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Gehl%Architects%Creating%Opportunities%to%Interact%%The$Human$Scale$0 Complex%and%vibrant%0 Diversity%and%sensory%experien...
RQ#:#How#can#one#use#digital#methods#and#tools#to#measure#urban#qualities#of#the#physical#city#landscape?##%This%overarchi...
RQ1%:%THEORY%0 What#are#the#relationships#between#Social,#Local#and#Mobile#technologies#and#how#do#they#help#measure#a#reA...
Mobile%0 The%Mobility%Turn%0  Smartphones%have%become%a%takenDforDgranted#part%of%our%relation%with%each%other%and%interla...
Social%0  The$Participatory$Turn$0  Social%communication%channels%have%made%it%easy%and%meaningful%for%people%to%publish%a...
Tweets of Paris
Local%0  The%increasing%pervasiveness%of%locationCaware%technologies%is%altering%the%perception%of%public%spaces%through%t...
Food of Frederiksberg
Vices of Vesterbro
Theoretical%Framing%
RQ2%:%METHOD%&%ANALYSIS%0 What#are#the#new#methods#and#tools#for#measuring#the#new#and#old#metrics#that#can#measure#people...
Questions%for%Analysis%
ES.1%Sydney%0 Client%:%UTS%0 Custom%Mobile%App%0 4%Active%Sensors%(M3)%0  8%participants%%0  830h.%0  100,000%logs%%%%%Loc...
LoMo%:%Metrics%of%Utility%Interpretive%0  Circulation$0  Mobility$Mix$$Direct%ReTlections%0  Lingering%Time/Location%0  Wi...
Social Endorsements
ES.2%Copenhagen%Twitter%Backchannel%0 #urbicsITU%0 @urbicsITU%0  41%Participants%0  99%Tweets%0  45%Photos%0  3%Social%Cha...
SoLo%:%Micro%Behaviors%0 Indirect%forms%of%AfTiliation%Metrics%of%‘Appreciation’%0  The$Post/Text$(Twitter)%0  The$Photo$(...
SoLo%:%Macro%Behaviors%0 Direct%forms%of%AfTiliation%Metrics%of%AfTinity%0  The$Like%(Facebook)%0  The$CheckDin$(Facebook)...
Reverberations%of%City%Noise%%%%•  AfTiliations%•  Relationships%•  Noise%Levels%•  Complimentary%•  The%Local%‘Tie’%•  Br...
Key%Findings%–%Mobile%(ES.1)%0  Where$people$go$>$Interventions:%where%and%when%to%intervene%to%reCdirect%or%stimulate%cir...
Micro%Findings–%Social%(ES.2)%Opportunities%IdentiTied:%0  Correlations%between%‘social%noise’%levels%and%physical%usage%o...
Macro%Findings–%Social%(ES.3)%0  The%‘like’%differs%signiTicantly%from%the%‘checkCin’%due%to%the%intention%of%the%message%...
Quality of Life & AffinityCity%Surveys:%0  Levels%of%cityCwide%afTiliation%from%social%media%differ%from%historical%and%in...
RQ3%:%DISCUSSION%0 What#are#the#implications#and#the#new#opportunities#that#emerge#from#the#ability#to#measure#urban#quali...
Concluding%Remarks%! Overall,%the%practice%of%zoomingCin%and%out%from%crowdsourced%data%of%utility%and%afTiliation%could%b...
Future%Perspectives%0  Connecting%ES.1%and%ES.2%0  Heatmapping%our%Data%0  PSPL%Survey%Assessment%0  Capturing%the%Interve...
Follow our project@roamingdata%urbic.tumblr.com%urbic@mail.com%
City Reverberations of Public Places and Urban Spaces
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City Reverberations of Public Places and Urban Spaces

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Investigating the digital mirror of a city via digital usage and affiliations from Social, Local and Mobile (SoLoMo).

