transportation-network company

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pages: 265 words: 69,310

What's Yours Is Mine: Against the Sharing Economy by Tom Slee

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4chan, Airbnb, Amazon Mechanical Turk, asset-backed security, barriers to entry, Berlin Wall, big-box store, bitcoin, blockchain, citizen journalism, collaborative consumption, congestion charging, Credit Default Swap, crowdsourcing, data acquisition, David Brooks, don't be evil, gig economy, Hacker Ethic, income inequality, informal economy, invisible hand, Jacob Appelbaum, Jane Jacobs, Jeff Bezos, Khan Academy, Kibera, Kickstarter, license plate recognition, Lyft, Marc Andreessen, Mark Zuckerberg, move fast and break things, move fast and break things, natural language processing, Netflix Prize, Network effects, new economy, Occupy movement, openstreetmap, Paul Graham, peer-to-peer, peer-to-peer lending, Peter Thiel, pre–internet, principal–agent problem, profit motive, race to the bottom, Ray Kurzweil, recommendation engine, rent control, ride hailing / ride sharing, sharing economy, Silicon Valley, Snapchat, software is eating the world, South of Market, San Francisco, TaskRabbit, The Nature of the Firm, Thomas L Friedman, transportation-network company, Uber and Lyft, Uber for X, ultimatum game, urban planning, WikiLeaks, winner-take-all economy, Y Combinator, Zipcar

Randall, and Bryce Glass. Building Web Reputation Systems. O’Reilly Media, 2010. Fenske, Sarah. “After Our Uber Exposé, Their PR Team Tried to Dupe Us.” L.A. Weekly, October 29, 2014. http://www.laweekly.com/news/after-our-uber-expos-their-pr-team-tried-to-dupe-us-5177453. Ferguson, Jordan. “Recent Transportation Network Company Ordinances.” Best Best and Krieger LLP, October 30, 2014. http://www.bbknowledge.com/california-public-utilities-commission-cpuc/recent-transportation-network-company-ordinances-in-austin-houston-and-washington-d-c-display-variety-of-regulatory-approaches/. Fernholtz, Tim. “Is Uber Costing New Yorkers $1.2 Billion Worth of Lost Time?” Quartz, July 10, 2015. http://qz.com/449600/uber-is-slowing-down-new-york-city-but-slowing-down-uber-wont-fix-the-problem/. Fink, Erica.

8 Schor, “Debating the Sharing Economy.” 9 Gannes, “Zimride Turns Regular Cars Into Taxis With New Ride-Sharing App, Lyft.” 10 Gustin, “Lyft-Off: Car-Sharing Start-Up Raises $60 Million Led by Andreessen Horowitz.” 11 Ibid. 12 Gannes, “Zimride Turns Regular Cars Into Taxis With New Ride-­Sharing App, Lyft.” 13 Gannes, “Lyft Sells Zimride Carpool Service to Rental-Car Giant Enterprise.” 14 Gannes, “Competition Brings Lyft, Sidecar and Uber Closer to Cloning Each Other.” 15 Lawler, “A Look Inside Lyft’s Financial Forecast For 2015 And Beyond.” 16 D’Onfro, “Uber CEO Founded The Company Because He Wanted To Be A ‘Baller In San Francisco.’” 17 Meelen and Frenken, “Stop Saying Uber Is Part Of The Sharing ­Economy.” 18 Scola, “The Black Car Company That People Love to Hate.” 19 Kalanick, “Uber Policy White Paper 1.0.” 20 Hall and Krueger, “An Analysis of the Labor Market for Uber’s Driver-Partners in the United States.” 21 Geron, “California Becomes First State To Regulate Ridesharing Services Lyft, Sidecar, UberX.” 22 Ferguson, “Recent Transportation Network Company Ordinances.” 23 California Public Utilities Commission, “Transportation Network Companies.” 24 Hirsch, “Taxi Trouble.” 25 Watters, “The MOOC Revolution That Wasn’t.” 26 Trafford, “Is John Tory Facing an Uber Battle at City Hall?” 27 Paris, “Electric ‘Boris Cars’ Are Coming to London – How Do They Work in Paris?” 28 Biddle, “Here Are the Internal Documents That Prove Uber Is a Money Loser.” 29 Kalanick and Swisher, “Uber CEO: We’re in a Political Battle with an ‘Assh*le.’” 30 Kalanick, “A Leader for the Uber Campaign.” 31 Dempsey, “Taxi Industry Regulation, Deregulation, and Reregulation.” 32 Rosen, “The Knowledge, London’s Legendary Taxi-Driver Test, Puts Up a Fight in the Age of GPS.” 33 Leisy, “TAXICAB DEREGULATION AND REREGULATION IN SEATTLE: LESSONS LEARNED.” 34 Sadlak, “Taxicab Deregulation.” 35 Dubinsky, Gollom, and Rieti, “Cab Driving Riskier than Police Work.” 36 Dale, “Council Votes to Overhaul Toronto Taxi Industry.” 37 Gans, “Is Uber Really in a Fight to the Death?”

