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Oportunidades	
  de	
  
innovación	
  en	
  la	
  
movilidad	
  de	
  Des4nos	
  
Turís4cos	
  Inteligentes	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
Aurkene	
  Alzua	
  
Execu've	
  Director	
  
aurkenealzua@tourgune.org	
  
	
  
	
  
2	
   Source:	
  European	
  Commission	
  
GLOBAL	
  
CONTEXT	
  
	
  
	
  
New	
  mobili'es	
  	
  
	
  
	
  
New	
  
Framework	
  
compe''on	
  
	
  
	
  
	
  
3	
  
•  93.000	
  daily	
  flights	
  all	
  over	
  the	
  world	
  
•  50	
  millions	
  p/km	
  annually	
  in	
  the	
  EU	
  (mari'me)	
  
•  400	
  millions	
  p/km	
  annually	
  in	
  the	
  EU	
  (railway)	
  
•  500	
  millions	
  de	
  p/km	
  annually	
  in	
  the	
  UE	
  (bus)	
  
GLOBAL	
  
CONTEXT	
  
	
  
	
  
New	
  mobili'es	
  	
  
	
  
	
  
New	
  
Framework	
  
compe''on	
  
	
  
	
  
	
  
4	
  
GLOBAL	
  
CONTEXT	
  
	
  
	
  
New	
  mobili'es	
  	
  
	
  
	
  
New	
  
Framework	
  
compe''on	
  
	
  
	
  
City-­‐Regions	
  
5	
  
GLOBAL	
  
CONTEXT	
  
	
  
	
  
New	
  mobili'es	
  	
  
	
  
	
  
New	
  
Framework	
  
compe''on	
  
	
  
	
  
City-­‐Regions	
  
6	
  
GLOBAL	
  
CONTEXT	
  
	
  
	
  
New	
  mobili'es	
  	
  
	
  
	
  
New	
  
Framework	
  
compe''on	
  
	
  
	
  
City-­‐Regions	
  
•  The	
  popula'on	
  of	
  people	
  connected	
  to	
  the	
  Internet	
  
is	
  growing	
  150%	
  faster	
  than	
  world	
  popula'on	
  	
  
THE	
  WAY	
  WE	
  ACCESS	
  TO	
  THE	
  INTERNET	
  HAS	
  CHANGED	
  	
  
GLOBAL	
  
CONTEXT	
  
	
  
	
  
CYBER-­‐
PHYSICAL	
  
CONVERGENCE	
  
	
  
	
  
New	
  
Framework	
  
compe''on	
  
	
  
	
  
City-­‐Regions	
  
•  The	
  popula'on	
  of	
  people	
  connected	
  to	
  the	
  Internet	
  
is	
  growing	
  150%	
  faster	
  than	
  world	
  popula'on	
  	
  
THE	
  WAY	
  WE	
  ACCESS	
  TO	
  THE	
  INTERNET	
  HAS	
  CHANGED	
  	
  
•  87%	
  of	
  travellers	
  use	
  the	
  Internet	
  for	
  travel	
  planning	
  
•  62%	
  researched	
  an	
  upcoming	
  trip	
  
•  43%	
  read	
  reviews	
  from	
  other	
  travellers	
  
•  31%	
  watched	
  travel	
  video	
  
	
  
One	
  billion	
  of	
  the	
  world	
  popula'on	
  (1/7)	
  is	
  using	
  a	
  Smartphone.	
  
•  70%	
  changed	
  their	
  face	
  book	
  status	
  while	
  on	
  holidays	
  
•  52%	
  changed	
  their	
  original	
  travel	
  plans	
  
•  50%	
  of	
  travel	
  companies	
  agreed	
  that	
  bookings	
  were	
  coming	
  
from	
  social	
  media	
  
•  46%	
  checked	
  in	
  loca'on	
  
•  33%	
  changed	
  their	
  hotel	
  
•  85%	
  of	
  leisure	
  travellers	
  use	
  smartphones	
  
•  30%	
  used	
  mobile	
  apps	
  to	
  find	
  a	
  hotel	
  
•  29%	
  used	
  mobile	
  apps	
  to	
  find	
  air	
  deals	
  
•  15%	
  have	
  downloaded	
  apps	
  specific	
  for	
  their	
  coming	
  holidays	
  
	
  
TECHNOLOGY-­‐MEDIATED	
  
LIFEWORLD	
  
12	
  
•  The	
  present	
  'me	
  has	
  been	
  recognized	
  as	
  an	
  technology	
  mediated	
  
world,	
  with	
  compu'ng	
  and	
  communica'on	
  en''es	
  interac'ng	
  among	
  
themselves,	
  as	
  well	
  as	
  with	
  users.	
  
