AU2019101466A4 - Method for determining future urban expansion mode - Google Patents
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Abstract
The present invention provides a quantification method for urban space coordinated development based on a difference of relative development rates between cities and in consideration of a spatial synergic relationship. In the present invention, a total urban permanent population, an urban built-up area, urban secondary and tertiary industries are endowed with weights, and formulas for calculating index change rates of the total urban permanent population, the urban built-up area, and the urban secondary and tertiary industries are used to improve a US-PLE evaluation model. Finally, a result obtained by dividing a difference of development rates between cities by a distance between the between cities is used to express a development index S of a city relative to another city; a sum of all S in a region, and whether an S value is positive or negative, to obtain an expansion mode that the city should adopt in a condition of considering the space synergy. Finally, reasonable prediction for future urban area planning of the city can be conducted by using a proportion of an S value in the sum. Collect data nation secondary and daaArea data tertiary industries) dada CalcCalculatearelative Calule aevpopulatio Calculate an urban land-use rCalculate an urban economic sizedeelopment scale development speed development speed Construct a Chmna's urban scale structure index evaluation model |Calculate a relative development index B represents a ratio of an S value of a Determine, based on whether an county (city) to a sum of S values of S value is positive or negative, counties (cities) in a region to adopt increment/stock/ deer t deve pment F=B*Ae Futr urban area plannm
Description
METHOD FOR DETERMINING FUTURE URBAN EXPANSION MODE TECHNICAL FIELD
The present invention relates to the field of urban planning, and in particular, to an urban expansion planning method that needs to consider the surrounding influence.
BACKGROUND
At present, the urban scale is mainly expanding incrementally. With the continuous expansion of the urban scale, almost all cities in the world are confronted with the conflict between population growth and resources and environment. Therefore, the academic community calls on that we should not expand urbanization blindly, but need to make reasonable and sustainable planning after specific analysis of the actual development trend.
Urban development planning inevitably leads to incremental planning, stock planning, and reduction planning. The incremental planning is planning conducted mainly based on space expansion with the newly-added construction land as an object. A main characteristic of incremental planning is to make positive prediction and expansionary development arrangement for cities in the rapid development stage. Stock planning is planning that promotes the function optimization and adjustment of buildup regions by means of urban renewal. It is an effective response to the change of urban growth factors. In essence, stock planning is reflection and improvement on incremental planning. Reduction planning refers to removing a part of construction land to restore ecology or reducing a part of land to increase another part of land area. It is an important planning selection to cope with the local economic recession and the population scale reduction, and is a type of planning for implementing integration of regional resources and intensive utilization of resources.
Because the urban development is affected by many factors, it is very difficult to conduct accurate analysis of the trend of urban development. If urban development is planned as a whole within a specific region, it is extremely difficult to achieve spatial synergy.
SUMMARY
The present invention provides a method for determining a future urban expansion mode, to resolve problems that it is difficult to accurately analyze an urban development trend and overall planning for urban development cannot be conducted.
The method for determining a future urban expansion mode is implemented according to the following steps:
A. Measure urban-related data.
B. Calculate a population size development speed:
i
2019101466 27 Nov 2019
P is a regional population, Po is a regional population at an initial stage of a study, r is a maximum relative growth rate of a region that can be promoted by a limiting factor in a regional population growth condition, K is a maximum population that the region can accommodate, that is, Pmax = K, and parameters r and K are obtained through linear calculation by using a nonlinear least square method.
C. Calculate an urban land-use scale development speed:
= ES =
* 100%
ES is an annual average expansion rate of urban land, La is an urban built-up area at the beginning of the study; Lb is an urban built-up area at a final stage of the study, and n is study duration (unit: year).
D. Calculate an urban economic development speed:
Ei=bK > _ Zt=1Ut-y) _ t----z~
Σ t=iUt -x)2 Σί=i xt -nx2 K = J ΠΡ= i— , and ; em is an output value of an mth economic sector or element of a city and a relevant part of a neighboring city, Em is an output value of the mth economic sector or element of a city; x is a year; y is a GDP value of secondary and tertiary industries of a studied city; and n is study duration (unit: year).
E. Construct an urban scale structure index evaluation model:
US — a-|_P5 + a2L; + a3E3 ai, oi2, and 0.3 are weight coefficients; ai, 012, and as are obtained by using an expert investigation method; and ai, a2, and as are 0.3571, 0.3286, and 0.3143, respectively.
