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CN-122023086-A - Coupling level measurement system and method for serving urban high-speed rail station domain update based on NPH model

CN122023086ACN 122023086 ACN122023086 ACN 122023086ACN-122023086-A

Abstract

The invention relates to the technical field of urban high-speed rail construction, in particular to a coupling level measurement system for serving urban high-speed rail station domain updating based on an NPH model, which comprises multi-source data acquisition and preprocessing, theoretical model construction, station domain clustering based on machine learning, and achievement visualization and application landing, wherein human behavior and perception data acquisition comprises behavior data, namely mobile phone signaling data and intelligent traffic card data, which are used for describing space-time activity tracks and activities of people, and perception data, namely text and picture data related to a target station domain are crawled from social media, so that an accurate, efficient and generalized measurement evaluation system is constructed, the spatial activity of the station domain and the satisfaction of users can be quantified, facility supply is related to human local requirements, and data support is provided for a planner to formulate an intervention strategy matching the user requirements, so that the booster high-speed rail can be developed in a sustainable manner.

Inventors

  • Gui Wangyang
  • WU WENLI
  • YANG YANG
  • NIE YONG
  • Luan Chenhuan
  • GAO YUQING

Assignees

  • 安徽建筑大学
  • 安徽省城市更新投资集团有限公司

Dates

Publication Date
20260512
Application Date
20251028

Claims (8)

  1. 1. A coupling level measurement system for serving urban high-speed rail station domain updates based on an NPH model, comprising: Multisource data acquisition and preprocessing, theoretical model construction, station domain clustering based on machine learning, and achievement visualization and application landing; The multi-source data acquisition and preprocessing comprises traffic function data acquisition in node dimension, environment data acquisition in place dimension and behavior and perception data acquisition of people in person dimension; the human behavior and perception data acquisition comprises behavior data, namely mobile phone signaling data and intelligent traffic card data, which are used for describing space-time activity tracks and vitality of people, and perception data, namely, crawling text and picture data related to a target station domain from social media, and analyzing emotion attitude and attention points of the public.
  2. 2. The NPH model-based coupling level measurement system for serving urban high-speed rail station domain updating, as set forth in claim 1, wherein the node dimension traffic function data collection comprises railway shift number, passenger flow, connection traffic data and social vehicle flow, and the data is derived from a high-speed rail operation department and an urban traffic data center.
  3. 3. The coupling level measurement system for serving city high-speed rail station domain update based on the NPH model of claim 2, wherein the environmental data collection of the place dimension comprises land utilization type and mixing degree, building density and volume rate, road network density and point of interest (POI) data, and the data is derived from city planning drawings, GIS maps, remote sensing images and open platform POI data.
  4. 4. The coupling level measurement system for serving city high-speed rail station domain updating based on the NPH model according to claim 2, wherein the theoretical model construction is to expand a human-body dimension in a traditional NP model, reconstruct a three-dimensional collaborative theory framework of node-place-human-body, and illustrate the coupling relation of interdependence and interaction among three subsystems of the node, the place and the human-body.
  5. 5. The coupling level measurement system for serving city high-speed rail station domain update based on the NPH model according to claim 1, wherein the station domain cluster based on machine learning is specifically based on N, P, H three measurement indexes, and is used for scientifically classifying all high-speed rail station domains in a research range and identifying development modes and problems of different types of station domains.
  6. 6. The coupling level measurement system for serving city high-speed rail station domain updating based on the NPH model according to claim 1, wherein the achievement visualization and application landing are specifically to provide multi-scheme comparison selection and quantitative evaluation reports, realize data-driven planning decision, and verify in test point projects such as jinghu line, jinghuang line and the like to form a reproducible and generalized application mode.
  7. 7. The coupling level measurement system for serving city high-speed rail station domain updating based on the NPH model according to claim 1, wherein the theoretical model is constructed to expand the dimension of the 'human book' in the traditional NP model, reconstruct into a 'node-place-human book' three-dimensional collaborative theory framework, and illustrate the coupling relation of interdependence and interaction among 'node', 'place' and 'human book' subsystems.
  8. 8. A method for serving coupling level measurement for urban high-speed rail station domain update based on NPH model according to any one of claims 1-7, characterized by operating theoretical model, establishing a set of quantifiable and computable comprehensive evaluation index system and providing corresponding measurement method, comprising the specific steps of: (1) Normalizing the obtained indexes to eliminate the dimensional difference among different indexes; (2) Giving weight to each index by introducing an information entropy optimization CIRTIC weighting method; (3) Measuring the score of each index by adopting a weighting algorithm; (4) The TOPSIS sorting method introducing the coupling degree correction measures and sorts the 'station-city-person' coupling level of each station area of the jinghu line.

