— ITPG-GT 2621 001 CLOUDCOMMUTING

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Team: Dan Melancon, David Tracy and Saki Hayashi

Strategy of the Commons is a game that explores the application of Game Theory to a dynamic system of exchange such as the CitiBike system in New York City.

Through gameplay we aim to address the following question: Can the implementation of system wide penalties and bonuses influence the behavior of self interested players? Furthermore, can we fine-tune these penalties and bonuses to achieve system balance?

The core gameplay works as such:
– Six stations distributed throughout the fourth floor of ITP.
– Each station starts with the exact same stock.
– Up to fifteen players must navigate the system, collecting points for redistributing stock
– Players intermittently receive missions that they must complete, or they will receive a penalty.
– If a station becomes completely empty, or completely filled, a system-wide penalty is activated
– the penalty steals one point from everyone in the system every five seconds and deposits these points at the unbalanced station as a bonus to whoever restores the system (by depositing stock at an empty station or taking stock from a full station)
– After ten minutes of play, the player with the highest point total wins.

 

 

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The first play test with three stations and 15 players, touching RFID card to the reader.Screen Shot 2014-11-16 at 1.53.43 PM

The first play test, touching RFID card to the reader.

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Prototyping RFID six readers

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RFID card readers as stations the players touch
Screen Shot 2014-11-16 at 6.29.59 PM

The second play test with six stations and 15 people
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The web/ mobile interface from the mission control screen

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A player accepting points

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Team Dan Melancon, David Tracy, Saki Hayashi
For our final, we need to make web interface that the players can check their points. This is our WIP, prototype of simple bar graph the player check their score by their mobile.
 

Screen Shot 2014-11-04 at 10.17.57 PM

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Team: Daniel Melancon, David Tracy, and Saki Hayashi

Who uses the citiBike system and how might changes to its user base broadly affect its use?

These questions served as points of entry for our research, analysis and simulation of the citiBike system. We began by analyzing system users by three factors:

  • Their gender.
  • Their age.
  • Where they go.

These three data points are readily available from CitiBike. Age was subdivided into ten year chunks (ie. under thirty, thirty to forty, forty to fifty, and over fifty).

We took Citi Bike system data and organized it by station; giving each station its own unique demographic profile. Python was used to parse this data. Git repo here. (https://github.com/davidptracy/CitiBikeParse)

Diagram01-01

Next, we analysed and visualised the data what kinds of people go to which community districts.
Exploration of Demographic for City Bike Stations in NYC copy

Lastly, we applied the extracted data into our simulation model. Each circle, station has different capacity to allow bikes to be in and the turtles have different variables, gender and age. This simulation model eventually shows how they fill each group of stations and behave when they cannot fit in their desired stations.

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What we learned:

  1. The age and gender of the users getting to all the community districts are significantly similar. Male users are predominant. Especially, under 40 years old males comprises almost the half whereas, only one quarter of the users are females.
  2. As the capacity of the each station is similar, changing one parameter, proportion of the users affected all the stations.
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Team: Dan Melancon, David Tracy, Saki Hayashi

This is our System Dynamic diagram we did in the last session(WIP)
system_dynamic

 

Our hypothesis is Citi Bike users ride bikes for specific reasons. In order to address these, we begun to analyse the data. What kinds of users and where they tend to go, etc.

The first map shoes the number of bikes(color illustrates quantity) getting to East Village in morning and evening.
gettingEastVillage_morning
gettingEastVillage_evening

This chart shows ages and income of the Citi Bike users in Lower East Side

We are gonna create the same chart as this in different areas like Brooklyn Heights, East Village etc to profile the users’ specific activities.

userAnalysis_lowerEast

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By analyzing and finding correlation between 2010 Census data and archived CitiBike Data, we can determine what demographics are served by each citiBike station. Using this data, we will build a interactive data visualization where the user can add CitiBike Sations to see what demographics can be better served by location. Based on these finding we can extrapolate on how the system might grow to better serve its constituents.

 

Cloudcommuting presentation Class 3_2

Cloudcommuting presentation Class 3_3

Cloudcommuting presentation Class 3_4

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The assignment map

This map shows the starting points and travel durations by customer and subscriber of Citi Bike on 1st of July 2013. As you can see, the dots colour indicates different types of users. This graph is also interactive that when you mouseover on the dots, you can see the time durations.