When Airbnb ran into business permit problems in Grand Rapids, Michigan or when a neighborhood council threatened to ban Airbnb in Silver Lake, California, it was Peers that rallied Airbnb hosts to lobby councilors on the company’s behalf. When Seattle City Council decided that Lyft and Uber were breaking taxi regulations, it was Peers that mobilized supporters to sign petitions. And these efforts were not in vain: they succeeded in getting councils to back down, and in one of the organization’s most important victories they got the state of California to recognize a new category of transit organization called “Transportation Network Companies,” which created a framework within which Lyft, Uber, Sidecar, and others could operate legally, and which has been imitated in several other states since. In the summer of 2014, Peers listed 75 partner organizations on its web site, and the list gives a snapshot of the Sharing Economy landscape as it hit the mainstream. Spanish company Gudog is “a platform that brings together dog owners and trustworthy dog sitters”; with BoatBound you can “find the perfect boat with or without a captain”; if you prefer eating to boating, you can go to Cookening, a web site where “your host cooks and shares a meal with you, at his or her place.”


pages: 257 words: 64,285

The End of Traffic and the Future of Transport: Second Edition by David Levinson, Kevin Krizek

2013 Report for America's Infrastructure - American Society of Civil Engineers - 19 March 2013, 3D printing, American Society of Civil Engineers: Report Card, autonomous vehicles, barriers to entry, Bay Area Rapid Transit, big-box store, Chris Urmson, collaborative consumption, commoditize, crowdsourcing, DARPA: Urban Challenge, dematerialisation, Elon Musk, en.wikipedia.org, Google Hangouts, Induced demand, intermodal, invention of the printing press, jitney, John Markoff, labor-force participation, lifelogging, Lyft, means of production, megacity, Menlo Park, Network effects, Occam's razor, oil shock, place-making, Ray Kurzweil, rent-seeking, ride hailing / ride sharing, Robert Gordon, self-driving car, sharing economy, Silicon Valley, Skype, smart cities, technological singularity, Tesla Model S, the built environment, Thomas Kuhn: the structure of scientific revolutions, transaction costs, transportation-network company, Uber and Lyft, Uber for X, urban renewal, women in the workforce, working-age population, Yom Kippur War, zero-sum game, Zipcar

During the long transition, those who cannot afford such cars may come to be vilified as the cause of crashes. —— While people, animals, weather, larger cargo needs, and so on are still potential confounding factors, autonomous vehicles interacting with only autonomous vehicles should be much easier to design and manage than autonomous vehicles in mixed traffic. The next chapter considers how Transport Network Companies such as Lyft and Uber compete with taxis. But with their added labor, such services are too expensive for most people for frequent mobility.173 In contrast, autonomous vehicles total costs will be significantly lower, making it feasible that larger numbers of people replace their personal car (which is parked 23 out of 24 hours) with one that comes on-demand. Discussion: Thought Experiment: "Ze Car, Ze Car."

The car-shedding question remains: how many households will surrender a second (or first) car for the occasional trip?185 Is the market thick enough that the likelihood of finding a car nearby is high enough that it is reliable enough to use? With Car2Go there is no guarantee there will be a car within walking distance. Efforts to rebalance the fleet can be costly. This is where other services (taxi, transport network companies, transit) come in as backups. This is also where autonomous vehicles can be important. Nevertheless, people prefer not to think about every transaction. If they are charged per use, they use less. But they are less happy and more determined to get a car of their own to avoid transaction costs. Cars of course have costs of their own, but they are less frequent and less obvious. If the charges are invisible though, people may not think about them.

In contrast with traditional taxis, the passenger sits shotgun (in the front row passenger seat), and is expected to have a conversation with the driver (which happens in some taxis, though not always). Anecdotally, it appears people who drive for Lyft are more likely to be (though not universally) American citizens or long-term residents, and since they own their own car, less likely to be poor, recently landed immigrants who comprise the taxi drivers in many cities. Lyft is in many ways simply an app with a back-end (rather, 'cloud-based') dispatch service. They claim to be a "transport network company whose mobile-phone application facilitates peer-to-peer ridesharing by enabling passengers who need a ride to request one from drivers who have a car." They insist the drivers are independent (as are the riders). The difference between this and a taxi dispatcher is thin. A taxi is "a car licensed to transport passengers in return for payment of a fare, usually fitted with a taximeter."190 So for taxicabs, the arrangement between the rider and the passenger is mediated by the government (which licenses the vehicles).


pages: 472 words: 117,093

Machine, Platform, Crowd: Harnessing Our Digital Future by Andrew McAfee, Erik Brynjolfsson

3D printing, additive manufacturing, AI winter, Airbnb, airline deregulation, airport security, Albert Einstein, Amazon Mechanical Turk, Amazon Web Services, artificial general intelligence, augmented reality, autonomous vehicles, backtesting, barriers to entry, bitcoin, blockchain, book scanning, British Empire, business process, carbon footprint, Cass Sunstein, centralized clearinghouse, Chris Urmson, cloud computing, cognitive bias, commoditize, complexity theory, computer age, creative destruction, crony capitalism, crowdsourcing, cryptocurrency, Daniel Kahneman / Amos Tversky, Dean Kamen, discovery of DNA, disintermediation, distributed ledger, double helix, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, ethereum blockchain, everywhere but in the productivity statistics, family office, fiat currency, financial innovation, George Akerlof, global supply chain, Hernando de Soto, hive mind, information asymmetry, Internet of things, inventory management, iterative process, Jean Tirole, Jeff Bezos, jimmy wales, John Markoff, joint-stock company, Joseph Schumpeter, Kickstarter, law of one price, Lyft, Machine translation of "The spirit is willing, but the flesh is weak." to Russian and back, Marc Andreessen, Mark Zuckerberg, meta analysis, meta-analysis, moral hazard, multi-sided market, Myron Scholes, natural language processing, Network effects, new economy, Norbert Wiener, Oculus Rift, PageRank, pattern recognition, peer-to-peer lending, performance metric, Plutocrats, plutocrats, precision agriculture, prediction markets, pre–internet, price stability, principal–agent problem, Ray Kurzweil, Renaissance Technologies, Richard Stallman, ride hailing / ride sharing, risk tolerance, Ronald Coase, Satoshi Nakamoto, Second Machine Age, self-driving car, sharing economy, Silicon Valley, Skype, slashdot, smart contracts, Snapchat, speech recognition, statistical model, Steve Ballmer, Steve Jobs, Steven Pinker, supply-chain management, TaskRabbit, Ted Nelson, The Market for Lemons, The Nature of the Firm, Thomas L Friedman, too big to fail, transaction costs, transportation-network company, traveling salesman, two-sided market, Uber and Lyft, Uber for X, Watson beat the top human players on Jeopardy!, winner-take-all economy, yield management, zero day

