Citi Cab

Add to miscellaneous. added to miscellaneous from miscellaneous. deleted from miscellaneous. As we got into the taxi he said it was $4 per capita plus tip from Belmar to Sea Girt, then when we got to Sea Girt he billed us $5 per capita and when one of our friend from Sea Girt had to drive to Manasquan he tried to bill her $15.

I just got $30 billed for a 6-minute cab ride! I' m sorry! They said they recharge per area, not per mile traveled.

750 W Base line Rd Tempe, AZ Taxis

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What time are Citi bikes in New York City quicker than taxis?

Autos, bicycles, metros, busses, ferries and more all vie with each other, but we never get much express criticism about who "wins". "I' ve already been writing about the NYC cab publicly and the Citi Bike shared information, and I noticed that these records can help ID the quickest people, at least between automobiles and bicycles.

Actually, I have created an online manual that shows when a Citi Bike is quicker than a cab, based on the distance and hour of the trip. Select a start area and a clock date. It shows whether you would be expecting a cab (yellow) or a Citi Bike (dark blue) to get you to any neighbourhood first.

It is my estimation that 40% of working day cab journeys within the Citi Bike services area would be quicker if they were converted to a Citi Bike from July 2016 to June 2017 onwards. More than 50% of taxis would be expected to be quicker when Citi Bike is riding during rush hour noon.

Especially if many cab drivers were to switch to Citi bicycles at the same time, the bicycle sharing system would probably face significant bottlenecks in capacities, making it hard to find available bicycles and berths. Greater use of bicycles can ultimately result in fewer cars on the roads, which could reduce stowage of cars and possibly raise stowage of cycle paths.

It is important to recognize that when I say that "40% of taxis would be quicker if they changed to Citi bikes," we are considering approximately the choice of a skilful individual, assuming that everyone else's behaviour remains the same. Consider seriously taking a bicycle instead of a motor vehicle!

Travel to Manhattan is generally considered more challenging than its north-south equivalents. Parting Manhattan into the cross areas shown above, I then worked out the cab vs. Citi Bike profit rates for tours that began and ended within each area. In Manhattan's main commercial area, cabs perform particularly poorly.

When you take a lunch hour cab that begins and ends between Route 42 and 59, there is a 70% probability that the journey would have been quicker than a Citi Bike journey. Remember, this applies to all journeys between Route 42 and 59. On some of the longest cross-town trails, e.g. from the United Nations on the eastern side to Hell's Kitchen on the western side, Citi Bikes hit 90% of cabs during the days.

It should be noted that between July 2016 and June 2017 cabs made eight tours between 42 and 59 roads as many as Citi bicycles - certainly there would be less overall transport if some of these cab drivers took bicycles instead. Here are charts of all districts by the hour, and here is an overview chart for weekend excursions between 8:00 and 19:00:

Remember that this is limited to journeys beginning and ending within the same area, so that, for example, a journey from 23 to 57 roads would be impossible because it begins and ends in different areas. Cab rides are better for those staying on the eastern or western side of Manhattan: 35% of day cab rides starting and ending on the western side of Manhattan's Eighth Avenue would be expected to be quicker than Citi Bike rides, along with 38% of cab rides starting and ending on the eastern side of Manhattan's 3rd Avenue.

Citi bikes can be beaten by cabis even on longer journeys: At the start of the Citi Bike programme in July 2013, less than half of the daily cab rides on weekdays would have been quicker if Citi bikes had been used. A monthly review was conducted to see how the cab has evolved over the years in comparison to Citi Bike Calculus, and to see that cabs are getting ever more slow in comparison to Citi Bikes:

Please be aware that this monthly review is limited to the Citi Bike Services area before the programme was extended in August 2015. Most of the early growth took place in Upper Manhattan and outlying areas, where cabs generally perform better than bicycles, and to keep things coherent, I limited the above chart to areas that have had Citi bicycles since 2013.

In the course of the years, cabs lose more of their Citi bikes because cab journey speeds have slowed down, while Citi bike journey speeds have stayed the same. I' ve performed a couple of recalculations in order to calculate the driving hours as a function on:: I do not, as always, maintain that this is a perfectly good example, but it takes the fundamentals into consideration, and if we look at the factors by year, it shows that a cab ride in 2017 took 17% longer than the same ride in 2009 if we keep the other variable levels the same.