The geographical data is from Citi bike data but I’m not sure why the users are not overlapped some should have used the same bike station, though.
*I could not embed the map I created here which I was able to embed on my wrodpress blog.
The link:
https://sakihayashi.cartodb.com/viz/fc4f8106-3b65-11e4-8081-0edbca4b5057/map

This map compares length of travel durations of Citi bike users by geolocation data from 1st of July 2013. At the start, they have shorter and the end of the animation is longer. We can see here the users rode bikes for shorter trips mainly. The first idea is to map all the usrs’ starting and ending locations yet I had a technical limitation.

*I could not embed the map I created here which I was able to embed on my wrodpress blog.
http://cdb.io/1mdMdnH

Reading: A Tour through the Visualization Zoo

“The challenge is to create effective and engaging visualizations that are appropriate to the data”.

It is not always easy to match our idea and data visualisation. Especially my case, there are technical limits as well. Also, with interactive tech, our data visualisation tools have become quite complicated. The tools are good to organise complicated and large amount of data, actually.

The tricky thing is more visualisation technique and more easy to make ‘nicer graphic’ seemingly have some meanings. I think the process of how we make the data is more important than making a beautiful graphic.

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By reading Me++ I have thought about our intelligent urban system

Me++ The cyborg Self And The Networked City by Willian J Michell:

The author William states that “in the last couple of decades the convergence of increasingly capable wireless technology with expanding network infrastructure , miniaturised electronics and proliferating digital information had radically refashioned the relationships of individuals to their constructed environments and one to another. Today, we have used GPS system with searching function which changed our city experience dramatically that we can find where we want to go without asking people around anymore. That is probably one of the biggest change in that we have lost interaction and social opportunities. Instead, we socialise in virtual space. I do not think this is a great thing, to be honest as it isolates urban dwellers. The navigation system changed how I use my city. It becomes more going to targeting places. The smart system actually helps to optimise time and cost to reach to the targets and purposes. This makes me quite strange to me who has architectural background that designing highly functional system has been criticised and some have develop how they can create a complex city. Yet, the system actually suggests where we do not visit usually so experience of the city directed by information in virtual space based. Today, we look at someone’s review and online menu when we choose a restaurant etc. It can be optimisation again and the feedback system has killed things we do not mention on website I agree with the author’s opinion. The author states that “increasingly, my sense of continuity and belonging derives from being electronically networked to the widely scattered people and places I care about”. Since we have gained virtual social communities and space, our “communities” are completely separated from our physical spaces. This is one of my interests in architectural history and theory that how we feel sense of identity and security which deeply associate with memorability of the city. My opinion is virtual social community make it weaken, though that we loose use of other senses, olfactory, hearing, taste, and sense of touch are very important to reconstruct our memories. This means that electronically networked spaces cannot create our sense of strong security and identity. We still need greater physical experiences.

 

The Driverless City – MIT report

I believe future automobiles will have a smart mechanism in some way anyhow as huge benefits which discussed in Reinventing the automobile. Even though the system so far have a lot problems including virus attacks, terrorists attacks, and privacy issues etc. For this reasons, I am not fan of central controlled system rather in favour of self-governance to protect privacy. By considering current report that our city population will increase significantly, we definitely have to optimise our public transport. Everything can be controlled by computer is a dangerous idea, I think yet like today’s pilot of airplane, it can be possible future. We just need to shift the training program to use automobile in this case that how we respond to emergency occasions like virus attacks etc.

To be honest, I did not expect the idea all automobiles will have connections and networks with other cars. I thought each car has one sensor to detect only neighbour cars. Having the same network with social network for automobile scale can be difficult as its primary use is different. Like Metabolism architecture failed in 1960s for the reasons that they believed they could treat the buildings the same as an industrial product. We need to consider about the scales to apply technology and ideas.

 

Me++

The points in the prologue

  1. mobile devices, the global wireless systems are liberating extension of my mobile bodies
  2. The two parts of Marconi’s system had evolved in opposite directions: the network has scaled up and single wireless link had exploded into a dense, global web of wireless infrastructure + the transmission and reception apparatus had dramatically scaled down
  3. The inexpensive, ubiquitous wireless connections were linking whole new classes of things into networks, nothing need be left unlinked
  4. code makes it possible to specify the relationships between physical causes and effects in terms of symbolically expressed mathematical functions, rather than by constructing specialised mechanical linkages or hydraulic systems hardwired electrical circuit, and the like.
  5. technology that so precisely guides my automobile to a specific location can also guide a missile or a smart bomb.