•  Real-­‐world	
  components	
  interact	
  with	
  cyberspace	
  thus	
  driving	
  towards	
  
the	
  Cyber-­‐Physical	
  World	
  (CPW)	
  convergence,	
  adap'ng	
  human	
  
behaviour	
  and	
  social	
  dynamics	
  (Con'	
  et	
  al.,	
  2012)	
  
.	
  
	
  
A	
  New	
  World	
  is	
  emerging	
  as	
  a	
  Smart	
  World,	
  converging	
  the	
  
Cyber,	
  Social,	
  and	
  Physical	
  Domains.	
  
Business	
  and	
  des'na'ons	
  need	
  the	
  wholly	
  new	
  development	
  principles,	
  
policies,	
  processes,	
  and	
  objec'ves:	
  sustainable	
  world	
  strategies,	
  
comprehensive	
  planning,	
  integrated	
  models,	
  and	
  globally	
  effec've	
  
solu'ons..	
  
15	
  
World	
  will	
  be	
  different	
  in	
  2020	
  
year	
  
The	
  way	
  people	
  will	
  travel,	
  the	
  ci'es,	
  the	
  territory,	
  the	
  interac'ons,	
  the	
  services	
  and	
  
the	
  companies	
  will	
  be	
  different	
  
	
  
17	
  
In	
  the	
  context	
  of	
  the	
  growth	
  of	
  the	
  mobility	
  importance,	
  ci'es	
  will	
  
reach	
  a	
  bigger	
  prominence.	
  
	
  
The	
  key	
  territories	
  will	
  be	
  the	
  ones	
  which	
  will	
  be	
  able	
  to	
  design	
  
places	
  in	
  order	
  to	
  become	
  the	
  ideal	
  scene	
  for	
  new	
  life	
  style.	
  
	
  
In	
  these	
  design	
  and	
  building	
  processes	
  of	
  the	
  territory	
  	
  or	
  
Placemaking,	
  it	
  is	
  about	
  the	
  meaning	
  and	
  importance	
  of	
  the	
  places	
  
the	
  ci'zens	
  and	
  users	
  have.	
  
	
  
Places	
  that	
  facilitate	
  the	
  undertaking	
  	
  and	
  human	
  growth.	
  
GLOBAL	
  
CONTEXT	
  
	
  
	
  
New	
  mobili'es	
  	
  
	
  
	
  
New	
  
Framework	
  
compe''on	
  
	
  
	
  
City-­‐Regions	
  
18	
  
	
  
GLOBAL	
  CONTEXT	
  
	
  
	
  
New	
  mobili4es	
  	
  
	
  
	
  
New	
  Framework	
  
compe''on	
  
	
  
	
  
City-­‐Regions	
  
	
  
	
  
	
  
	
  
•  New	
  Tracking	
  Techologies	
  
•  Augmented	
  Tracking	
  Techologies	
  
•  Not	
  only	
  log	
  the	
  posi'on	
  
•  Detec'ng	
  the	
  ac'on	
  
Log	
  posi'on	
  
Log	
  “cultural	
  space”	
  
Log	
  “consump'on”	
  
…	
  
GLOBAL	
  
CONTEXT	
  
	
  
	
  
CYBER-­‐
PHYSICAL	
  
CONVERGENCE	
  
	
  
	
  
New	
  
Framework	
  
compe''on	
  
	
  
	
  
City-­‐Regions	
  
20	
  
• People	
   are	
   empowered	
   to	
   express,	
   share,	
   create,	
   consume,	
   and	
  
organize	
  informa'on	
  in	
  a	
  new	
  manner	
  
	
  
	
  
• The	
  advance	
  of	
  internet	
  and	
  the	
  new	
  technology-­‐mediated	
  world,	
  	
  has	
  
significantly	
  changed	
  and	
  even	
  transformed	
  the	
  structure	
  of	
  tourism	
  
value	
  chain.	
  
	
  
• It	
  not	
  only	
  affects	
  the	
  choices	
  available	
  to	
  the	
  consumer,	
  but	
  also	
  the	
  
business	
  models	
  and	
  marke'ng	
  strategies	
  adopted	
  by	
  the	
  various	
  
channel	
  par'cipants,	
  stakeholders.	
  
