A method and system for evaluating and early warning of job-housing balance of county towns and villages

Abstract

The application discloses a kind of county village's job-housing balance evaluation and early warning method and system, belong to job-housing balance evaluation field.The application has adopted process analysis method, according to the time-space behavior of residents reflects the job-housing commuting characteristics of residents in county, the flow direction, quantity, distance and other elements of population flow are identified through massive mobile phone signaling data, in turn through process test to determine whether there is a large number of overlong commuting distance event in town unit, if there is, trigger early warning auxiliary system, should be through planning means to further strengthen the resource input and element configuration of the town, to alleviate the condition of job-housing over separation, promote the overall level of urban-rural integration of county.The application pays attention to under the background of high-quality urbanization still exists heavy city light rural element configuration mode, lead to a large number of town population job-housing mismatch problem, can assist the investment decision of county and promote the further development of town.

Description

Technical Field

[0001] This invention relates to the field of job-housing balance assessment, specifically to a method and system for job-housing balance assessment and early warning in county-level villages and towns. Background Technology

[0002] (1) Analysis of work-residence commuting

[0003] Currently, commuting analysis primarily utilizes questionnaire survey data, mobile phone signaling data, and public transport card swipe data, combined with econometric methods, kernel density analysis, and data visualization, to analyze the spatial balance and separation of work and residence in larger cities and explore the influencing factors. While research methods and data have become more scientific and rational with the advent of the big data era, achieving precise data support and complex calculations remains challenging even in large cities. The measurement standards and ease of implementation of work-residence balance vary across different scales and regions. Therefore, existing research on work-residence balance based on large-scale regional perspectives such as large cities and urban clusters is not entirely applicable to small-scale county-level areas. County-level research on work-residence balance requires a set of judgment standards that are both suitable for county-level characteristics and scientifically sound and easily implemented.

[0004] (2) Judgment of balanced regional development

[0005] Currently, the assessment of whether regional development is balanced mainly involves analyzing the external connections and internal driving patterns of development in various regions in terms of industry, population, and policies. In terms of research areas, most studies are large-scale, targeted case studies, lacking small-scale regional studies and a simple and easy-to-implement assessment standard. In terms of research methods, most studies rely on macro-level objective data or policy analysis, lacking integration with micro-level dynamic data, and failing to effectively observe the interaction between regional development and daily population behavior. Summary of the Invention

[0006] To address the shortcomings of existing technologies, this invention proposes a method and system for assessing and providing early warning of job-housing balance in county-level villages and towns.

[0007] The objective of this invention can be achieved through the following technical solutions:

[0008] A method for assessing the job-housing balance in county-level villages and towns includes the following steps:

[0009] Collect information on population mobility behavior, filter out the population mobility behavior of commuting between work and residence, and extract the population flow direction, population mobility distance, number of population mobility behaviors and number of people involved in the behavior from the population mobility behavior of commuting between work and residence.

[0010] Inter-regional population mobility behaviors with villages and towns as the origin and destination points in the commuting between work and residence are screened out. Indicators for assessing or warning of the degree of work-residence balance in a region are constructed by combining the distance of occurrence of the inter-regional population mobility behaviors, the number of people involved, the proportion of occurrence of the behaviors, and the proportion of permanent residents. The degree of work-residence balance in the village and town regions is assessed through the indicators.

[0011] Optionally, before filtering out the population mobility behavior of commuting between work and residence, the workplace and residence of permanent residents can be identified based on the information of the population mobility behavior;

[0012] The system filters population movement behaviors related to work-residence commuting, i.e., travel chains where the origin is the place of residence and the destination is the place of work; it also counts the spatial location and administrative division of the origin and destination; the number of population movement behaviors is the number of travel chains; the number of people involved in the population movement behaviors is the number of actors in each travel chain; and the population movement distance is the distance from the origin to the place of work.

[0013] Optionally, the aforementioned indicators are

[0014] In the formula Q i The behavior occurrence index q in this region i The ratio of P to the overall village / town behavior occurrence index Q; i p is the permanent resident population of a certain town. i The ratio of the total permanent resident population P of the village / township;

[0015] The behavior occurrence index q of the assessed area i Multiply the number of people at all points where the behavior occurred within the area by the corresponding distance coefficient;

[0016]

[0017]

[0018] but

[0019]

[0020] In the formula A ij d represents the number of people in the j-th action point within the i-th region. ij Let Q represent the commuting distance of the j-th behavior point within the i-th region, D represent the average commuting distance, and Q represent the average commuting distance. i P represents the proportion of an activity index occurring in a particular town. i It represents the proportion of the permanent residents in a certain town.