The points in the Chapter I:

  1. sometimes-defended boundary was once the decisive mechanism of political geography(it later become subway map, road map, and now internet connectivity most vivid icon of globalisation)
  2.  Our economy and national security are fully dependent upon information technology and the infrastructure
  3. Connectivity had become the defining characteristic of our twenty-first-century urban condition
  4. all networks have their particular paces and rhythms
  5. measurable and accountable money time is money
  6. both human and machine work and precisely construct the accelerating tempos and rhythms of the digital era
  7. Different places may simply run on their own clocks or their timekeeping system may be standardised and synchronised.
  8. Computers have added additional layers of complexity to the construction of time.

I love this book, by the way. The books, though, has a lack of background data and reference to convince the statement it looks like fiction. As a story, it’s interesting and I agree with opinion in general yet it would be great if I can gain more information about the background research.

Reinventing the Automobile : Personal Urban Mobility for the 21st Century, Mitchell, William J., Borroni-Bird, Christopher E., and Burns, Lawrence D..

  1. For over half a century, learning to drive an automobile has been seen as a rite of passage.
  2. In the last few years, another consumer product has achieved the same status: the mobile phone
  3. Vehicles will become network nodes on wheels; they will acquire, process, utilize, and communicate information that supports their individual functions and those of the mobility system as a whole; and they will be routed effi ciently from place to place much like packets of data in the Internet.
  4. There are two distinct but interrelated aspects to the Mobility Internet: networked computing and control for vehicles and social networking for their occupants

the problems for smart automobile systems are:

  1. The first and most obvious challenge is to provide suffi ciently fast, reliable, two-way connectivity to large numbers of geographically dispersed, moving automobiles.
  2. The second major challenge is that of scalability.
  3. The third challenge is that of massively distributed computation and control.
  4. Finally, there is the challenge of accomplishing all this while preserving locational privacy.

Chapter III

  1. The problem of maintaining optimal separation and speed is diffi cult to solve when it is left primarily to human drivers, since humans have limited information-processing capacity, are easily distracted, and react in psychologically complex and sometimes irrational ways.
  2. Future vehicles will approach what nature accomplishes, and in analogous ways, through use of greater sensing power, increased communications and processing bandwidth, and more precise actuation
  3. Where dedicated lanes or zones are used, smart vehicles could electronically identify and authenticate themselves prior to accessing them.
  4. If sensors and communications capability can be incorporated at key points alongside the road, such as at intersections or at troublesome geographic spots where ice is likely to form easily, then many accidents can be eliminated.
  5. enable many valuable location-based services.
  6. control can also support new, potentially fairer approaches to automobile insurance
  7. Connectivity and intelligence can not only enhance the vehicle’s awareness of the external environment, help to optimize traffi c flow, and reduce trip times, but also improve driver and passenger interaction with the vehicle through electronic customization.
  8. In the future, through the use of autonomous driving technology (as discussed in chapter 2), automobile users will be able to choose between driving and riding.
  9. Another benefit of autonomous driving, then, is safe extension of personal mobility to these drivers.
  10. It enables conversation and social interaction within its walls, but isolates the enclosed traveling group from others.
  11. light electric automobiles connected to the Mobility Internet will— much like today’s smart phones— serve as platforms for all manner of “apps” provided by innovative third-party developers.

Chapter VIII

  1. The overall result is a self-organizing personal urban mobility system that responds to varied needs while effectively minimizing demands on energy supply systems, urban space, vehicle fleets, and driver time.
  2. Within electronically managed, dynamically priced personal urban mobility systems, smart, connected, location-aware vehicles serve as interfaces to the city, much as the combination of a browser and a search engine serves as an interface to the World Wide Web.
  3. This implies a gradual transfer of information display from the external urban environment to automobile dashboards.
  4. Speed limit information is better displayed on speedometers than on static road signs so that it can be tailored to the vision capabilities and preferences of the driver and where it can be compared directly to current vehicle speed.

Chapter IX

  1. Reinventing the automobile now opens up the opportunity for cities to evolve in desirable new directions.
  2. where stability and agility are primary concerns, legs will have an advantage, but where mechanical effi ciency and speed are more important, and there is a large investment in flat surfaces, wheels will begin to dominate.
  3. In general, where stability and agility are primary concerns, legs will have an advantage, but where mechanical effi ciency and speed are more important, and there is a large investment in flat surfaces, wheels will begin to dominate.
  4. the provision of parking space has emerged as a crucial urban design issue.
  5. the need for automobile carriageway and parking space has encouraged the widespread paving of urban land, reducing opportunities for greenery and natural drainage and exacerbating urban heat island effects.
  6. we will see the increasing emergence of cities that provide high levels of personal mobility but are safer, quieter, cleaner, more livable, more energy efficient, and more sustainable than those of today.
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