., 305 Spotify, 146–48 stacks, 295–96, 298 Stallman, Richard, 243 standard partnership creativity and, 119, 120 defined, 37 demand for routine skills and, 321 HiPPO and, 45, 59 inversion of, 56–60 modified by data-driven decision making, 46–60 structure of, 31 Starbucks, 185 statistical pattern recognition, 69, 72–74, 81–82, 84 statistical prediction, 41 status quo bias, 21 steampunk, 273 Sterling, Bruce, 295, 298 S3 (Amazon Web Service), 143 Stites-Clayton, Evan, 263 STR, 221 “stranger-danger” bias, 210 streaming services, 146–48 Street, Sam, 184 Street Bump, 162–63 Stripe, 171–74, 205 structured interviews, 57 students, gifted, 40 Sturdivant, Jeremy, 286 subscription services, 147–48 suitcase words, 113 Suleyman, Mustafa, 78 “superforecasters,” 60–61 supervised learning, 76 supply and demand; See also demand; demand curves; supply curves O2O platforms for matching, 193 platforms and, 153–57 and revenue management, 47 supply curves, 154–56 Supreme Court, US, 40–41 surge pricing, 55 Svirsky, Dan, 209n Sweeney, Latanya, 51–52 Swift, Taylor, 148 switching costs, 216–17, 219 Sydney, Australia, hostage incident (2014), 55 symbolic artificial intelligence, 69–72 introduction of, 69–70 reasons for failure of, 70–72 synthetic biology, 271–72 systems integration, 142 System 1/System 2 reasoning, 35–46 and confirmation bias, 57 defined, 35–36 and second-machine-age companies, 325 undetected biases and, 42–45 weaknesses of, 38–41 Szabo, Nick, 292, 294–95 Tabarrok, Alex, 208–9 Tapscott, Alex, 298 Tapscott, Don, 298 Tarantino, Quentin, 136n TaskRabbit, 261, 265 taxi companies, Uber’s effect on, 201 TCE (transaction cost economics), 312–16 TechCrunch, 296 technology (generally) effect on employment and wages, 332–33 effect on workplace, 334 as tool, 330–31 Teespring, 263–64 Teh, Yee-Whye, 76 telephones, 129–30, 134–35 tenure predictions, 39 Tesla (self-driving automobile), 81–82, 97 Tetlock, Philip, 59 text messages, 140–41 Thank You for Being Late (Friedman), 135 theories, scientific, 116–17 theory of the firm, See TCE (transaction cost economics) Thierer, Adam, 272 “thin” companies, 9 Thingiverse, 274 Thinking, Fast and Slow (Kahneman), 36, 43 Thomas, Rob, 262 Thomke, Stefan, 62–63 3D printing, 105–7, 112–13, 273, 308 Thrun, Sebastian, 324–25 TNCs (transportation network companies), 208 TØ.com, 290 Tomasello, Michael, 322 Topcoder, 254, 260–61 Torvalds, Linus, 240–45 tourists, lodging needs of, 222–23 Tower Records, 131, 134 trade, international, 291 trading, investment, 266–70, 290 Transfix, 188, 197, 205 transparency, 325 transportation network companies (TNCs), 208; See also specific companies, e.g.: Uber Transportation Security Administration (TSA), 89 Tresset, Patrick, 117 trucking industry, 188 T-shirts, 264 tumors, 3D modeling of, 106 Turing, Alan, 66, 67n Tuscon Citizen, 132 TV advertising, 48–51 Tversky, Amos, 35 Twitter, 234 two-sided networks credit cards, 214–16 Postmates, 184–85 pricing in, 213–16, 220 pricing power of, 210–11 switching costs, 216–17 Uber, 200, 201, 218–19 two-sided platforms, 174, 179–80 Two Sigma, 267 Uber driver background checks, 208 future of, 319–20 information asymmetry management, 207–8 lack of assets owned by, 6–7 as means of leveraging assets, 196–97 network effects, 193, 218 as O2O platform, 186 origins, 200–202 and Paris terrorist attack, 55 pricing decisions, 212–15, 218–19 rapid growth of, 9 regulation of, 201–2 reputational systems, 209 routing problems, 194 separate apps for drivers and riders, 214 and Sydney hostage incident, 54–55 value proposition as compared to Airbnb, 222 UberPool, 9, 201, 212 UberPop, 202 UberX, 200–201, 208, 212, 213n Udacity, 324–25 unbundling, 145–48, 313–14 unit drive, 20, 23 Universal Music Group, 134 University of Louisville, 11 University of Nicosia, 289 unlimited service ClassPass Unlimited, 178–79, 184 Postmates Plus Unlimited, 185 Rent the Runway, 187–88 unsupervised learning, 76, 80–81 Upwork, 189, 261 Urmson, Chris, 82 used car market, information asymmetry and, 207 Usenet, 229, 271 user experience/interface as platforms’ best weapon, 211 and successful platforms, 169–74 users, as code developers, 242 “Uses of Knowledge in Society, The” (Hayek), 235–37 utilization rate, O2O platforms, 196–97 Van Alstyne, Marshall, 148 Van As, Richard, 272–74 Vancouver, Canada, Uber prohibition in, 202 venture capital, DAO vs., 302 verifiability, 248 verifiable/reversible contributions, 242–43 Verizon, 96, 232n Veronica Mars (movie), 262 Veronica Mars (TV show), 261–62 Viant, 171 video games, AI research and, 75 videos, crowd-generated, 231–32 Viper, 163 virtualization, 89–93; See also robotics vision, Cambrian Explosion and, 95 “Voice of America” (Wright), 229–30 von Hippel, Eric, 265 wage declines, 332 Wagner, Dan, 48–50 Waldfogel, Joel, 144 Wales, Jimmy, 234, 246–48 Walgreens, 185 Walmart, 7, 47 Wanamaker, John, 8–9 warehousing, 102–3, 188 Warner Brothers, 262 Warner Music Group, 134 Washington Post, 132 Washio, 191n waste reduction, 197 Watson (IBM supercomputer) health claim processing, 83 Jeopardy!

