RFQ 2026/47 - Kilcurry Subcatchment Targeted River & Catchment Assessment
Comprador: Newry, Mourne and Down District Council (NMD)
19.550 GBP
Abierta
Plazo de presentación: 27 nov 2026, 12:00 UTC
BRCD Contracts for Innovation Challenge 1
Datos clave (Key Facts)
| Estado | Abierta |
|---|---|
| Importe estimado | Importe no publicado |
| Plazo de presentación | 11 dic 2026, 16:00 UTC |
| Publicado | 9 nov 2026 |
| Comprador | Newry Mourne & Down District Council |
| País | Reino Unido · Newry |
| Código CPV | 32400000, 35125100, 48000000, 72000000, 73000000 |
| Fuente | Find a Tender ↗ |
- Estado
- Abierta
- Importe estimado
- Importe no publicado
- Plazo de presentación
- 11 dic 2026, 16:00 UTC
- Publicado
- 9 nov 2026
- Comprador
- Newry Mourne & Down District Council
- País
- Reino Unido
- Fuente
- Find a Tender
Comprobado:
Prevalece el anuncio oficial. Su estado y condiciones pueden cambiar después de la recopilación.
Descripción
The tender opportunity (Tender 65/2026) will be published on Simply Do platform under the challenge titled: Predicting Demand. Managing Tomorrows Visitors, Today.
"How can local authorities anticipate and manage visitor demand and movement across key destinations, while understanding the factors driving these changes, so they can proactively mitigate potential impacts before they become a problem."
This challenge is focused on transforming how local authorities manage visitor destinations. Using Castlewellan Forest Park as a real-world test environment, the initiative addresses the growing pressures that large rural tourism destinations face from fluctuating visitor demand, which impacts local roads, parking, waste services, biodiversity, and infrastructure.
Historically, council management has relied on static measures and reactive interventions, such as annual visitor numbers or seasonal passes, which fail to provide real-time insights or predictive intelligence. The proposed project aims to transition local authority management from a fragmented, reactive approach to a connected, evidence-led, and predictive decision-making model.
Lotes
1
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