F. Calculate a relative development index:
c _ ym-iUS^-USf
5-Zj=l d..
US* is a normalized value of an urban scale structure index of a studied city; USi* is a normalized value of an urban scale structure index of a city i; di* is a calculated weight distance between the studied city and the neighboring city i; and m is a number of cities in the study region.
G. Formulate a planning scheme based on an S value:
If S>0, in a region, a scale development rate of a city is higher than that of a surrounding city, the economy grows at a high speed, and an urbanization process is in a rapid improvement stage,
2019101466 27 Nov 2019 this region has a greater development potential, and in this case, an incremental planning scheme should be adopted.
If S=0, in a region, a scale development rate of a city is lower than that of a surrounding city, the economy sustainably grows, an internal structural adjustment of the city is intensified, but an expansion trend is obviously limited, the city enters a new development transformation stage, and in this case, a stock planning scheme should be adopted.
If S<0, in a region, urban economic growth is slow, a population size is reduced and efficiency of urban-land utilization is low, and in this case, reduction planning needs to be conducted to change an urbanization development trend.
H. Calculate a quantified area:
It is learned through calculation that a ratio of a normalized S value Si* of a city to a sum of normalized values of all cities in a region is B; assuming that an overall planning area of the region is set to Area, after B is multiplied by Area, a value F of an area to be expanded in the city is obtained, where 1-11 , n is a number of cities in the region, and
F = B * Area
In the method of the present invention, an urban scale structure index evaluation model is constructed, a total urban permanent population, an urban built-up area, and GDP data of urban secondary and tertiary industries are endowed with weights, and formulas for calculating index change rates of the total urban permanent population, the urban built-up area, and the GDP data of urban secondary and tertiary industries are used to improve the urban scale structure index evaluation model. Then, a result obtained by dividing a difference of development rates between cities by a distance between the between cities is used to express a development index of a city relative to another city; a sum of all S in a region is obtained, and whether an S value is positive or negative is determined, to obtain a reasonable expansion mode that the city should adopt in a condition of considering the space synergy. The present invention provides a quantification method for urban space coordinated development based on a difference of relative development rates between cities and in consideration of a spatial synergic relationship.
In the method of the present invention, a future urban development trend can be accurately predicted, and coordinated urban development in a region can be guided according to the prediction data, so as to achieve the spatial synergy. In the method of the present invention, reasonable prediction for future urban area planning of a city can be conducted by using a proportion of an S value in the sum.
2019101466 27 Nov 2019
The method in the present invention can balance and coordinate the scale of urban development in a development region and make reasonable planning, so as to reduce the contradiction between population and resources and environment and relieve land shortage and other problems, implementing efficient and rational sustainable development of urban agglomerations and avoiding a waste of land resources caused by blind expansion.
In the method of the present invention, mutual influence among cities is taken into account in terms of urban scale expansion, and more practical theories are used to guide urban planning. The method has advantages of convenience and easy implementation, and can be directly used for the planning urban study.
BRIEF DESCRIPTION OF DRAWINGS
FIG. 1 is a flowchart of steps of a method according to the present invention;
FIG. 2 shows scale structure indexes (US) and relative development indexes (S) of counties and cities in Nanyang City; and
FIG. 3 shows result values (B) of counties and cities in Nanyang City.
DETAILED DESCRIPTION
A specific implementation 1: A method for determining a future urban expansion mode in this implementation is implemented according to the following steps:
A. Measure urban-related data.
B. Calculate a population size development speed:
P is a regional population, Po is a regional population at an initial stage of a study, r is a maximum relative growth rate of a region that can be promoted by a limiting factor in a regional population growth condition, K is a maximum population that the region can accommodate, that is, Pmax = K, and parameters r and K are obtained through linear calculation by using a nonlinear least square method.
C. Calculate an urban land-use scale development speed:
L; = ES =
* 100%
ES is an annual average expansion rate of urban land, La is an urban built-up area at the beginning of the study; Lb is an urban built-up area at a final stage of the study, and n is study duration (unit: year);
D. Calculate an urban economic development speed:
2019101466 27 Nov 2019
Ei=bK
K = ZLiUt-^(yi-50 = St=iXtyt-nxy n |' EmL
Σΐ=ι(^ί-+)2 SLiXf-nU _ J i=1e~ , and ; em is an output value of an mth economic sector or element of a city and a relevant part of a neighboring city, Em is an output value of the mth economic sector or element of the city; x is a year; y is a GDP value of secondary and tertiary industries of a studied city; and n is study duration (unit: year).
