[1]张惠玲,王瑞浩,张 睿.老年人对信号交叉口行人服务水平评价建模与分析[J].郑州大学学报(工学版),2024,45(06):9-17.[doi:10.13705/j.issn.1671-6833.2024.06.022]
　ZHANG Huiling,WANG Ruihao,ZHANG Rui.Comparison and Analysis of Pedestrian Service Level Evaluation Modeling for theElderly at Signalized Intersections[J].Journal of Zhengzhou University (Engineering Science),2024,45(06):9-17.[doi:10.13705/j.issn.1671-6833.2024.06.022]
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老年人对信号交叉口行人服务水平评价建模与分析()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
45
期数:
2024年06期
页码:
9-17
栏目:
出版日期:
2024-09-25

文章信息/Info

Title:
Comparison and Analysis of Pedestrian Service Level Evaluation Modeling for theElderly at Signalized Intersections
文章编号:
1671-6833(2024)06-0009-09
作者:
张惠玲;  王瑞浩;  张 睿
重庆交通大学 交通运输学院,重庆 400074
Author(s):
ZHANG Huiling;  WANG Ruihao;  ZHANG Rui
College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China
关键词:
信号交叉口;  老年行人;  多元非线性回归模型;  行人服务水平;  建模与分析
Keywords:
signalized intersection;  the elderly pedestrian;  multivariate nonlinear regression model;  pedestrianservice level;  modeling and analysis
分类号:
U491
DOI:
10.13705/j.issn.1671-6833.2024.06.022
文献标志码:
A
摘要:
为分析老年人在信号交叉口人行横道的过街需求,对老年行人在通行时的服务水平进行评估,建立了基于主观评价和交叉口交通特征的老年行人服务水平评价模型。 首先,通过现场观测和视频分析获取了 33 条信号控制人行横道的交通特征参数,并采用截断式问卷调查得到同步情况下过街老年人对行人服务水平评价主观值,初步选用基于非线性、线性和模糊线性回归模型。 其次,通过基于 30 条人行横道的数据分析,采用皮尔逊相关系数和斯皮尔曼相关系数识别出了影响老年人过街服务水平的关键因素。 最后,以关键因素为输入,对比分析非线性、线性和模糊线性 3 种回归模型,结果表明:多元非线性回归的老年行人服务水平评价模型在拟合度和误差方面表现更优,且验证组的 3 条人行横道数据进一步证实了该模型的适用性。
Abstract:
In order to analyze the needs of the elderly at the signalized intersection and evaluate the service level ofthe elderly pedestrians, a service level evaluation model based on subjective evaluation and intersection traffic characteristics was established. The traffic characteristic parameters of 33 signal-controlled crosswalks were obtainedthrough field observation and video analysis. A truncated questionnaire was used to obtain the subjective value ofpedestrian service level evaluation of the elderly crossing the street with synchronous conditions. The initial selection was based on nonlinear, linear and fuzzy linear regression models. Based on the data analysis of 30 crosswalks,Pearson correlation coefficient and Spearman correlation coefficient were used to identify the key factors affecting theservice level of the elderly crossing the street. Taking the key factors as input, comparing the nonlinear, linear andfuzzy linear regression models, the results showed that the multivariate nonlinear regression model of elderly pedestrian service level evaluation was better in terms of fit and error, and the data of 3 crosswalks in the verificationgroup further confirm the applicability of the model. The research results could provide some reference for the studyof traffic safety improvement strategies in the aging trend.

参考文献/References:

[1] 国家统计局. 中华人民共和国 2023 年国民经济和社会发展统计公报[ EB / OL] . ( 2024- 02- 29) [ 2024- 03- 20 ] . https: ∥ www. stats. gov. cn / sj / zxfb / 202402 /t20240228_1947915. html.

