The promotion of electric vehicles is regarded as a critical aspect of government policy to transition towards a greener mobility system to reduce the pollution load from vehicular emission and deal with the challenges associated with future energy security for the transport sector. Motorized two-wheelers (M2W) are the popular means of personal mobility, and are accounting for nearly 32% of transportation-related greenhouse gas emissions in India. In this regard, replacing existing M2W with alternative fuelled vehicles such as the Electric Two-Wheelers (E2W) could significantly minimize the negative implications associated with the usage of M2W. Therefore, this study has attempted to identify and prioritize the key E2W specific attributes to propose necessary policy-level interventions for projecting E2W as an attractive alternative. Initially, an exhaustive set of twenty-three attributes influencing E2W-usage were identified from the literature. Subsequently, experts' opinions and users' perceptions on the importance of the identified attributes were captured and analyzed using appropriate Multi-Criteria-Decision-Making (MCDM) techniques. The Analytical Hierarchy Process (AHP) was used to analyze experts' opinions. The RIDIT (Relative to an Identified Distribution and Transformation) method was used to analyze users' perceptions. Finally, both sets of results are compared and combined to derive key E2W specific attributes based on their perceived importance by experts and users. Results indicate that the following attributes, namely, purchase cost and operation cost (Economy-related), range, top speed, battery-charging duration, and acceleration (Vehicle and battery-related), health benefits and reduction in tailpipe emission (User-perceived benefit-related), and charging infrastructure, and parking infrastructure (Transport infrastructure-related) are perceived as the key attributes influencing E2W in the typical Indian context. Based on the results, it is recommended that E2W with a longer range, higher speed, and faster acceleration rate could be promoted as a sustainable alternative to conventional M2W. The provision of adequate charging and parking infrastructure was critical for E2W usage in the Indian context.

电动汽车的推广被视为政府政策的一个重要方面，旨在向更环保的交通系统过渡，以减少汽车排放造成的污染负荷，并应对与交通部门未来能源安全相关的挑战。机动两轮车 (M2W) 是流行的个人出行方式，占印度交通相关温室气体排放量的近 32%。在这方面，用电动两轮车 (E2W) 等替代燃料车辆取代现有的 M2W 可以显着减少与使用 M2W 相关的负面影响。因此，本研究试图确定关键的 E2W 特定属性并对其进行优先排序，以提出必要的政策层面干预措施，以将 E2W 预测为有吸引力的替代方案。最初，从文献中确定了一套详尽的 23 个影响 E2W 使用的属性。随后，使用适当的多标准决策 (MCDM) 技术捕获和分析专家的意见和用户对已识别属性的重要性的看法。层次分析法（AHP）用于分析专家的意见。RIDIT（相对于已识别的分布和转换）方法用于分析用户的感知。最后，将两组结果进行比较和组合，以根据专家和用户感知的重要性得出关键的 E2W 特定属性。结果表明，以下属性，即，使用适当的多标准决策 (MCDM) 技术捕获并分析了用户对已识别属性重要性的看法和看法。层次分析法（AHP）用于分析专家的意见。RIDIT（相对于已识别的分布和转换）方法用于分析用户的感知。最后，将两组结果进行比较和组合，以根据专家和用户感知的重要性得出关键的 E2W 特定属性。结果表明，以下属性，即，使用适当的多标准决策 (MCDM) 技术捕获并分析了用户对已识别属性重要性的看法和看法。层次分析法（AHP）用于分析专家的意见。RIDIT（相对于已识别的分布和转换）方法用于分析用户的感知。最后，将两组结果进行比较和组合，以根据专家和用户感知的重要性得出关键的 E2W 特定属性。结果表明，以下属性，即，RIDIT（相对于已识别的分布和转换）方法用于分析用户的感知。最后，将两组结果进行比较和组合，以根据专家和用户感知的重要性得出关键的 E2W 特定属性。结果表明，以下属性，即，RIDIT（相对于已识别的分布和转换）方法用于分析用户的感知。最后，将两组结果进行比较和组合，以根据专家和用户感知的重要性得出关键的 E2W 特定属性。结果表明，以下属性，即，购买成本和运营成本（经济相关）、续航里程、最高速度、电池充电持续时间和加速度（车辆和电池相关）、健康益处和尾气排放减少（用户感知利益相关）以及充电基础设施, 和停车基础设施（与交通基础设施相关的）被认为是在典型的印度背景下影响 E2W 的关键属性。根据结果​​，建议可以推广具有更长航程、更高速度和更快加速度的 E2W 作为传统 M2W 的可持续替代品。在印度，提供充足的充电和停车基础设施对于 E2W 的使用至关重要。