E. Construct an urban scale structure index evaluation model:
US — cfyPj + otj L; + OEgEj ai, oi2, and as are weight coefficients; ai, a2, and as are obtained by using an expert investigation method; and ai, as, and as are 0.3571, 0.3286, and 0.3143, respectively.
F. Calculate a relative development index is d..
where US* is a normalized value of an urban scale structure index of a studied city; USi* is a normalized value of an urban scale structure index of a city i; di* is a calculated weight distance between the studied city and the neighboring city i; and m is a number of cities in the study region.
G. Formulate a planning scheme based on a value of S:
If S>0, in a region, a scale development rate of a city is higher than that of a surrounding city, the economy grows at a high speed, and an urbanization process is in a rapid improvement stage, this region has a greater development potential, and in this case, an incremental planning scheme should be adopted.
If S=0, in a region, a scale development rate of a city is lower than that of a surrounding city, the economy sustainably grows, an internal structural adjustment of the city is intensified, but an expansion trend is obviously limited, the city enters a new development transformation stage, and in this case, a stock planning scheme should be adopted.
If S<0, in a region, urban economic growth is slow, a population size is reduced and efficiency of urban-land utilization is low, and in this case, reduction planning needs to be conducted to change an urbanization development trend.
H. Calculate a quantified area:
It is learned through calculation that a ratio of a normalized S value Si* of a city to a sum of normalized values of all cities in a region is B; assuming that an overall planning area of the region is set to Area, after B is multiplied by Area, a value F of an area to be expanded in the city
2019101466 27 Nov 2019 is obtained, where s?
Β=ϊϋ;
F = B * Area , n is a number of cities in the region, and
In a specific implementation 2: a difference between this implementation and the specific implementation 1 lies in that: the urban-related data includes a total urban permanent population P, an urban built-up area L, an urban industry E-index, and a linear distance and a traffic distance between urban residents. Other steps and parameters are the same as those in the implementation
1.
In a specific implementation 3: a difference between this implementation and the specific . = us-usmin USi-USim,„
US —US UN ttc. -17¾. implementation 1 or 2 lies in that: raa?: m111 and U°I|MS Ul'‘min .
Other steps and parameters are the same as those in the implementation 1 or 2.
In a specific implementation 3: a difference between this implementation and the specific implementation 1, 2, or 3 lies in:
d drain d _ d -d max mm steps and parameters are the same as those in the implementation
1,2 or 3.
In a specific implementation 5: a difference between this implementation and the specific implementations 1 to 4 lies in:
sr = •-Ji Olmin
Q. - .
Ljlmax Ljlmm
Other steps and parameters are the same as those in the implementations 1 to 4.
In a specific implementation 6: a difference between this implementation and the specific implementations 1 to 5 lies in: , where di* represents a normalized value of a linear distance between two cities, dt* represents a normalized value of a time distance between two cities, and p and q are weights. Values may be assigned according to the concrete situation. For example, when railways and highways are well developed and transportation is convenient between two places, a value of p can be increased to increase a weight of the time distance; on the contrary, if the traffic between the two places is not smooth, the value of q should be increased to increase a weight of the linear distance. In an uncertain situation, both p and q can
2019101466 27 Nov 2019 be set to 1 by default. Other steps and parameters are the same as those in the implementations 1 to 5.
In a specific implementation 7: a difference between this implementation and the specific implementations 1 to 6 lies in that: normalization processing of di and dtare conducted by using the following formula:
Άπίη , where d* represents a normalized distance, d represents a distance before normalization, and dmin and dmax respectively represent a minimum distance value and a maximum distance value. Other steps and parameters are the same as those in the implementations 1 to 6.
Embodiment 1
In this implementation, a future expansion mode of Nanyang City of Henan Province is determined as follows:
A. Select population data of counties and cities in Nanyang City of Henan Province from 1990 to 2015, output value data of economic sectors or elements of secondary and tertiary industries, and six-phase construction land area data in 1990, 1995, 2000, 2005, 2010, and 2015.
