If the motorcycles hits a bigger vehicle, the motorcycle rider is more likely to get injured. If motorcycle hits a pedestrian, pedestrian is likely to get injured. As the data only says fatalities, it could be either the motorcyclist or pedestrian or even people in bigger vehicle. So the data is confusing??.

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Where do I post more data that I have? May be make a book with all traffic stats, and club such posts there.

Post your dataset on IBM many eyes, people can make their own visualizations and post it back here like I have done above

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Not that I want to defend motor cyclists - but is this `causes' or `involvement'. Clearly an accident involving a motorcycle is going to result in a higher likelyhood of fatality than one involving a car or bus....

Ramesh

 

 

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SB,

Topping the list is 'CAR'.

Sl. No.

Type of Vehicle

Fatal Cases

Non-Fatal

Damage

Total Cases

Cases

Killed

Cases

Injured

 

Car

71

76

752

932

251

1074

 

Sl. No.

Type of Vehicle

Fatal Cases

Non-Fatal

Damage

Total Cases

Car

112

116

1330

1619

483

1925

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@rs, I have the same question. On top of that, if a bike and a car collied, will there be 2 entries here (1 for car, 1 for bike)?

Also, to those who will say there are so many cars vs so few buses, that imbalance gets corrected by the fact that each bus does lot many more runs (7-8) than each car on the city road (mostly 2).

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See detailed report in TOI here.

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Like Ramesh pointed out, unless we know whether an accident results in a case against both vehicles involved (except for cases such as pedestrian accidents or accident on stationary property), it is too early to let BMTC drivers off the hook.  I will not be surprised if motor cycle accidents result in the death of the driver of the vehicle while BMTC accidents, more often than not result in survival of everybody in the bus.

Bus and lorry put together certainly are a major cause of death and injury - large vehicles are dangerous.  The other thing this statistic does not capture is the injury part.  In many cases, injury is worse than death.

Can we normalize this data in terms of estimated kilometers driven by each category of vehicle.  That would be interesting, don't you think.?

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Didn't post this to exonerate BMTC divers or anyone. A lot of talk happens without data, this supplies some. We all suck as drivers, pretty much equally, though the tendency is to blame Bus, Autos and Cabs no end.

Injury data is covered, see "non-fatal" column.

Normalizing by trip kilometers will give better picture. Applying this normalization factor to total tickets, fines, and then injury stats should give better picture.

While normalize on trip kilometer, can take vehicle population into account as well. Vehicle population X estimated trips = total trip kilometers, estimated of course.

Where do I post more data that I have? May be make a book with all traffic stats, and club such posts there.

Any BI/DW, Web programmers interested in making god presentations on top of this data? Join in to do some open data work, which is what all this is.

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 Since the motorcycles are more in the city, no of accidents will be more. At the same time, drivers of the motorcycles will also be killed. We should take the percentage of accidents to total vehicles.

Also, if we compare the yester years, most of the people were using two wheelers, initially bicycles, then mopeds, bajaj scooters and finally to bikes. Scenairo was not this bad in those days due to reduced number of four wheelers.

Some of the bike riders are very rash so is the case of some of the car riders. But, bike should consider hitting a pedestrain or even a stray dog since the driver also will fall down. It is not the case with car drivers and hence so much raging especially youths on weekends and cab drivers everyday.. Car accidents are fatal on highways, less in cities. Still, people take cars run at 100+ loosing their as well as their families life although there are other safer mode of transportation in terms of trains and buses, just for the pleasure of the drive people still continue. Also, people do not buy cars with safety features, even if they buy, they do not use such as seat belts and air bags, these being a must for all cars in advanced countries.

We cannot generalize. It is a normaly tendency to blame car drivers if you are a bike driver and  viceversa.  Overall there is raging every where. Best is to promote PT usage more and more to save lives. Buses are always safer more than the cars especially on the highways. 

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Cool, such tools is what we need, upload data there, and discuss snapshots here. will play with it after uploading some more.

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It's sad there are so many  loss of lives.

Does marriage make men drive slower? At least insurance companies think so!

Seriously, mobikes are more  due to rash driving, more so if the rider is a bachelor.There is definitely a different thinking process if the rider is married and has a child waiting for him  to return home..

The companies are partly to blame as they promote a he-man, macho image for a motorcyclist and image is everything these days! They should have a guard that will take the brunt of the fall should there be an accident. otherwise a rider has very little chance of survival.

Finally, I find lot of girls riding a scooty barely able to balance  the vehicle when followed by a lorry. A school teacher lost both her children  a fortnight back in Mysore as she was negotiating a steep gradient and a speed breaker  to boot when she lost balance and a city bus ran over her; she survived but the kids were run over by the bus...

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 Does marriage make men drive slower? 

Yes, to the mall. The faster you get there the more she spends.

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ids, how about looking at offences as a  proportion of total registered vehicles using these statistics.

We would need to restrict analysis to classes for which data exists and (incorrectly) assume all offences are booked against city vehicles only. Despite this, that analysis might help us evaluate, more objectively, some of those-oft made claims; "auto drivers are rash, two-wheelers are aggressive...everyone but me is a bad driver" and so on. 

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Here you go, I call it the "Accident Propensity Index". A ratio of cases per 10K vehicles. Based on 2009 data taken from here. Others include the riff-raff vehicles- tempo, maxicab, bullock cart, taxi etc

 

 

Explanation: for every 10,000 vehicles of HTV type (lorry, tanker, tractor) 189 of them tend to get booked. Ideally this needs to be extrapolated for many years to establish a pattern. SO if the HTV bubble remained just as big over the years we can make the conclusion they are incorrigible. But one year is good enough for quick determination. We also need to remember we dont know for what reason they got booked. Case type will be interesting parameter in the mix. Lorrys are the fav to get pulled up for non driving related reasons

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Tried the same using vehicle data from BTP but went with the original accident case data that SB initially provided.

Since I was only including numbers killed in accidents, I called it, rather morbidly, a Lethality index.

As with ids' analyses above, numbers on the y-axis denote number of fatalities/10,000 vehicles in that class. For clarification, classes were defined from SB's dataset as:

1. 2-wheelers: 'Motorcycle', 'Scooter' and 'Moped'
2. LMVs: 'Car' & 'Jeep'
3. Auto&Cab: 'Taxi' & 'Auto-rickshaw'
4. HTV: 'BMTC', KSRTC', 'Factory' and 'Private' buses and 'Maxicabs'
5. HGV: 'Lorry', Tractor' & 'Tanker'

Excluded from this is 'Tempo' and 'Van' since I wasn't sure where these would go (Auto&Cab, LMV?).

---

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Once again I dont know how accurate this is simply because a lot of two wheelers get away with their crimes and it is harder for a lorry or HTV to hit and run. This morning, for example - at least 20 two wheelers and 1 car ran the red light at which I was stopped. Cops tend to book cars or larger vehicles since their method of stopping a vehicle is to come in the way of the movement of it and make it stop - two wheelers can escape more easily. The plates on a two wheeler are typically two small or unclear to be legible so they can get away with this.

Futher, two wheelers can cause accidents are get away with them more easily. So while they might not be legally responsible oftentimes they may be morally responsible.

All this to say that its hard to get a good picture. I think the main culprits are both two wheelers, autos  and HTVs because they tend to drive more haphazardly than other vehicles.  Not that cars dont do their bit for bad driving - but still.

 

Ramesh

 

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