A 10-minute journey on weekdays from Midtown East to Union Square in 2009 would take an estimated 11:45 a.m. in 2017. Citi bikes do not show the same deceleration over a period of years as the same kind of deceleration that is used on Citi bikes, in fact Citi bikes became a bit quicker. The travelling seasons of Citi Bike are less susceptible to the daytime than those of taxis.

On average, a lunchtime ride takes 40% longer than the same ride during off-peak periods, while a Citi Bike tour is 15% longer during busy periods than during off-peak periods. Riny weather is associated with 2% quicker Citi Bike journey time and 1% shorter cab journey time. Autumn is the busiest season for cabs, but for Citi Bikes it' time is the second.

January has the quickest travelling time for both. It is one thing to say that 50% of lunchtime cab journeys would be quicker than Citi Bike journeys, but how much does this differ from person to person? It is possible to envisage some heavy closure periods where more agile bicycles have an edge in circulation or other periods during the summers when cabs can use the less congested highways.

Here is a history of the lost rates of taxes - the percentage of cab rides we would be expecting if we changed to Citi bikes for day of the week excursions in the afternoons of July 2016 through June 2017: A lot of people see a lost cab fee of just over 50%, but there are numbers at both ends, suggesting that some people tend to prefer cabs or Citi bikes.

Data where cabs were the quickest in comparison to Citi Bikes looks like data that probably had less travel than before. With the highest cab revenue rates, the Sunday afternoons were Monday, October 3, 2016, the Rosh Hashanah Jewish-era celebration when many New Yorkers would have come home from work or college.

Next 3 best taxi day were all Mondays in August, when I could picture a bunch of guys leaving town on holiday. Top 4 events where Citi Bike could beat Taxi were all wet weather events in autumn 2016. While I don't know why wet weather bicycles make quicker compared to cabs, perhaps it causes road travel, which is disproportionate to the number of vehicles, but it is also possible that there is a distortion of choice.

I' ve already talked about how the wheather is predicting Citi Bike passenger traffic, and not unexpectedly there are fewer drivers in the wet. Perhaps the people who enjoy cycling in wet conditions are more self-confident bikers who also go quicker in good conditions. It is also possible that wet days bikers are particularly keen to cycle quicker to get out of the cold shower.

The 8th of June 2016 was a particularly good date for Citi Bikes in comparison to taxi. Browse around a little looking for the most affected areas of the President's trip and came on lunchtime excursions from Union Square to Murray Hill. Citi Bikes clocked up 57% of the Union Square to Murray Hill times on a typically weekly Sunday afternoons, but Citi Bikes clocked up 90% of the June 8s.

One even more dramatical way to see the Obama effect is to look at the everyday media journey times: Usually an 8 minute long day trip lasts 8 hours, but on 8 June the average is over 21 hours. Citi Bike's average travelling duration is almost always 9 min, even during President Obama's visits.

Even though the effects were not as serious as during President Obama's trip, the Citi Bike's average duration on September 19 doubles, while the Citi Bike's average duration remains the same. June 15, 2016 is another example, this one on the western side, when a tilted truck follower closed the Lincoln Tunnel for almost seven hour.

Taxicabs from the Upper West Side to West Chelsea, which normally take 15 min, lasted over 35 min. The Citi bikes usually take 18 mins on the same track, and June 15th was no different. Taxi drivers would normally expect to hit Citi Bikes 67% of the day on a day of the week tomorrow, but on June 15 Citi Bikes won over 92% of the case.

Of course, these are three hand-picked runaways, and it wouldn't be entirely reasonable to conclude from them that Citi bikes are always more durable than cabs in harsh conditions. However, the wider picture shows that cabs are more than twice as likely as Citi bikes to have a day where the mean distance of a trip is at least 5 min below mean, and more than 3. 5 x more likely to be at least 10 min below mean, so it really looks like Citi bikes are better at minimising the worse results.

Since 2009, why have cabs become slow? In 2014 and 2015, the greatest decelerations in cab journey time occurred. There is nothing in the datamodel and in regression about why cabs have decelerated so much during this time, although it might be interesting to delve further into the dataset to see if there are any particular areas where cabs have performed better or poorer since 2009.

However, if I had to guessed why cabs have become particularly slow in 2014 and 2015, I would begin with the explosion of ride-hailing applications, as the time seems to be right and the public information shows that they cause ten thousand cars on the highways.

However, if ride-hauling was the main cause of the increase in traffic jams in 2014 and 2015, it does not make much sense to stabilise cab journey time in 2016 and 2017 because ride-hauling has further improved and while the use of taxis is continuing to decrease, the 2016-17 relative levels of increase and decrease are not very different from 2014-15.

