Evaluation Method and System for the Relationship between Niche Information Intervention and Green Travel Behavior

Abstract

The present invention provides an evaluation method and system for the relationship between niche information intervention and green travel behavior, which relates to the technical field of information intervention strategy evaluation. Based on the method of Meta-analysis, the present invention first obtains the original literature related to the relationship between niche information intervention and green travel behavior; then, based on a literature screener, the original literature is preliminarily screened and sorted, and through the detection of the titles, abstracts, and full texts of the preliminarily screened literature, the secondary screening of the original literature is realized; finally, the main effect analysis and heterogeneity test are carried out on the secondarily screened literature, and the evaluation result of the relationship between niche information intervention and green travel behavior is included in the final Meta-analysis result. The present invention accurately quantifies the relationship between the niche information intervention strategy and green travel behavior, realizes the systematic and comprehensive exploration of the differences in the intervention effects of various factors on green travel, and thus helps to guide travelers to travel in a healthier and more environmentally friendly way.

Description

Technical Field

[0001] The present invention relates to the technical field of information intervention strategy evaluation, and particularly relates to an evaluation method and system for the relationship between niche information intervention and green travel behavior. Background Art

[0002] In order to alleviate the current serious environmental problems, some scholars have turned their attention to intervention strategies aimed at promoting people to adopt environmentally friendly travel methods. The intervention strategies are mainly divided into two categories: "hard" intervention and "soft" intervention. As a typical "soft" intervention policy, information intervention can help residents acquire environmental protection knowledge, stimulate environmental protection beliefs, and form environmental protection behaviors. In the current era of mobile Internet and big data, the dissemination of niche information through brochures, individual interviews, seminars and other methods is more effective and widely used than the popular methods such as television and advertising. Whether niche information intervention will have a positive impact on green travel behavior and how to quantify the relationship between niche information intervention strategies and green travel behavior have become urgent problems to be solved.

[0003] At present, most of the information intervention experimental studies are aimed at the energy-saving behaviors of residents. The information intervention experimental studies related to green travel behavior are not extensive, and the research on niche information intervention strategies is even less. Secondly, although the existing studies have analyzed the effects of various factors such as information content, intervention duration, and intervention samples on increasing pro-environmental behaviors, most of them are carried out independently, and few studies have systematically and comprehensively explored the intervention effects of various factors on green travel.

[0004] To sum up, the existing technology cannot quantify and evaluate the relationship between niche information intervention strategies and green travel behavior, and there is no quantitative and evaluation method with high precision. Summary of the Invention

[0005] (1) Technical Problems to be Solved

[0006] Aiming at the deficiencies of the existing technology, the present invention provides an evaluation method and system for the relationship between niche information intervention and green travel behavior, and solves the problem that the existing technology cannot accurately quantify the relationship between niche information intervention strategies and green travel behavior.

[0007] (2) Technical Solutions

[0008] To achieve the above object, the present invention is realized through the following technical solutions:

[0009] In the first aspect, the present invention first proposes an evaluation method for the relationship between niche information intervention and green travel behavior. The evaluation method is based on the Meta-analysis method and includes:

[0010] S1. Obtain the original literature related to the relationship between niche information intervention and green travel behavior;

[0011] S2. Based on a pre - constructed literature screening filter, conduct a preliminary screening and ranking of the original literature to obtain the initially screened literature;

[0012] S3. Conduct a secondary screening of the initially screened literature to obtain the secondarily screened literature, and perform data encoding on the secondarily screened literature; the encoded data includes research description item data and basic statistical data;

[0013] S4. Use a computer device to process the encoded data, obtain the main effect analysis results and heterogeneity test results, and obtain the Meta - analysis results based on the main effect analysis results and heterogeneity test results. The Meta - analysis results include the evaluation results of the relationship between niche information intervention and green travel behavior.

[0014] Preferably, the method further includes: S5. Judge the source of heterogeneity in the Meta - analysis process through subgroup analysis.

[0015] Preferably, the S1 includes:

[0016] S101. The computing device parses the crawling instruction and extracts the Chinese search term and English search term in the crawling instruction;

[0017] S102. The computing device extracts relevant original literature from the database based on the Chinese search term and English search term.

