Manhan's services and tools allow city planners to design vibrant, resilient communities.
Bid-Rent Modeling Tools Supported by Manhan
Citilabs' CUBE is an open modeling software used by planners and engineers to analyze the effects of new projects and policies on a city’s transportation network, land-use, and its population.
mu-Land is an open source version of of the CUBE bid-rent framework, developed under a research project funded by LILP, that enhances the economic analysis of scenario planning tools.
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How Bid-rent Modeling can help your organization
Bid-Rent modeling can be combined with a variety of land use forecasting methods to provide an additional layer of demographic and economic detail that isn't internally supported by traditional scenario planning tools.
With Bid-Rent modeling, organizations can easily conduct multiple 'What if?' analyses to prepare for a wide range of scenarios. Parameters, variables, and timeframes can all be quickly adjusted to stay ahead of possible outcomes.
The Bid-Rent process allows organizations to incorporate data from multiple sources, which can then be routinely fine-tuned to create accurate baseline models. When combined, these data sets offer a holistic and comprehensive overview of a given locality.
Bid-rent modeling allows organizations to challenge assumptions, answer new questions, and identify variables that will have the most influence, were previously hidden, or prove to be the most turbulent.
How does it work?
Bid rent modeling combines real estate choice modeling and consumer behavior patterns in a bid auction framework to predict demand for land usage needs.
Determining variables, zones, land usage categories
Gathering and inputting data.
Training and deployment
What can Bid-Rent
To see case studies of Bid-Rent Modeling in use,
and other examples of Manhan's previous work,
visit the Project Database