[1]张水潮,尹向红,周继彪,等.基于信号滤波原理的公共自行车出行行为分析模型[J].南京理工大学学报(自然科学版),2018,42(02):229.[doi:10.14177/j.cnki.32-1397n.2018.42.02.015]
 Zhang Shuichao,Yin Xianghong,Zhou Jibiao,et al.Analysis model of public bicycle travel behavior based onsignal filtering principle[J].Journal of Nanjing University of Science and Technology,2018,42(02):229.[doi:10.14177/j.cnki.32-1397n.2018.42.02.015]
点击复制

基于信号滤波原理的公共自行车出行行为分析模型()
分享到:

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
42卷
期数:
2018年02期
页码:
229
栏目:
出版日期:
2018-04-30

文章信息/Info

Title:
Analysis model of public bicycle travel behavior based onsignal filtering principle
文章编号:
1005-9830(2018)02-0229-05
作者:
张水潮1尹向红2周继彪1周竹萍3
1.宁波工程学院 建筑与交通工程学院,浙江 宁波 315211; 2.宁波市轨道交通集团有限公司,浙江 宁波 315262; 3.南京理工大学 自动化学院,江苏 南京 210094
Author(s):
Zhang Shuichao1Yin Xianghong2Zhou Jibiao1Zhou Zhuping3
1.School of Civil and Transportation Engineering,Ningbo University of Technology,Ningbo 315211,China; 2.Ningbo Rail Transit Group Co Ltd,Ningbo 315262,China; 3.School of Automation,Nanjing University of Science and Technology,Nanjing 210094,China
关键词:
公共自行车 信号滤波 出行行为 租凭时长 租凭频率
Keywords:
public bicycles signal filtering travel behavior rental duration rental frequency
分类号:
U491.1
DOI:
10.14177/j.cnki.32-1397n.2018.42.02.015
摘要:
以宁波市公共自行车系统为例,分析了公共自行车租赁时长与租赁频率的基本特性,并引入了交通性出行行为与非交通性出行行为的概念。在此基础上,基于通信系统中信号滤波的原理,将公共自行车出行中的租赁时长和租赁频率分别比拟为通信系统中的信号频率和信号振幅,利用巴特沃斯低通滤波器原理建立了公共自行车交通性出行行为分析模型。最后,利用该模型对宁波市公共自行车租赁特性进行滤波分析。结果显示,在公共自行车出行需求中,当租凭时长大于35 min时,以非交通性出行为主; 当租凭时长小于20 min时,以交通性出行为主。得出了交通性出行行为的公共自行车租赁时长分布函数。
Abstract:
The basic characteristics of rental duration and rental frequency of the Ningbo public bicycle system is analysed,and the concept of internal travel behavior and non-internal travel behavior are presented. Based on the signal filtering principle of communication system and by taking the rental duration and the rental frequency of the public bicycle travel as the signal frequency and the signal amplitude respectively,the public bicycle internal travel behavior analysis model is built using the principle of Butterworth low-pass filter. Lastly,the filtering analysis of Ningbo public bicycle rental characteristics is given. The result shows that,when the rental duration is longer than 35 min,the non-internal travel is the main demand in the actual travel; when the rental duration is shorter than 20 min,the internal travel is the main demand. And the rental duration distribution function of internal travel is also provided here.

参考文献/References:

