考虑用户偏好的奖励机制下共享单车分流停车引导策略研究

doi:10.3976/j.issn.1002-4026.2022.06.016

Abstract

Abstract:

To alleviate the random-parking problem of shared bicycles due to insufficient parking spaces, this paper proposes a diversion guidance strategy for parking shared bicycles and sets the corresponding reward measures according to user behavior. A survey of stated preference is designed to obtain the user behavior choice preference data. Subsequently, the Logit model is used to analyze the data and build a reward mechanism to encourage the diversion parking by shared-bicycle users. Moreover, a multiobjective optimization model is constructed for minimizing enterprise cost and maximizing transfer parking demand. Yongtaizhuang subway station in Xisanqi is used as an example to examine the practical operability of this strategy. Results show that the user acceptance of the proposed strategy is 60%, and 58.33% of the excessive parking demand is successfully transferred. This strategy can mitigate the problem of insufficient parking spaces for shared bicycles to a certain degree and provides effective suggestions for managing the parking of shared bicycles.

Key words: urban transportation, shared-bicycle parking, user preferences, reward mechanism, guidance strategy

CLC Number:

U491.1

PENG Peng, JIA Shun-ping. Diversion parking guidance strategy of shared bicycles under reward mechanism considering user preference[J].Shandong Science, 2022, 35(6): 123-130.

Figures/Tables 9

Fig.1

Fig.2

Fig.3

Fig.4

Table 1

Table 2

Table 3

BL model parameter values"

变量	属性	系数	系数估计值	显著性检验值	显著度
$x 1$	原停车点到推荐分流停车点之间的距离	$β 1$	-0.002 45	-8.04	<0.001
$x 2$	推荐分流停车点是否与用户来路同方向	$β 2$	0.453 55	4.95	<0.001
$x 3$	到推荐停车点是否需要过马路	$β$ ₃	-0.147 47	-1.68	0.093
$x 4$	货币奖励	$β 4$	1.209 36	13.76	<0.001

Table 3

Table 4

Table 5

References 19

[1]	王玉全, 刘燕涛. 北京市共享单车停车需求预测[J]. 交通与运输, 2019, 35(2): 14-18. DOI:10.3969/j.issn.1671-3400.2019.02.004. doi: 10.3969/j.issn.1671-3400.2019.02.004
[2]	王凌苏. 共享单车交通量预测与停放点选址研究[D]. 北京: 北京交通大学, 2020.
[3]	徐长兴, 汪伟平, 昌锡铭, 等. 基于因果分析和相似日选择的共享单车需求量预测组合模型[J]. 山东科学, 2021, 34(2): 54-64. DOI:10.3976/j.issn.1002-4026.2021.02.008. doi: 10.3976/j.issn.1002-4026.2021.02.008
[4]	王瑜琼, 贾顺平, 张思佳, 等. 位置识别率影响下基于博弈的共享单车停车奖惩策略研究[J]. 交通运输系统工程与信息, 2019, 19(1): 97-103. DOI:10.16097/j.cnki.1009-6744.2019.01.015.
[5]	李晓津, 史晨钰, 沙全友. 共享单车乱停乱放问题的治理:博弈论视角[J]. 综合运输, 2021, 43(8): 3-8.
[6]	顾丽梅, 张云翔. 共同生产视角下的城市共享单车服务治理:基于上海市案例的混合方法研究[J]. 公共管理学报, 2019, 16(1): 89-104.DOI:10.16149/j.cnki.23-1523.20181114.001. doi: 10.16149/j.cnki.23-1523.20181114.001
[7]	FEBBRARO A D, SACCO N, SAEEDNIA M. One-waycarsharing: Solving the relocation problem[J]. Transportation Research Record, 2012, 2319(1): 113-120. DOI:10.3141/2319-13. doi: 10.3141/2319-13
[8]	ANGELOPOULOS A, GAVALAS D, KONSTANTOPOULOS C, et al. Incentivized vehicle relocation in vehicle sharing systems[J]. Transportation Research Part C, 2018, 97: 175-193. DOI:10.1016/j.trc.2018.10.016. doi: 10.1016/j.trc.2018.10.016
[9]	朱玮, 汪方心怡, 杨楷雯, 等. 共享单车推荐驻车点与用户引导策略规划方法[EB/OL].[2022-01-08]. http://kns.cnki.net/kcms/detail/31.1738.T.20210616.1329.004.html.
[10]	张惠玲, 王益, 敖谷昌. 城乡结合部路段行人过街影响因素调查与分析[J]. 北京交通大学学报, 2016, 40(3): 110-114. DOI:10.11860/j.issn.1673-0291.2016.03.018. doi: 10.11860/j.issn.1673-0291.2016.03.018
[11]	刘笑影, 屈云超, 汪伟平, 等. 城市轨道站台乘客候车位置选择行为分析与Logit建模[J]. 山东科学, 2020, 33(6): 79-86.DOI:10.3976/j.issn.1002-4026.2020.06.011. doi: 10.3976/j.issn.1002-4026.2020.06.011
[12]	赵淑芝, 赵贝, 朱永刚. 基于SP调查的出行方式选择模型与公交优先政策[J]. 吉林大学学报(工学版), 2009, 39(S2):187-190.DOI:10.13229/j.cnki.jdxbgxb2009.s2.041. doi: 10.13229/j.cnki.jdxbgxb2009.s2.041
[13]	张幸芝, 杨超, 马娟, 等. 基于SP调查的学生自主活动影响因素分析[J]. 情报探索, 2019(6): 54-60. DOI:10.3969/j.issn.1005-8095.2019.06.009. doi: 10.3969/j.issn.1005-8095.2019.06.009
[14]	朱玮, 杨嘉智. 叙述性偏好法实验的有效样本量模型框架[J]. 同济大学学报(自然科学版), 2019, 47(11):1670-1675.DOI:10.11908/j.issn.0253-374x.2019.11.018. doi: 10.11908/j.issn.0253-374x.2019.11.018
[15]	张文波, 左玙璠, 王岳平, 等. 定制公交居民出行方式选择的影响因素[J]. 山东科学, 2021, 34(6): 97-105. DOI:10.3976/j.issn.1002-4026.2021.06.013. doi: 10.3976/j.issn.1002-4026.2021.06.013
[16]	陈林. 基于Logit模型的成渝通道交通选择行为研究[D]. 成都: 西南交通大学, 2013.
[17]	李玉. 城市共享单车选择行为及发展对策研究[D]. 成都: 西南交通大学, 2018.
[18]	魏中华, 王琳, 邱实. 共享单车热点问题及对策解析[J]. 交通工程, 2019, 19(1): 19-23. DOI:10.13986/j.cnki.jote.2019.01.004. doi: 10.13986/j.cnki.jote.2019.01.004
[19]	温子春. 共享单车运营治理转型分析[J]. 合作经济与科技, 2021(11):128-129.DOI:10.13665/j.cnki.hzjjykj.2021.11.050. doi: 10.13665/j.cnki.hzjjykj.2021.11.050