B. Calculate a population size development speed:
R = = rPofl --) 1 dt 0 \ kJ
P is a total population of counties and cities in Nanyang City; Po is a population of the counties and the cities in Nanyang City in 1990, r is a maximum relative growth rate of a region that can be promoted by a limiting factor in a regional population growth condition, and K is a maximum population that the region can accommodate, that is, Pmax = K; a current urbanization level in each region in Nanyang City is in an acceleration phase, and in a phase from 1990 to 2015, the whole population growth process simulated by using a Logistic equation can be regarded as linear growth. Population size development speeds can be obtained by using a linear fitting equation of population data from 1990 to 2015. Pi values of Dengzhou County, Fangcheng County, Nanyang City, Nanzhao County, Neixiang County, Sheqi County, Tanghe County, Tongbai County, Xixia County, Xichuan County, Xinye County, and Zhenping County are 15365, 5908.3, 14218, 3082.3, 4680.6, 4998.6, 11088, 3135.3, 2682, 3039.3, 5836.8, and 5721.8, respectively.
C. Calculate an urban land-use scale development speed by using six-phase construction land areas in counties in Nanyang City:
2019101466 27 Nov 2019
L; = ES =
* IOO'%
ES is an annual average expansion rate of land of Nanyang City, Lais a built-up area of each city in 1990, and La values of Dengzhou County, Fangcheng County, Nanyang City, Nanzhao County, Neixiang County, Sheqi County, Tanghe County, Tongbai County, Xixia County, Xichuan County, Xinye County, and Zhenping County are 9183798.89, 6880076.47, 28326982.62, 3156882.27, 4926417.57, 4148603.26, 5851559.18, 3427786.49, 3707337.62, 3169016.84, 5568685.54, and 6964663.63, respectively; Lb is a built-up area of each city in 2015, and Lb values of Dengzhou County, Fangcheng County, Nanyang City, Nanzhao County, Neixiang County, Sheqi County, Tanghe County, Tongbai County, Xixia County, Xichuan County, Xinye County, and Zhenping County are 35618539.42, 13859873.33, 117062916.55, 14818863.12, 17655536.29, 15965750.30, 26369899.25, 16218764.60, 21240325.91, 13104714.21, 17839882.84, and 18929156.45, respectively; n is study duration of 25 years, calculation results of Li are 5.6%, 2.8%, 5.8%, 6.4%, 5.2%, 5.5%, 6.2%, 6.4%, 7.2%, 5.8%, 4.8%, and 4.1%, respectively, which are normalized to obtain 0.622, 0, 0.683, 0.806, 0.546, 0.614, 0.767, 0.814, 1, 0.684, 0.439, and 0.282 can obtained after normalization, respectively.
D. Calculate an urban economic development speed:
Ei=bK i_ _ Σ^ιΟί-^Κη-χ) _ n /----r-
Σί=ι(Χί-*)2 Σί=ι^-ηχΞ K J^’=1emL , and ; em is an output value of an mth economic sector or element of Nanyang City and a relevant part of a neighboring city, Em is an output value of the mth economic sector or element of a city; x is a year; y is a GDP value of secondary and tertiary industries of a studied city; and n is study duration of 25 years. Industry data of each county has been increasing (linearly or exponentially increasing), and normalized Ej values of Dengzhou City, Fangcheng County, Nanyang City, Nanzhao County, Neixiang County, Sheqi County, Tanghe County, Tongbai County, Xixia County, Xichuan County, Xinye County, and Zhenping County are calculated, which are respectively 0.405, 0.095, 1.0, 0.0, 0.046, 0.03, 0.253, 0.032, 0.183, 0.135, 0.211, and 0.168, respectively.
E. Construct an urban scale structure index evaluation model:
US — Otj_Pj H- OtjL; + OtgE;
ai, a?, and a3 are weight coefficients; ai, 012, and a3 are obtained by using an expert investigation method; and ai, 012, and a3 are usually 0.3571, 0.3286, and 0.3143, respectively. US
2019101466 27 Nov 2019 calculation results of Dengzhou City, Fangcheng County, Nanyang City, Nanzhao County, Neixiang County, Sheqi County, Tanghe County, Tongbai County, Xixia County, Xichuan County, Xinye County, and Zhenping County are 0.689, 0.121, 0.864, 0.276, 0.250, 0.277, 0.568, 0.290, 0.386, 0.277, 0.299, and 0.231, respectively.
F. Calculate a relative development index:
c _ ym-iUS^-USi*
S - h=l -jTUS* is a normalized value of an urban scale structure index of a studied city; USi* is a normalized value of an urban scale structure index of a city i; di* is a weight distance between the studied city and the city i; and m is a number of cities in the study region. A linear distance between counties (cities) is calculated by a GIS, Baidu Map (https://map.baidu.com) is used to calculate a time distance between the counties (cities), the weight distance is calculated by using =-^d/ + ^-<
p+q p+q a formula . Herein, it is determined that influence of the time distance and the linear distance is equal, and p=q=l.
