SMART CITIES FOR EVERYONE
By Mr. Albert Ching MCP 2012 March 5, 2013
The problem 15-18 million people 100,000 cars
<1% vehicles per 100 ppl
Rush hour traffic in Jakarta
MEET DHAKA
Only 1% of people have cars
What do we predict will happen to Dhaka if nothing is done?
The problem 9 million people 9 million motorbikes 3 million cars >100% vehicles per 100 ppl
4 pm Traffic Jam in JAKARTA August 2011
Rush hour traffic in Jakarta
Summer 2011
Fall 2011
Introducing
living dhaka,
a social technology experiment to measure activity in the city
tiger tags
a tiger tag is just a piece of paper with a qr code embedded with a unique but anonymous id e.g. bengaltiger445
Living Dhaka
when an individual carries it, he or she becomes a tiger who can then be tracked by smartphone carrying volunteers.
one scan can log a host of information on those tigers
4:59 pm (time)
23.70, 90.44 (location)
walking (transport mode)
smiling(happines s)
which can then be sent into the cloud and aggregrated to produce measurements like the following which we tested at mit
Living Showcase at MIT | Nov17,2011 where the tigers roamed
what the tigers were interested in
when the tigers came and went, how long they stayed
the relationship btwn what they liked and where it was located
Living Showcase at MIT | Nov17,2011 6 smartphones, 8 volunteers, 140 tigers total cost - $200 (t-shirts, printing zebra tags, phones borrowed) development time – 4 (long) days, 1-2 people
Living Dhaka | weekofJanuary12, 2012
50 smartphones, 100 volunteers, x tigers? total cost - $10-20,000 we’d like to measure things not normally measured (e.g. pedestrian flows, bus ridership, cycle rickshaw flows) and understand how both the measurements themselves and the social process of measurement is received by the city development time – 2 months
Living Dhaka | weekofJanuary12, 2012 Old Dhaka Pedestrian Density & Flows
10 AM
1 PM
6 PM (LARGER SCALE)
experimental design 50 scanners at 25 fixed nodes 3 separate scanning times color of dots = high no. of scans/ minute
main pedestrian corridors
Living Dhaka | weekofJanuary12, 2012
Firmgate Bus Ridership and Speeds estimated speeds
experimental design
<5 km/h
50 scanners @ 6 fixed nodes
tap-outs
size of colors represents number of people alighting from those stops from farmgate speed calculated by average of consecutive scans
5-10 km/h
10-15 km/h
tap-ins
6 PM (MEDIUM SCALE)
Living Dhaka | weekofJanuary12, 2012 Dhanmondi Lake Happiness and Density Map
experimental design 50 roaming scanners 1 scanning time at peak time blue color = places of highest number of happy people
favorite spots
8 PM (MEDIUM SCALE)
1 Living Dhaka baseline measurements of car-free travel in the city
pedestrian flows, bus and cycle rickshaw ridership, sidewalk happiness, meeting of rich and the poor
2 Design Your Dhaka design challenge to improve these metrics in the city most promising ideas will get seed funding and tech assistance to prototype Grand prize for the experiment which improves the metrics the most
DESIGN YOUR DHAKA
sexy sidewalks
The problem
Mele Kalikimaka 2011
Jan 2012
Feb 2012
Bus Me Dhaka v25
Spring Break 2012
3-18-2012 Sunday
3-19-2012 Monday
3-20-2012 Tuesday
3-21-2012 Wednesday
3-23-2012 Friday
3-24-2012 Saturday
3-25-2012 Sunday
Cricket Stadium
36
27
Detour due to cricket matches
Bus Routes
UTTARA PALLABI
AZIMPUR
Road Speed
Weekday 2:07
Bad day
Weekend 1:50
27 Uttara 20 km
1:47
1:25
Average
1:04 0:43
8 am 10 am
6 pm
Azimpur
Good day
*Data based on 42 Rides in March 2012
Bus Travel Times
16% female (of those counted)
100% with a mobile phone (18% with smartphone, 50% with internet-enabled multimedia phone)
Young, Male, Captive, Mobile, Hates Crowding 85% surveyed btwn 24-34 years
57% ride at least 5 times a week
Most common complaint about buses (23%)
Long waits (21%) and Too few buses (20%) were also common
* Potential flock bias
Bus Rider Demographics
bus size
rider happiness
bus crowding
female passengers
BRTC 3.6 52 seats per bus
VIP 2.3 39 seats per bus
Bus Size + Rider Happiness + Crowding + Female Ridership
2.5 hours Most painfulâ&#x20AC;¨ commute"
Most popular commutes"
27 Uttara"
7%" 5%" Banani" 3%"
Dhanmondi"
1.3
3%" hours!
Average one-way â&#x20AC;¨ commute time"
Azimpur"
6%"
Accessibility
Sep 2012
Dec 2012
Dhonnobad. Xitu
Mamun bhai
Stephen
Elizabeth Kuan
Muntasir Nestor
Jan 2013 The First Bus Map of Dhaka