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Transcript of "City Reverberations of Public Places and Urban Spaces"

  1. 1. Gehl%Architects%Creating%Opportunities%to%Interact%%The$Human$Scale$0 Complex%and%vibrant%0 Diversity%and%sensory%experience%Invitations$to$Use$Space$0 Private%–%Public%“Soft”$Metrics$0 Consider%the%perspective%of%the%study%0 Process%over%perception%%0 Integration%of%complexity%–%how%does%place%integrate%with%space%UTS Movement & Unscheduled Activity UTS Movement & Unscheduled ActivityGehl Architects1.0 /Assessment 1.0 /AssessmentA study of circulation has helped to illuminate howthe campus is experienced by students, and wheresignificant routes are.Circulation SnapshotBroadway Shopping Centre attractscirculation along broadway. This willbe challenged by the new Frasersdevelopment, and will probablydecrease significantly.McKee Street Child CareB10B02B01B06B05Harris St11,000/day9,000/day3,000/day5,000/day6,000/day9,000/day1,000/day3,000/day9,000/day5,000/dayGoods Line15,000/dayLibrary Entry*15,000/dayQuay Street15,000/dayBroadway21,000/dayEntry9,000/dayMarket CityBulga Ngurra Accom.Gumal Ngurang Accom.Broadway ShoppingCentral Railway Station along withthe associated bus stops is thedefinitive driver of pedestrian trafficon campus.Pedestrian Traffic on Broadwaydrops off significantly past Building01 & 02.Harris, The Goods Line &all significant carriers of sHarris Street is the locatipedestrian injuries & deatthe campus. The Goods Lhad problems with safetyStreet will increase in sigfor the city with the remoentertainment centre, buin significance for UTS onBuilding and the Chau ChBuilding are complete.The Library is the single largestdriver of the informal use of campus.Moving it will decrease visits to theHaymarket Campus by many studentgroups.This survey asked students to map their typical path when movingthrough UTS - 70 responses are mapped here. In addition to thiswe took spot counts over the course of one day, which are markedaccordingly. All pedestrians were counted - both students and non-students.The survey gives a snapshot of circulation, and how it defines theextent of the campus - essentially sitting within the triangle ofCentral Station, Market City and Broadway Shopping Centre.The busiest streets on campus are:01. Broadway (21,000/day)02. Goods Line (15,000/day)03. Quay Street at Haymarket (15,000/day)04. Library Entry (15,000/day*)05. Harris Street (11,000/day)*Library figures based on datacollected in a separate study.The Gin sunof seafew pbecauAlumni Green has very poor use.Frontages around are inactive, andthe low quality, at grade, grass is veryhot in the sun.Building 01 Podium ispredominantly a recreation space.Notable exceptions are the longstudy tables on higher levels that arewell used by students.The Avery wBuilding 02 atrium is a well-usedinformal learning space.The Avery ledgesand qBuilding 10 has a high qualityatrium with low usage.The cafe and GAC, while adjacent,have distinctly different uses.Informal Learning - One dot represents one personRelaxing & Recreation - One dot represents one personMapping is overlaid for 11:00, 14:00 & 18:00, for alllevels surveyed. Green outlines indicate study extent.major two non-scheduled activities on campus, and that they are bytheir nature different. Informal learning can be done for many hoursat a time and requires a particular set of resources to accomplish -usually internet, power, printing, solid tables and the like. Recreationon the other hand is often done opportunistically, whenever studentshave a spare 5 or 50 minutes. Recreational spaces need to be close butof high quality. Informal learning requires tools.From surveys documenting where people sit throughout the day andwhat they do in a variety of common spaces on campus, we can seethat places providing some support for study (tables, chairs,power) are already magnetic to students. Places where studying andsocializing combine are very attractive. An increase in the overlapbetween informal learning and recreation activities can make thecampus a more interesting and collaborative environment.A major point of note is that while Sydney has one of the best climatesin the world, relatively little activity (and even less informal learning)on campus occurs outside. This is a significant missed opportunity.LargeplacethroumanypredoThe ndemoof anyand inby sida spacstudeallowone oon caUNSCHEDULED ACTIVITYBROADWAY CAMPUSUNSDAB
