What's the intelligent infrastructure strategy, and who's in?

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The intelligent infrastructure approach with the combination of sensors and systems for more efficient infrastructure management in our urban areas requires the alignment of quite a few technologies as well as rethinking how we plan and manage. This new approach is being touted by quite a few companies and is increasingly becoming part of policy discussions. The intelligent infrastructure vision is moving beyond a business strategy and into reality, with a prominent example being the City 2.0 platform and TED Prize.

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How Important Are Land Boundaries?

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Boundaries around the globe between countries and other legal entities are constantly in a state of change. Contrary to the widely held view that most countries are well surveyed and their boundary and territory is established – that is not the case. Debates, conflicts and tensions continue to arise where boundaries are involved. Some of these concerns arise due to historical factors, others as a result of wars and even shifting lands. How important are land boundaries?

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What value does a city gain by adopting a sensored infrastructure approach?

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We’ve long used sensors to track performance of networks, but the smart city that is comprised of a network of networks that inform and report on infrastructure is a relatively new concept that is taking hold. We’re seeing whole cities built around the concept of constant monitoring and feedback, with central control for increased efficiency. With this next wave of system of system integration, there may well rise a distinct “have” and “have not” dichotomy.

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What Is Spatial Quality and Why Is It Important To The Design Process?

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Spatial quality is about strategies, policies, design and effective creation and use of spaces. It applies to buildings, landscapes and infrastructure. While spatial data quality is also important, it is not spatial quality, but can be considered an important aspect of good spatial quality. Effective design will have higher spatial quality as functioning increases, use rises and a variety of needs for people and organisations are met.

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What will promote model-based digital realities from nice-to-have to need-to-have?

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This may be a perennial question, as certainly the rise and promise of universal 3D geovisualization keeps coming in waves that are similar to the promise of location-based services. With each wave, we all ride the crest, and perhaps a few move toward the ongoing capture and visualization of our geographies beyond just a project scope. It's an evolution that is plagued by fits and starts, with declarations of breakout years continuing to fall a bit short of reality.

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