Igo 移动应用程序

设计师： Zilian Li

客户: Ambiwishes Technology

移动类别A' Design Award 铁奖获奖者

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关于 Igo 移动应用程序

Igo是一款智能共享接驳车服务的移动应用程序。该服务旨在为洛杉矶的低收入社区提供经济实惠且安全的出行方式。智能算法将前往邻近目的地的乘客进行匹配,从而提高车辆载客率,并解决首公里与最后一公里的出行难题。该应用还会列出每条线路沿途的就业机会。安全功能包括语音激活紧急警报、一键紧急呼叫以及夜间出行的行程共享。界面简洁明了,核心功能一目了然。

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关于A' Design Award 铁奖

Igo 移动应用程序是 A' Design Award 铁奖得主，这是授予满足人们对设计精良的创作所期待的专业与工业要求的优良设计的声望认可。铁奖得主展现出其创作者的高超技艺、高度专业化、专家级的理解力和创造能力。预计Igo 移动应用程序将成为一件备受推崇、令人钦佩且被珍爱的创作，既实用又创新。这件赢得 A' Design Award 铁奖的设计整合了行业最佳实践，并拥有与专业知识和才华相结合的称职技术特性。Igo 移动应用程序因其严谨而受到尊重，旨在提供有助于让世界变得更美好的生活品质改善。

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由设计师提供的致谢、团队成员及技术详情。

独特属性: Igo is a smart shared shuttle system conceived in response to the transportation equity challenges faced by low income communities in Los Angeles. It aims to provide an economical, efficient, and safe travel solution for residents of these areas. By utilizing intelligent algorithms to match passengers with similar destinations, optimizing passenger load factors, and addressing the First and Last Mile problem, Igo also enhances nighttime commuting safety through built in security measures.
尺寸与包装: Igo is a digital mobility solution available on Apple operating system and Android platforms. It features intelligent route matching, Global Positioning System based navigation, real time data processing, and cloud integrated safety systems. The app supports voice activated emergency alerts and job discovery tools. It operates on a scalable cloud infrastructure ensuring efficient data synchronization and secure user authentication across devices.
标签: Smart Mobility Shuttle, Mobility as a Service, AI Powered Transportation, Sustainable Urban Mobility, Transportation Equity, Inclusive Transportation, Economic Mobility Solutions, Human Centered Design, Intelligent Route Optimization, Smart Safety Features
生产技术: Departing from conventional fixed route shuttle models, Igo employs advanced intelligent algorithms to match passengers travelling to nearby destinations, optimizing vehicle occupancy rates. To further enhance social inclusivity and economic mobility, Igo innovatively integrates job recommendations along routes, helping commuters discover employment opportunities. It also features voice controlled emergency alarms, one click 911 dialling, and trip sharing to boost nighttime commuting safety.
设计挑战: The biggest challenge was making Igo accessible to low income groups with limited access to technology. Social barriers like digital literacy and economic constraints made usability a key focus. Through research, Igo was designed with a simple intuitive interface and an optimized onboarding process. External challenges included adapting to existing transit laws and integrating real time data. Overcoming these obstacles ensured a seamless affordable and inclusive mobility solution.
研究: Igo research focused on urban transportation equity for low income communities in Los Angeles, aiming to identify commuting challenges and improve mobility solutions. Using qualitative and quantitative methods, researchers conducted 50 surveys and 10 interviews. The findings highlighted long commutes, high costs, and safety concerns. These insights guided the development of optimized routes, real time tracking, and job integration, creating a more accessible, efficient, and opportunity driven transit system.
灵感: Inspired by the integration of sharing economy principles with smart transportation, Igo combines the strengths of Uber carpooling model with public transit systems to create a low cost high coverage smart shuttle service. The theme of Igo is Equal Mobility Sharing the Future focusing on breaking down traditional transportation barriers to offer affordable reliable efficient and convenient shared shuttle services for low income communities thereby improving urban mobility equity.
项目周期: Designed and developed from January to April 2023.
操作流程: The User Interface design of Igo is clean and intuitive, using green as the primary colour with black and white accents to emphasize sustainability and convey professionalism. Modular layouts and optimized visual flow enable users to easily access core functions like booking, route inquiries, and safety alerts, minimizing the learning curve. Additionally, intelligent interactions such as simple onboarding, smart icons, and route visualization maps ensure a smooth and convenient user experience.
专利: Copyrights belong to Ambiwishes Technology, 2024
团队成员: Zilian Li
图片版权: Ambiwishes Technology