Awarded contract
Published
PL0375 Worcestershire Strategic Transport Model (WSTM) Parkway VISSIM Model
10 suppliers have saved this notice.
Looks like a fit? Save this tender and qualify it in Stotles
Description
Direct Award Midlands Highway Alliance Framework to source the incumbent contractor. Amey/Sweco were appointed to develop the WSTM (Worcestershire Strategic Transport Model) on behalf of Worcestershire County Council following a procurement process in 2021 using the MHA framework. The WSTM has been developed in line with transport modelling guidance set out by the Department of Transport (known as Transport Analysis Guidance - TAG). TAG sets out the minimum standards for model development and WSTM meets or exceeds those standards expected of an area wide. A new commission to use the WSTM to develop a VISSIM microsimulation model to support infrastructure funding bids and development planning functions for the new settlement at Worcestershire Parkway.
Qualify tenders faster with AI summaries - see key details in the Stotles app
Never miss a tender again
Get alerts, AI summaries and tools to qualify faster
Explore similar pre-tenders, open or awarded contracts
Browse open tenders, recent contract awards and upcoming contract expiries that match similar CPV codes.
Wolverhampton City Council
234,733.87 GBP
Published 3 days ago
Wakefield Council
353,040.07 GBP
Published 14 days ago
Wakefield Council
214,477.57 GBP
Published 14 days ago
Wakefield Council
428,295.76 GBP
Published 14 days ago
Birmingham City Council
698,743.65 GBP
Published 16 days ago
Leicestershire County Council
4,050 GBP
Published 20 days ago
Wigan Metropolitan Borough Council
79,880 GBP
Published 23 days ago
Explore top buyers for public sector contracts
Discover open tenders, contract awards and upcoming contract expiries of thousands of public sector buyers below. Gain insights into their procurement activity, historical purchasing trends and more.
Sign up to the Stotles Tender Tracker for free
Find even more contracts with advanced search capability and AI powered relevance scoring.