	
  
	
  
	
  
GLOBAL	
  
CONTEXT	
  
	
  
	
  
CYBER-­‐
PHYSICAL	
  
CONVERGENCE	
  
	
  
	
  
New	
  
Framework	
  
compe''on	
  
	
  
	
  
City-­‐Regions	
  
2
1	
  
A	
  Tourism	
  Des+na+on	
  is	
  said	
  to	
  be	
  Smart	
  when	
  it	
  makes	
  intensive	
  use	
  
of	
  the	
  technological	
  infrastructure	
  provided	
  by	
  the	
  Smart	
  City	
  in	
  order	
  
to:	
  (i)	
  enhance	
  the	
  tourism	
  experience	
  of	
  visitors	
  by	
  making	
  them	
  aware	
  
of	
  both	
  local	
  and	
  tourism	
  services	
  and	
  products	
  available	
  to	
  them	
  at	
  the	
  
des@na@on	
  and	
  (ii)	
  by	
  empowering	
  des@na@on	
  management	
  
organiza@ons,	
  local	
  ins@tu@ons	
  and	
  tourism	
  companies	
  to	
  make	
  their	
  
decisions	
  and	
  take	
  ac@ons	
  based	
  upon	
  the	
  data	
  produced	
  in	
  within	
  the	
  
des@na@on,	
  gathered,	
  managed	
  and	
  processed	
  by	
  means	
  of	
  the	
  
technology	
  infrastructure	
  	
  
A new
and exciting
approach
to tourism
research.
GUNE
22	
  
A new	
  and	
  
exci4ng	
  approach	
  
to	
  tourism	
  
research	
  and	
  
human	
  mobility	
  in	
  
the	
  new	
  Age	
  of	
  
Social	
  Science
•  Measurement	
  tools	
  are	
  strongly	
  linked	
  to	
  technological	
  development	
  
•  There	
  is	
  a	
  need	
  to	
  develop	
  a	
  more	
  efficient	
  ways	
  of	
  collec4ng	
  data	
  
•  The	
  depth	
  of	
  the	
  measurement	
  depends	
  on	
  the	
  available	
  technology	
  
•  Macro	
  Level	
  (1980-­‐2000)	
  
•  Examines	
  a	
  discrete	
  secuence	
  of	
  movement	
  among	
  tourist	
  loca'ons,	
  	
  
loca'ons	
  which	
  can	
  be	
  some	
  distance	
  apart	
  
•  Micro	
  Level	
  (2000-­‐un4l	
  now)	
  
•  Movement	
  is	
  seen	
  as	
  a	
  con4nuous	
  process	
  
•  The	
  sequence	
  of	
  movements	
  can	
  be	
  represented	
  accurately	
  as	
  a	
  
collec'on	
  of	
  spa'al	
  points	
  
 
Observa'onal	
  methods	
  
• Hartman	
  1988	
  
No	
  Observacional	
  Methods	
  
• Pearce	
  1988	
  
• Debagger	
  1991	
  
• Fenell	
  1996	
  
• Thornton	
  1997	
  
Tracking	
  Technologies	
  
• McKercher	
  2004	
  
• Lau	
  and	
  McKercher	
  2007	
  
• Shoval	
  2007	
  
• Shoval	
  and	
  Isaacson	
  2012	
  
• …	
  
Open	
  Data	
  
1980	
   1990	
   2000	
   2012	
  
Macro	
  analysis	
   Micro	
  Analysis	
  
McKercher	
  2005	
  
Rein	
  Ahas	
  2006/07	
  
Shoval	
  	
  2009	
  
No	
  secuences	
   Secuences	
  
Mul'day	
  
Shova	
  2008	
  
A.A	
  Lew	
  2002	
  
Xia	
  2010-­‐11	
  
Ling	
  Chen	
  2010	
  
A.O’Connor	
  2005	
  
Gigi	
  Lay	
  2006	
  
….	
  