[0018] Preferably, the S3 includes:

[0019] S301. Conduct title, abstract, and full - text detection on the initially screened literature in sequence to obtain the secondarily screened literature that meets the inclusion criteria;

[0020] S302. Perform data encoding on the secondarily screened literature. The encoded data includes two aspects: research description items and basic statistical data.

[0021] Preferably, the S4 includes:

[0022] S401. Obtain the main effect analysis results;

[0023]

[0024] Among them, the d - value is the estimated value of the effect size; Me represents the mean of the experimental group; Mc represents the mean of the control group; Sw represents the combined standard deviation between the experimental group and the control group;

[0025] S402. Obtain the heterogeneity test results;

[0026] S403. Obtain the Meta-analysis result based on the main effect analysis result and the heterogeneity test result. The Meta-analysis result includes the evaluation result of the relationship between niche information intervention and green travel behavior.

[0027] In a second aspect, the present invention also proposes an evaluation system for the relationship between niche information intervention and green travel behavior. The system is based on the execution steps of the Meta-analysis method and includes:

[0028] An original literature acquisition module, configured to acquire original literature related to the relationship between niche information intervention and green travel behavior;

[0029] A literature preliminary screening module, configured to preliminarily screen and sort the original literature based on a pre-constructed literature filter to obtain the preliminarily screened literature;

[0030] A data encoding module, configured to perform secondary screening on the preliminarily screened literature to obtain the secondarily screened literature, and perform data encoding on the secondarily screened literature; the encoded data includes research description item data and basic statistical data;

[0031] An evaluation result acquisition module, configured to use a computer device to process the encoded data, obtain the main effect analysis result and the heterogeneity test result, and obtain the Meta-analysis result based on the main effect analysis result and the heterogeneity test result. The Meta-analysis result includes the evaluation result of the relationship between niche information intervention and green travel behavior.

[0032] Preferably, the system further includes: a heterogeneity source judgment module, configured to judge the source of heterogeneity in the Meta-analysis process through subgroup analysis.

[0033] Preferably, when the original literature acquisition module acquires original literature related to the relationship between niche information intervention and green travel behavior, it includes:

[0034] S101. The computing device parses the data of the scraping instruction and extracts the Chinese search term and the English search term in the scraping instruction;

[0035] S102. The computing device extracts relevant original literature from the database based on the Chinese search term and the English search term.

[0036] Preferably, the execution steps of the data encoding module include:

[0037] S301. Detect the title, abstract, and full text of the preliminarily screened literature in sequence to obtain the secondarily screened literature that meets the inclusion criteria;

[0038] S302. Perform data encoding on the secondarily screened literature. The encoded data includes two aspects: research description items and basic statistical data.

[0039] Preferably, when the evaluation result acquisition module executes the steps, it includes:

[0040] S401. Obtain the main effect analysis result;

[0041]

[0042] Wherein, the d value is the estimated value of the effect size; Me represents the mean value of the experimental group; Mc represents the mean value of the control group; Sw represents the combined standard deviation between the experimental group and the control group;

[0043] S402. Obtain the heterogeneity test result;

[0044] S403. Obtain the Meta-analysis result based on the main effect analysis result and the heterogeneity test result, and the Meta-analysis result includes the evaluation result of the relationship between the niche information intervention and the green travel behavior.

[0045] (III) Beneficial effects

[0046] The present invention provides a method and system for evaluating the relationship between niche information intervention and green travel behavior. Compared with the prior art, it has the following beneficial effects:

[0047] 1. The present invention first obtains the original literature related to the relationship between niche information intervention and green travel behavior; then, based on the literature filter, the original literature is preliminarily screened and sorted, and through detecting the titles, abstracts and full texts of the preliminarily screened literature, the secondary screening of the original literature is realized; finally, the main effect analysis and heterogeneity test are carried out on the secondarily screened literature, and the evaluation result of the relationship between niche information intervention and green travel behavior is included in the final Meta-analysis result. The present invention accurately quantifies the relationship between the niche information intervention strategy and the green travel behavior, realizes the systematic and comprehensive exploration of the intervention effect differences of various factors on green travel, and thus helps to guide travelers to travel in a more healthy and environmentally friendly way.

[0048] 2. The present invention uses Meta-analysis to obtain the evaluation result of the relationship between niche information intervention and green travel behavior, not only accurately quantitatively analyzes the relationship between the niche information intervention strategy and the green travel behavior, but also discovers the influence of various factors on the intervention effect through subgroup analysis. Brief description of the drawings

[0049] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.

