Economic efficiency evaluation method and system for comprehensive transportation junction project multifunctional commercial form collaborative implementation

Abstract

The invention discloses an economic evaluation method and system for multi-functional business collaborative implementation of a comprehensive transportation junction project, and belongs to the technical field of traffic infrastructure digital decision making. According to the method, aiming at the characteristics of multi-asset and multi-mode operation of the highway-railway combined transportation logistics hub, multivariate heterogeneous data are integrated by constructing a standardized data middle platform; and automatically calculating core indexes such as financial internal yield and net present value by using a configurable economic evaluation model library. The corresponding system comprises a data management module, a model engine module, an analysis visualization module and the like. According to the method, the problems of low efficiency, large error and difficulty in knowledge inheritance of traditional manual measurement and calculation are solved, automation, standardization and intellectualization of the economic evaluation process are realized, and an effective tool is provided for scientific decision-making of complex hub projects.

Description

Technical Field

[0001] This invention relates to the field of computer technology, and more specifically, to an economic evaluation method and system for the collaborative implementation of multi-functional business formats in integrated transportation hub projects. Background Technology

[0002] Driven by the new development pattern of "dual circulation" and the strategic goal of "dual carbon," my country's modern logistics system is undergoing profound changes centered on improving the overall efficiency of the supply chain. As key nodes connecting road and rail transport, the operational efficiency and economic viability of intermodal logistics hubs directly impact the implementation of national strategies. Large-scale projects, exemplified by the Guangzhou East Intermodal Hub, typically integrate various asset forms such as warehousing, distribution, industrial support, and transportation infrastructure, forming a complex system with multiple assets, entities, and operating models. Economic evaluation is crucial for project investment decisions and successful operation. However, current industry methods for evaluating the economic viability of such complex hub projects still heavily rely on traditional manual Excel calculations. This method reveals significant bottlenecks such as low efficiency, insufficient accuracy, and poor stability when facing dynamic comparisons of multiple options. For example, repeatedly calculating the investment payback period alone under multiple parameter scenarios can take weeks, and manual operation is highly susceptible to formula errors and data omissions. Meanwhile, model knowledge, reliant on personal experience, is difficult to transfer effectively, and the fragmented data creates information silos, severely hindering the scientific rigor and timeliness of management decisions. While existing general-purpose economic evaluation software and business intelligence tools each have their own focus in risk simulation or visualization, they generally lack deeply customized solutions tailored to the multi-asset synergy characteristics of intermodal transport hubs. This makes it difficult to meet the urgent needs for dynamic optimization and refined management throughout the project's entire lifecycle. Therefore, developing a specialized economic evaluation method and system has become an inevitable choice for the industry to break through development bottlenecks and achieve high-quality development. Summary of the Invention

[0003] The purpose of this application is to provide an economic evaluation method and system for the collaborative implementation of multi-functional business formats in integrated transportation hub projects. This aims to solve the technical bottlenecks in the current technology, which mainly relies on manual Excel calculations for the economic evaluation of complex projects such as road-rail intermodal logistics hubs. This results in low efficiency, poor accuracy, limited analytical dimensions, and difficulty in knowledge transfer, and fails to meet the needs of dynamic comparison and scientific decision-making of multi-asset options.

[0004] One aspect of this invention provides an economic evaluation method for the coordinated implementation of multi-functional business formats in an integrated transportation hub project, comprising the following steps: Collect operational data on diverse assets involved in warehousing, transportation, and industrial support in the road-rail intermodal logistics hub project, and standardize and encode the data. Based on a pre-set economic evaluation model, calculation parameters corresponding to the current analysis plan are configured, and the financial internal rate of return, net present value, and dynamic payback period are calculated. The calculated results are then compared across multiple dimensions. Based on the analysis report, economic evaluation results for different asset portfolio options are output.

[0005] Furthermore, the collection of operational data on diverse assets involved in the rail-road intermodal logistics hub project, including warehousing, transportation, and industrial support, and the standardization of the data encoding process, includes defining a unified field format for asset revenue and cost data and mapping it to a standardized data dictionary.