[0021] Optionally, the information on population movement behavior is collected via mobile phone signaling data.

[0022] Optionally, the travel chain is generated based on the travel behavior of any resident in the region who departs from their place of residence and stays in a certain place for more than 1 hour at a time.

[0023] A method for early warning of job-housing balance in county-level villages and towns includes the following steps:

[0024] Determine whether the travel chain is a cross-regional flow, i.e., the origin and destination are within different administrative divisions. If it is a cross-regional flow, determine whether the origin in the cross-regional flow pattern belongs to a town or village area.

[0025] If the travel chain is located in a town or village area, and the commuting distance of this type of travel chain is greater than the average commuting distance of cross-regional travel chains originating from a town or village area, it indicates that the residents involved in this type of travel chain have excessively long commuting distances between work and residence. Based on the indicators constructed in the above assessment method, it is determined whether to issue an early warning.

[0026] Optionally, the aforementioned indicators are

[0027] In the formula Q i The behavior occurrence index q in this region i The ratio of P to the overall village / town behavior occurrence index Q; i p is the permanent resident population of a certain town. i The ratio of the total permanent resident population P of the village / township;

[0028] Among them, the behavior occurrence index q of the assessed area i Multiply the number of people at all points where the behavior occurred within the area by the corresponding distance coefficient;

[0029]

[0030]

[0031] but

[0032]

[0033] In the formula A ij d represents the number of people in the j-th action point within the i-th region. ij Let Q represent the commuting distance of the j-th behavior point within the i-th region, D represent the average commuting distance, and Q represent the average commuting distance. i P represents the proportion of an activity index occurring in a particular town. i The proportion of the permanent residents in a certain town;

[0034] When the indicator When this occurs, an early warning is triggered, indicating that resource allocation in the area needs to be strengthened.

[0035] A job-housing balance assessment system for county-level villages and towns includes:

[0036] The data acquisition module is used to acquire spatial distribution data of residential locations, spatial distribution data of workplaces, and spatial distribution data of the origin and destination points of population flows.

[0037] The data filtering module can receive data from the data acquisition module and filter out population mobility behaviors related to commuting between work and residence; and

[0038] The analysis and evaluation module acquires the population flow behavior of commuting between work and residence, and can analyze the number of cross-regional commuting behaviors and their commuting distances. It also combines the distance of the behavior, the number of people involved, the proportion of the behavior, and the proportion of the permanent population to construct indicators for assessing or warning of the degree of work-residence balance in a region.

[0039] A computer-readable storage medium storing a readable program that, when executed, enables the aforementioned evaluation or warning methods.

[0040] Compared with the prior art, the present invention has the following advantages:

[0041] (1) This invention uses the job-housing balance assessment method to judge the development status of each village and town area in the county. By combining the regional development judgment with the dynamic commuting data of residents, it can more accurately reflect the dynamic demand changes of each area in the county, so as to reflect the actual regional development status.

[0042] (2) This invention focuses on the phenomenon of cross-regional commuting of people within a county, and constructs a behavior occurrence index and early warning judgment index. The early warning judgment mechanism is constrained by four dimensions: distance of behavior occurrence, number of people involved in the behavior, proportion of behavior occurrence, and proportion of permanent residents. By comparing the proportion of excessively long commuting behavior with the proportion of permanent residents in each village and town area, the development differences of each village and town area within the county are highlighted, which can provide an objective basis for assessing the priority and importance of village and town development or government investment.

[0043] (3) This invention uses process analysis to conduct job-housing balance analysis and regional development early warning judgment. The process procedure and algorithm are simple and easy to implement, providing a set of scientific and reasonable job-housing balance assessment indicators for county-level scope. It can be applied to the job-housing commuting analysis and related facility planning preliminary analysis in the county. Attached Figure Description

[0044] The invention will now be further described with reference to the accompanying drawings.

[0045] Figure 1 This is a schematic diagram of the method flow of the present invention;

[0046] Figure 2 This is an administrative division map according to an embodiment of the present invention;

[0047] Figure 3 This is a cross-regional population flow map of the working-residence population according to an embodiment of the present invention;

[0048] Figure 4 This is a distance distribution diagram of the origin and destination points according to an embodiment of the present invention;

[0049] Figure 5 This is a regional early warning judgment distribution map according to an embodiment of the present invention. Detailed Implementation

[0050] 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 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.

