Understanding parking decisions with structural equation modeling
Understanding parking decisions with structural equation modeling
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DOI：
10.1016/j.physa.2019.02.038
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发表时间：
2019-06
期刊：
影响因子：
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通讯作者：
Fang Zong;Ping Yu;Jinjun Tang;Xiao Sun
中科院分区：
文献类型：
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作者：
Fang Zong;Ping Yu;Jinjun Tang;Xiao Sun
停车行为和停车决策机制的分析是平衡停车时空分布、制定停车管理政策的基础。利用2014年北京中国的停车信息，建立了结构方程模型，分析了出行者的个人/家庭属性、出行目的和停车费率对停车决策的影响。研究了停车时段、停车位置、停车时长三种停车决策之间的单向和双向关系。结果表明，道路停车与停车时长之间存在双向关系。造成这种关系的原因是，免费合法的路边停车位的布局没有结合周围的土地利用属性和出行目的，导致停车选项的时空分布不均。结果还表明，停车费的增加会促进停车时长的缩短；以工作为目的的出行者的停车时长会更长；乘客数量越多，路边停车的概率就越高。这些发现可以帮助制定通过控制相关因素来规范停车行为的措施。通过应用结构方程模型，本研究还为检验相关停车决策之间的相关性和将停车决策过程图形化做出了贡献。
Analysis of parking behavior and the mechanism of parking decisions is essential for balancing the spatial–temporal distribution of parking and formulating parking management policies. Using parking information from Beijing China, in 2014, a structural equation model was established to analyze the impacts of travelers’ personal/family attributes, the trip purpose and parking rates on parking decisions. The one-way and two-way relationships between three parking decisions, namely, the parking period, parking location, and parking duration were examined. The results indicate that there is a two-way relationship between on-street parking and parking duration. The reason for this relationship is that the layout of free and legal on-street parking spaces does not combine the surrounding land use properties and trip purpose, resulting in an uneven spatial and temporal distribution of parking options. The results also show that the increase of parking fees will promote shortening the parking duration; travelers with the purpose of work will have longer parking duration; and the greater the number of passengers, the higher the probability of on-street parking will be. These findings can be used to help developing measures to regulate parking behavior by controlling relevant factors. By applying a structural equation model, this study also makes a methodological contribution to testing the correlation among related parking decisions and graphically visualizing the parking decision-making process.