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Massachusetts Metropolitan Area Planning Council·Massachusetts

Looking to purchase a software product for multiple land use allocation models

Closes 11/3/2025$100k – $500kInvitation for Bid
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Description

The Metropolitan Area Planning Council (MAPC) is seeking bids for the purchase of land use allocation models for Massachusetts. The models should allow MAPC to craft and analyze multiple scenarios using an interactive 2D mapping environment to manage model data inputs and results. The selected vendor will provide the models, customize MAPC's existing land use allocation model frameworks, and provide training. The contract will be for a period of two years with the option for three annual contract extensions. • The models should cover the 101 cities and towns within the MAPC region and all 351 municipalities in the State of Massachusetts. • The models should allocate synthetic households, population, and employment to the Census Block level. • The user should be able to upload alternative walk, bike, transit, and drive networks used for motorized and non-motorized accessibility calculations. • The models should allow the user to input a development pipeline of projects recently completed, under construction, or anticipated that influences the supply of development in the future, resulting in changed allocation.

Attached files

Contact

Jessie Partridge Guerrero(Procurement Contact)

[email protected]

(617) 933-0726

Key dates

Opened
10/20/2025
Closes
11/3/2025
Duration
2 years

Last updated

Details

Type
Invitation for Bid
Industry
Information Technology and Software Development
NAICS
511210
Solicitation №
BD-26-1217-MAP06-MAP06-121926

Budget estimate

$100,000 – $500,000

The budget for this contract is estimated to be between $100,000 and $500,000. This estimate is based on the fact that the contract is for the purchase of software products and services, and the vendor will provide customization and training. The actual budget may vary depending on the complexity of the models, the level of customization required, and the number of users.

AI estimate from the solicitation

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