[0051] This invention proposes a method and system for assessing and providing early warning of job-housing balance in county-level villages and towns, comprising the following steps:

[0052] (1) Identify population flow patterns. Identify residential and workplace locations through user mobile phone signaling data, and filter out population flow behaviors with work-residence commuting as the travel mode, outputting indicators such as population flow direction, OD distance, number of occurrences, and number of people involved in the behavior;

[0053] To accurately grasp the daily behavioral trajectory characteristics of residents, this invention collects mobile phone signaling data to obtain the temporal and spatial attributes of residents' behavior. Based on the user's dwell time, location, and frequency of appearance in a particular place, the invention identifies the residential and work destinations of core users. Core users are defined as those appearing in the county for more than 10 days within a month; residential locations are defined as the locations where core users have the longest cumulative nighttime stay within a month; and work destinations are defined as the locations where core users have the longest daytime stay during the weekday period (9:00 AM to 5:00 PM). An effective travel chain is defined as a single trip where a user departs from their residential location and stays in a certain place for more than one hour. This generates an OD (Original Direction-Outcome) travel chain. Each travel chain is considered valid if the monthly number of unique users is greater than 10, thus avoiding data redundancy and ensuring that the effective data is more representative.

[0054] The study filters population mobility patterns based on commuting between work and residence, defining effective travel chains with origin (O) as residence and destination (D) as workplace. The spatial connections between the origin and destination points of these effective travel chains are established with their respective town-level administrative divisions, even if the origin and destination points have county-level administrative division attributes. The number of behaviors occurring within each administrative division is counted, representing the number of OD travel chains, and the number of participants in each OD travel chain is the number of individuals involved. The commuting distance between origin and destination is also calculated.

[0055] (2) Early warning and auxiliary judgment for county-level rural and township development. Input indicators are sequentially checked through a process to determine whether there are a large number of events with excessively long commuting distances in rural and township areas. If so, the early warning and auxiliary system is triggered to guide the county to further strengthen resource investment and factor allocation in the rural and township areas during investment and development.

[0056] The migration of people between their jobs and residences means that their destinations offer better job opportunities, more comprehensive public service facilities, and higher quality public services. Therefore, in order to avoid exacerbating the current situation of prioritizing urban areas over rural areas in the allocation of resources, it is necessary to strengthen the supply of resources and resources in the area where the migration distances within towns and villages begin, so as to alleviate the situation of excessive separation between jobs and residences and promote urban-rural integration and further development of towns and villages.

[0057] To understand the population flow and resource allocation in villages and towns within a county, and guided by the principle of promoting urban-rural integration and village and town development, a process analysis method is used to gradually determine the commuting situation of work and residence in villages and towns. The process diagram is shown below. Figure 1 As shown.

[0058] First, determine whether the OD trip is a cross-regional movement, i.e., the origin and destination are within different administrative divisions. If it is a cross-regional movement, proceed to the next step; otherwise, it means that the resident can complete their work-residence commute within the same administrative division of the county (such as the county seat or a certain town) and obtain the corresponding facilities and employment opportunities. In this case, the termination step of this type of OD trip chain will not be processed.

[0059] If it is a cross-regional flow, this step is performed to determine whether the origin O in the cross-regional flow pattern belongs to a village or town area. If it does, it means that the residence is in a village or town area and the workplace is in the central urban area or other towns, and the next step is continued. If the origin O belongs to the central urban area, it means that the residence is in the central urban area and the workplace is in other towns, and this type of OD travel chain terminates to maintain the status quo.

[0060] Next, input the commuting distance between the origin and destination points of this type of travel chain, and calculate the average commuting distance. If the commuting distance of the travel chain is greater than the average commuting distance, it indicates that the residents of this type have an excessively long commuting distance between work and residence, and continue to the next step for early warning judgment; if the commuting distance of the travel chain is less than the average commuting distance, it indicates that although the residents commute across regions, the distance is acceptable, and the step of this type of OD travel chain is terminated to maintain the status quo.

[0061] After the above process, a final early warning judgment is made, and the early warning mechanism is jointly constrained by the distance of the behavior, the number of people involved, the proportion of the behavior, and the proportion of the resident population. The specific calculation method is as follows:

[0062] Within a range where the OD commuting distance is greater than the average commuting distance D, when the proportion of the behavior occurrence index in a certain town is greater than the proportion of the resident population, this is a warning indicator. If it is believed that there are a large number of excessively long commuting distances in the village or town area, then resource allocation should be strengthened and further development should be pursued.

