Ives Street's Connectome software makes travel demand modeling practical. We can run scenarios quickly and display results in interactive web visualizations. We compare interventions in all modes using the same metric. And we're ready to evaluate today's most pressing planning questions: road user pricing, capacity expansions and reductions, bus rapid transit, parking policies, and the interactions between land use and transportation.
Connectome is a state-of-the-art travel demand model, but it's not meant to replace your model of record. Connectome can serve as a screening tool to rapidly evaluate a wide range of scenarios and select finalists. It can help anyone who wants data-driven transportation analysis: not only Metropolitan Planning Organizations, but also Departments of Transportation, city agencies, public transit authorities, and private firms.
Ives Street joins teams and serves agencies directly, using Connectome to answer questions or helping agency staff calibrate and use the model.
Ives Street's purpose-built Connectome software is a multimodal travel demand model optimized for planning and decisionmaking.
Connectome measures economic benefit. Connectome is designed to measure the total transportation benefit from a change to any mode. We calculate consumer surplus using the logsum accessibility method, established in the literature for decades as the most rigorous way to measure the traveler-facing benefits of transportation.
It also measures everything else you care about. In addition to consumer surplus, Connectome can also report the impacts that any scenario will have on volume-capacity ratios, travel time savings, levels of service, mode splits, VMT, and other common metrics. We also can disaggregate any of these metrics to find out which geographies, and which demographics, will benefit in a given scenario.
Calibration is easy. Every input can be drawn from public sources. Where a region already has data, we can use it to improve Connectome’s precision, but the open defaults are enough to get meaningful results.
Connectome runs fast enough to use in the planning process. We can calculate scenario results for a mid-size metro area within an hour, or compare dozens of scenarios in a weekend.
It accounts for the factors that matter for every mode. Connectome comes with detailed models of public transit, pedestrian, and bicycle infrastructure and route-choice by default.
Connectome is as transparent as it gets. We share the full source code of Connectome with agencies. You don’t have to take our word for anything. You’ll own your own model, and you can modify it however you need.
We calibrate the Connectome software to your city or region, including travel demand analysis and traffic assignment. We use open data sources for calibration by default, but can supplement them with any kind of regional data. You can use your existing transportation analysis zones or we create a new set at any resolution. Your agency will have access to the source code of the calibrated model for unlimited in-house use. Calibration is typically delivered within eight weeks.
We apply a calibrated model to study scenarios. This may include changes to the roadway network, public transport, walking or bicycling infrastructure, road pricing, land use changes, etc. We particularly specialize in capturing the effects of induced travel. Scenario analysis can be used for long-range strategic planning, for comparing alternatives in a corridor or district plan, or for project prioritization.
We build, publish, and host interactive visualizations to communicate every part of the regional model. These can include detailed breakdowns of every factor to inform analysts, or they can represent key results for communication with non-technical stakeholders or the public.
Planning studies can't always afford the time or cost of a conventional travel demand model, so they fall back on simpler tools that miss the interactions between modes, traffic, and land use. Connectome changes that arithmetic: we bring model-grade analysis to corridor studies, district and comprehensive plans, and project prioritization, and we do it on a planning study's timeline and budget. We work at any scale, from a small town to a major metropolitan region, serving agencies directly or joining consultant teams.
Ives Street assessed the implications of a potential change to Michigan's fee for electric vehicles.
An independent traffic study of a potential Interstate widening in the Denver region, including induced travel.
Ives Street supported an analysis of the climate impacts of U.S. Federal Surface Transportation Reauthorization.
Ives Street mapped neighborhood characteristics across D.C. to support comprehensive planning.
The world's most complete database of indicators of sustainable transportation.
An assessment of potential road pricing in Washington DC, using the Urban Connectome.
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Principal
Taylor Reich is the original creator of Connectome and a leader in the operationalization of access metrics. They have led international projects on a wide variety of topics at the intersection of transportation planning and data, managing teams of technical experts across continents. Their work has informed national decisionmaking in the USA, India, and Mexico, and has received media attention from outlets in over 20 countries, including the Guardian and the BBC. Taylor also sits on the Board of Directors of MobilityData, the international data standards organization for public and shared mobility.
Ives Street draws on a wide bench of experts to build teams that meet the needs of our clients. We work closely with collaborators who have expertise in areas including geospatial data science, public transport planning, traffic assignment algorithms, data visualization, and federal transport policy.