[0006] Furthermore, the calculation of financial internal rate of return, net present value, and dynamic investment payback period indicators based on the preset economic evaluation model and the configuration of calculation parameters corresponding to the current analysis scheme includes: calling the cash flow discounting algorithm and the life cycle cost analysis algorithm, adjusting the model variables according to user input, and completing the economic benefit calculation throughout the entire life cycle of the project.

[0007] Furthermore, the process of performing multi-dimensional comparisons and sensitivity analyses on the calculated indicator results to generate visual charts and analysis reports containing comparative conclusions of different schemes includes: drawing bar charts and line charts using an integrated visualization engine to show the differences and fluctuation trends of key economic indicators under different schemes.

[0008] Furthermore, the method also includes: defining a unified field format for asset revenue and cost data, mapping it to a standardized data dictionary, including determining the field names, data types, and field lengths of asset revenue and cost data to form a unified field format.

[0009] Furthermore, the method also includes: scheduling computing resources to execute tasks, and monitoring the task status until the results are returned and stored.

[0010] Furthermore, based on the analysis report, the output of economic evaluation results for different asset portfolio options includes: in business negotiation scenarios, extracting and displaying the investment payback period and internal rate of return data corresponding to specific construction schemes.

[0011] Furthermore, this also includes: during the system deployment phase, simulating multi-user concurrent access scenarios to test system response time, and performing failover drills to verify the data recovery process.

[0012] Secondly, the present invention also provides an economic evaluation system for an integrated transportation hub project, used to implement the economic evaluation method for the coordinated implementation of multi-functional business formats in an integrated transportation hub project as described in claim 1, comprising: The data management module is used to build a data platform for the economic analysis of multi-asset solutions, and to centralize and standardize the governance and storage of data on the diverse assets involved in the rail-road intermodal logistics hub project. The model engine module is used to build a pre-set economic evaluation model library, dynamically configure model parameters corresponding to project plans, and realize the automated calculation of core economic indicators such as financial internal rate of return, net present value, and dynamic investment payback period. The analysis and visualization module is used to visualize the economic indicators generated by the calculation and analysis from multiple dimensions, and to generate an economic analysis report that includes the results of scheme comparison and sensitivity analysis. The decision support module is used to provide data-driven decision support for project investment decisions, scheme optimization, and business negotiations based on the economic analysis report.

[0013] Thirdly, the present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of any of the methods for economic evaluation of the coordinated implementation of multi-functional business formats in a comprehensive transportation hub project.

[0014] Beneficial effects

[0015] The economic evaluation method and system for the collaborative implementation of multi-functional business formats in integrated transportation hub projects provided by this invention have brought significant benefits. First, by establishing a unified data platform and a standardized evaluation model library, this method completely changes the traditional manual, decentralized Excel-based calculation mode, achieving full automation from data collection and model calculation to report generation. This greatly improves the efficiency of economic evaluation work, freeing relevant personnel from tedious and repetitive data processing tasks, effectively avoiding calculation errors caused by human error, and significantly improving the accuracy and reliability of evaluation results. Second, the system's built-in multi-dimensional analysis and visualization function can intuitively display the differences in economic benefits of different asset combination schemes and their key influencing factors, helping decision-makers quickly understand the advantages and disadvantages of different schemes. This supports a fundamental shift from qualitative judgments based on personal experience to quantitative decision-making based on data models, thereby improving the scientific and refined level of project investment decisions. Furthermore, the platform digitally stores the knowledge, models, and parameters of economic evaluation, forming reusable and auditable organizational assets. This effectively solves the problem of knowledge gaps caused by personnel turnover and ensures the continuity and consistency of evaluation standards. Finally, the application of this method and system can not only optimize the selection of specific project solutions to improve return on investment, but also enhance the competitiveness of enterprises in complex market environments by empowering business negotiations and strengthening risk identification. At the same time, its successful practice provides a replicable example for the digital management of similar large-scale infrastructure projects, which helps to promote the technological progress and management modernization of the entire industry and has important promotional value and broad application prospects. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0017] Figure 1 A schematic diagram illustrating the working steps of an economic evaluation method for the coordinated implementation of multi-functional business formats in an integrated transportation hub project, as provided in one embodiment of the present invention. Figure 2 This is a schematic diagram of an economic evaluation system for the collaborative implementation of multi-functional business formats in an integrated transportation hub project, provided as one embodiment of the present invention. Detailed Implementation

[0018] The technical solutions of 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 a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0019] It should be noted that if the embodiments of the present invention involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of the components in a specific posture. If the specific posture changes, the directional indicators will also change accordingly.

