Auckland Transport -Transport Monitoring Services Panel

Auckland Transport wishes to establish a long term panel of suppliers to undertake critical Vehicle, Cycle and Pedestrian traffic counting. The panel will be managed by the Asset Management & Systems team (AMS) to provide for the improvement of existing area based contracts ending in June 2017.It enables a modified strategy for work grouping and an opportunity for suppliers with experience and ab…

Auckland Transport wishes to establish a long term panel of suppliers to undertake critical Vehicle, Cycle and Pedestrian traffic counting. The panel will be managed by the Asset Management & Systems team (AMS) to provide for the improvement of existing area based contracts ending in June 2017.It enables a modified strategy for work grouping and an opportunity for suppliers with experience and ability in pedestrian and cycle counting to introduce new technology to the contract. In this instance, it has been decided that a panel of consultants will provide the most effective and flexible way of delivering data collection services in a continually variable business development environment. It is intended that the Panel will consist of four to six suppliers who will provide monitoring services. AT values a long term relationship with its suppliers and the resultant ability to deliver consistent quality outcomes within a complex environment. In recognition of this, the initial period will be from July/August 2017 to 30th of June 2020, with the possibility of two further 1 year extensions, i.e., 3+1+1 years. The AMS team is part of the Auckland Transport (AT) Assets and Maintenance Group.It creates and maintains asset management plans for all AT assets based on accurate data. To do so the team manages the inspection and monitoring of the condition of the assets and actions a prioritised programme for scheduled maintenance, renewals and improvements. A critical need for better asset management planning across the entire asset lifecycle is creating a demand for better quality data.