标题： 评估与电动微型移动相关的出行方式选择声明偏好：潜在类别选择方法 显示英文标题

标题： Evaluating Electric Micro-Mobility Related Mode Choice Stated Preferences: A Latent Class Choice Approach

摘要： 本文使用潜在类别选择模型（LCCM）方法，研究了汽车和公共交通使用者在电动微型出行（EMM）模式选择行为中的异质性。研究利用来自1671名布里斯班居民的显示偏好调查数据，识别出具有不同EMM属性敏感度的用户群体。结果显示，特别是在倾向于多式联程或个人微型出行的群体中，EMM的采用潜力显著，主要受天气条件、旅行时间和成本的影响。相反，由于年龄、性别、收入以及缺乏EMM经验等人口统计因素而表现出抗拒倾向的群体，则凸显了改变出行方式所面临的挑战。此外，还进行了类别特征、弹性及地理分布等进一步分析，以生成全面的见解，为政策决策提供支持。这些见解有助于有针对性地投资于微型移动基础设施和综合定价策略，从而促进EMM的采用，推动可持续的城市交通发展。 显示英文摘要

摘要： This paper examines mode choice behaviour regarding Electric Micro-Mobility (EMM) among car and public transport users using a Latent Class Choice Modelling (LCCM) approach. Utilizing stated preference survey data from 1,671 Brisbane residents, the study identifies distinct user segments with heterogeneous sensitivities to EMM attributes. Results reveal significant potential for EMM adoption, notably among segments inclined toward multimodal trips or personal micromobility, driven primarily by weather conditions, travel time, and cost. Conversely, resistant segments characterized by demographic factors such as age, gender, income, and lack of EMM experience highlight challenges in shifting mode choices. Further analyses, including class profiles, elasticities, and geographical distribution, are conducted to generate comprehensive insights that inform policy decisions. These insights support targeted investments in micromobility infrastructure and integrated pricing strategies, thereby enhancing EMM adoption and promoting sustainable urban mobility.