Portable estimation tool and method facilitating statistics of urban updating and demolition cost

Abstract

The invention relates to the technical field of urban planning and computer decision support, and discloses a portable estimation tool and method convenient for counting urban updating and demolition cost, firstly, a hierarchical evaluation index system is constructed based on an improved analytic hierarchy process through a basic value evaluation module, and individual basic value of each updating unit is scientifically calculated; then, through a cooperative benefit evaluation module, each updating unit is constructed into a network model, and the cooperative benefit between any two units is quantitatively calculated based on coupling functions such as infrastructure sharing and industrial linkage; and finally, the combination benefit decision-making module updates the combination according to the user designation. According to the method, the limitation of traditional individual evaluation is overcome, the systematic value-added effect of the vast update is revealed and quantified, a more scientific and accurate quantitative decision basis is provided for urban update planning, and the comprehensive benefits of planning are remarkably improved.

Description

Technical Field

[0001] This invention relates to the field of urban planning and computer decision support technology, specifically to a portable estimation tool and method for facilitating the calculation of urban renewal and demolition costs. Background Technology

[0002] As a core driving force for improving the quality of urban space, the scientific nature of urban renewal planning decisions is crucial. A key step in formulating urban renewal strategies is to evaluate numerous potential renewal sites or projects (hereinafter collectively referred to as "renewal units") to determine development priorities, the rationality of resource allocation, and the final planning blueprint.

[0003] The current mainstream technical approach in the industry primarily revolves around the intrinsic value of individual urban renewal units. Specifically, planners or research institutions conduct in-depth analyses of a particular unit, examining its geographical location, land costs, current building condition, accessibility, and expected financial returns, among other attributes. The aim of this approach is to accurately assess the feasibility and development value of individual projects. The logic is that by ensuring each selected project is of "high quality," the overall planning scheme comprised of these projects will also be reasonable.

[0004] However, a city is an organic whole comprised of diverse functional elements tightly interconnected through a complex network, rather than a simple collection of unrelated plots. The aforementioned assessment method, which focuses on the value of individual units, inherently and fundamentally neglects the network-connected nature of a city as a complex system. This method treats each renewal unit as an independent, closed entity, thus severing the potential interactions between them at the source of the assessment and failing to identify and quantify the systemic value-added effects that may arise from the collaborative renewal of multiple units.

[0005] This technological deficiency leads to significant practical dilemmas. For example, a conveniently located unit and an adjacent unit with outdated industries, if assessed in isolation, might be abandoned due to their low value. However, if both are upgraded together, functional replacement and spatial reorganization could create a vibrant "residential + employment" area, generating substantial synergistic benefits far exceeding the sum of their individual values. Under the current technological framework, this potential "synergistic benefit" is invisible and immeasurable. Therefore, the decision-making process is forced to revert to a vague reliance on macro-level qualitative principles or to the planners' subjective experience and judgment, lacking an objective and scientific basis for comparing the merits of different "integrated urban renewal" combinations. This not only results in a final planning scheme that may be far from optimal in terms of systemic aspects but also leads to the waste of the enormous potential of urban renewal in promoting the overall upgrading of regional functions and improving the efficiency of spatial resource allocation, causing a hidden loss of value. Summary of the Invention

[0006] To address the shortcomings of existing technologies, this invention provides a portable estimation tool and method for facilitating the calculation of urban renewal demolition costs. This solves the technical problem in existing urban renewal planning where isolated evaluation of renewal projects neglects the synergistic effects between units, resulting in the overall planning's comprehensive benefits not being optimized.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a portable estimation tool and method for facilitating the calculation of urban renewal demolition costs.

[0008] The first aspect of this invention provides an urban renewal unit evaluation and collaborative planning system. This system can objectively evaluate individual renewal units and quantify the collaborative gains of different unit combinations at the system level, providing support for scientific decision-making in urban renewal.

[0009] The system includes:

[0010] The basic value assessment module is used to calculate the individual basic value of each urban renewal unit within a plurality of urban renewal units, based on a pre-defined hierarchical evaluation index system. This module decomposes complex decision-making problems into multi-level specific indicators, achieving standardized and quantitative assessment of the intrinsic value of individual units.

