Transformation of Broad Street
The Broad Street project is the result of several years of consultation with the public as part of the Growing Fenland work and March Area Transport Study, as well as in response to the future needs of the High Street as the town continues to grow.
The project has several key aims:
- To reduce standing traffic
- To increase pedestrian space and open space for visitors to the town
- To increase public transport future capacity
- To reduce pollution
- To revitalise the public realm of the town
- To bring back into focus key historic points of interest
Design concepts/headline improvements:
- Traffic signals removed at northern end of the road and replaced with a new mini roundabout
- Northbound roadway removed with conversion to pedestrian space
- Conversion of the southbound lanes to a north/south roadway
- Historic water fountain relocated to a more accessible public space
- Creation of several new zebra crossings throughout the street
- Improved public realm including planters, bike racks and greenery
- The relocation of two double length bus stops
- Replacement paving throughout the area
Above: Existing aerial view of Broad Street, looking south
Above: Artist's impression of Broad Street, looking south
Above: Existing aerial view of Broad Street, looking north
Above: Artist's impression of Broad Street, looking north
When all of the traffic changes are implemented together it is expected that there will be a reduction in the standing traffic that currently happens today. Standing traffic will be replaced with a more freely flowing, steady stream of traffic throughout the town.
While peak times will always be busy, the scheme allows cars to clear the junction more quickly than under the existing layout, and also allows capacity for future anticipated growth in the town.
Traffic modelling has been undertaken to ensure that this is the case using industry standard assessment tools. The modelling used by highway designers when making major changes to road layouts and junctions relies on real-time usage data collected from the town as it is now. This data is then adjusted to anticipate increased traffic volumes due to the growth in the town.