Unless this inherent information asymmetry was overcome, the market for person-to-person rides would never take off. But by March of 2016, Uber was handling 50 million rides per month in the United States. The great majority of Uber’s ride suppliers were not professional chauffeurs; they were simply people who wanted to make money with their labor and their cars. So how did this huge market overcome severe information asymmetries? In 2013, California passed regulations mandating that transportation network companies (TNCs) such as Uber and Lyft conduct criminal background checks on their drivers. These checks certainly provided some reassurance, but they were not the whole story. After all, UberX and its competitor Lyft both grew rapidly before background checks were in place, and by August 2016, BlaBlaCar still did not require them for its drivers. Instead, these companies used their platforms’ user interfaces to overcome the information asymmetries that plagued their markets.


pages: 375 words: 88,306

The Sharing Economy: The End of Employment and the Rise of Crowd-Based Capitalism by Arun Sundararajan

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3D printing, additive manufacturing, Airbnb, Amazon Mechanical Turk, autonomous vehicles, barriers to entry, basic income, bitcoin, blockchain, Burning Man, call centre, collaborative consumption, collaborative economy, collective bargaining, commoditize, corporate social responsibility, cryptocurrency, David Graeber, distributed ledger, employer provided health coverage, Erik Brynjolfsson, ethereum blockchain, Frank Levy and Richard Murnane: The New Division of Labor, future of work, George Akerlof, gig economy, housing crisis, Howard Rheingold, information asymmetry, Internet of things, inventory management, invisible hand, job automation, job-hopping, Kickstarter, knowledge worker, Kula ring, Lyft, Marc Andreessen, megacity, minimum wage unemployment, moral hazard, moral panic, Network effects, new economy, Oculus Rift, pattern recognition, peer-to-peer, peer-to-peer lending, peer-to-peer model, peer-to-peer rental, profit motive, purchasing power parity, race to the bottom, recommendation engine, regulatory arbitrage, rent control, Richard Florida, ride hailing / ride sharing, Robert Gordon, Ronald Coase, Second Machine Age, self-driving car, sharing economy, Silicon Valley, smart contracts, Snapchat, social software, supply-chain management, TaskRabbit, The Nature of the Firm, total factor productivity, transaction costs, transportation-network company, two-sided market, Uber and Lyft, Uber for X, universal basic income, Zipcar

First, an SRO must establish credibility early on through its performance. Second, self-regulatory actors must demonstrate strong enforcement capabilities. Third, SROs must be perceived as legitimate and independent. And finally, an SRO must take advantage of participants’ reputational concerns and social capital.26 The state of California has pioneered a self-regulatory approach for one sector of the sharing economy, through the creation of Transportation Network Companies (TNCs) in 2013. As described in detail by Catherine Sandoval, the commissioner of the California Public Utilities Commission (CPUC), at the 2015 Federal Trade Commission workshop about the sharing economy, this represents an interesting partnership between government and sharing economy platforms. Here’s how it works. The CPUC has defined a set of standards that drivers of smartphone-based point-to-point urban transportation vehicles (taxis) need to conform to.

background screening, 50–51 contractor classification and, 160, 161 new social safety net and, 191 platform, 43–44 platform independence, 194 pricing, supply, and merchandizing, 194 TechCrunch, 11 Telang, Rahul, 112 Teran, Dan, 160 “There’s an Uber for Everything” (Fowler), 11 Thierer, Adam, 146 Thin sharing economies, 34 Threadless, 76 ThreeBirdNest, 107, 125, 177 3-D printing, 57–58 Thumbtack, 3, 6, 77, 164 Tiger Global Management, 25 TimeRepublik, 35 TimesFree, 43 Timms, Henry, 23, 136 Tincq, Benjamin, 23–25, 199 Tool libraries, 15 Total factor productivity (TFP), 116–117 Trade School, 43, 82 Traity, 64–65, 98 Transparency, mandated, 157 Transportation Network Companies (TNCs), 153 Trust, 4, 6, 12, 28, 35, 39, 47–50 brand-based, 144–146 history of (in world trade), 142–143 digitization of, 60–65 reputation and, 97–98 Tujia, 6, 121 Tumblr, 85 Turkle, Sherry, 45 Turo, 3, 80, 107, 177, 190 Tusk, Bradley, 136 Tuzhilin, Alexander, 112 Twitter, 29, 85 Uber, 2, 3, 6, 10, 19, 48, 154, 161, 186, 197, 203 class-action lawsuit and, 160 consumer behavior changed by “data Darwinism” and, 200–201 data science and, 157, 200–201 driver classifications, 159, 160, 176, 182, 183 driver protests, 200 entrepreneurial nature of, 192, 194 financing of, 25 gift economy aspects, 35 impact on traditional taxis, 122–123 local network effects, 119–120 as microbusiness, 77, 113 new social safety net and, 191 platform, 84 platform independence, 194 pricing, supply, and merchandizing, 194, 195 regulatory challenges, 135 social capital and, 62, 64 trust and, 145 UberPool, 66 “Uber Alles” (Surowecki), 19 Ulbricht, Ross, 86 Union Square Ventures (USV), 17, 23, 25, 85–86, 90, 157, 189 United States Conference of Mayors, 131, 147 Universal Avenue, 77 UnSYSTEM, 85–86 Upwork, 77, 162, 163.


