In parking, this is the application of strategies and policies to reduce travel demand, most significantly, that of SOV (single-occupancy vehicles), or to redistribute this demand in space or in time.
Managing parking demand can be a cost-effective alternative to increasing capacity. A conscientious demand management approach to parking has, in our opinion, the greatest potential of all transport network elements to deliver better environmental outcomes, improved public health, stronger communities, and more prosperous and livable cities.
In some ways, recent efforts to address the impact of parking on climate change to date have been largely focused on technology. The core philosophy at Park Green, however, is that the needed global paradigm shift is one of a focus on consumption of parking.
Imagine an event arena developer’s business plan was to price every seat in the house the same, in other words, if the venue ticket price was $6 that night, a box-seat would cost the consumer $6, just as would the poorest seat in the nose-bleed section. The other part of his plan was to do this on a first-come, first-served basis. Imagine the chaos that would ensue for certain consumers to grab the box seats and all the associated amenities!
To price each seat (commodity) in an arena the same is hardly a solid business model and yet that is how parking spaces have always been consumed. Planners, government and people must stop viewing parking spaces as a utility, but rather value individual spaces as a commodity, just as almost all other things we consume. Technology today makes this possible so now all that is needed a change in focus from marketing blocks of spaces to marketing individual spaces. The environmental, social and financial re-investment awards will be staggering. Contact Park Green for a plan on how to revolutionize your parking system.
- – Conventionally based T&PDM (Transportation & Parking Demand Management) studies and strategies
- – Consumption based T&PDM studies and strategies
- – Consumption based pricing models, systems and software