CN-121562445-B - Urban walking space perception measurement method based on body perception

CN121562445BCN 121562445 BCN121562445 BCN 121562445BCN-121562445-B

Abstract

The invention discloses an urban walking space perception measurement method based on body perception, which comprises the steps of determining environmental elements of an urban walking space to be perceived, obtaining perception experimental data through walking of a tested person in the urban walking space to be perceived, obtaining comprehensive perception stimulation indexes based on physiological data and eye movement data, determining subjective perception comprehensive indexes based on subjective evaluation data, obtaining a cognitive response intensity index by carrying out fusion calculation on the subjective perception comprehensive indexes and the comprehensive perception stimulation indexes, determining a static behavior index and a dynamic behavior index based on space-time behavior indexes, carrying out coupling calculation on the static behavior index, the dynamic behavior index and the cognitive response intensity index, and obtaining a perception measurement result of the urban walking space to be perceived based on the comprehensive perception stimulation indexes, the cognitive response intensity indexes and the behavior response indexes.

Inventors

LENG JIAWEI
ZHOU ZHAO
ZHOU HAIFEI
ZHOU JIE
TAN WEI
WU ZEYU

Assignees

东南大学
南京东南大学城市规划设计研究院有限公司

Dates

Publication Date: 20260505
Application Date: 20260123

Claims (5)

