In mobility, we believe that business resiliency mostly depends on the sector’s ability to withstand, manage and adapt to disruptions?
Having resilient operations means being agile when responding to events and strategically thinking about assets and infrastructure planning in a way that encompasses accessibility, inclusivity and equitability. Cities and towns are made up of a diverse group of people who use different modes of transportation.
In addition to cars, planes, trains and boats, we need to incorporate low or zero carbon methods of travel — using electric scooters or bikes — as well as human-powered modes of transportation such as walking and using wheelchairs. Technical advances meanwhile mean robotics and drones will soon play a greater role within transportation — even space travel must be considered.
Tracking and defining progress
However, there is generally limited data available to analyze, and it’s also hard to use the same analysis on another place that does not share the same characteristics as the one previously examined. For example, an analysis of a large metropolitan area will not be easily applicable to rural communities and small cities. So how do we define mobility resilience if the mobility sector also faces the same problem of inadequate data?
At the same time, defining progress is difficult since there are several things that can contribute to a journey’s success or failure. How, for example, do we define this success beyond things like speed and on-time departure/arrival, and is business continuity on its own an effective measure of resilience?
Commonly, transportation professionals have been either simplifying resilience measurement by using traditional performance metrics such as on-time departure or, in contrast, more complex real-time, dynamic digital representations such as digital twins. But taking a simplified approach fails to capture the complexity of function while complex digital twins are not accessible to many businesses around the world.
However, there is generally limited data available to analyze, and it’s also hard to use the same analysis on another place that does not share the same characteristics as the one previously examined. For example, an analysis of a large metropolitan area will not be easily applicable to rural communities and small cities. So how do we define mobility resilience if the mobility sector also faces the same problem of inadequate data?
At the same time, defining progress is difficult since there are several things that can contribute to a journey’s success or failure. How, for example, do we define this success beyond things like speed and on-time departure/arrival, and is business continuity on its own an effective measure of resilience?
However, there is generally limited data available to analyze, and it’s also hard to use the same analysis on another place that does not share the same characteristics as the one previously examined. For example, an analysis of a large metropolitan area will not be easily applicable to rural communities and small cities. So how do we define mobility resilience if the mobility sector also faces the same problem of inadequate data?
At the same time, defining progress is difficult since there are several things that can contribute to a journey’s success or failure. How, for example, do we define this success beyond things like speed and on-time departure/arrival, and is business continuity on its own an effective measure of resilience?
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