopment of low-efficiency industrial land, the construction of the disc living stock land and the realization of the high-quality development of the industry and the common and abundant targets.

The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.

Claims

1. The method for dividing the type of the whole process industrial land based on the characteristic evaluation is characterized by comprising the following steps of:

s2, constructing an industrial land feature evaluation index system;

2. The method for classifying types of industrial land used in the whole process based on characteristic evaluation according to claim 1, wherein said industrial land investigation base map comprises an industrial land investigation basic land block, a supplementary land block and a reference land block.

3. A method of overall process industrial land type classification based on feature evaluation as claimed in claim 2, wherein said defining and compiling an industrial land survey base map comprises the steps of:

4. The method for dividing the types of industrial land used in the whole process based on the characteristic evaluation according to claim 3, wherein the steps of realizing the spatial position of the industrial land used in the investigation region and determining the basic attribute information by means of data preprocessing and combining with the modes of internal interpretation and data comparison comprise the following steps:

5. A method of overall process industrial land type classification based on feature evaluation as claimed in claim 3, wherein said integrating basic attribute information, drawing to form an industrial land survey base map comprises the steps of:

6. A method of overall process industrial land type division based on feature evaluation as claimed in claim 3, wherein said encoding of said survey base map to determine a unique geocode for each block comprises the steps of:

s143, according to the extraction result of the change investigation data, comparing the change investigation data with a high-resolution image graph, performing manual interpretation, wherein the change investigation data is an industrial land, and a land outline of the land with the building form of a general industrial factory building form in the high-resolution image graph is used as other suspected industrial land, and warehousing and marking the land outline as a to-be-verified land, supplementing the land outline to a land supply data result, and subsequently performing field verification;

7. The method for dividing the types of the whole process industrial land based on the characteristic evaluation according to claim 1, wherein the construction of the industrial land characteristic evaluation index system comprises the following steps:

8. The method for classifying types of industrial land based on characteristic evaluation according to claim 1, wherein the method for calculating the utilization index quantifies the evaluation index according to the industrial land information and the industrial enterprise information comprises the steps of:

9. The method for classifying types of industrial land based on characteristic evaluation according to claim 1, wherein said determining an index weight of characteristic evaluation of the industrial land using principal component analysis and calculating a characteristic dimension evaluation score of the industrial land based on the quantized evaluation index and the index weight comprises the steps of:

10. A method of classifying industrial land types based on feature evaluation as claimed in claim 1, wherein said classifying the industrial land into seven types based on the feature of the land and on the evaluation score thereof comprises the steps of: