Exploring the relationship between bike-sharing ridership and built environment characteristics: A case study based on GAMM in Boston

doi:10.3969/j.issn.1004-9479.2023.02.2021256

Abstract

Abstract:

As a low-carbon and environmentally friendly travel mode, bike-sharing (BS) has developed rapidly in many cities at home and abroad. However, existing studies have paid little attention to the relationship between urban morphology factors and BS ridership, and overlooked the nonlinearity of the relationship. This study analyzes the spatio-temporal characteristics of BS trips based on Boston's BS system data. We use generalized additive mixed model (GAMM) to capture the nonlinear relationship between BS ridership and built environment characteristics. The results show that: (1) BS ridership has a spatial pattern of attenuation from the downtown area to the periphery area. BS travel distances are concentrated at 3km, with a limit of 6km. (2) Temperature, weekday, and weather have significant effects on BS ridership. (3) BS ridership is linearly and positively correlated with total population, road density and metro accessibility, and has a nonlinear relationship with street orientation entropy and average road length. Finally, we provide corresponding policy implications for China based on the empirical findings.

Key words: bike-sharing, spatio-temporal characteristics, built environment, generalized additive mixed model, Boston, implications

摘要：

共享单车作为低碳环保的交通出行方式，在全球许多城市得到了快速发展。但已有共享单车与建成环境的关系研究较少关注街区空间尺度及形态因素，且忽略了影响因素的非线性作用。基于波士顿共享单车出行数据，分析共享单车出行的时空特征；运用广义可加混合模型，解析骑行量与街区建成环境的关系。结果表明：①波士顿共享单车骑行量由中心区向城市外围呈圈层梯度递减趋势，骑行距离具有3km集中骑行圈与6km极限骑行圈特征；②周末、天气、温度等时变因素会显著影响单车使用；③骑行量与街区总人口数、路网密度和地铁接入性显著正相关，与街区路网方向熵、平均路段长度分别呈L形、倒U形的非线性关系。最后，从可骑行社区构建、TOD慢行系统建设以及精准化共享单车投放等方面，阐述了研究对我国城市的启示。

关键词: 共享单车, 时空特征, 建成环境, 广义可加混合模型, 波士顿, 启示

Bingjie YU, Yuan LIANG, Linchuan YANG. Exploring the relationship between bike-sharing ridership and built environment characteristics: A case study based on GAMM in Boston[J]. World Regional Studies, 2023, 32(2): 48-58.

喻冰洁, 梁源, 杨林川. 波士顿共享单车出行与街区建成环境的关系研究[J]. 世界地理研究, 2023, 32(2): 48-58.

Figures/Tables 7

Fig.1 Spatial distribution of Blue Bikes' stations in Boston

Tab.1 Descriptive statistics of variables

变量		描述	平均值	标准差	最小值	最大值
站点特征	站点日出行量	从该站点出发的订单数量	36.81	20.86	0.00	372.00
站点特征	站点停车总容量	每个站点的总泊位数量	17.76	4.40	3.00	47.00
建成环境指标	人口数量	单位：1000人	1.29	0.64	0.00	3.48
	距城市CBD的距离	单位：1000m	5.82	3.18	0.19	14.44
	职住混合指数	1=最混合，0=最单一	0.62	0.22	0.00	0.96
	距最近公交站距离	单位：100m	2.09	1.25	0.14	7.15
	地铁接入性	站点500m范围内有地铁站（1=有，0=无）	0.48	—	—	—
	路网密度	单位：km/km²	20.33	2.24	12.55	28.03
	平均路段长度	单位：m	68.36	6.89	45.89	91.55
	路网方向熵	越小代表街道方向越规整	3.34	0.17	2.49	3.55
时变因素	周末	1=周末，0=工作日	0.28	—	—	—
	天气	1=雨天，0=晴天	0.27	—	—	—
	平均温度	单位：摄氏度	22.41	3.65	12.00	30.50

Fig.2 The spatial distribution of station-level average daily ridership

Fig.3 The total daily ridership during the study period

Fig.4 The probability density distribution of travel distance

Tab.2

参数	解释变量	系数估计值	标准误	Z值	p值
参数项	截距项	2.902	0.071	41.077	<0.001
	周末	-0.105	0.003	-40.201	<0.001
	天气	-0.207	0.002	-84.539	<0.001
	地铁接入性	0.470	0.111	4.279	<0.001
参数	解释变量	估计自由度	参考自由度	卡方检验量	p值
非参数平滑项	时间趋势项	8.828	8.991	4102.000	<0.001
	平均温度	8.957	8.999	1780.000	<0.001
	站点停车总容量	2.587	2.588	38.740	<0.001
	人口数量	1.000	1.000	4.969	0.026
	职住混合指数	1.000	1.000	1.717	0.190
	距最近公交站距离	1.000	1.000	0.464	0.496
	距城市CBD距离	1.000	1.000	33.880	<0.001
	路网密度	1.000	1.000	7.713	0.005
	街道平均长度	3.911	3.915	19.780	0.001
	路网方向熵	4.958	4.961	14.720	0.011
调整后 $R 2$		0.878
解释的偏差		90%
样本量		26 312

Tab.2

参数	解释变量	系数估计值	标准误	Z值	p值
参数项	截距项	2.902	0.071	41.077	<0.001
	周末	-0.105	0.003	-40.201	<0.001
	天气	-0.207	0.002	-84.539	<0.001
	地铁接入性	0.470	0.111	4.279	<0.001
参数	解释变量	估计自由度	参考自由度	卡方检验量	p值
非参数平滑项	时间趋势项	8.828	8.991	4102.000	<0.001
	平均温度	8.957	8.999	1780.000	<0.001
	站点停车总容量	2.587	2.588	38.740	<0.001
	人口数量	1.000	1.000	4.969	0.026
	职住混合指数	1.000	1.000	1.717	0.190
	距最近公交站距离	1.000	1.000	0.464	0.496
	距城市CBD距离	1.000	1.000	33.880	<0.001
	路网密度	1.000	1.000	7.713	0.005
	街道平均长度	3.911	3.915	19.780	0.001
	路网方向熵	4.958	4.961	14.720	0.011
调整后 $R 2$		0.878
解释的偏差		90%
样本量		26 312

Fig.5 The relationship between the dependent variable and explanatory variables（grey shades refer to 95% CI）

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