Notice - Replacement of the English and French Web services (WMS and ESRI REST) with a bilingual one. The NRN product is distributed in the form of thirteen provincial or territorial datasets and consists of two linear entities (Road Segment and Ferry Connection Segment) and three punctual entities (Junction, Blocked Passage, Toll Point) with which is associated a series of descriptive attributes such as, among others: First House Number, Last House Number, Street Name Body, Place Name, Functional Road Class, Pavement Status, Number Of Lanes, Structure Type, Route Number, Route Name, Exit Number. The development of the NRN was realized by means of individual meetings and national workshops with interested data providers from the federal, provincial, territorial and municipal governments. In 2005, the NRN edition 2.0 was alternately adopted by members from the Inter-Agency Committee on Geomatics (IACG) and the Canadian Council on Geomatics (CCOG). The NRN content largely conforms to the ISO 14825 from ISO/TC 204.

The Zero Emission Vehicle Infrastructure Program (ZEVIP) aims at addressing the lack of charging infrastructure in Canada, one of the key barriers to zero emission vehicle adoption by increasing the availability of localized charging where Canadians live, work, travel and play. This EV Infrastructure Planning Map identifies priority areas and accounts for available charging infrastructure and expected charging needs with a focus on public corridor charging. To optimize web performance when using the map, it is recommended you zoom into the areas you are exploring. Priority areas are identified on a scale ranging from lowest to highest priority. Public Corridor Charging includes the EV charging needs of those travelling longer distances on highways and major roads. The objective is to ensure that EV drivers can travel over the majority of Canada’s road network connecting most communities in an EV without being limited on vehicle range. The map identifies priority locations within 1.6 kilometres of major roads based on criteria such as, traffic, expected EV adoption and distance between chargers