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Evolving convenient multimodal transport for everyone through the power of data.

Optimizing transport fleets and infrastructure to improve accessibility and reliability using Location Intelligence.

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Anadue sees an opportunity in Indianapolis to help residents access their public transport options, like IndyGo, more reliably, and making it more likely they will do so through convenient first/last mile options. 

When green tech first/last mile connections to public transport are made more convenient, through being highly available, it makes it far more likely that people will use those options rather than driving a car, or getting an Uber or similar. Accessibility and convenience are the key motivating factors to get people to use transport other than their own cars.

A new wave of sustainable mobility is sweeping the US right now. Ride-sharing micromobility services (scooters and bikes) are in the spotlight, both for the benefits they bring, as well as the challenges they present. Forward-looking cities like Indianapolis have created regulatory frameworks to manage their deployment, in order to bring green, sustainable, well-managed mobility as an option to city residents.

Our CitySmarts product will use data from existing micromobility providers (eg Ford Spin, Lime, Bird) as well as data from transit provider IndyGo, in order to increase the number of transit rides in the city, thereby decreasing vehicular pollution and congestion. Our analytics platform will provide reports to the city on where people are using ride-sharing scooters, where they are parked, and how available they are to local transit hubs and bus stops. These reports will show the city where micromobility operators should deploy more scooters in order to help people bridge the last mile to or from transit stations/bus stops. It will help the city understand if the vehicles are being used efficiently, and provide insight on how to allocate permits for the vehicles, and which areas to target for minimum vehicle availability.

Operators will benefit from these reports as they will be able to improve the utilization of their vehicles, driving more efficiencies in their operations, by deploying the vehicles in areas where there is more demand.   

The net overall effect will be that scooters or bikes will be deployed efficiently, according to demand, to areas where people do not have immediate walking distance access to transit options.

Anadue applications are built to bridge the gap between the city and micromobility operators.

Our City Smarts product also provide an overall view of how micromobility services in the city are complying with regulations, and how efficiently they are meeting the needs of citizens, in addition to the reports on connectivity to city transport. 

The city analytics application will also provide the city with a view of the impact of its transport policies are having on the city in terms of traffic congestion, road speeding etc.

Anadue's analytics applications will provide insights to help the city and micromobility operators to provide more accessible means of connecting to bus services and other transport options. Our solutions help everyone to reclaim cities from cars.

Describe who will use your solution (1,000 characters)

Our solution is designed to bridge the gap between the city government and all transport providers. 1) Short term actions: The city can understand citizen demand for travel, including the location at the time of enquiry. The city can understand scooter journeys that end at important points of interest (pharmacy, school, grocery store, bus stop, etc). This information is used to harmonize the placement of scooters and cargo-bikes to meet the demand and provide reliable seamless journeys. Bus frequency can be matched to demand. 2) Medium-term actions: The performance of scooter fleet operators can be easily compared and this data can be provided to the operators to encourage improved performance. 3) Long term actions: City infrastructure can be planned around actual journeys made, and to encourage switches in transport modes. The placement of scooter parking spaces, cycle paths and the modification of road junctions and traffic lights to make scooters safer and more accessible.

Describe your solution's stage of development

  • Prototype - you have built a prototype and tested it with potential users
  • Pilot - you have implemented your solution in a real-world scenario

Insights from previous testing (500 characters)

In a previous mobility project, we have examined how fleets of vehicles use gas stations of a gas station company and competitors. In partnership with a large gas station company, we examined how fuel cards were used at their stations, and how fleets used their and competitor gas stations. The company used these insights to manage their customers by providing discounts and other incentives to change customer behaviour, to encourage them to use their own brand gas stations rather than others.

Tell us about your team or organization (500 characters)

Anadue has a small management team of experienced professionals with a long history of working together in previous companies. Mike Manchip: Founder/CEO/CTO. Mike has deep experience developing big data analytics solutions. Adam Tarshis: CMO & Business Development. Developed numerous global partnerships. Robin Wheeler: Global Sales. Experienced managing global teams. A team of experienced R&D engineers that have worked with Anadue for several years.

Size of your team or organization

  • 2-10

Funding Request

  • $50,000

Rough Budget (500 characters)

R&D: $24k (Develop adaptors for local data, import local maps, import required POI, develop reports, develop custom GUI) Training and Support: $6k Third-party Licensing / Infrastructure costs: $4k Project Management (inc. scope definition, requirements capture and deployment): $10k Travel, accommodation, etc.: $6k

Describe how you would pilot your idea (1000 characters)

Anadue would work with transport service providers (eg Ford Spin) in Indianapolis, as well as the city, in order to analyse service demand, journey data and vehicle parking data. In conjunction with this, we would also take a feed of data from IndyGo, in order to understand patterns of usage and demand of the BRT service. Anadue's solution will correlate data on journeys with the locations of points of interest (e.g. transit hubs), as well as monitor the availability and utilisation of scooters in every district of Indianapolis. Working with these providers, we would identify areas where potential users of the BRT are currently underserved. Anadue's applications would provide insight into which areas to deploy more permits for active ride-sharing scooters in order to increase availability to potential riders in those areas. Using our solution provide insight into where journeys are taking place and identify areas where infrastructure should be built to support this.

Describe how you would measure the success of your pilot (1000 characters)

A measurable KPI for success is the increase in the number of multimodal trips taken due to the increased convenience of switching between private, public and shared vehicles. This will be calculated via analysis of data received from the three scooter operators showing journeys begining and ending at car parks, transport hubs and other strategic Points of Interest.

Sustainability Plan (500 characters)

Anadue has a SaaS business model with a price based on the number of vehicles. The subscription can be a percentage of the permit fee that the city charges to scooter operators or other shared mobility/rideshare vehicles.
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Attachments (2)

CitySmarts 20190819.pdf

Product Introduction

Anadue One Pager 20190715.pdf

High Level Summary

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