[1] 潘海啸,汤諹,麦贤敏,等. 公共自行车交通发展模式比较[J]. 城市交通,2010,8(6):40-43.
Pan Haixiao,Tang Yang,Mai Xianmin,et al. Overview of bicycle transportation development in urban areas[J]. Urban Traffic,2010,8(6):40-43.
[2]矫大海. 政策扩散视角下中国公共自行车政策的时空演进及其机制分析[D]. 南京:南京大学政府管理学院,2017.
[3]李婷婷. 城市公共自行车租赁点选址规划研究[D]. 北京:北京交通大学交通运输学院,2010.
[4]舒诗楠,边扬,荣建. 基于发生吸引源分布特征的公共自行车网点规模优化模型[J]. 北京工业大学学报,2018,44(1):42-50.
Shu Shinan,Bian Yang,Rong Jian. Station size optimization model of public bicycle system based on building spatial distribution[J]. Journal of Beijing University of Technology,2018,44(1):42-50.
[5]张冰琦,周杨,李强,等. 城市公共自行车租赁点配车量优化模型研究[J]. 北京师范大学学报(自然科学版),2016,52(4):506-511.
Zhang Bingqi,Zhou Yang,Li Qiang,et al. Optimizing the number of bicycles in a public renting station[J]. Journal of Beijing Normal University(Nature Science),2016,52(4):506-511.
[6]胡列格,夏云,王佳,等. 城市公共自行车高峰期需求不均衡的调度优化研究[J]. 铁道科学与工程学报,2015,12(2):441-448.
Hu Liege,Xia Yun,Wang Jia,et al. Scheduling optimization research on demand imbalance of urban public bicycles during peak period[J]. Journal of Railway Science and Engineering,2015,12(2):441-448.
[7]吴满金,董红召,刘冬旭,等. 公共自行车多目标动态调度建模与算法研究[J]. 机电工程,2015,32(7):1006-1010.
Wu Manjin,Dong Hongzhao,Liu Dongxu,et al. Research on the dynamic model with multi-objective and algorithm for public bicycle rebalancing problem[J]. Journal of Mechanical & Electrical Engineering,2015,32(7):1006-1010.
[8]吴瑶,陈红,鲍娜,等. 基于多项Logit模型的城市公共自行车租借需求预测模型[J]. 大连交通大学学报,2013,34(1):19-24.
Wu Yao,Chen Hong,Bao Na,et al. The predicting model of public bike rental demand based on multinomial Logit model[J]. Journal of Dalian Jiaotong University,2013,34(1):19-24.
[9]何流,陈大伟,李旭宏,等. 城市公共自行车租赁点布局优化模型[J]. 武汉理工大学学报(交通科学与工程版),2012,36(1):129-133.
He Liu,Chen Dawei,Li Xuhong,et al. An optimization model of the layout of public bike rental stations[J]. Journal of Wuhan University of Technology(Transportation Science & Engineering),2012,36(1):129-133.
[10]José I Castillo-Manzano,Lourdes López-Valpuesta,Antonio Sánchez-Braza. Going a long way?On your bike! Comparing the distances for which public bicycle sharing system and private bicycles are used[J]. Applied Geography,2016,71:95-105.
[11]Shinhye Joo,Cheol Oh,Eunbi Jeong,et al. Categorizing bicycling environments using GPS-based public bicycle speed data[J]. Transportation Research Part C Emerging Technologies,2015,56:239-250.
[12]戴永胜,张红,徐利,等. 高次谐波抑制微型滤波器研究[J]. 南京理工大学学报,2012,36(5):869-872.
Dai Yongsheng,Zhang Hong,Xu Li,et al. Miniaturization filter with high-order harmonic suppression[J]. Journal of Nanjing University of Science and Technology,2012,36(5):869-872.
[13]Zhang shuichao,He Kangkang,Dong Sheng,et al. Modeling the distribution characteristics of urban public bicycle rental duration[J]. Discrete Dynamics in Nature and Society,2016(6):1-9.

备注/Memo

备注/Memo:
收稿日期:2017-12-16 修回日期:2018-02-08
基金项目:浙江省哲学社会科学规划课题(17NDJC130YB); 浙江省自然科学基金(LY17E080013); 宁波市自然科学基金(2016A610112)
作者简介:张水潮(1985-),男,博士,副教授,主要研究方向:城市交通规划与设计,E-mail:zhangsc2588509@126.com。
引文格式:张水潮,尹向红,周继彪,等. 基于信号滤波原理的公共自行车出行行为分析模型[J]. 南京理工大学学报,2018,42(2):229-233.
投稿网址:http://zrxuebao.njust.edu.cn
更新日期/Last Update: 2018-04-30