[0050] Figure 1 It is a flowchart of an evaluation method for the relationship between niche information intervention and green travel behavior of the present invention.

[0051] Figure 2 It is a structural diagram of an evaluation system for the relationship between niche information intervention and green travel behavior of the present invention. Specific embodiments

[0052] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0053] By providing an evaluation method and system for the relationship between niche information intervention and green travel behavior, the embodiments of the present application solve the problem in the prior art that the relationship between niche information intervention strategies and green travel behavior cannot be accurately quantified, and achieve the purpose of guiding people to travel in a healthier and more environmentally friendly manner by analyzing the relationship between niche information intervention strategies and green travel behavior.

[0054] The technical solutions in the embodiments of the present application for solving the above technical problems are generally as follows:

[0055] To accurately quantify the relationship between niche information intervention strategies and green travel behavior, the technical solution of the present application is based on the Meta-analysis method. First, obtain the original literature related to the relationship between niche information intervention and green travel behavior; then, based on a pre-constructed literature screener, conduct a preliminary screening and ranking of the original literature to obtain the initially screened literature; and conduct a secondary screening of the initially screened literature to obtain the secondarily screened literature, and perform data coding on the secondarily screened literature, including research description item data and basic statistical data; finally, use a computer device to process the coded data, obtain the main effect analysis result and the heterogeneity test result, and obtain the Meta-analysis result based on the main effect analysis result and the heterogeneity test result, and finally obtain the evaluation result of the relationship between niche information intervention and green travel behavior from the Meta-analysis result. The present application realizes a systematic and comprehensive exploration of the differences in the intervention effects of various factors on green travel, thus effectively guiding travelers to travel in a healthier and more environmentally friendly manner.

[0056] To better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings of the specification and specific implementation manners.

[0057] Example 1:

[0058] First, in a first aspect, the present invention first proposes an evaluation method for the relationship between niche information intervention and green travel behavior. The method is based on the Meta-analysis method. See Figure 1 , and this evaluation method includes:

[0059] S1. Obtain the original literature related to the relationship between niche information intervention and green travel behavior;

[0060] S2. Based on a pre-constructed literature filter, preliminarily screen and sort the original literature to obtain the initially screened literature;

[0061] S3. Conduct a secondary screening on the initially screened literature to obtain the secondarily screened literature, and perform data coding on the secondarily screened literature; the coded data includes research description item data and basic statistical data;

[0062] S4. Use a computer device to process the coded data, obtain the main effect analysis result and the heterogeneity test result, and obtain the Meta-analysis result based on the main effect analysis result and the heterogeneity test result. The Meta-analysis result includes the evaluation result of the relationship between niche information intervention and green travel behavior.

[0063] It can be seen that in this example, first, the original literature related to the relationship between niche information intervention and green travel behavior is obtained; then, based on the literature filter, the original literature is preliminarily screened and sorted, and the secondary screening of the original literature is realized by detecting the title, abstract, and full text of the initially screened literature; finally, the main effect analysis and heterogeneity test are performed on the secondarily screened literature, and the evaluation result of the relationship between niche information intervention and green travel behavior is included in the final Meta-analysis result. This example accurately quantifies the relationship between the niche information intervention strategy and green travel behavior, realizes a systematic and comprehensive exploration of the differences in the intervention effects of various factors on green travel, and thus helps to guide travelers to travel in a more healthy and environmentally friendly way.

[0064] The following combines the attached Figure 1 , and the explanations of the specific steps of S1 - S4, to detail the implementation process of an embodiment of the present invention. An evaluation method for the relationship between niche information intervention and green travel behavior proposed in this example is based on the Meta-analysis method, and its specific steps are as follows:

[0065] S1. Obtain the original literature related to the relationship between niche information intervention and green travel behavior.

[0066] Use a computing device to capture relevant literature on the relationship between information intervention strategies and green travel behavior. Send an original literature capture instruction to the computing device through an external input device. After receiving the capture instruction, the computing device connects to the database and performs literature capture. Among them, the input device is specifically a keyboard, an electronic pen, or a touch screen; the computing device includes but is not limited to a laptop, a desktop computer, etc. The specific steps are as follows:

[0067] S101. The computing device parses the data of the capture instruction and extracts the Chinese search terms and English search terms in the capture instruction.

