National Freight Model (Phase 2)

英国的货运系统规模庞大，约有19.5万家企业，250万名员工，为经济贡献了1210亿GB的总附加值。在大多数地方，轻型货车和重型货车贡献了约30%的交通碳排放。英国最近的每一项主要研究都注意到了货运方面的重大数据限制，NIC的结论是，因此，计划系统中存在“货运盲目”。作为当前效率低下的一个明显症状，人们认为，在英国道路上注册的大约30%的HGV正在空驶。这导致了一系列问题，如不必要的成本、拥堵、额外的车辆里程和更高的排放。开发任何新的货运解决方案的第一步是在聚合和细分水平上获得足够的数据。由于货运的特殊商业敏感性，无法获得广泛的数据。然而，建模可以帮助填补这一空白。我们的项目通过将来自各种来源的大量地理空间数据和模型汇集成一个完全开放的国家货运模型来填补这一空白，供地方当局、顾问、政府和公众使用。该模型的设计将使路线/流量/拥堵可以通过广泛的类别进行探索和细分，以帮助下游分析和应用。

The UK Freight system is extensive comprising around 195,000 enterprises, 2.5 million employees, and contributing £121 billion gross value added (GVA) to the economy. In most places, LGVs and HGVs contribute ~30% of transport carbon emssions. Every recent major UK study has noted the significant data limitations within freight with the NIC concluding that, as a result, there is "freight blindness" in the planning system. As a clear symptom of the current inefficiencies, it is thought that around 30% of UK registered HGVs on the UK's roads are "running empty". This is leading to a range of issues such as unnecessary costs, congestion, additional vehicle miles and higher emissions.The first step in developing any new freight solution is availability of adequate data at an aggregate and disaggregate level. Due to the particular commercial sensitivities of freight, wide-spread data is not available. However, modelling can help fill this gap. Our project fills this gap by bringing together extensive geospatial data and models from wide range of sources into a fully open National Freight Model available for use by local authorities, consultants, government and the public. The model will be designed such that route/volume/congestion can be explored and segmented through a wide range of categories to aid downstream analysis and application.