[0011] The synergistic benefit assessment module is used to construct the plurality of urban renewal units as nodes in a network model and calculate the synergistic benefits between any two urban renewal units. By introducing a network analysis perspective, this invention can model and quantify the potential connections between units, such as infrastructure sharing and industrial linkages, which is a fundamental breakthrough from the traditional isolated assessment model.

[0012] The combined benefit decision-making module is used to calculate the total benefit of a selected urban renewal combination based on the individual basic values ​​and synergistic benefits. This module can reveal the system gain of "1+1>2", allowing decision-makers to intuitively compare the comprehensive value of different planning schemes, thereby optimizing resource allocation.

[0013] In one possible implementation, the basic value assessment module calculates indicator weights using a modified analytic hierarchy process (AHP). Specifically, to enhance the scientific rigor and logical consistency of group decision-making, this module first bases its calculations on a group comprehensive judgment matrix G = g, which integrates the judgments of multiple experts. jl A quasi-optimal transfer matrix P = p with good transitivity can be constructed using the following formula. ij :

[0014]

[0015] Here, n represents the number of indicators at the current level. This step, through mathematical transformation, effectively corrects potential logical inconsistencies in expert subjective judgment, improving the objectivity of weight calculation. Subsequently, based on this matrix, the weight coefficients of each indicator are calculated, ultimately yielding the individual basic value of each unit.

[0016] In another possible implementation, to further balance the impact of the indicator system structure, the basic value assessment module can also adjust the initial weight coefficients based on the number of sub-indicators contained in each indicator when calculating the weight coefficients. This ensures the fairness of the indicator system and avoids the problem of improper dilution of the upper-level weights of branches with a large number of factors.

[0017] In one possible implementation, the synergistic benefit evaluation module treats each urban renewal unit as a node in a network model, uses the relationship between any two units as an edge connecting the nodes, and uses the quantified synergistic benefits as the weight of the edge. Specifically, for any two urban renewal units n i and n j The synergistic benefits w_i j between them can be calculated using the following formula:

[0018]

[0019] Wherein, C_l(n_i,n_j) is a predefined coupling function for the l-th type of synergy, β_l is the importance coefficient of this synergy, and q is the total number of synergy types. The coupling function may include at least one of the following: an infrastructure synergy function based on infrastructure sharing potential calculation, an industry linkage synergy function based on industry type correlation calculation, or a public service synergy function based on the service radius coverage of public service facilities. This design allows complex synergy relationships to be specifically quantified and calculated.

[0020] In one possible implementation, the combined benefit decision module obtains the total benefit of the updated combination by summing the individual basic values ​​of all units in an updated combination and adding the sum of all synergistic benefits of the pairwise interactions between these units.

[0021] In a preferred implementation, the system further includes a combinatorial optimization module, which can perform optimization calculations with the total benefit as the objective function under preset resource constraints (such as total investment, total development area, etc.), thereby automatically identifying and recommending the optimal updated combination that maximizes global value.

[0022] A second aspect of this invention provides a method for urban renewal unit assessment and collaborative planning, which is executed by a computer and includes the following steps:

[0023] First, based on a pre-defined hierarchical evaluation index system, the individual basic value of each urban renewal unit in a plurality of urban renewal units is calculated;

[0024] Next, the plurality of urban renewal units are constructed as nodes in a network model, and the synergistic benefits between any two urban renewal units are calculated.

[0025] Finally, based on the selected urban renewal units and the resulting renewal combination, the total benefit of the renewal combination is calculated using the individual basic values ​​and the synergistic benefits.

[0026] The present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, it implements the method described above.

[0027] The present invention also provides a storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described above.

[0028] This invention provides a portable estimation tool and method for easily calculating urban renewal demolition costs. It offers the following advantages:

[0029] 1. This invention elevates the evaluation of previously isolated urban renewal units to a systematic and interconnected global perspective by constructing a comprehensive system integrating basic value assessment, synergistic benefit assessment, and combined benefit decision-making. This system not only assesses the value of the units themselves, but more importantly, reveals and quantifies the interactions between units, thereby overcoming the limitations of existing technologies that can only perform fragmented analysis of individual projects, and achieving a more comprehensive and holistic scientific evaluation of urban renewal projects.