[0068] Among them, the English search terms include: intervention, green travel, low-carbon travel, pro-environmental travel, active travel, sustainable travel, travel mode, transportation, and field experiment; correspondingly, the Chinese search terms include: intervention, green travel, low-carbon travel, pro-environmental travel, active travel, sustainable travel, travel mode, transportation, and field experiment.

[0069] S102. The computing device extracts relevant literature from the database based on the Chinese search terms and English search terms.

[0070] For example, the computing device extracts relevant literature from the Google Scholar, Web of Science, and ScienceDirect databases according to the English search terms.

[0071] S2. Based on a pre-constructed literature filter, conduct a preliminary screening and sorting of the original literature to obtain the pre-screened literature.

[0072] After the original literature capture is completed, the computing device starts to construct a literature filter, imports the documents corresponding to the captured original literature into the literature filter, and the literature filter starts to perform screening and sorting processing on it and generates a record form for recording. The specific steps are as follows:

[0073] Construct a literature filter and use the literature filter to screen the original literature. In this embodiment, we select the Endnote tool to construct a literature filter to screen the captured original literature.

[0074] The original literature was screened using a literature screening tool built with Endnote. After screening by the literature screening tool, for the screened literature, duplicate literature was first deleted, and then the remaining literature was sorted in chronological order of publication. At the same time, the information of each literature was entered into a record form. We named the literature that had been preliminarily screened and sorted in chronological order as the initially screened literature.

[0075] S3. Conduct a secondary screening on the initially screened literature to obtain the secondarily screened literature, and perform data coding on the secondarily screened literature; the coded data includes research description item data and basic statistical data.

[0076] The content of the literature after the initial screening was further detected and judged to achieve the secondary screening of the literature. After the screening was completed, the computing device began to perform data coding on the literature and entered the coded data into the record form. The specific steps are as follows:

[0077] S301. Detect the title, abstract, and full text of the initially screened literature in sequence to obtain the secondarily screened literature that meets the inclusion criteria.

[0078] The computing device detected and analyzed the titles and abstracts of the initially screened literature remaining after the initial screening, deleted the literature that clearly did not meet the inclusion criteria, performed full text detection on the remaining literature after screening by title and abstract, and deleted the literature that did not meet the inclusion criteria, finally obtaining the secondarily screened literature.

[0079] The inclusion criteria for literature screening include: research type, research object, intervention measures, and outcome indicators. That is, if an original literature simultaneously meets all of the research type, research object, intervention measures, and outcome indicators, then the literature is screened out for backup and used in subsequent processes; if any one of the above inclusion criteria is not met, then the literature is deleted.

[0080] For example, we take the English literature on the intervention measures of niche information to change travel behavior published before 2022. Among them, the literature also needs to meet: ① The main intervention measure is a field experiment of niche information intervention; ② Clearly state that the dependent variable is an indicator related to travel behavior; ③ The research must include a control group; ④ The samples are independent of each other; ⑤ Sufficient data must be provided to calculate the effect size.

[0081] After analyzing the literature situation, a total of 20,596 literature pieces were retrieved. According to the research purpose and inclusion criteria, 22 secondarily screened literature pieces, a total of 33 studies, were finally included in this analysis (one literature piece may correspond to multiple research items).

[0082] S302. Perform data coding on the secondarily screened literature, and the coded data includes two aspects: research description items and basic statistical data.

[0083] Extract data from the second-round screened documents that meet the criteria in terms of both research description items and basic statistical data, and encode the second-round screened documents according to the extracted data. The research description items include the author, publication year, publication source, intervention subject sample, information type, intervention duration, intervention timing, and intervention frequency. The basic statistical data are the relevant data used to calculate the effect size, including the sample size, mean, standard deviation, F value, t value, etc.

[0084] Among them, the subject samples are divided into: student samples and non-student samples.

[0085] The information type is divided into two categories: one is rational information and emotional information; the other is altruistic information and egoistic information. The present invention does not exclude strategies of coupling two or more types of information.

[0086] The intervention duration is divided into <1 month, 1 - 3 months, >3 months.

[0087] The intervention timing is divided into pre-intervention, post-intervention, and a strategy of coupling pre-intervention and post-intervention. The intervention frequency includes once only, once a day, once a week, and once a month.