A possible reason could be that from 2016 there was a decrease in the number of other kinds of car - conventional blacks, personal automobiles, etc. - to compensate for the driver's increase, but I have not seen any evidence to back up (or disprove) this notion. And there are also those who hold the cycle paths responsible for the deterioration of vehicular transport.

Again, different individuals have vested interests that conflict on both sides, but there seem to be more datapoints claiming that cycle paths do not cause transport (e.g. here, here and here) than the other way around. But I was not able to find anything about the date of building bicycle paths in New York to see how close it coincided with the deceleration of the 2014-15 Cabs.

What is the representation of taxes and Citi bicycles for all types of vehicles and bicycles? It is not a horrible hypothesis, I think, that cabs are representing the type of motoring in New York. Cabins may be quicker than ordinary vehicles, if at all, because cab users are probably more seasoned and often agressive.

However, it seems anecdotically less likely for cab users to use a roadworthy satellite system, which could damage their journey time. A Citi bike is probably much more slow than a private bike. A Citi bike is engineered to be tough and strong, which may make it more secure, but reduces its speed. I also appreciate that cycling fans, who may be quicker cyclists, are more likely to drive their own more powerful bicycles.

Finally, Citi Bike drivers may have to waste additional travel at the end of a journey looking for an available quay, while private bicycles have more space to park. Considering these considerations, I would assume that if we somehow had the necessary information to analyse the wider issue of all automobiles vs. all bicycles, the results would tilt a little in favour of bicycles in comparison to the results of closer cab vs. Citi Bike analyses.

It is also noteworthy that both cabs and Citi bicycles have extra cost of travel times that are not taken into account: you must call a cab and there may not be a Citi Bike stop near your exit or end. A thing to keep in mind is that although the most convenient data available for analyzing are the Bike and Mini Bike records, New Yorkers do not restrict their selections to automobiles and bicycles.

Despite its bad recent credentials, the metro brings together every single minute a million passengers, more than cabs, riding call applications and Citi bikes, so it's not like "car vs. bike" is always the most important one. And there are justifiable grounds for choosing a vehicle - or the other way around - that are not entirely dependent on the anticipated journey times.

Bicycle use in New York has grown drastically over the past ten years, probably largely because individuals themselves have found that cycling is often the quickest one. However, even with this rate of increase, the evidence shows that many individuals could still be saving valuable times and minimizing their poorer performance by switching from automobiles to bicycles.

A Citi Bike crushes cabs as they travel from Williamsburg to Manhattan during the early hours of light! Citi Bike Analyzer is available here as part of the nyc-taxi-data reper. Citi Bike dates have been available since July 2013.

I' ve filtrated each record to make the parsing close to a comparision between apple and apple - see GitHub repos for a more comprehensive explanation of the filing - but in a nutshell: from July 2016, perhaps for data protection reasons, the TLC discontinued the indication of latitudes and longitudes for each cab ride. Instead, the TLC now splits the town into 263 taxis (map) and provides pick-up and drop-off areas for each journey.

GitHub is the best way to analyze the situation, assuming that taxes and Citi bicycles have the same distributed rides within a given area, see GitHub for more information. 80 percent of cab rides begin and end in areas with Citi Bike stops, and the data set since July 2013 includes 330 million cab rides and 27 million Citi Bike rides.

Between July 1, 2016 and June 30, 2017 - the last 12-month interval of available information - the aggregated set of filters comprises 68 million taxis and 9 million Citi bikes. A Monte Carlo simulator was written in Ra to determine the likelihood that a Citi bike would be quicker than a cab for a given itinerary.

Each journey is allocated to a container in which the containers are commissioned in such a way that the journeys within a container are largely similar. Range defaults are agile, and I have done many simulation with different range defaults, but a sensible option might be to group trips: As an example, day excursions from West Village to Times Square between 9:00 a.m. and 10:00 a.m. would form a can.

It repeats itself over each pail containing at least 5 taxis and 5 Citi bike rides, and for each pail it takes 10,000 spot checks, with replacements, for each taxis and Citi bike tour. If we call the odds of the pail that a cab is quicker than a Citi Bike, let's call it the "Taxi Wins Rate", the odds are that the portion of the sample where the cab ride time is less than the Citi Bike ride time.

Imagine this as 10,000 separate head-to-head racing events, with each event triggering a separate cab ride against a separate Citi Bike itinerary. I' ve done monthly simulation to see how profit ratios have developed over the years, simulation that only used rainy day and others.