[0030] 2. This invention innovatively abstracts urban renewal units into nodes in a network model by establishing a synergistic benefit assessment module. It utilizes coupling functions such as infrastructure sharing and industrial linkage to transform the originally vague and qualitative "synergistic effect" between units into precise and measurable synergistic benefit values. This method makes the systemic added value of "1+1>2" visible and calculable, solving the technical problem that existing technologies cannot quantify and assess the additional gains brought about by large-scale urban renewal, and providing a core basis for maximizing value.

[0031] 3. This invention, through its combined benefit decision-making module and clearly defined total benefit calculation formula, provides decision-makers with an objective and unified benchmark to compare different urban renewal combination schemes. Decision-makers only need to define different unit combinations, and the system can automatically calculate the total benefit value for each, making their advantages and disadvantages immediately apparent. This completely changes the previous reliance on qualitative judgment and personal experience for scheme comparison, providing strong and reliable quantitative data support for urban renewal planning decisions, and significantly improving the scientific nature and transparency of decision-making.

[0032] 4. This invention introduces an optional combination optimization module, using the total benefit of the updated combination as the optimization objective. It allows users to input realistic constraints such as investment budgets and renovation areas, enabling it to automatically search through a vast array of possibilities and determine the optimal updated combination that maximizes the total benefit. This ensures that the planning scheme is no longer limited to a few "relatively optimal solutions" among alternatives, but rather searches for "theoretically optimal solutions" globally. This avoids suboptimal decisions due to insufficient evaluation methods and ensures that public resources and market investment are allocated to the project combinations with the highest value output.

[0033] 5. This invention, through its unique evaluation mechanism, can identify and highlight "potential units" that have low individual basic value and are easily overlooked in traditional evaluations, but can generate significant synergistic benefits when combined with other units. This ability to discover "hidden value" guides planners to move beyond the confines of individual unit value and focus more on optimizing functional layout and building industrial ecosystems. This allows for a more comprehensive exploration of the enormous potential of urban renewal in improving overall regional functions and enhancing space utilization efficiency, achieving comprehensive social and economic benefits far exceeding the simple summation of individual project values. Attached Figure Description

[0034] Figure 1 This is one of the schematic diagrams of the method flow of the present invention;

[0035] Figure 2 This is one of the schematic diagrams of the method flow of the present invention;

[0036] Figure 3 This is a schematic diagram of the method flow of the present invention. Detailed Implementation

[0037] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0038] Example 1

[0039] See attached document Figures 1-3 This is a schematic diagram of the functional modules of an urban renewal unit assessment and collaborative planning system according to an embodiment of the present invention. This embodiment provides an urban renewal unit assessment and collaborative planning system, which can be deployed on a single server or implemented in a distributed computing environment composed of multiple servers communicating via a network. The system provides quantitative decision support for the systematic planning of urban renewal by executing a series of calculation steps.

[0040] A flowchart illustrating an urban renewal unit assessment and collaborative planning method according to an embodiment of the present invention. The method details the system's workflow, which may include the following core steps:

[0041] Step S201: The system receives and processes the basic data of multiple urban renewal units within the area to be evaluated, and calculates the individual basic value of each urban renewal unit through the basic value assessment module.

[0042] Step S202: The synergistic benefit assessment module receives the unit information output by the basic value assessment module, constructs all urban renewal units into a network model, and quantifies the synergistic benefits between any two urban renewal units.

[0043] Step S203: The combined benefit decision module receives the user-specified urban renewal combination consisting of at least two urban renewal units, and calculates the total benefit of the urban renewal combination based on the individual basic value calculated in step S201 and the synergistic benefit calculated in step S202.

[0044] Step S204: Optionally, the combinatorial optimization module, based on the computing power of the combinatorial benefit decision module and under the resource constraints set by the user, automatically seeks the optimal updated combination that maximizes the total benefit, and outputs the final result to the user terminal.

[0045] The system's overall workflow begins with data input. Users submit geographic information data of the area to be evaluated, attribute data of each update unit (such as current land use status, industrial contribution, etc.), and expert group's judgment data on the evaluation indicator system to the system through the input interface.