[0063] In the formula Q i The behavior occurrence index q of a certain town area i The ratio of P to the town / village overall behavior occurrence index Q; i p is the permanent resident population of a certain town. i The ratio of the total permanent resident population P of the village / town.

[0064] The behavior occurrence index of a certain town area = the number of people at all behavior occurrence points in that area * the corresponding distance coefficient;

[0065]

[0066]

[0067] but

[0068]

[0069] In the formula A ij d represents the number of people in the j-th action point within the i-th region. ij Let Q represent the commuting distance of the j-th behavior point within the i-th region, D represent the average commuting distance, and Q represent the average commuting distance. i P represents the proportion of an activity index occurring in a particular town. i It represents the proportion of the permanent residents in a certain town.

[0070] If the early warning indicators If the warning mechanism is not triggered in the village or town area, the county does not need to consider further improving facilities and services or investing in the development of the village or town, and the process ends.

[0071] In the above embodiments, the villages and towns are areas within a county other than the county seat and specific functional units such as development zones and industrial and mining areas.

[0072] In some specific examples of this invention, the above-mentioned county-level rural and township development assessment and early warning auxiliary system is implemented in a county in China. The county's administrative division consists of one central urban area and ten towns. According to the data from the 7th National Population Census, the total population is nearly 640,000. Its administrative division is as follows: Figure 2 As shown.

[0073] Identify residents' residential and workplace locations, filter out effective travel chains between work and residence, and generate travel origin-destination (OD) maps in ArcGIS, such as... Figure 3 As shown, the commuting distance, number of occurrences, and number of people involved in the OD travel chain are calculated. Figure 4 As shown in the figure, the cross-regional commute distance between work and residence in this county is mainly concentrated between 10km and 20km. The shortest distance is 1317.12m, the longest distance is as high as 27482.9m, and the average distance is 10041.57m, about 10km. Considering the main commuting methods in the county, this journey would take about 30 minutes by electric bicycle and 1 hour by bicycle.

[0074] The process for assisting in early warning assessment of county-level rural and township development begins by determining whether it involves cross-regional migration. Data verification shows that the proportion of cross-regional migrants within the county is relatively high, reaching 46.5%, meaning that nearly half of the population cannot obtain sufficient facilities and employment opportunities within their home region. Next, migration patterns originating in villages and towns are identified, and data on commuting distance, frequency of occurrence, number of people involved, and permanent resident population of the administrative division are input for early warning assessment.

[0075] The ratio of the proportion of the behavior occurrence index to the proportion of the resident population is calculated and compared with 1. The regional early warning judgment distribution map of the embodiment is shown below. Figure 5 As shown, towns A, D, E, and G experience significant periods of excessively long commutes, primarily due to interactions between these towns and the central urban area. Therefore, resource allocation should be strengthened in these towns to promote urban-rural integration and further development within their boundaries. This early warning-assisted assessment can also aid in county-level planning investment decisions and infrastructure allocation.

[0076] This invention addresses the problem of imbalanced employment and residence among a large number of rural residents due to a resource allocation pattern that prioritizes urban areas over rural areas, even within the context of county-level urbanization and urban-rural integration. It employs a process analysis method, based on the spatiotemporal behavioral characteristics of residents, to assist county-level investment and development decisions and promote further development of villages and towns by assessing whether there are excessively long commutes. Furthermore, the process and algorithm are simple and easy to implement, providing a convenient and scientific pre-analysis method for county-level infrastructure planning.

[0077] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0078] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention.

Claims

1. A method for assessing the job-housing balance in county-level villages and towns, characterized in that, Includes the following steps: Collect information on population mobility behavior, filter out the population mobility behavior of commuting between work and residence, and extract the population flow direction, population mobility distance, number of population mobility behaviors and number of people involved in the behavior from the population mobility behavior of commuting between work and residence. Inter-regional population mobility behaviors originating from villages and towns are selected from the population mobility behaviors of work-residence commuting. An indicator for assessing the degree of work-residence balance in the region is constructed by combining the distance of occurrence of the inter-regional population mobility behaviors, the number of people involved, the proportion of occurrence of the behaviors, and the proportion of permanent residents. The degree of work-residence balance in the village and town region is assessed by the indicators. The aforementioned indicators are In the formula Q i The behavior occurrence index q in this region i The ratio of P to the overall village / town behavior occurrence index Q; i p is the permanent resident population of a certain town. i The ratio of the total permanent resident population P of the village / township; Among them, the behavior occurrence index q of the assessed area i Multiply the number of people at all points where the behavior occurred within the area by the corresponding distance coefficient; but In the formula A ij d represents the number of people in the j-th action point within the i-th region. ij Let Q represent the commuting distance of the j-th behavior point within the i-th region, D represent the average commuting distance, and Q represent the average commuting distance. i P represents the proportion of an activity index occurring in a particular town. i It represents the proportion of the permanent residents in a certain town.