[0088] S4. Use a computer device to process the encoded data, obtain the main effect analysis result and the heterogeneity test result, and obtain the Meta-analysis result based on the main effect analysis result and the heterogeneity test result. The Meta-analysis result includes the evaluation result of the relationship between niche information intervention and green travel behavior.

[0089] After completing data encoding for the second-round screened documents through the above steps, conduct a main effect analysis and a heterogeneity test on the encoded second-round screened documents. Use the computing device Comprehensive Meta-analysis (3.0) to process the encoded data and obtain the Meta-analysis result including the main effect analysis result and the heterogeneity test result. The specific steps are as follows:

[0090] S401. Obtain the main effect analysis result.

[0091] Because the dependent variable studied in this article is the actual change of travel-related indicators, which belongs to a continuous variable, the standardized mean difference is selected as the effect size index, and the d value is the estimated value of the effect size. When d > 0, it indicates that it can promote green travel, and the larger the d value, the more significant the effect.

[0092] Among them, the calculation formula of the d value is as follows:

[0093]

[0094] Wherein, Me represents the mean of the experimental group; Mc represents the mean of the control group; Sw represents the combined standard deviation between the experimental group and the control group.

[0095] The computing device needs to select an appropriate model to combine the effect sizes. When the result P ≤ 0.05, I 2 ≥ 50%, a random effects model is used to combine the results; in this embodiment, we set a 95% confidence interval. When P > 0.05, I 2 <50%, a fixed effects model is used to combine the results.

[0096] In order to see whether there is bias in the included research literature that affects the research results to be studied in the article, the method of this embodiment further includes:

[0097] S4011. Evaluate the publication bias of the second-screened literature.

[0098] When evaluating the publication bias of the second-screened literature: two indicators, the funnel plot and the fail-safe number, are used for judgment.

[0099] If there is a lack of research with non-statistically significant results, an asymmetric funnel plot will be formed, indicating that there is publication bias in the research. The publication bias can be corrected by the trim and fill method. Using computer software, the missing data is "filled" based on the existing data to make the funnel plot show a symmetric distribution. And re-estimate the effect size. If the estimated value of the combined effect size does not change significantly, it indicates that the publication bias has little impact. This embodiment also selects the fail-safe number as the basis for judging whether there is publication bias in the research, that is, at least how many unpublished studies are needed to overturn the results of the Meta-analysis. Usually, the fail-safe number should be greater than 5K + 10, where K is the number of included studies. The larger the fail-safe number, the more stable the Meta-analysis result and the smaller the possibility that the conclusion will be overturned. Specifically,

[0100] Funnel plot: Using the standard error in the Meta-analysis result as the Y-axis and the effect value as the X-axis, each point represents a study (for example, measuring the effect of a specific intervention), draw a funnel plot, analyze whether the distribution pattern of the funnel plot is symmetric, and judge whether there is publication bias.

[0101] Fail-safe number: The larger the fail-safe number, the more stable the Meta-analysis result and the smaller the possibility that the conclusion will be overturned. Whether there is publication bias in the research should be stated in the research.

[0102] S402. Obtain the results of the heterogeneity test.

[0103] In order to optimize the relationship between niche information intervention measures to promote green travel behavior, a heterogeneity test of the Meta-analysis needs to be carried out.

[0104] Heterogeneity test: In Comprehensive Meta-analysis (CMA) 3.0, the I 2 statistic can be used to test heterogeneity. Referring to the 50% rule, if I 2 > 50%, there is heterogeneity. If I 2 > 75%, there is significant heterogeneity and the source of heterogeneity needs to be further explored.

[0105] S403. Obtain the Meta-analysis result based on the main effect analysis result and the heterogeneity test result. The Meta-analysis result includes the evaluation result of the relationship between the niche information intervention and the green travel behavior.

[0106] The Meta-statistical result analysis includes the main effect result and the heterogeneity test result.

[0107] Main effect result: If P ≤ 0.05, the niche information intervention strategy can significantly promote green travel behavior; if P > 0.05, the niche information intervention strategy cannot significantly promote green travel behavior. At the same time, the larger the d value, the better the effect of the niche information intervention in promoting green travel behavior.

[0108] Heterogeneity test result: I 2 = 65%; P = 0.00, indicating that there is significant heterogeneity among the studies and the source of heterogeneity needs to be further explored.