[0046] First, this data is transmitted to the basic value assessment module. This module is the core of the individual unit assessment and contains a hierarchical evaluation index system. Based on this system, the module uses an improved analytic hierarchy process (AHP) to process the expert judgment data and calculate the global weights of all indicators within the system. Subsequently, combined with the attribute data of each urban renewal unit, a standardized individual basic value is calculated for each independent urban renewal unit, representing its own level of merit. This value forms the basis for all subsequent analyses.

[0047] After the calculations are completed, the basic value assessment module transfers all urban renewal units and their corresponding individual basic value data to the synergistic benefit assessment module. The core task of this module is to reveal the hidden connections between units. It first abstracts all units into nodes in a network diagram, and then, based on various pre-defined synergistic effect models (such as infrastructure sharing and industrial linkage), analyzes the interaction strength between any two nodes and quantifies this strength into a specific numerical value, namely, the synergistic benefit. This process integrates the originally discrete unit data into an interconnected value network.

[0048] Subsequently, the combined benefit decision-making module intervenes. When the user selects one or more updated combination schemes composed of different units through the interface, this module retrieves the individual basic value of the selected units from the basic value assessment module and the synergistic benefits between these units from the synergistic benefit assessment module. It integrates these values ​​through a comprehensive calculation formula and finally outputs the "total benefit" of each alternative scheme. This total benefit intuitively reflects the comprehensive value of the entire scheme, rather than simply the sum of the values ​​of individual units.

[0049] In a preferred implementation, to achieve a higher level of decision-making automation, the system also includes a combinatorial optimization module. This module works closely with the combinatorial benefit decision-making module. Users can set boundary conditions for the planning, such as a total investment ceiling or a maximum development area. The combinatorial optimization module then uses "total benefit" as the optimization objective, automatically searching and calculating across all possible unit combinations, and ultimately recommending one or more optimal updated combination schemes that maximize total benefit while satisfying constraints. The results are finally presented to planning decision-makers through an output interface in the form of visual charts or reports.

[0050] Example 2

[0051] See attached document Figures 1-3 In this embodiment, the specific implementation of the basic value assessment module is described in detail. This module is the cornerstone of the entire system's quantitative assessment. Its core lies in transforming the complex attributes of urban renewal units into a single, comparable individual basic value through a structured indicator system and a set of rigorous mathematical methods.

[0052] First, the basic value assessment module pre-constructs a hierarchical evaluation index system. In this embodiment, the system is designed with a four-layer structure. The top layer is the target layer A, namely "comprehensive value of urban renewal units"; the second layer is the condition layer B, which decomposes the target into several key aspects, such as value condition B1, implementation condition B2, and benefit condition B3; the third layer is the criterion layer C, which further refines the condition layer, such as value condition B1 being subdivided into location value C11, land value C12, etc.; the bottom layer is the factor layer D, which contains specific evaluation factors that can be directly measured or standardized, such as traffic accessibility D111. This system decomposes a macro-level evaluation target into specific, operable, and quantifiable indicators step by step.

[0053] After the indicator system is established, the basic value assessment module initiates the weight calculation process, which is based on an improved analytic hierarchy process. First, the system collects judgment data from m experts on the non-factor layers (i.e., condition layer B, criterion layer C, etc.) of the indicator system. For any layer, each expert k needs to perform pairwise comparisons of the n indicators at that layer, thereby constructing their personal judgment matrix A~(k).

[0054] Next, the module synthesizes the judgments of all experts to form a collective opinion of the group. It calculates the group's synthesized judgment matrix G using the arithmetic mean method, where the matrix elements g... il Determined by the following formula:

[0055] This step effectively pools collective wisdom and smooths out extreme biases that may arise from individual judgments.

[0056] To further enhance the logical consistency of decision-making, the module performs a crucial optimization operation on the group comprehensive judgment matrix G, namely, constructing a quasi-optimal transitivity matrix P. This process aims to eliminate or mitigate potential contradictions in the original judgment data regarding non-transitivity (e.g., A is more important than B, B is more important than C, but C is more important than A). The calculation process is as follows: first, a transition matrix B is calculated through a logarithmic transformation, whose elements b... ij for:

[0057]

[0058] Subsequently, the final quasi-optimal transfer matrix P is obtained through exponential transformation, with its elements p_ij being:

[0059] p ij =exp(b ij )

[0060] Through this mathematical construction, the resulting matrix P is theoretically completely consistent, laying a solid foundation for the accurate calculation of subsequent weights.