Cities with a shorter weight distance influence each other more greatly. In this embodiment, three cities (counties) nearest a studied county/city are selected, and calculation is conducted by c _ ym-lUS^-USi* ^-Zi=i d.( using a formula 1 to obtain relative development indexes S. 12 counties (cities) subordinate to Nanyang City are Dengzhou City, Fangcheng County, Nanyang City, Nanzhao County, Neixiang County, Sheqi County, Tanghe County, Tongbai County, Xixia County, Xichuan County, Xinye County, and Zhenping County. Through calculation, S values of the 12 counties (cities) are 2.960, -5.158, 7.124, -1.131, -0.640, -0.976, 0.498, -0.418, 2.046, -0.870, -4.142, and -4.850, respectively. Formulate a planning scheme based on a value of S:
If S>0, in a region, a scale development rate of a city is higher than that of a surrounding city, the economy grows at a high speed, and an urbanization process is in a rapid improvement stage, this region has a greater development potential, and in this case, an incremental planning scheme should be adopted, for example, Nanyang City, Dengzhou City, and Xixia County.
If S=0, in a region, a scale development rate of a city is lower than that of a surrounding city, the economy sustainably grows, an internal structural adjustment of the city is intensified, but an expansion trend is obviously limited, the city enters a new development transformation stage, and in this case, a stock planning scheme should be adopted, for example, Tongbai County and Neixiang County.
2019101466 27 Nov 2019
If S<0, in a region, urban economic growth is slow, a population size is reduced and efficiency of urban-land utilization is low, and in this case, reduction planning needs to be conducted to change an urbanization development trend, for example, Fangcheng County, Zhenping county, and Xinye county.
G. Calculate a quantified area:
It is learned through calculation that a ratio of a normalized S value Si* of a city to a sum of normalized values of all cities in a region is B; assuming that an overall planning area of the region is set to Area, after B is multiplied by Area, a value F of an area to be expanded in the city s· is obtained, where [_1 1 , n is a number of cities in the region, and
F = B * Area
An S value of each city (county) of Nanyang City is normalized, and a ratio of a normalized S value of each city (county) of Nanyang City to a sum of normalized values of all cities in the region is B. B values of Dengzhou City, Fangcheng County, Nanyang City, Nanzhao County, Neixiang County, Sheqi County, Tanghe County, Tongbai County, Xixia County, Xichuan County, Xinye County, and Zhenping County are 0.144, 0, 0.218, 0.071, 0.080, 0.074, 0.100, 0.084, 0.128, 0.076, 0.018, and 0.005, respectively.
Through field investigation and comparison of people's cognition of urbanization levels of counties and cities in Nanyang City, a ranking of B values is obviously consistent with a current urbanization development level and a future trend of the counties and cities. Actually, Nanyang City and a line between Xixia County and Dengzhou City are most potential urbanization regions clearly marked in development planning of Nanyang City. The urban development of Nanyang City in 2016 and 2017 is very similar to the conclusion drawn by the present invention, which conforms to the actual urban development situation and demand.