  2. 2. RQ#:#How#can#one#use#digital#methods#and#tools#to#measure#urban#qualities#of#the#physical#city#landscape?##%This%overarching%question%can%be%broken%down%into%three%subCquestions:%%%%0  What#are#the#relationships#between#Social,#Local#and#Mobile#technologies#and#how#do#they#help#measure#a#reAlection#of#urban#qualities?#%0  What#are#the#new#methods#and#tools#for#measuring#the#new#and#old#metrics#that#can#measure#people’s#usage#of,#and#their#relationship#with,#their#city?%0  What#are#the#implications#and#the#new#opportunities#that#emerge#from#the#ability#to#measure#urban#qualities#digitally?%
  3. 3. RQ1%:%THEORY%0 What#are#the#relationships#between#Social,#Local#and#Mobile#technologies#and#how#do#they#help#measure#a#reAlection#of#urban#qualities?%
  4. 4. Mobile%0 The%Mobility%Turn%0  Smartphones%have%become%a%takenDforDgranted#part%of%our%relation%with%each%other%and%interlaced%with%our%activities%0  Interfaces%are%connecting%smartphones,%users,%and%public%space%closely%together.%%0  Smartphones%have%unlocked%a%potential%for%dynamic%coordination%of%more%activities%with%more%people%in%more%ways%
  5. 5. Social%0  The$Participatory$Turn$0  Social%communication%channels%have%made%it%easy%and%meaningful%for%people%to%publish%and%share%information.%(Vatrapu,%2012)%%0  Social$Relevance%0  The%criteria%for%Tiltering%and%consuming%information%in%accordance%with%the%relationship%between%humans%and%information.%(Alfort,%2011)%%%0  An%endorsement%from%someone%you%know%carries%more%weight%than%a%recommendation%from%someone%outside%your%network%(Cialdini%&%Goldstein,%2004)%%! An%invisible%layer%of%“social%noise”%thus%surrounds%our%streets%and%neighborhoods%when%people%like%reCact%online%to%the%shops,%parks,%schools,%squares%and%almost%anything%that%occupies%a%physical%space.%%
  6. 6. Tweets of Paris
  7. 7. Local%0  The%increasing%pervasiveness%of%locationCaware%technologies%is%altering%the%perception%of%public%spaces%through%the%proliferation%of%locationCspeciTic%digital%information.%%0  Locations%acquire%relevance%and%reshape%social%and%spatial%interactions%through%increased%use%of%locationCaware%technologies:%%0  people%check%into%locations,%%0  they%have%their%locations%tracked,%%0  they%attach%information%to%locations,%and%%0  they%even%“create”%new%locations.%(de%Souza%e%Silva%A.%a.,%2012)%0  Local$Relevance$:$$The%popularization%of%locationCaware%technologies%contributes%to%the%changing%meaning%of%locations%via%contextCaware%relevance%criteria.%(TamineCLechani,%2010)%
  8. 8. Food of Frederiksberg
  9. 9. Vices of Vesterbro
  10. 10. Theoretical%Framing%
  11. 11. RQ2%:%METHOD%&%ANALYSIS%0 What#are#the#new#methods#and#tools#for#measuring#the#new#and#old#metrics#that#can#measure#people’s#usage#of,#and#their#relationship#with,#their#city?%
  12. 12. Questions%for%Analysis%
  13. 13. ES.1%Sydney%0 Client%:%UTS%0 Custom%Mobile%App%0 4%Active%Sensors%(M3)%0  8%participants%%0  830h.%0  100,000%logs%%%%%Location%Data%0  400,000%logs%%%%%%%%%%%%%%%%%%%%%%%WiCFi%Data%
  14. 14. LoMo%:%Metrics%of%Utility%Interpretive%0  Circulation$0  Mobility$Mix$$Direct%ReTlections%0  Lingering%Time/Location%0  WiDFi$Exposure$(New!)%0  Stationary$Ratio$(New!)%SYDNEYMETRO92%19%OF STUDENTSLIVE WITHIN5KMS OFCAMPUS12%WALK1%CYCLE71%PUBLIC TRANSPORT16%DRIVE81%OF STUDENTSLIVE FURTHERTHAN 5KMSFROM CAMPUS25,821AUSTRALIANSTUDENTSIN 2011NSW6%AUS2%Twenty-eight percent of UTS students are international.Observational analysis suggests that international students tend to bemuch heavier campus users, relying on it for informal learning, socialinteraction and relaxing. These students will also tend to live withinwalking and cycling distance of campus as the trip to Australia wasmost likely made to study. This allows them to include their home ontheir ‘personal campus map’.Of the Australian students, 92% come from the Sydney metropolitanarea. Survey data suggests that a high proportion of Australianstudents remain living at home when they study as they are too faraway (more than 5kms) to make multiple journeys to university in aday, and need to rely on public transport or a car for the journey. Thismeans these students are ‘captive’ on campus between classes.Despite this distance, 84% of students use sustainable mobility. Thismakes UTS one of the major sustainable transport drivers in Sydney.Sources: UTS internal & Future Student Services Survey.HOUSING AND MODAL SPLITGehl#Architects#UTS#Report#
  15. 15. Social Endorsements
  16. 16. ES.2%Copenhagen%Twitter%Backchannel%0 #urbicsITU%0 @urbicsITU%0  41%Participants%0  99%Tweets%0  45%Photos%0  3%Social%Channels%0  11%Social%Media%Tools%
