Walking & Biking: High tech understanding of low tech solutions
Sometimes smart cities have simple solutions at their disposal – if they just view their data slightly differently. Walk Score recently released their updated rankings of bikeable, walkable, and transit-oriented cities:
- 10 most bikeable large U.S. & Canadian cities (>200,000 people). The data on bike lanes, hilliness, and connectivity are all easily shown with elegant “heat maps”. An interesting inclusion in their scoring methodology is a “bicycle mode share” metric, which tries to capture the social network effect of biking. Rather than relying only on data about the built environment, the metric also attempts to measure actual cycling activity, often showing that there are “hot spots” in certain neighborhoods of cities aside from where the bike lane networks are.
- 50 most walkable largest U.S cities, as well as Canada and Australia. This ranking relies on an algorithm that gives higher weighting to proximity to amenities within .25 miles and zero weighting to amenities further than one mile. This metric is used by the real estate industry in promoting walkable, livable neighborhoods.
- 25 top-ranked public transit systems in the largest U.S. cities, measured based on “usefulness” of routes nearby, such as distance to the nearest stop, frequency, and type. Unlike the bike score, they don’t take into consideration riders’ satisfaction or effectiveness of the transit.
It’s hard to argue with Walk Score’s main conclusions on the benefits of walkability: residents average 6-10 pounds lighter in a walkable neighborhood, property values can be $600-$3,000 higher with each Walk Score point (and reduce the second largest household expense, your car), as well as the study that for every 10 minutes spent in a daily car commute, time spent in community activities falls by 10%. You can now even search hotels by proximity and travel time to the locations you’re planning on visiting.
Walk Score data is even being used now in urban planning using such metrics as average block length and intersection density. This is probably an improvement considering that the Project for Public Spaces calculated the Walkscore for every state's Department of Transportation headquarters, and came up with an average 67 on a scale of 0-100. See the PDF list here.
Another clever use of data is the City of Hoboken, NJ, announcing a combined bike rental-and-sharing program that will greatly reduce costs of operating the system. Social Bicycles puts a lock and GPS on the bike so it can be locked to traditional bike racks and while serving to track where bikes travel at what time, thus gathering large amounts of data data to help guide investments in improving effectiveness and safety of the system. Now they just need an integrated payment system like the transit pass proposed in Sao Paulo’s 150,000 bike-sharing system.
Leave your comment below, or reply to others.
Read more from the Meeting of the Minds Blog
Spotlighting innovations in urban sustainability and connected technology
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.
While it may sound like a simple process, there are challenges to consider when it comes to the effectiveness of parking sensors, such as their location. For example, in-ground sensors, a technology used by some cities in the past, presented a myriad of problems, including ineffective readings that can result in unreliable data and lost revenue.