pages: 340 words: 92,904

Street Smart: The Rise of Cities and the Fall of Cars by Samuel I. Schwartz

Amazon: amazon.comamazon.co.ukamazon.deamazon.fr

2013 Report for America's Infrastructure - American Society of Civil Engineers - 19 March 2013, active transport: walking or cycling, Affordable Care Act / Obamacare, American Society of Civil Engineers: Report Card, autonomous vehicles, car-free, City Beautiful movement, collaborative consumption, congestion charging, crowdsourcing, desegregation, Enrique Peñalosa, Ford paid five dollars a day, Frederick Winslow Taylor, if you build it, they will come, Induced demand, intermodal, invention of the wheel, lake wobegon effect, Loma Prieta earthquake, Lyft, Masdar, megacity, meta analysis, meta-analysis, moral hazard, Nate Silver, oil shock, Productivity paradox, Ralph Nader, rent control, ride hailing / ride sharing, Rosa Parks, self-driving car, skinny streets, smart cities, smart grid, smart transportation, the built environment, the map is not the territory, transportation-network company, Uber and Lyft, Uber for X, Unsafe at Any Speed, urban decay, urban planning, urban renewal, walkable city, Wall-E, white flight, white picket fence, Works Progress Administration, Yogi Berra, Zipcar

Competitors like Sidecar (launched January of 2012) and Lyft (founded summer of 2012 as an extension of an earlier city-to-city ridesharing service known as Zimride) noticed the potential upside for a business that could extract revenue from travelers without actually investing in anything as expensive as buses, trains, or even cars; all that they needed were software algorithms and marketing. Though the California Public Utilities Commission, under pressure from existing taxi services, shut them all down, it allowed them to reopen the following year as what the state of California now calls “Transportation Network Companies.” Uber, by far the biggest kid on the ridesharing block, expanded to Paris, Toronto, and London in 2012, and hasn’t looked back. By 2015 you could download the Uber app to your smartphone and request an Uber pickup in more than two hundred cities in forty-five countries.e This kind of growth attracts all sorts of attention. USA Today picked Uber as their “tech company of the year” in 2013, and venture capitalists have invested so much in the company that, as of the end of 2014, it had a valuation somewhere north of $40 billion.

Ferguson, 215 and positive feedback, 213 and racial discrimination, 214–219 redistributive or vertical, 214 return-to-source or horizontal, 214 and TEA-21, SAFETEA, and MAP-21 bills, 213–214, 214n See also Transportation Transportation infrastructure, 228–230 and ASCE Report Card on roads, 206–208 building and maintaining, 229–230 car-centric, future of, 69–70 deficient and obsolete, 228–229 investment in, 228–229 See also Bridges; Roads; Transportation Transportation Network Companies, 199 Transportation network(s) and attractors, 163–164, 166 in Boston, 166, 167, 188 and cars, 180 in Charleston, 166–170 and destination, 164, 165 and geometry, 163 in Houston, 171–173, 220 multimodal/multinodal, 61, 157, 163–165, 169, 180–181 in New York City, 48–63, 212 in Paris, 166–167, 167 (map) and power grid, comparison between, 208 and reliability and frequency, 170–171 and route maps, 170 and routes, 165 in Salt Lake City, 191–195 in San Francisco, 188 and transport modes, 164–165 and trip generation, 163–165 in Vancouver, 160–163, 165, 218 in Zurich, 174–180, 208–209 See also Grids; Transportation; Transportation systems Transportation policy and politics, 224–227 See also Transportation Transportation system(s), 156–158, 213 and connectivity, 159–160 in crisis, 61–63 and efficiency and flexibility, 156–157 and environmental concerns, 62 and gasoline, dependence on, 62 and grid patterns, 158 (see also Grids) and mobile transport devices, 209–210 and peak demand, 206 and smart cities, 208–210 See also Grids; Transportation; Transportation networks TRAX (Utah), 192–193, 194–195 Trevelyan, George Macauley, 94–95 Triborough Bridge, 30 Trip generation, 133, 163–165, 180 Trolley car, 6, 9 Trolleybus, 163, 163n, 169, 174, 175, 176, 179 Trust, 99 Tunnel engineering, 17 Uber (ride-matching/sharing service), 75, 196–205, 198n, 235 complaints against, 199–201 and liability insurance, 202–203 and surge pricing, 200, 201 and VIM, 203–204 See also Ride-matching/sharing services UberX, 199 Underhill, Paco, 143 United Cities Motor Transport, 9n United Kingdom, 116 United States leading cause of death in, 134 walking and cycling in, 150–151 University College London, 239 University of Hawaii, 231 University of Michigan, Transportation Research Institute, 73, 79 University of West Virginia, 232 Urban heat islands, 118–119 Urban Land Institute, 84 Urban living, 83–85, 84n, 85n and Millennials, 111–112 and public transit, and liberals versus conservatives, 225–226 versus suburban living, 70, 86–88, 110–112 and walking (see Walkability) See also Cities Urban Space for Pedestrians (Zupan and Pushkarev), 147 US Army, Cross-Country Motor Transport Train, 15 US Department of Defense, 183 Advanced Research Projects Agency, 233 US Department of Transportation, 209 USA Today, 199 Utah, 192–195 Utah Transit Authority (UTA), 193–195, 193n Value of a Statistical Life (VSL), 40–42 Vancouver, British Columbia, 167, 180, 218 transportation network in, 160–163, 165, 218 Vanderbilt, William K., 14, 14n Vehicle miles traveled.