	
  
	
  
	
  
	
  
	
  
New	
  technological	
  paradigm	
  
 
Observa'onal	
  methods	
  
• Hartman	
  1988	
  
No	
  Observacional	
  Methods	
  
• Pearce	
  1988	
  
• Debagger	
  1991	
  
• Fenell	
  1996	
  
• Thornton	
  1997	
  
Tracking	
  Technologies	
  
• McKercher	
  2004	
  
• Lau	
  and	
  McKercher	
  2007	
  
• Shoval	
  2007	
  
• Shoval	
  and	
  Isaacson	
  2012	
  
• …	
  
Open	
  Data	
  
• New	
  Paradigm	
  
1980	
   1990	
   2000	
   2012	
  
Macro	
  analysis	
   Micro	
  Analysis	
  
McKercher	
  2005	
  
Rein	
  Ahas	
  2006/07	
  
Shoval	
  	
  2009	
  
No	
  secuences	
   Secuences	
  
Mul'day	
  
Shova	
  2008	
  
A.A	
  Lew	
  2002	
  
Xia	
  2010-­‐11	
  
Ling	
  Chen	
  2010	
  
A.O’Connor	
  2005	
  
Gigi	
  Lay	
  2006	
  
….	
  
	
  
	
  
	
  
	
  
	
  
Tradi'onal	
  technics	
  
	
  
•  Research	
  focused	
  primarily	
  on	
  the	
  flow	
  of	
  visitors	
  between	
  
des'na'ons	
  
•  Macro	
  level	
  
•  Few	
  subna'onal	
  informa'on	
  	
  
•  Space-­‐'me	
  diaries	
  
•  Systema'c	
  recording	
  of	
  space	
  and	
  'me	
  
•  Requires	
  the	
  individual	
  ac've	
  par'cipa'on	
  in	
  the	
  data	
  
capture	
  process.	
  
•  Subjec4ve	
  process	
  
 
Observa'onal	
  methods	
  
• Hartman	
  1988	
  
No	
  Observacional	
  Methods	
  
• Pearce	
  1988	
  
• Debagger	
  1991	
  
• Fenell	
  1996	
  
• Thornton	
  1997	
  
Tracking	
  Technologies	
  
• McKercher	
  2004	
  
• Lau	
  and	
  McKercher	
  2007	
  
• Shoval	
  2007	
  
• Shoval	
  and	
  Isaacson	
  2012	
  
• …	
  
Open	
  Data	
  
1980	
   1990	
   2000	
   2012	
  
Macro	
  analysis	
   Micro	
  Analysis	
  
McKercher	
  2005	
  
Rein	
  Ahas	
  2006/07	
  
Shoval	
  	
  2009	
  
No	
  secuences	
   Secuences	
  
Mul'day	
  
Shova	
  2008	
  
A.A	
  Lew	
  2002	
  
Xia	
  2010-­‐11	
  
Ling	
  Chen	
  2010	
  
A.O’Connor	
  2005	
  
Gigi	
  Lay	
  2006	
  
….	
  
	
  
	
  
	
  
	
  
	
  
Towards	
  a	
  new	
  paradigm	
  
	
  
•  The	
  technology	
  advances	
  in	
  the	
  field	
  of	
  
digital	
  systems,	
  such	
  as	
  GPS	
  tracking	
  
devices,	
  have	
  opened	
  a	
  new	
  research	
  
field	
  within	
  the	
  tourism	
  discipline.	
  
•  Micro	
  level	
  
•  GPS	
  devices,	
  combined	
  with	
  space-­‐'me	
  
analysis	
  techniques	
  facilitates	
  a	
  be`er	
  
understanding	
  of	
  the	
  visitors’	
  behaviour	
  
diversity.	
  
New	
  technological	
  paradigm	
  
 
Observa'onal	
  methods	
  
• Hartman	
  1988	
  
No	
  Observacional	
  Methods	
  
• Pearce	
  1988	
  
• Debagger	
  1991	
  
• Fenell	
  1996	
  
• Thornton	
  1997	
  
Tracking	
  Technologies	
  
• McKercher	
  2004	
  
• Lau	
  and	
  McKercher	
  2007	
  
• Shoval	
  2007	
  
• Shoval	
  and	
  Isaacson	
  2012	
  
• …	
  
Open	
  Data	
  
1980	
   1990	
   2000	
   2012	
  
Macro	
  analysis	
   Micro	
  Analysis	
  
McKercher	
  2005	
  
Rein	
  Ahas	
  2006/07	
  
Shoval	
  	
  2009	
  
No	
  secuences	
   Secuences	
  
Mul'day	
  
Shova	
  2008	
  
A.A	
  Lew	
  2002	
  
Xia	
  2010-­‐11	
  
Ling	
  Chen	
  2010	
  
A.O’Connor	
  2005	
  
Gigi	
  Lay	
  2006	
  
….	
  