[0020] Furthermore, if the embodiments of this invention involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Thus, features defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the use of "and / or" or "and / or" throughout the text implies three parallel solutions. For example, "A and / or B" includes solution A, solution B, or a solution where both A and B are satisfied. Furthermore, the technical solutions of the various embodiments can be combined, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

[0021] This invention relates to a method and system for economic evaluation of the collaborative implementation of multi-functional business formats in integrated transportation hub projects. The optimal implementation method of this invention is described in detail below, combining the technical architecture and operational procedures. The core of this invention lies in using systematic technical means to solve a series of bottleneck problems faced by complex projects such as multimodal transport logistics hubs in the economic evaluation process, including low efficiency, insufficient accuracy, limited analytical dimensions, and difficulty in knowledge transfer and solidification using traditional manual calculations. The entire implementation process follows a logical thread from underlying data processing to upper-level application decision-making, constructing a closed-loop, automated, and intelligent evaluation system.

[0022] refer to Figure 1 This invention provides an economic evaluation method for the coordinated implementation of multi-functional business formats in an integrated transportation hub project, comprising the following steps: S1. Collect operational data of various assets involved in warehousing, transportation, and industrial support in the road-rail intermodal logistics hub project, and perform standardized coding processing on the data; S2. Based on the preset economic evaluation model, configure the calculation parameters corresponding to the current analysis plan, and perform the calculation of financial internal rate of return, net present value and dynamic investment payback period indicators; S3. Perform multi-dimensional comparison and sensitivity analysis on the calculated index results, and generate visual charts and analysis reports containing the conclusions of the scheme comparison; S4. Based on the analysis report, output the economic evaluation results for different asset portfolio options.

[0023] In some embodiments, a robust and reliable data infrastructure layer, namely a data middle platform, is also constructed. The construction of this data middle platform is not simply a matter of data accumulation. In terms of technology selection, a relational database such as MySQL is typically chosen for the central database, leveraging its powerful transaction processing capabilities and stable query performance to ensure data consistency and reliability. The database table structure design must fully consider business scalability, usually establishing a standardized table structure around core entities such as "projects," "assets," "cost items," and "revenue items," and creating appropriate indexes to optimize query speed. The data middle platform must also possess a robust data security and access control mechanism. Through a Role-Based Access Control (RBAC) model, it ensures that users in different departments and positions can only access and manipulate data within their authorized scope. For example, personnel in the investment promotion department can view rental revenue data but cannot modify transportation cost data, thereby ensuring data security and privacy. The completion of this underlying data infrastructure provides a unique, accurate, and reliable data source for all subsequent economic analysis calculations, forming the cornerstone for the successful implementation of the entire method.

