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Share your daily commute on Last Mile KL — an anonymous, open-data platform that maps the city’s commuting demand between apartments, train stations, and workplaces. Join us in making our city a better place.


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We aim to make getting to the train stations simple, reliable, and accessible for everyone. The open-data from Last Mile KL allows people to view popular commuting routes, peak commuting hours and gauge willingness to pay — so people can design creative solutions that can hopefully reduce individual car usage during peak hours, like building-to-train shuttle services or carpool services.
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Total Submissions
12,482
Top Apartment Cluster
Mont Kiara
Top Office Cluster
KL Sentral
Peak Commute Window
07:30 - 09:00
Median Willingness to Pay
RM 5.00/trip
Corridor Intelligence
Monitor corridor growth, uncover underserved nodes, and prioritize pilots using commuter-submitted demand.
Filter Data
Deployment Pipeline
Ranked opportunities calibrated by commuter demand, growth velocity, and route execution feasibility.
Strategic shuttle route linking high-density housing to a major MRT transfer point.
Chronic bottleneck corridor where demand spikes faster than existing feeder coverage.
Emerging tech-corridor pattern with repeatable morning peaks and stable willingness to pay.
Civic FAQ
Everything you need to know about Kuala Lumpur's Last Mile and how the platform works.
It is for residents, shuttle operators, entrepreneurs, building managers, employers, urban planners, and anyone who wants to improve commuting in Kuala Lumpur. Residents can surface their needs, while operators and decision-makers can use the data to identify viable transport opportunities.
Residents can submit their commute in under 60 seconds by entering their apartment or condo, office building, travel time, frequency, and willingness to pay for a shuttle to the nearest station. No login is required, and the process is designed to be quick and anonymous.
Operators and entrepreneurs can explore the dashboard to spot high-demand routes, understand peak commute times, and see pricing willingness. Instead of guessing where a shuttle might work, they can use real demand patterns to identify viable routes and launch services with more confidence.
Buildings can understand whether their residents or workers need better transport access and use that insight to partner with operators. Employers can better understand employee commute friction, reduce lateness and stress, and explore transport subsidies or shared shuttle initiatives.
The dashboard is designed to show public, aggregated insights such as top apartments with demand, top office buildings with demand, common travel corridors, peak commute times, and willingness to pay. The goal is to make mobility demand visible in a way that is useful, not invasive.
Users only need to provide commute-related details such as their apartment or condo, office building, travel time, frequency, and willingness to pay for a shuttle service. The platform focuses on route demand, not personal identity.
Yes. The platform is built to be anonymous by default. No name, phone number, login, unit number, or personal tracking is required to submit a commute. Data is anonymized, aggregated, and made publicly accessible in a responsible way.
No personal data is required to use the platform. The system is designed to avoid collecting personally identifiable information. An optional contact field may be offered only for users who want to join a pilot or be contacted about a specific transport initiative.
No. Kuala Lumpur's Last Mile is not a transport operator, a ride-hailing app, or a data-selling company. It is a shared public intelligence layer for the city, built to help reveal demand and support better last-mile solutions.
Because last-mile transport works better when demand is visible. Public access allows residents, operators, employers, buildings, and city stakeholders to work from the same reality. It creates transparency, lowers the barrier to action, and helps the city respond faster to real mobility needs.
The platform can reveal practical route demand such as apartment-to-station, station-to-office, or building-to-building movement. For example, a repeated commuter flow from a residential building to a nearby MRT station could indicate that a shuttle route is viable.
First, residents submit their commute in under a minute. Second, the platform aggregates and displays the demand through a live public dashboard. Third, operators, buildings, and employers can use the data to design routes, run pilots, or launch services based on actual commuter needs.
If last-mile friction is reduced, more people can realistically choose public transport. That can mean fewer cars on the road, shorter commute times, lower emissions, and a more liveable city. Small transport gaps create big behavior changes, and this platform is meant to expose those gaps clearly.
You can take part by submitting your commute, exploring the dashboard, or using the data to build a route or pilot. Whether you are a resident, employer, building manager, or operator, the goal is the same: turn hidden demand into visible action.
We fully agree that walkability should be improved. However, infrastructure upgrades take time. This project focuses on immediate, practical solutions — while also surfacing walkability gaps that can be shared with DBKL and relevant authorities for longer-term improvements.
Buses already exist, but they don’t always match real commuting patterns. Our goal is not to replace buses, but to complement and improve the system by identifying where demand exists — so routes, frequency, and connections can be better aligned to how people actually travel.
E-hailing works well for individual trips, but it doesn’t scale efficiently for daily peak-hour commuting. Shuttles and carpools move more people at once, at a lower cost per person, and reduce the total number of cars on the road — which is key to easing congestion.
We are not making money from this project. This is a citizen-led initiative to improve how Kuala Lumpur moves. The data is open and free to use — we do not sell data.
Once sufficient data is collected, we aim to make insights publicly available so residents, buildings, and operators can identify opportunities. You can also reach out to us directly, and we’ll help connect relevant parties where possible.
We take data quality seriously and are exploring ways to minimise spam and duplicate entries. As the dataset grows, patterns and anomalies can be identified and filtered to ensure insights remain useful and credible.
No. We do not collect any personal identification information. All data is collected at the building level only and remains anonymous.
Yes. Anyone living or working in Klang Valley can participate. This includes residents, workers, and commuters of all nationalities.
It is estimated that nearly 90% of road users in the Klang Valley are estimated to drive alone daily, contributing significantly to traffic congestion. Solving that first stretch can shift thousands of commuters away from cars during peak hours - easing congestion for everyone, including you.
You can still participate. Just select your nearest landmark or neighbourhood and the closest train station. If enough people in your area respond, it can help identify demand for shared solutions like carpools or pick-up points nearby.