[0061] After obtaining a judgment matrix P with good consistency, the module uses the root method to solve for its eigenvectors, thereby obtaining the initial weight coefficients ω′ of each index. i The process consists of two steps: first, calculating the components w'_i of the vector, and then performing normalization.

[0062]

[0063] Considering that the number of sub-indicators under different higher-level indicators may vary during the design of the indicator system, this embodiment introduces a weight correction mechanism to avoid inappropriate dilution of the weight of higher-level indicators for branches with a large number of sub-indicators. The module counts the number S_i of the next-level sub-indicators directly contained in each indicator i, and calculates the final weight coefficient ω_i using the following formula:

[0064]

[0065] By repeatedly executing the above weight calculation process for each level of the indicator system, the basic value assessment module can obtain the weights of all indicators within the system relative to their superior level. The global weight ω of a bottom-level (factor layer D) indicator... global,i It is the result of multiplying its own weight by the weights of all its superior branch indicators in sequence.

[0066] Finally, the module proceeds to the stage of calculating the individual fundamental value of a single urban renewal unit. For a specific urban renewal unit, the system obtains its raw data x_i across all factor-level indicators. This raw data is then transformed into standardized factor scores Score_i using a pre-defined standardization function, such as y = kx or y = k(1-x). Ultimately, the individual fundamental value V_u of this urban renewal unit is derived by the weighted sum of all factor scores:

[0067]

[0068] Here, N_f represents the total number of factor-level indicators. The calculated V_u value is a comprehensive and quantitative representation of the intrinsic value and development potential of the update unit.

[0069] Example 3

[0070] See attached document Figures 1-3 In this embodiment, the specific implementation of the collaborative benefit assessment module is described in detail. This module receives the output of the basic value assessment module, and its core function is to go beyond the isolated analysis of a single update unit, and instead reveal and quantify the additional value that may be generated by collaborative development between different update units from a systematic and networked perspective.

[0071] This module first constructs the collaborative network model. During this process, the collaborative benefit assessment module abstracts all urban renewal units to be evaluated within the planning area into a weighted undirected graph H = (N, E) at the data level. In this network model, each node n in the node set N... i Each of these corresponds uniquely to a real urban renewal unit, and is valued based on its individual fundamental value. As a fundamental attribute of nodes. Also, each edge e in the edge set E... ij This represents node n. i With n j There is a potential, quantifiable interaction between the two corresponding urban renewal units.

[0072] After the model is built, the core task of the module is to process each edge e in the network. ij Assign a precise weight value W ij This weight is a quantitative description of the synergistic effect between the two units. In this embodiment, the synergistic effect is considered as a comprehensive result of the combined effect of multiple different types of correlation effects. Therefore, the weight W... ij The calculation is performed using the following formula:

[0073]

[0074] In this formula, q represents the total number of synergy types predefined in the system. β_l is the importance coefficient of the l-th synergy, reflecting the importance of this type of synergy in the context of urban renewal in a specific city. This coefficient can be pre-determined by an expert group using methods such as AHP, and satisfies ∑β l =1. C1(n1,n j ) is a key coupling function used for the specific computational units n1 and n j The strength of association in the l-th type of synergistic effect.

[0075] To concretize the calculation of synergistic benefits, this embodiment presupposes three typical coupling functions: the first is the infrastructure synergistic function C. infra (n i ,n j (This letter C) infra (n i ,n j The cost savings or efficiency improvements that can be achieved when two units are jointly developed due to the sharing or co-construction of infrastructure (such as roads, pipelines, substations, etc.). Its calculation can be modeled based on factors such as the geographical proximity of the two units, the planned infrastructure capacity, and demand. For example, it can be a function inversely proportional to the distance between units and directly proportional to the potential for facility sharing.

[0076] The second type is the industry linkage and synergy function C. ind (n i ,n j This function is used to evaluate the complementarity or agglomeration effect of two units in their industrial planning. The module analyzes the industry types planned for each of the two units (e.g., unit n). i Planned for R&D offices, unit n j (Planned as high-end manufacturing), and based on a pre-defined industry association knowledge base, it determines whether these can constitute upstream and downstream relationships in the industrial chain, or whether they can form an industrial cluster, thereby generating additional economic benefits. The output value of the function is positively correlated with the tightness of the industry association.