National Bureau of Statistics. Statistical bulletin of thePeople′s Republic of China on the 2023 national economic and social development [ EB / OL] . ( 2024 - 02 - 29)[2024 - 03 - 20 ] . https:∥www. stats. gov. cn / sj / zxfb /202402 / t20240228_1947915. html.
[2] 黄建中, 张芮琪, 胡刚钰. 基于时空间行为的老年人日常生活圈研究: 空间识别与特征分析[ J] . 城市规划学刊, 2019(3) : 87-95.
HUANG J Z, ZHANG R Q, HU G Y. A research of theelderly′s daily life circle based on spatial-temporal behaviors—analysis of place recognition and spatial features[ J] . Urban Planning Forum, 2019(3) : 87-95.
[3] 潘义勇, 吴静婷, 施颖. 交叉口处老年人碰撞事故伤害严重程度分析[ J] . 重庆交通大学学报( 自然科学版) , 2022, 41(9) : 39-44.
PAN Y Y, WU J T, SHI Y. Injury severity analysis ofthe elderly in collision accidents at intersections [ J ] .Journal of Chongqing Jiaotong University ( Natural Science) , 2022, 41(9) : 39-44.
[4] ZHANG H L, ZHANG D K, WANG R H. Evaluation ofpedestrian level of service at signalised intersections fromthe elderly perspective[ J] . Promet-Traffic & Transportation, 2023, 35(3) : 434-445.
[5] TRANSPORTATION R B. Highway capacity manual2000[M] . Washington: Transportation Research Board,2000.
[6] 刘孟歆, 秦华, 岳晨, 等. 右转车辆与过街行人交互过程的影响因素研究[ J] . 包装工程, 2023, 44( 12) :118-125.
LIU M X, QIN H, YUE C, et al. Influencing factors ofinteraction process between right-turning vehicles and pedestrians crossing the street[ J] . Packaging Engineering,2023, 44(12) : 118-125.
[7] LI W F, HE J W, YU Q, et al. Using POI data to identify the demand for pedestrian crossing facilities at midblock[ J] . Sustainability, 2021, 13(23) : 13256.
[8] JIA X L, FELICIANI C, MURAKAMI H, et al. Revisiting the level-of-service framework for pedestrian comfortability: velocity depicts more accurate perceived congestion than local density[ J] . Transportation Research PartF: Traffic Psychology and Behaviour, 2022, 87: 403-425.
[9] TRANSPORTATION R B. Highway capacity manual2016 [ M ] . Washington: Transportation ResearchBoard, 2016.
[10] AHMED T, MOEINADDINI M, ALMOSHAOGEH M, etal. A new pedestrian crossing level of service ( PCLOS)method for promoting safe pedestrian crossing in urban areas[ J] . International Journal of Environmental Researchand Public Health, 2021, 18(16) : 8813.
[11] SAHANI R, BHUYAN P K. Modelling pedestrian perspectives in evaluating satisfaction levels of urban roadwaywalking facilities[ J] . Transportation Research Procedia,2020, 48: 2262-2279.
[12] DIVISION T A, BOARD T R. Innovative Applications ofthe Highway Capacity Manual 2010 [ M ] . Washington:Transportation Research Board, 2014.
[13] 边扬, 王 炜, 陆 建. 人 行 道 行 人 服 务 水 平 评 价 方 法[ J] . 东南大学学报(自然科学版) , 2007, 37(4) : 695-699.
BIAN Y, WANG W, LU J. Pedestrian level of service forsidewalks[ J] . Journal of Southeast University ( NaturalScience Edition) , 2007, 37(4) : 695-699.
[14] YE X F, CHEN J, JIANG G Y, et al. Modeling pedestrian level of service at signalized intersection crosswalksunder mixed traffic conditions[ J] . Journal of the Transportation Research Board, 2015, 2512(1) : 46-55.
[15] MARISAMYNATHAN S, VEDAGIRI P. Modeling pedestrian level of service at signalized intersection undermixed traffic conditions[ J] . Journal of the TransportationResearch Board, 2017, 2634(1) : 86-94.
[16] RAAD N, BURKE M I. What are the most important factors for pedestrian level-of-service estimation? A systematic review of the literature[ J] . Journal of the Transportation Research Board, 2018, 2672(35) : 101-117.
[17] 景鹏, 王伟, 吴麟麟. 老年人对自动驾驶汽车接受度研究[ J] . 中国公路学报, 2021, 34(6) : 158-171.
JING P, WANG W, WU L L. Acceptance of autonomousvehicles for the elderly [ J ] . China Journal of Highwayand Transport, 2021, 34(6) : 158-171.
[18] SACCENTI E, HENDRIKS M H W B, SMILDE A K.Corruption of the Pearson correlation coefficient by measurement error and its estimation, bias, and correction under different error models[ J] . Scientific Reports, 2020,10: 438.
[19] XIAO C W, YE J Q, ESTEVES R M, et al. UsingSpearman′s correlation coefficients for exploratory data analysis on big dataset[ J] . Concurrency and Computation:Practice and Experience, 2016, 28(14) : 3866-3878.
[20] MIROSHNICHENKO V, MAIBORODA R. Asymptoticnormality of modified LS estimator for mixture of nonlinearregressions[ J] . Modern Stochastics: Theory and Applications, 2020: 435-448.
[21] 郝翠萍. 基于多元线性回归模型的考试评价与预测研究[ J] . 电子设计工程, 2021, 29(15) : 142-145.
HAO C P. Research on examination evaluation and prediction based on multiple linear regression model[ J] . Electronic Design Engineering, 2021, 29(15) : 142-145.
[22] LI Y F, HE X X, LIU X Q. Fuzzy multiple linear leastsquares regression analysis[ J] . Fuzzy Sets and Systems,2023, 459: 118-143.
[23] 武继刚, 李妙君, 赵淑平. 基于低秩稀疏表达的弹性最小 二 乘 回 归 学 习 [ J] . 郑 州 大 学 学 报 ( 工 学 版) ,2023, 44(6) : 25-32.
WU J G, LI M J, ZHAO S P. Low-rank sparse representation based on elastic least squares regression learning[ J] . Journal of Zhengzhou University ( Engineering Science) , 2023, 44(6) : 25-32.

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更新日期/Last Update: 2024-09-29