Skip to content
Igo Mobil applikasjon by Zilian Li

Igo Mobil applikasjon by Zilian Li is a highly esteemed winner of the very prestigious 2025 A' Design Award i Jern in Mobilteknologi, applikasjoner og programvaredesign Competition Category.


JernMobil· 2025

Igo Mobil applikasjon

by Zilian Li

Client: Ambiwishes Technology

A' Design Award i Jern Winner in Mobil Category

Colors

The Design

About Igo Mobil applikasjon

Igo er en mobilapplikasjon for en smart, delt skyttelbusstjeneste. Tjenesten har som mål å gi rimelig og trygg transport for lavinntektssamfunn i Los Angeles. Intelligente algoritmer matcher passasjerer som reiser til destinasjoner i nærheten av hverandre, noe som forbedrer kjøretøyets belegg og løser utfordringer knyttet til de første og siste kilometerne av reisen. Applikasjonen viser også jobbmuligheter langs hver rute. Sikkerhetsfunksjonene inkluderer stemmeaktiverte nødvarsler, nødanrop med ett klikk og deling av reiseinformasjon for nattreiser. Grensesnittet er enkelt, slik at kjernefunksjonene er lette å finne.

The Recognition

About the A' Design Award i Jern

Igo Mobil applikasjon er vinner av A' Design Award i Jern, en prestisjefylt anerkjennelse som tildeles gode design som oppfyller de profesjonelle og industrielle kravene man forventer av veldesignede skaperverk. Jernvinnere viser stor dyktighet, høy spesialisering, ekspertforståelse og kreativ kapasitet hos skaperne. Igo Mobil applikasjon forventes å være et høyt ansett, beundret og verdsatt skaperverk som er praktisk og nyskapende. Dette designet, som har vunnet A' Design Award i Jern, integrerer bransjens beste praksis og har kompetente tekniske egenskaper knyttet til kunnskap og talent. Igo Mobil applikasjon respekteres for sin grundighet og er utformet for å gi forbedringer i livskvalitet som bidrar til å gjøre verden til et bedre sted.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties
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.
Dimensions & Packaging
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.
Tags
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
Production Technology
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.
Design Challenge
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.
Research
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.
Inspiration
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.
Project Duration
Designed and developed from January to April 2023.
Operation Flow
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.
Patents
Copyrights belong to Ambiwishes Technology, 2024
Team Members
Zilian Li
Image Credits
Ambiwishes Technology

Sponsored

Explore Beyond Designers.org

Discover products, services and opportunities from our advertising partners.

Good Design Deserves Great Recognition

Nominate Your Work for the A' Design Award.

Nominate