[0109] In order to discover the heterogeneity in the Meta-analysis, the evaluation method for the relationship between the niche information intervention and the green travel behavior in this embodiment further includes:

[0110] S5. Judge the source of heterogeneity in the Meta-analysis process through subgroup analysis.

[0111] This embodiment discovers through subgroup analysis that the subject sample, information type, intervention duration, timing, and frequency will affect the intervention effect.

[0112] Example 2:

[0113] Second, the present invention also provides an evaluation system for the relationship between the niche information intervention and the green travel behavior. Refer to Figure 2 , this system includes:

[0114] An original literature acquisition module, used to acquire the original literature related to the relationship between the niche information intervention and the green travel behavior;

[0115] A literature preliminary screening module, used to preliminarily screen and sort the original literature based on a pre-constructed literature filter to obtain the preliminarily screened literature;

[0116] A data encoding module, which is used to perform secondary screening on the initially screened literature to obtain the secondarily screened literature, and perform data encoding on the secondarily screened literature; the encoded data includes research description item data and basic statistical data;

[0117] An evaluation result acquisition module, which is used to process the encoded data by using a computer device to obtain a main effect analysis result and a heterogeneity test result, and obtain a Meta-analysis result based on the main effect analysis result and the heterogeneity test result, and the Meta-analysis result includes an evaluation result of the relationship between niche information intervention and green travel behavior.

[0118] Optionally, the system further includes: a heterogeneity source judgment module, which is used to judge the source of heterogeneity in the Meta-analysis process through subgroup analysis.

[0119] Optionally, when the original literature acquisition module acquires the original literature related to the relationship between niche information intervention and green travel behavior, it includes:

[0120] S101. The computing device parses the data of the crawling instruction and extracts the Chinese retrieval term and the English retrieval term in the crawling instruction;

[0121] S102. The computing device extracts relevant original literature from the database based on the Chinese retrieval term and the English retrieval term.

[0122] Optionally, the execution steps of the data encoding module include:

[0123] S301. Perform title, abstract, and full text detection on the initially screened literature in sequence to obtain the secondarily screened literature that meets the inclusion criteria;

[0124] S302. Perform data encoding on the secondarily screened literature, and the encoded data includes two aspects: research description items and basic statistical data.

[0125] Optionally, when the evaluation result acquisition module executes the steps, it includes:

[0126] S401. Obtain the main effect analysis result;

[0127]

[0128] Wherein, the d value is the estimated value of the effect size; Me represents the mean value of the experimental group; Mc represents the mean value of the control group; Sw represents the combined standard deviation between the experimental group and the control group;

[0129] S402. Obtain the heterogeneity test result;

[0130] S403. Obtain the Meta-analysis result based on the main effect analysis result and the heterogeneity test result. The Meta-analysis result includes the evaluation result of the relationship between niche information intervention and green travel behavior.

[0131] It can be understood that the evaluation system for the relationship between niche information intervention and green travel behavior provided by the embodiments of the present invention corresponds to the above-mentioned evaluation method for the relationship between niche information intervention and green travel behavior. The explanations, examples, beneficial effects, etc. of the relevant content can refer to the corresponding content in the evaluation method for the relationship between niche information intervention and green travel behavior, and will not be elaborated here.

[0132] In summary, compared with the prior art, the following beneficial effects are achieved:

[0133] 1. The present invention first obtains the original literature related to the relationship between niche information intervention and green travel behavior; then based on the literature screener, preliminarily screens and sorts the original literature, and realizes the secondary screening of the original literature by detecting the titles, abstracts, and full texts of the preliminarily screened literature; finally, conducts a main effect analysis and a heterogeneity test on the secondarily screened literature. The final Meta-analysis result includes the evaluation result of the relationship between niche information intervention and green travel behavior. The present invention accurately quantifies the relationship between the niche information intervention strategy and green travel behavior, and realizes a systematic and comprehensive exploration of the differences in the intervention effects of various factors on green travel, thus helping to guide travelers to travel in a more healthy and environmentally friendly way.

[0134] 2. The present invention uses Meta-analysis to obtain the evaluation result of the relationship between niche information intervention and green travel behavior, not only accurately quantitatively analyzes the relationship between the niche information intervention strategy and green travel behavior, but also discovers the influence of various factors on the intervention effect through subgroup analysis.