[0024] In some preferred embodiments, an economic evaluation model also needs to be constructed. The calculation phase of this model utilizes processed standard data to drive automated, batch calculations using a built-in economic evaluation model library. The model engine module is the execution center of this phase, integrating industry-validated and mature financial evaluation models. These models include at least a Financial Internal Rate of Return (FIRR) model for calculating project profitability, a Net Present Value (NPV) model for assessing project value creation, and a Dynamic Payback Period model for measuring investment recovery speed. These models are essentially based on Discounted Cash Flow (DCF) theory, but their calculation logic and parameter composition need to be deeply customized according to the characteristics of multi-asset synergy in intermodal transport hubs. For example, when calculating the cash flow of a hub project encompassing multiple business formats such as warehousing leasing, railway platform services, and industrial park development, the model needs to automatically aggregate rental income from warehousing operations, loading and unloading fees and platform usage fees from railway services, and property management fees from industrial parks. It also needs to aggregate corresponding construction investment costs (including land acquisition, civil engineering, and equipment procurement), operating costs (including labor, energy consumption, maintenance, and management expenses), and related tax expenditures. The key to implementing this stage lies in the model's "configurability." The system needs to provide a user-friendly and powerful web interface based on the Vue.js framework, allowing authorized users (such as financial analysts or project managers) to flexibly configure model parameters according to the needs of specific evaluation scenarios. These configurable parameters are wide-ranging and may include the project's construction and operation periods, loan amounts and interest rates from different financing channels, depreciation periods and residual value rates of fixed assets, growth forecast assumptions for various operating incomes, and inflation rate assumptions for major cost items. After users input or modify these parameters through the front-end interface, the parameter values ​​are transmitted to the back-end server built using the Spring Boot Java framework via an API interface. After receiving the calculation request and parameters, the backend service retrieves relevant standard business data from the database and combines it with the user-configured dynamic parameters, executing the calculation according to a pre-defined model algorithm. The calculation process is not an isolated operation of a single model, but often involves multiple models working collaboratively. For example, the system can first generate a cash flow statement for the entire project lifecycle based on a cash flow forecasting model, and then use this cash flow statement as input to calculate indicators such as IRR, NPV, and payback period. To improve calculation efficiency, especially to handle the massive calculation tasks that may arise during multi-option comparisons, the system also needs to introduce a calculation task management module. This module can use Java's Spring Async asynchronous task processing framework to place complex calculation tasks into a background queue for sequential execution, thereby avoiding long wait times on the front-end interface and resulting in a poor user experience. After submitting a calculation task, the user can continue with other operations, and the system will notify the user of the results through a notification mechanism upon task completion.The automated implementation of the entire model calculation phase completely eliminates the inefficient traditional method of manually writing formulas cell by cell in Excel, copying and pasting data, and repeatedly checking for errors, thus achieving standardization, accuracy, and efficiency in the calculation process.

[0025] Once the model calculation phase generates a large amount of raw indicator data, the focus shifts to transforming this data into intuitive, easy-to-understand, and insightful decision support information—the analysis and visualization phase. The goal of this phase is to transform dry numerical tables into vivid visual language, enabling decision-makers to quickly grasp the patterns and trends behind complex data. The analysis and visualization module is typically implemented by integrating the high-performance ECharts chart library. This module can generate various types of interactive charts, each serving a different analytical purpose. For example, a multi-scheme comparison bar chart can clearly display the differences in key economic indicators (such as IRR and NPV) under different investment and financing schemes, different construction scale schemes, or different operating models, allowing decision-makers to immediately see the optimal solution. A trend analysis line chart can show the predicted trends of key financial data such as revenue, costs, and net cash flow throughout the project's entire operating period, helping managers predict future operating conditions. Finally, all analytical results need to be systematically organized to form a structured economic analysis report. The system should provide a report generator function, allowing users to select the charts, data tables, and textual commentary to be included. This report not only presents the calculation results but also automatically generates conclusive descriptions based on preset rules, such as "Option A has a higher internal rate of return than the industry benchmark and is recommended for priority consideration," thereby further enhancing the automation level of decision support. Through this series of visualization and report generation methods, the method of this invention transforms economic evaluation from a professional activity that can only be interpreted by a few financial experts into a management tool that can be participated in and understood by both project management and business teams, greatly improving the transparency and collaborative efficiency of the decision-making process.

[0026] refer to Figure 2 The present invention also provides an economic evaluation system for integrated transportation hub projects, which is used to implement the economic evaluation method for the coordinated implementation of multi-functional business formats in integrated transportation hub projects as described in claim 1, comprising: The data management module is used to build a data platform for the economic analysis of multi-asset solutions, and to centralize and standardize the governance and storage of data on the diverse assets involved in the rail-road intermodal logistics hub project. The model engine module is used to build a pre-set economic evaluation model library, dynamically configure model parameters corresponding to project plans, and realize the automated calculation of core economic indicators such as financial internal rate of return, net present value, and dynamic investment payback period. The analysis and visualization module is used to visualize the economic indicators generated by the calculation and analysis from multiple dimensions, and to generate an economic analysis report that includes the results of scheme comparison and sensitivity analysis. The decision support module is used to provide data-driven decision support for project investment decisions, scheme optimization, and business negotiations based on the economic analysis report.