pages: 441 words: 96,534

Streetfight: Handbook for an Urban Revolution by Janette Sadik-Khan, Seth Solomonow

autonomous vehicles, bike sharing scheme, call centre, car-free, carbon footprint, clean water, congestion charging, crowdsourcing, digital map, edge city, Edward Glaeser, en.wikipedia.org, Enrique Peñalosa, Hyperloop, Induced demand, Jane Jacobs, Loma Prieta earthquake, Lyft, New Urbanism, place-making, self-driving car, sharing economy, the built environment, The Death and Life of Great American Cities, the High Line, transportation-network company, Uber and Lyft, urban decay, urban planning, urban renewal, urban sprawl, walkable city, white flight, Works Progress Administration, Zipcar

A future with autonomous vehicles, delivery drones, and unified payment systems is on the near-term horizon. This wave of change has landed on our streets, and these changes will advance how we get around cities and use our streets. A smartphone can eliminate the anxiety of getting around, whether you’re in Boston, Bangalore, or Buenos Aires. But these new apps also pose big questions. While new transportation services like Uber and Lyft (called transportation network companies or TNCs in transport-speak), or shared-vehicle services like Car2Go, Zipcar, and Bridj, are using technology to dramatically lower the operating and entry costs for taxi and car services, they raise questions about social equity, safety, and the true costs of these popular services. Without a regulatory framework, cities could see outcomes that run counter to goals of mobility, sustainability, accessibility, and social equity.

See also Congestion pricing addressing by road-building and widening projects, 61–64 capacity of roads and, 61–64 economic costs of, 41 volume of roads and, 64 Traffic fatalities, 207–31 2008 strategic plan, 211–12 Diarrassouba on First Avenue, 207–8 of older New Yorkers, 214–15 speed limits and, 64–65, 213–15 statistics on, 2, 14, 144, 208–9, 211, 219–20, 228 Times Square, 92, 102 Traffic lights, 92–93, 211–12 Traffic safety, 210–31 advocacy groups and, 230–31 bikes and, 214, 221–24 campaign and projects, 214–20 counterproductive policies, 224–28 Delancey Street redesign, 215, 216, 217, 217 DOT study, 212–15 global issues, 228–29 measuring, 211 New York City ranking, 210 Traffic signals, 38–39, 54, 85, 261–62 TransLink, 67–68 TransMilenio, 234–35 Transportation Alternatives (TA), xiv, 177, 230 Transportation costs, 27–30 Transportation Department, New York City (NYCDOT), 13–15. See also specific projects chief mission, xiv–xvi DOT Academy, 39 head count, xiv–xv implementation of projects, xvi job offer by Bloomberg, xi–xii, xiii, xiv, 37 Planning and Sustainability Division, 38 PlaNYC. See PlaNYC Transportation Department, United States (USDOT), 212, 229–30, 238 Transportation network companies (TNCs), 284–85 Transport for London, 129, 132, 258 Triborough Bridge and Tunnel Authority, 15 Tri-State Transportation Campaign, xiv, 177, 236 Trottenberg, Polly, 229–30 Trucks and trucking, 277–78 Turner, Matthew, 62 Twelve-foot lanes, 49–51 23rd Street, Madison Square plaza, 85, 86, 86–89, 88 Two-way model street, 56–59, 57 rearranging, 58–59, 58–59 U Uber, 284–85 Union Square, 85, 93 United Nations (UN), 15, 228 United States Department of Transportation (USDOT), 212, 229–30, 238 University of Toronto, 62 Urban density.


pages: 294 words: 82,438

Simple Rules: How to Thrive in a Complex World by Donald Sull, Kathleen M. Eisenhardt

Amazon: amazon.comamazon.co.ukamazon.deamazon.fr

Affordable Care Act / Obamacare, Airbnb, asset allocation, Atul Gawande, barriers to entry, Basel III, Berlin Wall, carbon footprint, Checklist Manifesto, complexity theory, Craig Reynolds: boids flock, Credit Default Swap, Daniel Kahneman / Amos Tversky, diversification, drone strike, en.wikipedia.org, European colonialism, Exxon Valdez, facts on the ground, Fall of the Berlin Wall, haute cuisine, invention of the printing press, Isaac Newton, Kickstarter, late fees, Lean Startup, Louis Pasteur, Lyft, Moneyball by Michael Lewis explains big data, Nate Silver, Network effects, obamacare, Paul Graham, performance metric, price anchoring, RAND corporation, risk/return, Saturday Night Live, sharing economy, Silicon Valley, Startup school, statistical model, Steve Jobs, TaskRabbit, The Signal and the Noise by Nate Silver, transportation-network company, two-sided market, Wall-E, web application, Y Combinator, Zipcar