[0135] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of another identical element in the process, method, article or device including the said element.

[0136] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An evaluation method for the relationship between niche information intervention and green travel behavior, characterized in that, The method is based on the Meta-analysis method and includes: S1. Obtain the original literature related to the relationship between niche information intervention and green travel behavior; S2. Based on a pre-constructed literature filter, preliminarily screen and sort the original literature to obtain the preliminarily screened literature; S3. Conduct a secondary screening on the preliminarily screened literature to obtain the secondarily screened literature, and encode the data of the secondarily screened literature; the encoded data includes research description item data and basic statistical data; S4. Use a computer device to process the encoded data, obtain the main effect analysis result and the heterogeneity test result, and obtain the Meta-analysis result based on the main effect analysis result and the heterogeneity test result. The Meta-analysis result includes the evaluation result of the relationship between niche information intervention and green travel behavior; S5. Judge the source of heterogeneity in the Meta-analysis process through subgroup analysis; The S4 includes: S401. Obtain the main effect analysis result; Among them, d The value is the estimated value of the effect size; Me Represents the mean of the experimental group; Mc Represents the mean of the control group; Sw Represents the combined standard deviation between the experimental group and the control group; S402. Obtain the heterogeneity test result; S403. Obtain the Meta-analysis result based on the main effect analysis result and the heterogeneity test result. The Meta-analysis result includes the evaluation result of the relationship between niche information intervention and green travel behavior.

2. The evaluation method according to claim 1, wherein The S1 includes: S101. The computing device parses the data of the scraping instruction and extracts the Chinese retrieval term and the English retrieval term in the scraping instruction; S102. The computing device extracts relevant original literature from the database based on the Chinese retrieval term and the English retrieval term.

3. The evaluation method according to claim 2, wherein The S3 includes: S301. Detect the title, abstract, and full text of the preliminarily screened literature in sequence to obtain the secondarily screened literature that meets the inclusion criteria; S302. Encode the data of the secondarily screened literature. The encoded data includes two aspects: research description items and basic statistical data.

4. An evaluation system for the relationship between niche information intervention and green travel behavior, characterized in that, The system based on the execution steps of the Meta-analysis method includes: An original literature acquisition module, which is used to obtain the original literature related to the relationship between niche information intervention and green travel behavior; A literature preliminary screening module, which is used to preliminarily screen and sort the original literature based on a pre-constructed literature filter to obtain the preliminarily screened literature; A data encoding module, which is used to conduct a secondary screening on the preliminarily screened literature to obtain the secondarily screened literature, and encode the data of the secondarily screened literature; the encoded data includes research description item data and basic statistical data; An evaluation result acquisition module, which is used to use a computer device to process the encoded data, obtain the main effect analysis result and the heterogeneity test result, and obtain the Meta-analysis result based on the main effect analysis result and the heterogeneity test result. The Meta-analysis result includes the evaluation result of the relationship between niche information intervention and green travel behavior; A heterogeneity source judgment module, which is used to judge the source of heterogeneity in the Meta-analysis process through subgroup analysis; When the evaluation result acquisition module executes the steps, it includes: S401. Obtain the main effect analysis result; Among them, d The value is the estimated value of the effect size; Me Represents the mean of the experimental group; Mc Represents the mean of the control group; Sw Represents the combined standard deviation between the experimental group and the control group; S402. Obtain the heterogeneity test result; S403. Obtaining a meta-analysis result based on the main effect analysis result and the heterogeneity test result, wherein the meta-analysis result includes an evaluation result of the relationship between niche information intervention and green travel behavior.

5. The evaluation system according to claim 4, characterized in that The original literature acquisition module includes the following steps when acquiring original literature related to the relationship between niche information intervention and green travel behavior: S101: The computing device performs data analysis on the crawling instruction and extracts Chinese search terms and English search terms in the crawling instruction; S102: The computing device extracts relevant original documents from the database based on the Chinese search terms and the English search terms.

6. The evaluation system according to claim 5, wherein The execution steps of the data encoding module include: S301. Check the title, abstract, and full text of the primary screening literature in turn to obtain the secondary screening literature that meets the inclusion criteria; S302. Data coding is performed on the second-screened documents. The coded data includes two aspects: research description items and basic statistical data.

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