1. A city walking space perception measurement method based on self-perception is characterized by comprising the following steps: Determining environmental elements of the urban walking space to be perceived and measured; Obtaining perception experiment data by walking a tested person in an urban walking space to be perceived and measured, wherein the perception experiment data comprises physiological data, eye movement data, space-time behavior data, environment element data and subjective evaluation data; Based on the physiological data, the environmental element data and the eye movement data, obtaining a comprehensive perception stimulation index; Based on subjective evaluation data, determining a subjective cognitive comprehensive index, and obtaining a cognitive response intensity index by carrying out fusion calculation on the subjective cognitive comprehensive index and the comprehensive cognitive stimulation index; Based on space-time behavior data, determining a static behavior index and a dynamic behavior index, and performing coupling calculation on the static behavior index, the dynamic behavior index and the cognitive response intensity index to obtain a behavior response index; Based on the comprehensive perception stimulation index, the cognitive response intensity index and the behavior response index, obtaining a perception measure result of the urban walking space to be perceived; obtaining an urban walking space optimization design scheme of the to-be-perceived measure based on the obtained perception measure result of the urban walking space of the to-be-perceived measure; the physiological data comprise pulse and respiratory rate, the eye movement data comprise the fixation time length of each environment element, the space-time behavior data comprise the travel route, the position of a stop point, the travel speed and the residence time length, and the environment element data are the picture proportion of each environment element in the interest scene picture shot by the testee; the subjective evaluation data are data of scoring urban walking space to be perceived by a tested person in a questionnaire investigation mode; the method for obtaining the comprehensive perception stimulation index based on the physiological data, the environmental element data and the eye movement data comprises the following steps: s300, defining a visual saliency fusion index based on physiological data, environment element data and eye movement data, wherein the visual saliency fusion index is expressed as follows: ; In the formula, A visual saliency fusion index value representing a j-th class environmental element in an i-th interest scene photo, i being an interest scene photo index, j being an environmental element index, Representing the semantic area duty ratio of the jth environmental element in the ith scene of interest photo, Representing the gazing time length duty ratio corresponding to the j-th environmental element in the eye movement data in the i-th interested scene photo, The values normalized by Z-Score are shown, The weight coefficients are semantic area occupation ratio and gazing duration occupation ratio respectively; For any interested scene photo, weighting the visual saliency fusion index value of each environment element to obtain the visual saliency fusion index of the interested scene; s310, defining a physiological response index based on the physiological data, expressed as: ; In the formula, Representing the physiological response index corresponding to the ith scene of interest photo, Representing the average or representative statistic of the subject's pulse during the i-th scene of interest photo resident observation or corresponding time window, Representing an average or representative statistic of the subject's respiratory rate during the stay-on-view of the ith scene of interest photograph or corresponding time window, And Respectively the weight coefficients of pulse and respiratory rate in physiological response indexes; s320, defining the perceived stimulus intensity of the environment as an integrated perception stimulus index ESI, and representing the stimulus intensity as: ; Wherein, the A composite perceived stimulus index representing an ith scene of interest photograph, The visual saliency fusion index is a weight coefficient in the comprehensive perception stimulation index.
2. The method for urban walking spatial perception measurement based on self-perception according to claim 1, wherein the subjective cognitive comprehensive index is determined based on subjective evaluation data and expressed as: ; In the formula, A subjective cognitive comprehensive index representing the ith scene of interest photo, K represents the total number of subjective evaluation data, Representing the scores of the ith scene of interest photo on the kth subjective evaluation data, wherein k is the index of the subjective evaluation data; The subjective cognitive comprehensive index and the comprehensive cognitive stimulation index are fused and calculated to obtain a cognitive response intensity index, which is expressed as: ; In the formula, A cognitive response intensity index representing an ith scene of interest photograph; integrated perceived stimulus index representing ith scene of interest photograph Normalized values; a normalized numerical value of the subjective cognitive comprehensive index representing the ith interesting scene photo; the weight coefficient of the comprehensive perception stimulation index in the cognitive response intensity index.
3. The urban walking space perception measurement method based on self-perception according to claim 2, wherein the determining the static behavior index and the dynamic behavior index based on the space-time behavior data comprises the following steps: based on the spatiotemporal behavioral data, a static behavioral index is defined, expressed as: ; In the formula, A static behavior index representing the ith scene of interest photo, Representing the average residence time of a single residence at the ith scene of interest photo, Representing the total length of camping for all camping activities at the ith scene of interest photo, A coefficient of variation representing the length of stay at the ith scene of interest photo, =Sd (stage)/Mean (stage), wherein SD (stage) is the standard deviation of the residence time, mean (stage) is the Mean of the residence time, b 1 、b 2 、b 3 is the weight coefficient of the three behavior amounts in the static behavior index, and based on the spatiotemporal behavior data, a dynamic behavior index is defined, expressed as: ; In the formula, Representing the dynamic behavior index corresponding to the ith scene of interest photo, 、 Respectively representing the weight coefficients of the distance-speed behavior index and the residence distribution index in the dynamic behavior index; indicating the distance-speed behavior index corresponding to the h travel route, Representing the residence distribution index of the ith interest scene photo; wherein the distance-speed behavior index corresponding to the h travel route Expressed as: ; In the formula, Representing the total travel distance of the h travel route; Representing the average walking speed of the h travelling route in the observation time window; a coefficient of variation indicating the travel speed of the h travel route, SD (v)/Mean (v), wherein SD (v) is the standard deviation of the walking speed, mean (v) is the Mean of the walking speeds, a 1 、a 2 、a 3 is the total walking distance, the coefficient of variation of the walking speed, and the weight coefficient of the average walking speed in the distance-speed behavior index; wherein, the residence distribution index of the ith interest scene photo Expressed as: ; In the formula, The average value of the nearest neighbor distances of all stay points in the urban walking space of the measure to be perceived is represented, and N () represents a function for carrying out minimum-maximum normalization processing on the variables.
4. The urban walking space perception measurement method based on self-perception according to claim 3, wherein the coupling calculation is performed on the static behavior index, the dynamic behavior index and the cognitive response intensity index to obtain a behavior response index, and the method specifically comprises the following steps: Defining a behavior characteristic baseline index based on the static behavior index and the dynamic behavior index, wherein the behavior characteristic baseline index is expressed as follows: ; In the formula, A behavioral characteristic baseline index representing an ith scene of interest photograph; 、 the static behavior index and the dynamic behavior index are respectively weight coefficients in a behavior baseline index; Based on the behavior characteristic baseline index and the cognitive response intensity index, obtaining a behavior response index original value of each interest scene photo under the modulation effect of the cognitive response intensity index, wherein the behavior response index original value is expressed as follows: ; In the formula, Representing an original value of a behavioral response index obtained by the ith interesting scene photo under the modulation action of the cognitive response intensity index; A cognitive response intensity index representing the ith scene of interest photograph, Is a cognitive modulation factor; Normalizing the original values of the behavior response indexes obtained by the pictures of all the interest scenes under the modulation action of the cognitive response intensity indexes to obtain the behavior response indexes.
5. The urban walking space perception measurement method based on self-perception according to claim 3, wherein the coupling calculation is performed on the static behavior index, the dynamic behavior index and the cognitive response intensity index to obtain a behavior response index, and the method specifically comprises the following steps: Defining a behavior characteristic baseline index based on the static behavior index and the dynamic behavior index, wherein the behavior characteristic baseline index is expressed as follows: ; In the formula, A behavioral characteristic baseline index representing an ith scene of interest photograph; 、 the static behavior index and the dynamic behavior index are respectively weight coefficients in a behavior baseline index; linearly mixing the behavior characteristic baseline index and the cognitive response intensity index to obtain a behavior response index original value of each interest scene photo in a linear mixing mode, wherein the behavior response index original value is expressed as follows: ; In the formula, Representing the original value of the behavioral response index obtained by the ith interesting scene photo in a linear mixing mode; a weight coefficient in the behavioral response index as the cognitive response intensity index; Normalizing the original values of the behavior response indexes obtained by the photos of each interest scene in a linear mixing mode to obtain the behavior response indexes.

