Designing the ideal taxi system [for New York City (and beyond)]


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Emails from 2009 - 2010 showing the invention of using marketing to make taxis rides to destinations cheaper.

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Designing the ideal taxi system [for New York City (and beyond)]

  1. 1. 3/3/2014 Google Desktop: Re: FYI: Designing the Ideal Taxi System for New York City (and beyond) Web Images Groups News digital logistics View Entire Thread (6) Desktop Search Cached messages « Older | Newer » Products more » Desktop Preferences Advanced Search Message 6 of 6 in conversation Reply | Reply to all | Open in Lotus Notes Re: FYI: Designing the Ideal Taxi System for New York City (and beyond) From: Eric Matthew Masaba/Texxi/CraneDragon To: "Ed Brill" <> Date: 09 Jan 2008 - 1:52a.m. Hi Ed, The iPhone could be a target for us, but then again, a competitor to Apple cound fund a T-Phone. We happen to know that Nokia "have a file on us" we were told by a faculty member at the Centre for Transportation studies in UWE Bristol, England. Basically, some of the Web2.0 mashups like Farecast, LowestFare, Yapta and FareCompare are the space we overlap also. I specifically love Farecast and its "yield curve" like approach. Imagine when we are doing this for taxis, airport transfer vehicles and the such in every US and Canadian city. The integration between the boundaries of online search and travel will become increasingly blurred to the point where the two activities are seamless. If one considers that the intentions of a large number of people start with an online search (including mobile online search) then there are two fulfillment paths to consider. In the first case, the intention is fulfilled by moving an item TO the person who executed the demand. This is handled extremely well by the logistics business space. There is room for evolution, but generally it is a problem with excellent solutions. When the item required is digital in nature, this is taken care even more effectively by the network / bandwidth provisioning companies (Digital Logistics). Secondly, an intention is fulfilled by moving the person TO the intended place. This is handled neither particularly well nor seamlessly. Assume I am a tourist looking for an attraction to visit in a foreign city. Normally I would use a (space-domain) map, figure out where the attraction was located, then figure out how to get there and how much the trip would cost. I would then go to find the transport and try to coincide my itinerary with a timetable. Now with an evolved Texxi model, I would use my mobile communications device with either a timelocation-domain map of attractions OR a cost-location-domain map of attractions (these are maps which show loci depending on how long it takes get there or how much it costs to get there; the actual distance is normally a secondary consideration, it is just that this normally has some reasonable relationship to the time it takes to get there). Then the final and critical piece. I click on the map and instruct the DRT Exchange that this is where I wish to go. Texxi (the Broker) takes care of the rest through its DRT Exchange activities and I am moved by a DRT Service Provider (shuttle, taxi, bus, private jet) from either directly where I am located or from nearby with a group of people with a similar itinerary. This group is further filtered by behaviour/reputation parameters - so I don't get put in transport with football hooligans. 1/3
  2. 2. 3/3/2014 Google Desktop: Re: FYI: Designing the Ideal Taxi System for New York City (and beyond) There’s been quite a bit of buzz lately around travel-related startups. Below is a listing of some of the more recent travel startups that I’ve come across. As of January 2007, Forrester estimates consumers will spend over $80 billion booking tickets, lodging, cars, rail, cruises and packages this year with strong growth moving forward. As you can guess the space is already extremely crowded and the trend will mostly likely continue. Airfare - FareCast (prediction website), Yapta (deal/refund finder), cFares, FareCompare Search Engines - Kayak, SideStep, Qixo, Mobissimo Group Travel - TripHub, Groople Social/Community - TripWiser, RealTravel, Gusto, SnapJot Hotels - HotelsCombined, TravelPost Other - GuestCentric (travel web services), JumpClaimer (mobile travel site), TripOvation (prelaunch), Expodition (travel guides for your ipod), Viator (booking engine for attractions, day trips, tours), Wandrian (e-commerce solution for the rail industry) "Ed Brill" <> 09/01/2008 00:59 To cc Subject Re: FYI: Designing the Ideal Taxi System for New York City (and beyond) Eric, Happy new year to you. Re your last line, I am increasingly seeing the handheld devices become the modern notion of the Star Trek Communicator... everything in your hand! If so, then it makes perfect sense for there to be a way to order up a Texxi through the device...using GPS even! Very exciting times as those devices become pervasive. --Ed On Jan 7, 2008 11:06 PM, <> wrote: Hi Ed, 2/3
  3. 3. 3/3/2014 Google Desktop: Re: FYI: Designing the Ideal Taxi System for New York City (and beyond) Hope Lotusphere is treating you right. Just wanted to you see the latest tack we are taking. The three most similar startups to us are Farecast, Zopa and Liftopia. Perhaps we will combine data/methods from Priceline, Hotwire or other auction sites shortly. Imagine having Texxi on your iPhone also. Regards Eric ----- Forwarded by Eric Matthew Masaba/Texxi/CraneDragon on 08/01/2008 05:03 ----- « Older | Newer » View Entire Thread (6) digital logistics Reply | Reply to all | Open in Lotus Notes Search Google Desktop Home - Browse Timeline - Index Status - Privacy - About - ©2009 Google 3/3