ui/ux project
Transportation app
Background
Transportation is an integral part of our life, and we may often find ourselves presented with a wide array of travel information on various platforms, while grappling to decide between the different travel routes, convenience, or price.
Project scope: Develop transportation app for
price-sensitive travellers
For this school project, we aimed to develop a transportation application tailored for price-sensitive travellers, leveraging open data to provide comprehensive and budget-friendly travel solutions.
Collaborator /
Timeline
11 weeks (updated 2024)
Role
-
Conduct primary research with users to identify top frustrations when travelling
-
Develop low fidelity prototypes for usability testing
-
Design high fidelity prototypes using Figma to visualise the whole system flow
01 | Problem
(1)
(2)
(3)
Price surge for private hire during wet weather and peak period (84.6%)
No public transport before / after operating hours (59.6%)
A sense of guilt when taking private hire unnecessarily (38.2%)
Top 3 pain points when travelling:
Self-reported questionnaires were given to 52 respondents to identify the pain points when travelling with private hire vehicles and public transport.
Screenshot of sample questions
Identifying cost-saving methods:
When asked about the cost-saving methods employed by respondents when travelling with the abovementioned mode of transportation, here were some of the responses:
Walk
Wait
Compare
Plan ahead
Wait for reduction in price surge
Blindly walk out of private hire surge zone, in hopes of getting a cheaper ride
Switch between different apps to find the cheapest ride
Check last public transport timing and leave their location before then
DEFINING SERVICE GOALS
While taking all the above factors into consideration, we asked ourselves:
How might we allow price-sensitive travellers to make informed decisions effortlessly by filtering, combining and layering data and information?
02 | Research process
Conducted multiple interviews and co-design workshop
We went through a series of iterative process consisting of multiple interviews and co-design workshops to identify the most user friendly interface and visualisations.
Crafting user journeys and developing first set of iteration for both private hire drivers and riders
Testing the preferred data visualisation using paper prototype
Co-design workshop
The Tableau app was also used to visualise the sample data we have collected.
Collection of actual sample data comparing prices across different private hire companies
03 | Solution
Integration of public and private travel data to improve
decision-making process
Move is a mobile application that integrates data to improve the decision-making process of price sensitive travelers. This is done through 4 main functions:
01
Users can customise the display of public bus timings.
Under the 'Public' tab, users can adjust the slider to decide the distance they would like to walk to reach their bus stop.
02
Compares prices across private hire companies and locates nearby pick-up points offering cheaper rides.
Under the 'Private' tab, users can adjust the slider to find a cheaper alternative for private hire at a different location.
03
Uses weather and traffic data to identify price fluctuations for private hire vehicles.
As users slide along the data visualisation curve, it reveals the weather, travel conditions and estimated cost of transport. This provides insightful predictions to know the right time to book their vehicles.
04
Tracks users’ travel expenses to give insight into their travel habits.
Users can make use of
this function to view
their expenditure habits
on transportation.
04 | Service sustainability
Enhancing Decision-Making Through Integrated Data Algorithms and Partnerships
To ensure longevity of the data ecosystem, an algorithm will be applied to the integrated data provided by our various partners to aid users in
their decision-making process.
The data collected from our users’ travel patterns and the generated insights can be provided back to our partners.
05 | Reflection
The screens above were an updated version. I saw the opportunities to make some slight adjustments and UI improvements to the previous screens below.
Skills required: Figma, UX research tools and processes, After Effects, Adobe Illustrator, Adobe Photoshop, Premiere Pro, Tableau Software