For almost a year, our team has been working on a toolkit to help readers navigate the nuanced, complicated conversations that surround algorithms and the data that they consume. The project came about after a small workshop held in the city of San Francisco in February of 2018. The conversation around data science and transparency for laypeople brought us to the idea that a new resource was needed to bridge the gap between data scientists and non-data scientists.
Many of the AV companies developing this technology are developing small shuttles, neighborhood circulators, and other types of micro-transit. These have the ability to travel on neighborhood streets, move multiple passengers and truly transform mobility, especially in sprawling urban areas such as Phoenix. One way to explore these benefits is to build partnerships with AV companies – both those developing micro-transit and those developing more traditional ride-share services.
While 2018 was filled with a number of successful smart city deployments, it also revealed significant challenges that will only intensify in years to come. The most pressing challenge to be addressed throughout 2019 is earning the public’s trust in smart city projects. Towards the end of 2018, we saw major data privacy concerns emerge from citizens. From these concerns a heated, but healthy discourse between citizens, local governments, and private sector companies rose to mainstream media prominence. Citizens’ expectations of privacy have begun to challenge the murky data privacy policies described by many in the private sector. 2019 will be the year of the smart city for the citizen.
AVs can move more people in fewer vehicles on less congested streets compared to private cars. This means that some London streets could be made narrower and spare street space can be reallocated for other uses including bus lanes, cycling lanes, or expanded pavements. Street space can also be released for vegetation, allowing for cleaner streets and better storm water management.
Blockchain has the potential to create countless smart networks and grids, altering how we do everything from vote and build credit to receive energy. In many ways, it could be a crucial component of what is needed to circumvent outdated systems and build long-lasting solutions for cities.
Take, for instance, electricity. With the help of blockchain, we can turn microgrids into a reality on a macro scale, enabling communities to more easily embrace solar power and other more sustainable sources, which in turn will result in fewer emissions and lower healthcare costs and rates of disease.
For all the promise of electric vehicles, we can’t lose sight of one simple fact: The environmental burden of transportation in the United States isn’t a vehicle problem, it’s a problem with our transportation system as a whole. Simply swapping out internal combustion engines for electric motors won’t be enough to meet that challenge.
Lighting infrastructure is a perfect example of futureproofing. As cities are swapping out traditional high-pressure sodium street lights with energy-efficient LEDs and smart nodes that can remotely monitor and control the lights, don’t just be thinking about a smart lighting solution. Think about the position those streetlights are in to support so much more, like intersection safety analytics, parking optimization, and gunshot detection.
The idea of multi-channel civic engagement and the role of the grassroots community marketer is being implemented by forward-thinking smart city leaders who understand the importance—and economic benefits—of giving their constituents a voice. More investments are being made into digital systems that reach and engage the public.
From an energy type standpoint, a city’s electric utility can make a big difference regarding which actions cities should undertake. For instance, a city in the service territory of an electric utility with ambitious plans to decarbonize its generation mix may want to focus greater attention on future emissions scenarios versus current emissions when making decisions on priorities. This would mean focusing actions on transportation, space heating, and industrial processes, since those would likely be greater contributors to emissions (vs. electricity) in such a future scenario.
Because curated data have definitely become a currency, private data – characterized as establishing relations or transactions between persons/actors – gives the power back to the user when it is retrieved through a self-data mechanism.
Cities and private parking owners can use parking analytics to create policies and rates, adapting them to changing conditions or shifts in demand. Parking analytics help managers better understand pricing and maximize revenue in different parts of the city. This can also be adjusted for special events or if new businesses move into a location.