Description

Urban walking space perception measurement method based on body perception Technical Field The invention belongs to the technical field of urban walking space perception measurement, and particularly relates to an urban walking space perception measurement method based on self-perception. Background Although the existing urban walking space perception measurement method has a certain progress in the exploration of human book guidance, the method still has a plurality of obvious defects, and the problems restrict the systematicness, the universality and the effectiveness of the perception measurement, and can be summarized into the following four points: (1) The theoretical basis is not condensed, and the body sensing process is integrated and not systematic. The existing method is from the perspective of people, but the theoretical basis is not unified and clear, and the characteristic of ' body ' of people's research needs to be further excavated and condensed to form unified research logic. In addition, the existing method focuses on the association of local links such as environment-perception, environment-behavior and the like, and has insufficient analysis on the psychological processing mechanism of perception-cognition and decision conversion logic of cognition-behavior, and a system association framework penetrating through the whole flow is not formed. (2) The scene dependence is strong, and a universal standardized assessment framework is lacking. The existing method designs an evaluation scheme aiming at a specific urban space type, and the evaluation index and the flow have obvious scene pertinence due to the difference of space function attributes and space characteristics. The functional positioning and morphological characteristic differences of different spaces are obvious, so that the evaluation index has extremely strong scene binding, and each research does not form a unified data acquisition standard and analysis flow, so that the cross-space type multiplexing is difficult. (3) Sample size is limited and population representation is inadequate. The field experimental equipment is high in cost and complex to operate, and large-scale sample recruitment is limited. Meanwhile, the admission limit of a specific scene and the tested time cost further reduce the sample range, the result is possibly influenced by the specific group characteristics, the universality is reduced, the sample size of the existing research is generally smaller, and the wider perception rule is difficult to reflect. (4) There is a lack of coupled quantization mechanisms throughout the entire process of perception. The existing urban walking experience measurement method is generally remained on the segment analysis of environmental characteristics, subjective experiences or behavior performances, and lacks a unified mechanism capable of continuously expressing and quantitatively linking each stage of the body-building process. The existing index systems are often independent of each other, and are difficult to reflect how environmental factors are gradually converted into cognitive evaluation and finally drive behavioral response, so that a computable causal chain is lacked among a perception result, cognitive interpretation and behavioral performance, and verifiable end-to-end closed loops are difficult to form in evaluation. In practical research, the existing defects are not isolated, but are mutually interwoven, so that deepening and application of urban walking space perception measure research are restricted, and the method is specifically expressed as follows: First, the lack of condensation and integration of theoretical basis is the source of a subsequent series of problems. Due to the lack of a unified theoretical framework capable of penetrating the whole process of environmental stimulus, perception processing, cognitive evaluation and behavioral response, researchers often can only conduct fragment analysis aiming at local links, and research logic guidance with universality is difficult to form. This directly results in a measure framework that relies on empirical and intuitive decisions during construction, lacking a generalized whole-process interpretation structure. Second, the strong scenario dependency and lack of a universal standardized assessment system further exacerbates fragmentation of the study results. Because of significant differences in functional positioning and morphological characteristics of unsynchronized line spaces, most of the existing researches respectively customize an index system and a measure flow in different scenes, and cross-scene multiplexing is difficult to realize. It follows that the measurement process is not versatile, the results are not comparable, and the study is difficult to develop cumulative knowledge. Further, existing methods lack a coupled quantification mechanism throughout the whole process of perception-cognition-behavior, i.e., lack a computable chain