[0077] The third type is the public service coordination function C. pub (n i ,n j This function evaluates the positive externalities of a newly constructed public service facility (such as a park, school, or cultural center) in one unit on another unit. Its calculation can be based on the service radius and service capacity of the public service facility, as well as data such as the population density and demand for the service in the other unit. For example, when unit n... j Exactly located in cell n i When C is within the enrollment service radius of a newly built high-quality school pub (n i ,n j The value of ) will increase significantly.

[0078] The synergy benefit assessment module evaluates the benefits of collaboration among all units within the region (n) i ,n j Calculate its synergistic benefits W ij Ultimately, a value network was constructed from discrete units. This network no longer only contains the value information of each unit itself, but more importantly, it quantitatively depicts a "synergistic map" of the interactions and mutual benefits between units, providing crucial input for subsequent combinatorial planning and decision-making.

[0079] Example 4.

[0080] See attached document Figures 1-3 In this embodiment, the specific implementation methods of the combined benefit decision-making module and the combined optimization module are described in detail. These two modules constitute the top layer of the decision support capability of this invention. They integrate and enhance the basic value and synergistic benefits calculated by the bottom-level modules, and finally output strategic recommendations with a global perspective that can directly guide planning practices.

[0081] The core function of the combined benefit decision-making module is to respond to any user-defined update combination P and calculate its total benefit. An update combination P is a subset of the complete set N of all candidate update units within the planning area, i.e. This module obtains the value of each unit n within portfolio P from the basic value assessment module. i Individual basic value And obtain any two units n within this combination from the synergy benefit evaluation module. i With n j Synergistic benefits between W ij .

[0082] Total benefits V P The calculation is not a simple summation of individual fundamental values, but is derived through the following comprehensive formula:

[0083]

[0084] This formula clearly shows that the overall value of a large-scale urban renewal project is equal to the sum of the intrinsic values ​​of all units within the project, plus the sum of all synergistic gains between these units due to spatial proximity, functional complementarity, or industrial linkages. This calculation method makes previously invisible systemic value visible and measurable.

[0085] To illustrate the application value of this module more concretely, consider the following scenario: A planner faces a region and needs to decide whether to prioritize option A, consisting of units n1 and n2, or option B, consisting of units n1 and n3. Assume the basic value of unit n2 is... Higher than unit n3 Traditional evaluation methods tend to favor option A. However, the combined benefit decision module of this invention calculates the total benefits of both options separately. and If there is a very strong industrial linkage and synergy benefit between units n1 and n3, W 13 And the synergistic effect W with n2 12 If it is relatively weak, then it is entirely possible that it will occur. The results reveal a non-obvious, superior planning path, thus avoiding suboptimal decisions caused by being limited by individual value assessments.

[0086] In a preferred implementation of this embodiment, the system further includes a combinatorial optimization module to automate and optimize decision-making. The user can input actual resource constraints into this module, such as the total investment budget for the project not exceeding B. max Or the total area of ​​land to be renovated cannot exceed A max The combined optimization module will increase the total benefit V. PAs the objective function to be maximized, the user's input is used as a constraint to construct a combinatorial optimization problem.

[0087] This module can integrate one or more mature optimization algorithms, such as integer programming, genetic algorithms, or simulated annealing. It automatically performs iterative searches and evaluations across thousands of possible update combinations to find the algorithm that maximizes the total benefit V while satisfying all constraints. P The optimal updated combination P that reaches the maximum value is then determined. Finally, the module outputs this optimal combination and its expected total benefit as a final decision recommendation to the user. This function greatly improves the scientific rigor and efficiency of planning, freeing decision-makers from tedious comparisons and allowing them to focus on strategic considerations.

[0088] The method described below for a portable estimation tool that facilitates the calculation of urban renewal demolition costs can be referred to in conjunction with the portable estimation tool described above for the calculation of urban renewal demolition costs.

[0089] Specific steps:

[0090] Step 1: Based on the pre-set hierarchical evaluation index system, calculate the individual basic value of each urban renewal unit in the plurality of urban renewal units;

[0091] Step 2: Construct a plurality of urban renewal units as nodes in a network model, and calculate the synergistic benefits between any two urban renewal units;

[0092] Step 3: Based on the selected urban renewal units and the resulting urban renewal combination, calculate the total benefit of the urban renewal combination according to the individual basic value and the synergistic benefits.

