Transformative
Data
Manhan's services and tools allow city planners to design vibrant, resilient communities.
Bid-Rent Modeling Tools Supported by Manhan
LuminCity
LuminCity is the successor to the Cube Land software commercially distributed by Citilabs and Bentley Systems for integrated land use and travel demand forecasting using bid-rent analysis.
mu-Land
mu-Land is an open source version of the Cube Land bid-rent framework, developed in 2017 with funding from the Lincoln Institute for Land Policy, designed to support simpler sketch planning tools.
Learn more about
Bid-Rent Modeling
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.
step 1
Build Process
Determining variables, zones, land usage categories
step 2
Gathering and inputting data.
Iterative callibration.
step 3
Training and deployment
What can Bid-Rent
Modeling do?