[0027] The specific implementation of this invention system revolves around four core components: a data platform construction module, a model calculation module, an analysis and visualization module, and a decision support module. The implementation of the data platform construction module is the cornerstone of the entire system's operation, and its primary task is to establish a unified and standardized data order in the complex operating environment of a rail-road intermodal transport hub. The implementation of this module goes far beyond simply building a database; it involves the implementation of a complete data governance process. Technically, the backend uses the Spring Boot framework to build RESTful API services. These APIs are responsible for handling data requests from the frontend Vue.js interface and interacting with the MySQL database. The database table structure design requires a high degree of abstraction of business entities. For example, a "Project Basic Information Table" is designed to store the basic attributes of different hub projects or different scheme versions of the same project; an "Asset Catalog Table" is used to define the basic parameters and classifications of various assets such as warehousing facilities, dedicated railway lines, loading and unloading equipment, and industrial supporting buildings; the "Revenue Account Table" and "Cost Account Table" adopt a tree structure design, which can flexibly define and aggregate all accounting accounts from the top-level major categories (such as "Railway Operating Revenue") to the bottom-level details (such as "Container Storage Fee" and "Freight Car Overtime Operation Fee"). This design ensures that the system can adapt to the complex and ever-changing business models of different hub projects. The implementation of the access control mechanism relies on the Spring Security framework. By defining "roles" (such as system administrators, data analysts, and business viewers) and "permissions" (such as "Data Entry," "Model Configuration," and "Report Viewing"), and associating users with roles, row-level and column-level data security control is achieved, ensuring that business department personnel can only see and operate data related to their own department. The stable implementation of the data platform construction module provides clean, consistent, and secure high-quality data fuel for upper-layer applications, which is the fundamental guarantee for the accurate execution of all subsequent complex analysis and calculation.

[0028] Thirdly, the present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of any of the methods for economic evaluation of the coordinated implementation of multi-functional business formats in a comprehensive transportation hub project.

[0029] Storage medium – any type of memory device or storage device. The term “storage medium” is intended to include: mounting media, such as CD-ROM, floppy disk, or magnetic tape devices; computer system memory or random access memory, such as DRAM, DDRRAM, SRAM, EDORAM, Rambus RAM, etc.; non-volatile memory, such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. Storage medium may also include other types of memory or combinations thereof. Furthermore, storage medium may reside in a first computer system in which a program is executed, or it may reside in a different second computer system connected to the first computer system via a network (such as the Internet). The second computer system can provide program instructions to the first computer for execution. The term “storage medium” can include two or more storage media residing in different locations (e.g., in different computer systems connected via a network). Storage medium may store program instructions (e.g., specifically implemented as a computer program) executable by one or more processors.

[0030] Of course, the computer-executable instructions provided in the embodiments of this application are not limited to the economic evaluation method for the collaborative implementation of multi-functional business formats in integrated transportation hub projects as described above, but can also execute related operations in the economic evaluation method for the collaborative implementation of multi-functional business formats in integrated transportation hub projects provided in any embodiment of this application.

[0031] The economic evaluation method and system for the collaborative implementation of multi-functional business formats in integrated transportation hub projects provided in this embodiment demonstrate outstanding comprehensive effectiveness in addressing long-standing technical bottlenecks in the industry. Its core value lies in constructing a complete digital solution that integrates data, models, analysis, and decision-making, fundamentally revolutionizing the traditional paradigm of economic evaluation. By establishing a standardized data governance system and a centralized economic model library, this system, for the first time, achieves process-oriented and automated management of economic evaluation for complex multi-asset systems such as rail-road intermodal transport hubs. It completely liberates professionals from tedious and inefficient manual calculations, not only increasing work efficiency by orders of magnitude but also greatly eliminating the accuracy risks caused by human error through the standardization and traceability of the calculation process, ensuring the scientific rigor and high credibility of the evaluation results.