Metrics

Comments

Recommended 0

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0), which permits third parties to freely share (i.e., copy and redistribute the material in any medium or format) and adapt (i.e., remix, transform, or build upon the material) the articles published in this journal, provided that appropriate credit is given, a link to the license is provided, and any changes made are indicated. The material may not be used for commercial purposes. For details of the CC BY-NC 4.0 license, please visit: https://creativecommons.org/licenses/by-nc/4.0

停车方式	要素	属性	水平
分流停车 (接受推荐)	x₁	原停车点到推荐分流停车点之间的距离	100 m,200 m,400 m
分流停车 (接受推荐)	x₂	推荐分流停车点是否与用户来路同方向	1是,0否
就地停车 (不接受推荐)	x₃	到推荐停车点是否需要过马路	1是,0否
就地停车 (不接受推荐)	x₄	货币奖励	0.5元,1.0元,1.5元

最佳停车点	用户来向	推荐比例
A1		B₁	B₂	B₃
	由北至南	30.97%	27.63%	12.33%
	由东至西	29.13%	19.29%	47.08%
	由南至北	16.18%	17.53%	22.91%
	由西至东	16.12%	38.65%	22.40%
	总计	23.10%	25.78%	26.18%
A2	由北至南	28.73%	16.87%	33.16%
	由东至西	21.31%	21.31%	47.90%
	由南至北	15.98%	14.79%	35.78%
	由西至东	18.73%	27.20%	18.38%
	总计	21.18%	20.05%	33.80%

工作日早高峰指标名称	最佳停车点
工作日早高峰指标名称	A₁	A₂
共享单车停车需求	210	250
所需转移需求	160	200
推荐比例	75.06%	75.03%
用户接受度	60.98%	60.94%
预计转移车辆数	96	114
企业成本(货币)	88.974 1元

Diversion parking guidance strategy of shared bicycles under reward mechanism considering user preference

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 9

References 19

Related Articles 4

Metrics

Comments

Recommended 0

方案编号	原停车点到推荐停车点距离x₁/m	是否顺路x₂(1是,0否)	是否需要过马路x₃(1是,0否)	货币奖励x₄/元
1	200	0	1	0.5
2	100	0	0	1.0
3	400	0	1	1.5
4	400	1	1	1.0
5	200	1	0	1.5
6	400	1	0	0.5
7	100	1	1	0.5
8	200	1	1	1.0
9	100	1	1	1.5

[1]	LU Shoufeng, HUANG Zhikang, ZHAO Hongyun. The evolution model and simulation of the viral load of subway passengers [J]. Shandong Science, 2024, 37(2): 97-103.
[2]	CAO Hong, REN Hualing. Optimization study on customized bus stop location and fare considering carbon tax [J]. Shandong Science, 2023, 36(4): 69-79.
[3]	LI Kai-ming, SONG Rui, GUO Xiao-le. Simultaneous vehicle and crew schedule optimization of express buses for high-speed railways considering work-time window [J]. Shandong Science, 2020, 33(2): 71-78.
[4]	YAO Guang-zheng , CAI Chuan-ci , ZHAO Lu-cheng, YE Kai-feng. Research on an evaluation index of urban road intersection congestion based on road condition data [J]. Shandong Science, 2020, 33(2): 91-96.

方案编号	原停车点到推荐停车点距离x₁/m	是否顺路x₂(1是,0否)	是否需要过马路x₃(1是,0否)	货币奖励x₄/元
1	200	0	1	0.5
2	100	0	0	1.0
3	400	0	1	1.5
4	400	1	1	1.0
5	200	1	0	1.5
6	400	1	0	0.5
7	100	1	1	0.5
8	200	1	1	1.0
9	100	1	1	1.5

方案编号	原停车点到推荐停车点距离x₁/m	是否顺路x₂(1是,0否)	是否需要过马路x₃(1是,0否)	货币奖励x₄/元
1	200	0	1	0.5
2	100	0	0	1.0
3	400	0	1	1.5
4	400	1	1	1.0
5	200	1	0	1.5
6	400	1	0	0.5
7	100	1	1	0.5
8	200	1	1	1.0
9	100	1	1	1.5