	
  
	
  
	
  
	
  
	
  
Secuence	
  Aligment	
  
•  Method	
  of	
  sequence	
  alignment	
  as	
  a	
  tool	
  for	
  analyzing	
  
the	
  sequen'al	
  aspects	
  within	
  the	
  temporal	
  and	
  spa'al	
  
dimensions	
  of	
  human	
  ac'vi'es.	
  
Space	
  Time	
  simula'on	
  Models	
  
•  Agent-­‐based	
  simulators	
  allow	
  managers	
  to	
  develop	
  
spa'ally	
  explicit	
  simula'ons	
  of	
  current	
  tourist	
  
movement	
  panerns	
  	
  
	
  
Con'nuous	
  route	
  panern	
  mining	
  
•  This	
  algorithm	
  can	
  tolerate	
  the	
  different	
  disturbances	
  in	
  
real	
  routes	
  and	
  extract	
  the	
  frequent	
  panerns	
  
Semi-­‐Markov	
  
•  Semi-­‐Markov	
  processes	
  can	
  be	
  used	
  to	
  predict	
  the	
  
probability	
  of	
  movement	
  panerns,	
  given	
  that	
  we	
  know	
  
the	
  'me	
  spent	
  at	
  each	
  anrac'on	
  	
  
	
  
	
  
•  It	
  is	
  more	
  important	
  than	
  ever	
  to	
  measure	
  in	
  order	
  to	
  MODEL	
  and	
  
ANTICIPATE,	
  so	
  that	
  we	
  can	
  adjust	
  bener	
  the	
  new	
  compe''on	
  
•  Macro	
  
•  Micro	
  
•  We	
  should	
  measure	
  performance	
  because	
  it	
  might	
  be	
  helpful	
  to	
  
achieve	
  specific	
  managerial	
  purposes	
  or	
  policies:	
  	
  
•  to	
  evaluate,	
  	
  
•  monitor,	
  	
  
•  budget,	
  	
  
•  mo'vate,	
  	
  	
  
•  celebrate,	
  	
  
•  learn	
  	
  
•  and	
  improve.	
  
	
  
	
  
	
  
APPTRACK	
  aims	
  to	
  measure,	
  analyze,	
  
monitor	
  visitors	
  mobility	
  	
  
	
  
¿Cómo	
  funciona?	
  
Mobile	
  SDK	
  module	
   GIS	
  server	
   Analy4c	
  web	
  module	
  
31	
  
apptrack	
  
	
   •  GIS	
  apptrack	
  visualiza4on	
  
•  Heat	
  Maps	
  
•  Cluster	
  Maps	
  
32	
  
apptrack	
  
	
   •  Big	
  Data	
  
•  Data	
  filtering	
  in	
  Real	
  Time	
  
33	
  
apptrack	
  
•  Compara4ve	
  visualiza4on	
  of	
  different	
  moments	
  of	
  the	
  day	
  
34	
  
It	
  is	
  able	
  to	
  track	
  users	
  anonymously	
  and	
  record	
  different	
  aspects	
  of	
  
their	
  space	
  and	
  services	
  consump'on	
  panerns	
  
35	
  
Results	
  can	
  be	
  filtered	
  and	
  visualized	
  in	
  different	
  ways	
  
36	
  
Semana	
  Grande	
  
37	
  
38	
  
apptrack	
  
	
   •  Data	
  visualiza4on	
  
•  Repor'ng	
  in	
  real	
  'me	
  
39	
  
apptrack	
  
	
   •  Data	
  visualiza4on	
  
•  Repor'ng	
  in	
  real	
  'me	
  
Case	
  Study	
  July	
  –	
  Sep	
  2013	
  
•  Apptrack	
  embedded	
  into	
  a	
  tourism	
  app	
  of	
  Donos'a-­‐San	
  
Sebas'án	
  
•  More	
  than	
  175.000	
  records	
  stored	
  
•  18	
  geographical	
  areas	
  iden'fied	
  
•  Posi'on	
  data	
  stored	
  every	
  2	
  min	
  
Descrip4ve	
  sta4s4cs	
  of	
  the	
  data	
  stored	
  
•  Sample	
  size:	
  622	
  
•  247	
  users	
  with	
  more	
  than	
  15	
  geo-­‐points	
  (30	
  min)	
  