They soon launched Air Mattress Bed & Breakfast, later Airbnb. Airbnb is among the most successful of the shared-economy companies. Unlike many traditional businesses, shared-economy companies have no single base of customers. Rather, these companies provide two-sided markets that connect sellers (or people with something to share) with buyers (who are willing to pay for the product or service)—like the transportation-network company Lyft, which connects passengers who need a ride to drivers who have a car, and TaskRabbit, an errand-outsourcing company that connects people who need something done with “taskers” who will do the job. For Airbnb, it’s connecting local residents with room to spare and travelers who need a place to stay. To grow, shared-economy companies have to keep both sides of the market—sellers and buyers—happy.


pages: 366 words: 94,209

Throwing Rocks at the Google Bus: How Growth Became the Enemy of Prosperity by Douglas Rushkoff

Amazon: amazon.comamazon.co.ukamazon.deamazon.fr

3D printing, activist fund / activist shareholder / activist investor, Airbnb, algorithmic trading, Amazon Mechanical Turk, Andrew Keen, bank run, banking crisis, barriers to entry, bitcoin, blockchain, Burning Man, business process, buy low sell high, California gold rush, Capital in the Twenty-First Century by Thomas Piketty, carbon footprint, centralized clearinghouse, citizen journalism, clean water, cloud computing, collaborative economy, collective bargaining, colonial exploitation, Community Supported Agriculture, corporate personhood, corporate raider, creative destruction, crowdsourcing, cryptocurrency, disintermediation, diversified portfolio, Elon Musk, Erik Brynjolfsson, ethereum blockchain, fiat currency, Firefox, Flash crash, full employment, future of work, gig economy, Gini coefficient, global supply chain, global village, Google bus, Howard Rheingold, IBM and the Holocaust, impulse control, income inequality, index fund, iterative process, Jaron Lanier, Jeff Bezos, jimmy wales, job automation, Joseph Schumpeter, Kickstarter, loss aversion, Lyft, Marc Andreessen, Mark Zuckerberg, market bubble, market fundamentalism, Marshall McLuhan, means of production, medical bankruptcy, minimum viable product, Naomi Klein, Network effects, new economy, Norbert Wiener, Oculus Rift, passive investing, payday loans, peer-to-peer lending, Peter Thiel, post-industrial society, profit motive, quantitative easing, race to the bottom, recommendation engine, reserve currency, RFID, Richard Stallman, ride hailing / ride sharing, Ronald Reagan, Satoshi Nakamoto, Second Machine Age, shareholder value, sharing economy, Silicon Valley, Snapchat, social graph, software patent, Steve Jobs, TaskRabbit, The Future of Employment, trade route, transportation-network company, Turing test, Uber and Lyft, Uber for X, unpaid internship, Y Combinator, young professional, zero-sum game, Zipcar

“Worldwide Revenue of Major Toy Companies in 2012 (in Million U.S. Dollars),” statista.com, 2015. 22. Media Squat, WFMU, June 8, 2009. 23. Megan Rose Dickey, “We Talked to Uber Drivers—Here’s How Much They Really Make,” businessinsider.com, July 18, 2014. 24. Aaron Sankin, “Why New York Taxis Are Powerless Against Uber’s Price War,” dailydot.com, July 8, 2014. 25. Don Jergler, “Transportation Network Companies, Uber Liability Gap Worry Insurers,” insurancejournal.com, February 10, 2014. 26. Tim Bradshaw, “Uber’s Tactics Pay Off as It Goes Head to Head with US Rival,” ft.com, September 11, 2014. 27. Fred Wilson, “Platform Monopolies,” avc.com, July 13, 2014. 28. David Streitfeld, “Amazon, a Friendly Giant as Long as It’s Fed,” nytimes.com, July 12, 2014. 29. Venkatesh Rao, “Why Amazon Is the Best Strategic Player in Tech,” forbes.com, December 14, 2011. 30.


pages: 527 words: 147,690

Terms of Service: Social Media and the Price of Constant Connection by Jacob Silverman

Amazon: amazon.comamazon.co.ukamazon.deamazon.fr

23andMe, 4chan, A Declaration of the Independence of Cyberspace, Airbnb, airport security, Amazon Mechanical Turk, augmented reality, basic income, Brian Krebs, California gold rush, call centre, cloud computing, cognitive dissonance, commoditize, correlation does not imply causation, Credit Default Swap, crowdsourcing, don't be evil, drone strike, Edward Snowden, feminist movement, Filter Bubble, Firefox, Flash crash, game design, global village, Google Chrome, Google Glasses, hive mind, income inequality, informal economy, information retrieval, Internet of things, Jaron Lanier, jimmy wales, Kevin Kelly, Kickstarter, knowledge economy, knowledge worker, late capitalism, license plate recognition, life extension, lifelogging, Lyft, Mark Zuckerberg, Mars Rover, Marshall McLuhan, mass incarceration, meta analysis, meta-analysis, Minecraft, move fast and break things, move fast and break things, national security letter, Network effects, new economy, Nicholas Carr, Occupy movement, optical character recognition, payday loans, Peter Thiel, postindustrial economy, prediction markets, pre–internet, price discrimination, price stability, profit motive, quantitative hedge fund, race to the bottom, Ray Kurzweil, recommendation engine, rent control, RFID, ride hailing / ride sharing, self-driving car, sentiment analysis, shareholder value, sharing economy, Silicon Valley, Silicon Valley ideology, Snapchat, social graph, social web, sorting algorithm, Steve Ballmer, Steve Jobs, Steven Levy, TaskRabbit, technoutopianism, telemarketer, transportation-network company, Turing test, Uber and Lyft, Uber for X, universal basic income, unpaid internship, women in the workforce, Y Combinator, Zipcar