Description

Coupling level measurement system and method for serving urban high-speed rail station domain update based on NPH model Technical Field The invention relates to the technical field of urban high-speed rail construction, in particular to a coupling level measurement system and a coupling level measurement method for serving urban high-speed rail station domain updating based on an NPH model. Background Station city fusion becomes an important path for sustainable development of Chinese high-speed rail, and the measure of the coupling level of station and city fusion development has important significance for differentially guiding the peripheral development of stations. Most of the existing measure models are combined with TOD and node-place theory to focus on the static balance of traffic service and surrounding land utilization of the station, so that the behavior characteristics and place perception attention of people as space users are insufficient, subjective evaluation of people on space experience of the station is neglected, and the dynamic interaction relation between the users and the built environment is difficult to analyze. In recent years, technology such as internet and deep learning has been rapidly developed. The prior art has the defects that: (1) The human dimension is missing, and research shows that human emotion still needs to be considered in human-based traffic and public space system planning. The existing research is insufficient in the behavior characteristics and the place perception attention of 'people' as space users, neglects subjective evaluation of crowd to station space experience, and is difficult to analyze the dynamic interaction relation between the users and the built environment, so that the dilemma of resource misdistribution, low space activity and the like can be caused. (2) Metric model shortcomings conventional "node-site" models and their derivative applications have inherent theoretical limitations, which are essentially a static, substance-space oriented evaluation framework. The model focuses on the static matching relationship of traffic node functions and site land functions, and regards the behavior and perception of "people" as passive products of the built environment, rather than as active modelers. This theoretical disadvantage results in an inability to effectively characterize and quantify the complex, dynamic interactions and feedback mechanisms between the three, standing-city-person, and thus makes it difficult to support high quality sustainable development that truly centers on human needs and experience. (3) The technical method is behind, and the traditional measuring method is seriously dependent on structural data such as statistical data, GIS space data and the like in the technical level, wherein the data can describe a macroscopic pattern, but has huge dead zones in the aspect of capturing 'personal' information such as real-time activities, subjective feelings, emotional trends and the like of individuals or groups. Because of the lack of effective data acquisition and analysis means, key dimensions such as 'crowd activity satisfaction', 'space emotion experience' remain in a qualitative description or theoretical discussion level for a long time, and large-scale and fine quantitative measurement and integrated analysis cannot be performed, so that planning decisions lack key human basis. (4) The limitation of the theory and the method directly leads to the insufficient application efficiency of the traditional model in guiding practice. The evaluation result can only reflect the 'state' of a certain time section, and the behavior and the demand change of 'people' in the station domain development process cannot be predicted and responded. Based on the planning strategy proposed by the static and physical evaluation, the planning strategy is easy to be disjointed with the real activity mode and emotion requirement of a user, and the problems of space resource mismatch, low facility utilization rate, insufficient public space activity and the like can be caused, so that the sustainable improvement of the high-speed rail station domain in the society and the humane level is finally restricted. Disclosure of Invention The invention aims to solve the defects in the prior art, and provides a coupling level measurement system and a coupling level measurement method for serving city high-speed rail station domain updating based on an NPH model. In order to achieve the above purpose, the present invention adopts the following technical scheme: a coupling level measurement system for serving city high-speed rail station domain update based on an NPH model is designed, which comprises: Multisource data acquisition and preprocessing, theoretical model construction, station domain clustering based on machine learning, and achievement visualization and application landing; The multi-source data acquisition and preprocessing comprises traffic functio