[0032] The above description is only a preferred embodiment of the present invention and does not limit the patent scope of the present invention. All equivalent structural transformations made under the inventive concept of the present invention using the contents of the present invention specification and drawings, or direct / indirect applications in other related technical fields, are included within the patent protection scope of the present invention.

Claims

1. An economic evaluation method for the coordinated implementation of multi-functional formats in an integrated transport hub project, characterized in that, Comprise the following steps: Collect multi-asset operation data related to warehouse, transportation, and industrial support in the intermodal logistics hub project, and standardize and encode the data; Based on the preset economic evaluation model, configure the calculation parameters corresponding to the current analysis scheme, perform the calculation of the financial internal rate of return, net present value, and dynamic investment recovery period indicators, and perform multi-dimensional comparison of the calculated indicator results Based on the analysis report, output the economic evaluation results for different asset portfolio schemes.

2. The economic evaluation method for the coordinated implementation of multi-functional formats of an integrated transport hub project according to claim 1, characterized in that, The collection of multi-asset operation data related to warehouse, transportation, and industrial support in the intermodal logistics hub project, and the standardization and encoding of the data comprise: defining a unified field format for asset income and cost data, and mapping to a standardized data dictionary.

3. The economic evaluation method for the coordinated implementation of multi-functional formats in an integrated transport hub project according to claim 1, characterized in that, The calculation of the financial internal rate of return, net present value, and dynamic investment recovery period indicators based on the preset economic evaluation model comprises: calling the cash flow discounting algorithm and life cycle cost analysis algorithm, adjusting the model variables according to user input, and completing the economic benefit calculation for the entire life cycle of the project.

4. The economic evaluation method for the coordinated implementation of multi-functional formats of an integrated transport hub project according to claim 1, characterized in that, The multi-dimensional comparison and sensitivity analysis of the calculated indicator results to generate visual charts and analysis reports containing scheme comparison conclusions comprise: drawing bar charts and line charts through an integrated visualization engine to show the differences and fluctuation trends of key economic indicators under different schemes.

5. The economic evaluation method for the coordinated implementation of multi-functional formats in an integrated transport hub project according to claim 1, characterized in that, The method further comprises: defining a unified field format for asset income and cost data, and mapping to a standardized data dictionary, which comprises determining the field name, data type, and field length of asset income and cost data to form a unified field format.

6. The economic evaluation method for the coordinated implementation of multi-functional formats of integrated transport hub projects according to claim 1, characterized in that, The method further comprises: scheduling computing resources to perform tasks and monitoring task status until results are returned and stored.

7. The economic evaluation method for the coordinated implementation of multi-functional formats of integrated transport hub projects according to claim 1, characterized in that, The output of the economic evaluation results for different asset portfolio schemes based on the analysis report comprises: in the business negotiation scenario, extracting and displaying the investment recovery period and internal rate of return data corresponding to a specific construction scheme.

8. The economic evaluation method for the coordinated implementation of multi-functional formats of integrated transport hub projects according to claim 1, characterized in that, Further comprising: In the system deployment phase, simulate multi-user concurrent access scenarios to test system response time, and perform fault switching drills to verify data recovery processes.

9. An integrated transport hub project economic evaluation system for implementing the economic evaluation method of the integrated transport hub project multi-functional format synergistic implementation according to claim 1, characterized in that, Comprise: A data management module for building a multi-asset scheme economic analysis platform data center, centralized, standardized governance and storage of multi-asset data related to intermodal logistics hub projects; A model engine module for building a preset economic evaluation model library, dynamically configuring model parameters corresponding to project schemes, and automatically calculating financial internal rate of return, net present value, and dynamic investment recovery period core economic indicators; An analysis visualization module for multi-dimensional and visual economic indicators generated by calculation and analysis, and generating economic analysis reports containing scheme comparison and sensitivity analysis conclusions; A decision support module for providing data-driven decision support for project investment decisions, scheme optimization, and business negotiations based on the economic analysis report.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program, when executed by a processor, implements the steps of the economic evaluation method of the comprehensive transportation hub project multi-functional industry collaborative implementation according to any one of claims 1 to 8.

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