[0093] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A portable estimation tool and method for facilitating the calculation of urban renewal demolition costs, characterized in that, include, The basic value assessment module is used to calculate the individual basic value of each urban renewal unit in a plurality of urban renewal units based on a preset hierarchical evaluation index system. The collaborative benefit assessment module is used to construct multiple urban renewal units as nodes in a network model and calculate the collaborative benefits between any two urban renewal units. The combined benefit decision-making module is used to calculate the total benefit of the urban renewal combination based on the individual basic value and synergistic benefits, according to the selected urban renewal units that make up the renewal combination.

2. The portable estimation tool and method for facilitating the calculation of urban renewal demolition costs as described in claim 1, characterized in that, The basic value assessment module is specifically used to: calculate the weight coefficient of each indicator in the hierarchical evaluation index system using an improved analytic hierarchy process. The basic value of each individual is calculated based on the weighting coefficients and the underlying indicator data of each urban renewal unit.

3. The portable estimation tool and method for facilitating the calculation of urban renewal demolition costs as described in claim 2, characterized in that, The basic value assessment module, when calculating weight coefficients using the improved analytic hierarchy process, is also used for: based on a group comprehensive judgment matrix G = g that integrates the judgments of multiple experts. jl Construct the quasi-optimal transfer matrix P = p ij To optimize logical consistency, in: Where n is the number of indicators at the current level.

4. The portable estimation tool and method for facilitating the calculation of urban renewal demolition costs as described in claim 2, characterized in that, When calculating the weight coefficients, the basic value assessment module is also used to: after obtaining the initial weight coefficients, correct the initial weight coefficients according to the number of sub-indicators contained in each indicator to obtain the final weight coefficients.

5. The portable estimation tool and method for facilitating the calculation of urban renewal demolition costs as described in claim 1, characterized in that, The collaborative benefit assessment module is specifically used to: treat each of the urban renewal units as a node in the network model; The relationship between any two urban renewal units is used as an edge connecting the corresponding nodes; The synergistic benefits are used as the weights of the corresponding edges.

6. The portable estimation tool and method for facilitating the calculation of urban renewal demolition costs as described in claim 5, characterized in that, The synergy benefit assessment module calculates the synergy benefits for any two urban renewal units n using the following formula. i and n j Synergistic benefits between W ij : Wherein, C1(n i ,n j ) is the pre-defined coupling function for the first type of synergistic effect, β1 is the importance coefficient of the first type of synergistic effect, and q is the total number of synergistic effect types.

7. A portable estimation tool and method for facilitating the calculation of urban renewal demolition costs, as described in claim 6, is characterized in that... The coupling function includes at least one of the following: an infrastructure coordination function based on infrastructure sharing potential calculation, an industry linkage coordination function based on industry type correlation calculation, or a public service coordination function based on public service facility service radius coverage calculation.

8. The portable estimation tool and method for facilitating the calculation of urban renewal demolition costs as described in claim 1, characterized in that, The combined benefit decision-making module is specifically used for: Sum the individual basic values ​​of all urban renewal units in the aforementioned renewal combination; Sum the synergistic benefits between all pairs of urban renewal units in the aforementioned renewal combination; Adding the two summation results together yields the total benefit of the updated combination.

9. The portable estimation tool and method for facilitating the statistical calculation of urban renewal demolition costs as described in claim 1, comprising an optimization module, used to perform optimization under preset resource constraints, with the total benefit as the objective function, to determine the optimal renewal combination.

10. A method for facilitating the calculation of urban renewal demolition costs, characterized in that, Includes the following steps: Step 1: Based on the pre-set hierarchical evaluation index system, calculate the individual basic value of each urban renewal unit in the plurality of urban renewal units; Step 2: Construct a plurality of urban renewal units as nodes in a network model, and calculate the synergistic benefits between any two urban renewal units; Step 3: Based on the selected urban renewal units and the resulting urban renewal combination, calculate the total benefit of the urban renewal combination according to the individual basic value and the synergistic benefits.

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