When a group of Uber drivers assembled outside the company’s headquarters to protest their firing, the company’s general manager said that the drivers weren’t employees and that, when they were fired, it simply amounted to deactivating the drivers’ accounts. The given reason? Low ratings from passengers. This insouciance is built into Uber, which calls itself a software company, or alternatively, a transportation network company, rather than a taxi company. (Sidecar identifies as a peer-to-peer ride-sharing service.) Uber is also known for flouting local laws by setting up business in a new city without speaking to officials responsible for managing the transport sector. There’s a great deal of unacknowledged work involved in the sharing economy. Drivers have to keep their cars clean and insured, with no help from the company nominally employing them.


pages: 504 words: 126,835

The Innovation Illusion: How So Little Is Created by So Many Working So Hard by Fredrik Erixon, Bjorn Weigel

Airbnb, Albert Einstein, asset allocation, autonomous vehicles, barriers to entry, Basel III, Bernie Madoff, bitcoin, Black Swan, blockchain, BRICs, Burning Man, Capital in the Twenty-First Century by Thomas Piketty, Cass Sunstein, Clayton Christensen, Colonization of Mars, commoditize, corporate governance, corporate social responsibility, creative destruction, crony capitalism, dark matter, David Graeber, David Ricardo: comparative advantage, discounted cash flows, distributed ledger, Donald Trump, Elon Musk, Erik Brynjolfsson, fear of failure, first square of the chessboard / second half of the chessboard, Francis Fukuyama: the end of history, George Gilder, global supply chain, global value chain, Google Glasses, Google X / Alphabet X, Gordon Gekko, high net worth, hiring and firing, Hyman Minsky, income inequality, income per capita, index fund, industrial robot, Internet of things, Jeff Bezos, job automation, job satisfaction, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, joint-stock company, Joseph Schumpeter, Just-in-time delivery, Kevin Kelly, knowledge economy, labour market flexibility, laissez-faire capitalism, lump of labour, Lyft, manufacturing employment, Mark Zuckerberg, market design, Martin Wolf, mass affluent, means of production, Mont Pelerin Society, Network effects, new economy, offshore financial centre, pensions crisis, Peter Thiel, Potemkin village, price mechanism, principal–agent problem, Productivity paradox, QWERTY keyboard, RAND corporation, Ray Kurzweil, rent-seeking, risk tolerance, risk/return, Robert Gordon, Ronald Coase, Ronald Reagan, savings glut, Second Machine Age, secular stagnation, Silicon Valley, Silicon Valley startup, Skype, sovereign wealth fund, Steve Ballmer, Steve Jobs, Steve Wozniak, technological singularity, telemarketer, The Chicago School, The Future of Employment, The Nature of the Firm, The Wealth of Nations by Adam Smith, too big to fail, total factor productivity, transaction costs, transportation-network company, tulip mania, Tyler Cowen: Great Stagnation, University of East Anglia, unpaid internship, Vanguard fund, Yogi Berra

But it has been forced to take a crash course in the political and legal grammar of innovation, because it has faced mounting opposition from competitors, trade unions, and authorities. Its opponents are calling for it to be either forced out of business or regulated to make it behave and operate just like every other taxi firm it competes with. As you might have guessed, the company in question is Uber – the San Francisco-based transport network company offering services via an app. UberPop, its peer-to-peer car-sharing service using unlicensed drivers, closed in France following the men’s arrest and all the protests against the service. Trade unions had taken strike action in protest against Uber, and some of them became violent. They burnt tires and aggressively harassed Uber drivers and their passengers. Parisian police authorities had previously tried to slow the company’s expansion by ruling that taxis could not turn up sooner than 15 minutes after the booking had been made.


pages: 373 words: 112,822

The Upstarts: How Uber, Airbnb, and the Killer Companies of the New Silicon Valley Are Changing the World by Brad Stone

Affordable Care Act / Obamacare, Airbnb, AltaVista, Amazon Web Services, Andy Kessler, autonomous vehicles, Burning Man, call centre, Chuck Templeton: OpenTable, collaborative consumption, East Village, fixed income, Google X / Alphabet X, housing crisis, inflight wifi, Jeff Bezos, Justin.tv, Kickstarter, Lyft, Marc Andreessen, Mark Zuckerberg, Menlo Park, Necker cube, obamacare, Paul Graham, peer-to-peer, Peter Thiel, race to the bottom, rent control, ride hailing / ride sharing, Ruby on Rails, Sand Hill Road, self-driving car, semantic web, sharing economy, side project, Silicon Valley, Silicon Valley startup, Skype, South of Market, San Francisco, Startup school, Steve Jobs, TaskRabbit, Tony Hsieh, transportation-network company, Uber and Lyft, Uber for X, Y Combinator, Y2K, Zipcar

Zafar agreed and threw the driver out of the auditorium. The decision by the five PUC commissioners on the ridesharing companies was ultimately unanimous. Under Michael Peevey’s influential direction, and with letters of support from Mayor Ed Lee in San Francisco and Mayor Eric Garcetti in Los Angeles, Peevey and the four other commissioners voted to formally legalize ridesharing, classified the firms as “transportation network companies,” and said they would revisit the ruling in a year. The new rules required the companies to, among other things, report the average number of hours and miles each driver spent on the road every year—a requirement Uber would subsequently ignore, racking up millions in fines.27 It also reiterated that the companies were required to hold a million dollars in supplemental insurance to cover drivers, but only while passengers were in their car—a provision that was soon shown to be tragically inadequate.28 Nevertheless, the ruling legitimized the TNCs and gave them ammunition for coming legal fights in other states and countries.