2. The method for assessing the job-housing balance in county-level villages and towns according to claim 1, characterized in that, Before filtering out the population mobility behavior of commuting between work and residence, the workplace and residence of permanent residents are identified based on the information of the population mobility behavior. The system filters population movement behaviors related to work-residence commuting, i.e., travel chains where the origin is the place of residence and the destination is the place of work; it also counts the spatial location and administrative division of the origin and destination; the number of population movement behaviors is the number of travel chains; the number of people involved in the population movement behaviors is the number of actors in each travel chain; and the population movement distance is the distance from the origin to the place of work.

3. The method for assessing the job-housing balance in county-level villages and towns according to claim 1, characterized in that, The information on population movement behavior is collected via mobile phone signaling data.

4. A method for early warning of job-housing balance in county-level villages and towns, characterized in that, Includes the following steps: Determine whether the travel chain is a cross-regional flow, i.e., the origin and destination are within different administrative divisions. If it is a cross-regional flow, determine whether the origin in the cross-regional flow pattern belongs to a town or village area. If the travel chain is located in a town or village area, and the commuting distance of this type of travel chain is greater than the average commuting distance of cross-regional travel chains originating from a town or village area, it indicates that the residents involved in this type of travel chain have an excessively long commuting distance between work and residence. Based on the indicator constructed in claim 1, it is determined whether to issue a warning. The aforementioned indicators are In the formula Q i The behavior occurrence index q in this region i The ratio of P to the overall village / town behavior occurrence index Q; i p is the permanent resident population of a certain town. i The ratio of the total permanent resident population P of the village / township; Among them, the behavior occurrence index q of the assessed area i Multiply the number of people at all points where the behavior occurred within the area by the corresponding distance coefficient; but In the formula A ij d represents the number of people in the j-th action point within the i-th region. ij Let Q represent the commuting distance of the j-th behavior point within the i-th region, D represent the average commuting distance, and Q represent the average commuting distance. i P represents the proportion of an activity index occurring in a particular town. i The proportion of the permanent residents in a certain town; When the indicator When this occurs, an early warning is triggered, indicating that resource allocation in the area needs to be strengthened.

5. A job-housing balance assessment system for county-level villages and towns, comprising: The data acquisition module is used to acquire spatial distribution data of residential locations, spatial distribution data of workplaces, and spatial distribution data of the origin and destination points of population flows. The data filtering module can receive data from the data acquisition module and filter out population flow behavior related to commuting between work and residence. as well as The analysis and evaluation module acquires population mobility behavior related to work-residence commuting, and can analyze the quantity and commuting distance of cross-regional work-residence commuting behavior. It then constructs indicators for assessing or issuing early warnings regarding the degree of work-residence balance in a region by combining the distance of occurrence, the number of people involved, the proportion of occurrences, and the proportion of permanent residents. These indicators for assessing or issuing early warnings regarding the degree of work-residence balance in a region are... In the formula Q i The behavior occurrence index q in this region i The ratio of P to the overall village / town behavior occurrence index Q; i p is the permanent resident population of a certain town. i The ratio of the total permanent resident population P of the village / township; The behavior occurrence index q of the assessed area i Multiply the number of people at all points where the behavior occurred within the area by the corresponding distance coefficient; but In the formula A ij d represents the number of people in the j-th action point within the i-th region. ij Let Q represent the commuting distance of the j-th behavior point within the i-th region, D represent the average commuting distance, and Q represent the average commuting distance. i P represents the proportion of an activity index occurring in a particular town. i It represents the proportion of the permanent residents in a certain town.

6. The county-level town and village job-housing balance assessment system according to claim 5, characterized in that, The information on population movement behavior is collected via mobile phone signaling data.

7. A computer storage medium, characterized in that, It contains a readable program that, when run, can implement the evaluation method described in any one of claims 1 to 3 or the early warning method described in claim 4.

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