Claims (5)
- What is claimed is:1. A method for determining a future urban expansion mode, wherein the method is implemented according to the following steps:A. measuring urban-related data;B. calculating a population size development speed:R = = rPofl --) 1 dt 0 \ K/ wherein P is a regional population, Po is a regional population at an initial stage of a study, r is a maximum relative growth rate of a region that can be promoted by a limiting factor in a regional population growth condition, K is a maximum population that the region can accommodate, that is, Pmax = K, and parameters r and K are obtained through linear calculation by using a nonlinear least square method;C. calculating an urban land-use scale development speed:Lj = ES =* IOO'% wherein ES is an annual average expansion rate of urban land, La is an urban built-up area at the initial stage of the study; Lb is an urban built-up area at a final stage of the study, and n is study duration;D. calculating an urban economic development speed:Ei=bK wherein , and ; em is an output value of an mth economic sector or element of a city and a relevant part of a neighboring city, Em is an output value of the mth economic sector or element of the city; x is a year; y is a GDP value of secondary and tertiary industries of the studied city; and n is study duration;E. constructing an urban scale structure index evaluation model:US = «iPj + ot2L; + a3E3 ai, a?, and ar are weight coefficients; ai, a2, and ar are obtained by using an expert investigation method; and ai, ar, and ar are 0.3571, 0.3286, and 0.3143, respectively;F. calculating a relative development index:c _ ym-lUS'-USi*2019101466 27 Nov 2019 wherein, US* is a normalized value of an urban scale structure index of a studied city; USi* is a normalized value of an urban scale structure index of a city i; di* is a calculated weight distance between the studied city and the neighboring city i; and m is a number of cities in the study region;G. formulating a planning scheme based on an S value:if S>0, in a region, a scale development rate of a city is higher than that of a surrounding city, the economy grows at a high speed, and an urbanization process is in a rapid improvement stage, this region has a greater development potential, and in this case, an incremental planning scheme should be adopted;if S=0, in a region, a scale development rate of a city is lower than that of a surrounding city, the economy sustainably grows, an internal structural adjustment of the city is intensified, but an expansion trend is obviously limited, the city enters a new development transformation stage, and in this case, a stock planning scheme should be adopted; and if S<0, in a region, urban economic growth is slow, a population size is reduced and efficiency of urban-land utilization is low, and in this case, reduction planning needs to be conducted to change an urbanization development trend;H. calculating a quantified area:it is learned through calculation that a ratio of a normalized S value Si* of a city to a sum of normalized values of all cities in a region is B; assuming that an overall planning area of the region is set to Area, after B is multiplied by Area, a value F of an area to be expanded in the city s?B =—Arj s* is obtained, wherein 1=1 1 , n is a number of cities in the region, andF = B * Area
- 2. The method for determining a future urban expansion mode according to claiml, wherein the urban-related data comprises a total number P of urban permanent population, an urban built-up area L, an urban industry E-index, and a linear distance and a traffic distance between urban residents.
- 3. The method for determining a future urban expansion mode according to claiml, whereinUS-USmin USi-US; __ _____________1Ώ1Π f _ LJ1 ULjlmin -usma„-usmi„ , us: -USi mas min Qjqr] k-L-Jiniax ’-'Jlmm
- 4. The method for determining a future urban expansion mode according to claiml, wherein _ d — dmjnJ __ J amax .2019101466 27 Nov 2019 whereinΊτηϊπ 'inia.x min
- 5. The method for determining a future urban expansion mode according to claiml, wherein p+q p+q , wherein di* represents a normalized value of a linear distance between two cities, dt* represents a normalized value of a time distance between two cities, and p and q are weights, preferably, normalization processing of di and dt are conducted by using the following formula:d-d , wherein d* represents a normalized distance, d represents a distance before normalization, and dmin and dmax respectively represent a minimum distance value and a maximum distance value.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112035584A (en) * | 2020-08-28 | 2020-12-04 | 北京清华同衡规划设计研究院有限公司 | Space planning scene simulation method and system |
| CN113487191A (en) * | 2021-07-09 | 2021-10-08 | 深圳大学 | City development state evaluation method and device, terminal equipment and storage medium |
| US11270397B2 (en) * | 2019-01-25 | 2022-03-08 | Southeast University | Automatic urban land identification system integrating business big data with building form |
| CN116957622A (en) * | 2023-07-06 | 2023-10-27 | 成都理工大学 | Urban mass urban economic development characteristic change analysis method combining noctilucent remote sensing |
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2019
- 2019-11-27 AU AU2019101466A patent/AU2019101466A4/en not_active Ceased
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| US11270397B2 (en) * | 2019-01-25 | 2022-03-08 | Southeast University | Automatic urban land identification system integrating business big data with building form |
| CN112035584A (en) * | 2020-08-28 | 2020-12-04 | 北京清华同衡规划设计研究院有限公司 | Space planning scene simulation method and system |
| CN112035584B (en) * | 2020-08-28 | 2024-04-12 | 北京清华同衡规划设计研究院有限公司 | Space planning scenario simulation method and system |
| CN113487191A (en) * | 2021-07-09 | 2021-10-08 | 深圳大学 | City development state evaluation method and device, terminal equipment and storage medium |
| CN113487191B (en) * | 2021-07-09 | 2022-05-10 | 深圳大学 | City development state evaluation method and device, terminal equipment and storage medium |
| CN116957622A (en) * | 2023-07-06 | 2023-10-27 | 成都理工大学 | Urban mass urban economic development characteristic change analysis method combining noctilucent remote sensing |
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