# 嘉兴市居民电动自行车出行行为研究Study on Travel Behavior of Electric Bicycle in Jiaxing

DOI: 10.12677/OJTT.2019.81006, PDF, HTML, XML, 下载: 412  浏览: 712

Abstract: Electric bicycles are popular with residents because of their flexibility, easy operation and eco-friendly. However, the travel behavior of residents’ electric bicycles is not standardized, and the management of them is difficult, which poses a threat to urban traffic. This paper investigates the travel of electric bicycles in Jiaxing. According to the survey data, it analyzes the travel frequency, travel purpose and travel time of residents. It is found that the main travel purpose of electric bicycles for residents is commuting, and the traveling time of 90% residents by electric bicycle is less than 30 minutes. Statistics on five kinds of violations of regulations, including running a red light, random lane change, manned, overspeed, drunk riding found that the speed of electric bicycles is relatively high, and the manned problem is common. The individual attributes, travel characteristic attributes and scenario attributes are considered as the independent variables; a binary logit model is built to analyze the relationship between the independent variables and the travel frequency of residents’ electric bicycles. The estimation results of the model parameters show that occupation, travel time and travel purpose influence significantly travel frequency of electric bicycles; the longer the travel time, the higher the travel frequency of electric bicycles. Based on model results and the violations of regulations of the electric bicycle travel, a series of measures and suggestions are proposed for the electric bicycle travel from the formulation and implementation of the policy and the improvement of transportation planning and management in Jiaxing.

1. 引言

2. 嘉兴市居民电动自行车出行特征统计分析

2.1. 电动自行车使用者特征

Table 1. Age and monthly income distribution of electric bicycle user

2.2. 电动自行车出行特征

2.2.1. 出行频率

2.2.2. 出行目的

Table 2. Travel characteristics distribution of electric bicycle

2.2.3. 出行时长

2.3. 电动自行车出行违章行为分析

2.3.1. 闯红灯行为

Table 3. Statistic analysis of running a red light behavior of electric bicycle’s travel

2.3.2. 随意变道和抢道

Figure 1. Random lane change behavior of electric bicycle’s travel

2.3.3. 电动自行车载人情况

Figure 2. Manned behavior of electric bicycle’s travel

2.3.4. 电动自行车超速行为

Figure 3. Overspeed behavior of electric bicycle’s travel

2.3.5. 电动自行车酒驾问题

Figure 4. Drunk riding behavior of electric bicycle’s travel

3. 电动自行车出行行为建模

3.1. 模型描述

Table 4. Selection and definition of independent variables

${P}_{ni}=\frac{\mathrm{exp}\left({\beta }_{k}{X}_{ni}）}{\underset{j\in {S}_{i}}{\sum }\mathrm{exp}\left({\beta }_{k}{X}_{nj}）}$ (1)

3.2. 模型参数标定

Table 5. Estimation results of a binary logit model for travel frequency of electric bicycle

3.3. 讨论和分析

4. 建议

4.1. 政策制定和执行

2018年新颁布的《电动自行车安全技术规范》 (GB 17761-2018)规定电动自行车出行的速度在0 km/h~25 km/h，而本文研究结果显示嘉兴市有约40%的人存在电动自行车出行超速行为，部分原因由于出行者自身安全意识薄弱，另一部分原因是电动自行车设计时速度较高。电动自行车为人们出行带来便利的同时，其违规行为也给道路交通带来了安全隐患，目前我国电动自行车保有量高达2.5亿辆，法律法规的制定以及执行过程应考虑实际情况，逐步推进。建议对生产、销售超标电动自行车的厂家依法取缔，在交通流量较大的城市地区，应禁止超标电动自行车上路，在交通流量较少范围较大的农村地区应逐步取缔超标电动自行车。

4.2. 交通规划和管理的改善

5. 结论

NOTES

*通讯作者。

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