  17. 17. SoLo%:%Micro%Behaviors%0 Indirect%forms%of%AfTiliation%Metrics%of%‘Appreciation’%0  The$Post/Text$(Twitter)%0  The$Photo$(Instagram)%Public%Broadcast%Mediums%0  LocationCBased%0  ‘Noisier’%0  PeopleCcentric%%
  18. 18. SoLo%:%Macro%Behaviors%0 Direct%forms%of%AfTiliation%Metrics%of%AfTinity%0  The$Like%(Facebook)%0  The$CheckDin$(Facebook)%Private%Broadcast%Medium%0  PlaceCBased%(The%Tie)%0  NetworkCCentric%0  Direct%Signals%
  19. 19. Reverberations%of%City%Noise%%%%•  AfTiliations%•  Relationships%•  Noise%Levels%•  Complimentary%•  The%Local%‘Tie’%•  Broadcast%Signals%
  20. 20. Key%Findings%–%Mobile%(ES.1)%0  Where$people$go$>$Interventions:%where%and%when%to%intervene%to%reCdirect%or%stimulate%circulation%of%people%0  Where$people$stay$>$‘Sticky’$Campus$:%where%students%stay%for%formal%learning%and%socialization%0  The$Difference$:$Classify$vs.$Time$&$Space$:%time%spent%at%a%given%building%location%in%a%much%wider%scope,%time%frame%and%degree%of%accuracy%%0  New$:$Propensity$to$Stay/Study:%analyze%a%WiCFi%zone%as%an%urban%space%%! The$visual$mapping$of$digital$user$traf4ic$can$help$inform$decisions$regarding$future$utility$of$public$space$
  21. 21. Micro%Findings–%Social%(ES.2)%Opportunities%IdentiTied:%0  Correlations%between%‘social%noise’%levels%and%physical%usage%of%a%given%public%space.%(B%Huberman,%2007)%0  Predictability%of%positive%polarity%#place%to%be%“successful%in%the%future”%(B%Huberman,%2007)%%0  Mapping%of%posts%and%photos%can%help%to%pinpoint%areas%of%heightened%appreciation%and%what%individual%features%or%topics%are%captured%the%most.%0  Additional%discovery%of%language%topics%associated%with%a%given%#place%%! Samplings$of$‘social$noise’$can$be$repeated$to$measure$differences$in$these$opportunities$over$time.$
  22. 22. Macro%Findings–%Social%(ES.3)%0  The%‘like’%differs%signiTicantly%from%the%‘checkCin’%due%to%the%intention%of%the%message%being%broadcast,%by%attaching%one’s%afTinity%directly%without%loyally%marking%one’s%territory.%0  AfTinity%behaviors%differ%according%public%space%categories%from%global%data%originating%from%the%place%rather%than%the%user.%%%! Examining$differences$in$categories$can$help$urbanists$learn$how$people$endorse$speci4ic$features$of$these$public$places.$$$! By$understanding$over@represented$and$under@represented$behaviors$in$broad$categories$of$public$space,$one$is$better$equipped$when$evaluating$the$relative$success$of$a$speci4ic$intervention.$
  23. 23. Quality of Life & AffinityCity%Surveys:%0  Levels%of%cityCwide%afTiliation%from%social%media%differ%from%historical%and%indiscriminate%geographic%lines%of%residency%0  There%is%a%slightly%stronger%correlation%between%‘likes’%and%‘checkCins’%at%the%city%level.%%However%cityCwide%‘checkCins’%are%more%likely%a%behavior%attributed%to%tourists.%! Global$QoL$benchmarks$could$incorporate$public$measures$of$af4inity$&$appreciation%
  24. 24. RQ3%:%DISCUSSION%0 What#are#the#implications#and#the#new#opportunities#that#emerge#from#the#ability#to#measure#urban#qualities#digitally?%Mobile$Measurements$:$Direct$ReRlections$"  Ability%to%transcend%time%and%space%#  Cost,%access,%motivation%barriers%%%Social$Measurements$:$Indirect$ReRlections$"  Goes%beyond%tracking%simply%where%people%go%and%stay,%but%also%track%what%they%more%speciTically%do%(checkCin)%at%a%given%location,%what%they%say%(post)%and%even%what%they%think%(like).%"  Ability%to%do%so%instantly,%cheaply,%and%repetitively,%as%many%times%as%necessary%before,%during%and%after%interventions%by%urban%stakeholders.%#  Human%means%for%interpretation,%and%willingness%to%do%so%%%%%
  25. 25. Concluding%Remarks%! Overall,%the%practice%of%zoomingCin%and%out%from%crowdsourced%data%of%utility%and%afTiliation%could%be%leveraged%by%urban%researchers%on%a%regular%basis%to%identify%new%opportunities%for%peopleCcentric%place%creation.%%%! The%most%illuminating%SoLoMo%metric%is:%%Lingering$:%Stays%:%CheckDIns$# Digitally%ReTlective%Urban%Qualities%:%an%Indirect%ReTlection%of%QoL%
  26. 26. Future%Perspectives%0  Connecting%ES.1%and%ES.2%0  Heatmapping%our%Data%0  PSPL%Survey%Assessment%0  Capturing%the%Intervention%%0  Mercer%Infrastructure%Survey%0  ‘Desire%Lines’%0  Digital%Dérivée%Investigation%0  Behaviors%of%Tourists%vs.%Locals%0  Mobile%&%Social%Media%0  Community%Feedback%Loops%0  Geographical%Distance%Sentiment%Study%Eric#Fisher#Tourist#v#Locals#Flickr#Set#
  27. 27. Follow our project@roamingdata%urbic.tumblr.com%urbic@mail.com%
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