Modelling Mobility Risks
Committed To Securing Livelihoods
Modelling Transportation Logistic Risks
Weather conditions are some of the most significant variables that effect the ability and time set to deliver. Temperature can vary within just a few hundred kilometers, transitioning from sunny weather to hurricane-, tornado- or blizzard-like conditions. Road, flight, railroad or shipping conditions can become treacherous during adverse weather conditions and cause unexpected cancellation and delays.
While its impossible to predict weather in detail, incorporating mobility buffers into disaster preparedness for various catastrophes will help reduce risk. Apart from the weather there are other perils that contribute to transportation risks, such deteriorat(ed)/(ing) Infrastructure, cyber attacks, regulatory oversight (or lack of it) and driver shortages just to some of the primary risks.
As the automotive industry comes under increasing pressure to electrify and build smarter (autonomous), more connected mobility solutions,
driving new mobility trends, significantly broadening opportunities and technological innovation. But increase digital and online connectivity also increases the risk of cyber attacks.
Additionally, fail(ing)/(-ed) or outdated infrastructure, due to inundation, snow cover, ice , etc. or road destruction , as a result of potholes or cracks, construction, and missing or incorrect signs, is increasingly perilous for drivers, vehicles, products, businesses and consumers or even other road users.
Many organizations, from government agencies to businesses, face similar challenges in the transportation industry, but every company is different. That is why Infinite Observations ZineQx has a fully customizable Mobility Model that can be integrated with our Cat Models to simulate, assess and manage the potential losses that are specific to your industry.
Transportation Logistic Catastrophe Models
Modelled Regions :
Click a region to see countries or islands where courage is available.
Central America & Caribbean
Asia & Pacific
The Greater Antilles
Turks and Caicos Islands
Lesser Antilles (Leeward Islands)
Saint Martin (Fr.)
Sint Maarten (Neth.)
Sint Eustatius (Neth.)
La Désirade (Fr.)
Les Saintes archipelago (Fr.)
St. Thomas (US VI)
St. John (US VI)
St. Croix (US VI)
Water Island (US VI)
Tortola (UK VI)
Virgin Gorda (UK VI)
Anegada (UK VI)
Jost Van Dyke (UK VI)
Los Roques Archipelago
Lesser Antilles (Windward Islands)
Asia & Pacific
Hong Kong (China)
New Caledonia (Fr)
Papua New Guinea
Northern Mariana Islands (US)
Wake Island (US)
American Samoa (US)
Cook Islands (NZ)
Easter Island (Ch)
French Polynesia (Fr)
Norfolk Island (A)
Wallis and Futuna (Fr)
Marine Vulnerability Risk Exposure Modelling
Data Driven Mobility Models
Infinite Observations leverages powerful data visualization and prediction models to make the best sense of connected traffic and traffic network data. Connected vehicle data represents diverse data attributes that provide many parameters such as location, speed, engine status, road sign data, hazard data, road elevation, surface type and more. Before, during and in the aftermath of a catastrophic event our models can help national, regional and local authorities to plan safety and evacuation strategies, humanitarian aid logistics, etc. After a hurricane urban and rural areas can be inundated and traffic routes become impassable, utility and communication cables, lines can be downed. After severe thunderstorms damages vehicles litter large swats of land. These objects can be geolocated using our mobility models and clean-up work can be easily planned. These are just a few examples how our models can be used. Aided by our mobile models clients are able to make prediction regarding routes, located impacted utility and communication infrastructure, etc.
Quantifying Risks & Losses
Logistical operations are crucial to be able accurately assess and manage losses in the aftermath of a catastrophe. Infinite Observations mobility model use algorithms based on scientific research, helps to improve performance over previous models. It can be used both at a macroscopic (collective behavior of traffic) and microscopic (individual vehicles) level. In the event of, for example, an earthquake in a location where a large traffic network has been impacted our macroscopic model can be used to predict traffic behavior, identify problems and help improve the situation. The models generate vulnerability curves for traffic networks, utility and communication infrastructures. Base on those curves, which are influenced by many characteristics of the traffic network, Infinite Observations develops damage functions for events or combinations of those events. Losses are determined from the damage functions. The models can be validated in its entirety or model components can be validate independently against information and research from industry sources as well as historic events.
Transport Industry Sectors
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