%0 Journal Article %T 基于P + R出行信息的电动汽车用户换乘行为影响因素研究
Analysis of the Impact of P + R Travel Information on Electric Vehicle Users’ P + R Choice Behavior %A 李凯旋 %A 干宏程 %A 王馨玉 %A 高吉 %J Modeling and Simulation %P 791-798 %@ 2324-870X %D 2025 %I Hans Publishing %R 10.12677/mos.2025.144330 %X 现有研究多侧重于对整体小汽车用户群体的停车换乘(Park and Ride, P + R)选择行为分析，缺乏对电动汽车用户群体的专门探讨。考虑到电动汽车用户在充电需求等方面的特殊性，深入研究该用户群体的P + R选择行为对优化城市交通管理具有重要意义。研究在手机出行APP整合P + R出行信息的基础上，通过意向调查法收集了近一千条有关电动汽车用户的P + R选择意向、个体属性等数据，并运用混合选择模型进行量化分析。结果显示，使用过P + R、自驾延误时间增加、P + R停车费用降低、P + R停车场到地铁站的步行时间缩短以及存在充电桩空位时，电动汽车用户选择P + R的意愿显著提升。基于此，提出P + R停车场增加充电桩数量、优化停车场布局、缩短步行时间、实施电动汽车用户停车费用减免等政策，以促进P + R设施在电动汽车用户中的普及和利用。
Most existing literature has largely focused on analyzing the Park and Ride (P + R) choice behavior of all car user group. However, there is a lack of specific exploration of the electric vehicle (EV) user group. Considering the particularity of EV users in terms of charging needs and other aspects, in-depth research on the P + R choice behavior of this user group is of great significance for optimizing urban traffic management. Based on the integration of P + R travel information in the mobile travel APP, this study collected nearly a thousand pieces of data on the P + R choice intentions and individual attributes of EV users through the intention surveys. And it used the hybrid choice model for quantitative analysis. The results indicate that when EV users have used P + R, when the delay time of self-driving increases, when the P + R parking fee decreases, when the walking time from the P + R parking lot to the subway station shortens, and when there are empty charging piles, the willingness of EV users to choose P + R significantly increases. Based on this, policies such as increasing the number of charging piles in P + R parking lots, optimizing the parking lot layout, shortening the walking time, and implementing parking fee exemptions for EV users are proposed. These policies aim to promote the popularization and utilization of P + R facilities among EV users. %K 城市交通， %K 多模式出行信息， %K 停车换乘， %K 电动汽车， %K 混合选择模型
Urban Transportation %K Multimodal Travel Information %K Park and Ride %K Electric Vehicle %K Hybrid Choice Model %U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=112525