•  205	
  users	
  with	
  more	
  than	
  30	
  geo-­‐points	
  (1	
  h)	
  
•  183	
  users	
  with	
  more	
  than	
  60	
  geo-­‐points	
  (2	
  h)	
  
•  159	
  users	
  with	
  more	
  than	
  120	
  geo-­‐points	
  (4	
  h)	
  
•  61%	
  of	
  total	
  users	
  have	
  less	
  than	
  15	
  points	
  
•  388	
  users	
  without	
  any	
  points	
  within	
  Donos'a	
  –	
  San	
  Sebas'an	
  
0	
  
5	
  
10	
  
15	
  
20	
  
25	
  
8/1/2013	
  0:00	
  
8/2/2013	
  0:00	
  
8/3/2013	
  0:00	
  
8/4/2013	
  0:00	
  
8/5/2013	
  0:00	
  
8/6/2013	
  0:00	
  
8/7/2013	
  0:00	
  
8/8/2013	
  0:00	
  
8/9/2013	
  0:00	
  
8/10/2013	
  0:00	
  
8/11/2013	
  0:00	
  
8/12/2013	
  0:00	
  
8/13/2013	
  0:00	
  
8/14/2013	
  0:00	
  
8/15/2013	
  0:00	
  
8/16/2013	
  0:00	
  
8/17/2013	
  0:00	
  
8/18/2013	
  0:00	
  
8/19/2013	
  0:00	
  
8/20/2013	
  0:00	
  
8/21/2013	
  0:00	
  
8/22/2013	
  0:00	
  
8/23/2013	
  0:00	
  
8/24/2013	
  0:00	
  
8/25/2013	
  0:00	
  
8/26/2013	
  0:00	
  
8/27/2013	
  0:00	
  
8/28/2013	
  0:00	
  
8/29/2013	
  0:00	
  
8/30/2013	
  0:00	
  
8/31/2013	
  0:00	
  
usuarios	
  
Number	
  of	
  ac4ve	
  users	
  in	
  August	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
•  49	
  users	
  in	
  first	
  week	
  
•  105	
  users	
  second	
  week	
  
•  118	
  users	
  in	
  third	
  week	
  	
  (Semana	
  Grande)	
  
•  72	
  users	
  fourth	
  week	
  
•  Physical	
  study	
  of	
  mobility	
  by	
  spa'otemporal	
  analysis	
  
	
  
	
  
	
  
	
  
	
  
•  Study	
  of	
  the	
  physiology	
  of	
  mobility	
  through	
  seman'c	
  
enrichment	
  of	
  spa'otemporal	
  data	
  
Lat/long	
  data	
  
Analysis	
  
Spa4o-­‐
temporal	
  
ac4vity	
  
detec4on	
  
LOPD	
  
Narra4ves	
  
Interpreta4on	
  
POI	
  descrip'on	
  
POI	
  metadata	
  (prices,	
  informa'on,	
  descrip'on,	
  
opennin	
  hours	
  	
  )	
  
Contextual	
  augmented	
  informa'on	
  (meaning	
  
of	
  the	
  'me,	
  weather	
  real	
  'me	
  informa'on,	
  
transport	
  real	
  'me	
  informa'on	
  )	
  
Emo'onal	
  state,	
  cogni'on	
  and	
  behaviour	
  	
  
Lat/Lng	
  and	
  cartographic	
  	
  
Seman'cally	
  enriched	
  data	
  
Plain	
  Data	
  
Personal	
  inference	
  domain	
  
No	
  Real	
  Time	
  Real	
  Time	
  
46	
  
ACTIVATION	
  OF	
  THE	
  RESOURCES	
  IN	
  THE	
  CITY	
  	
  
MULTI-­‐PROFILE	
  
CONSUM	
  OF	
  THE	
  TERRITORY	
  
47	
  
ACTIVATION	
  OF	
  THE	
  RESOURCES	
  IN	
  THE	
  CITY	
  	
  
MULTI-­‐PROFILE	
  
CONSUM	
  OF	
  THE	
  TERRITORY	
  
	
  
48	
  
ACTIVATION	
  OF	
  THE	
  RESOURCES	
  IN	
  THE	
  CITY	
  	
  
MULTI-­‐PROFILE	
  
CONSUM	
  OF	
  THE	
  TERRITORY	
  
49	
  
CONSUM	
  OF	
  THE	
  TERRITORY	
  
50	
  
MEASURIN	
  EMOTIONS:	
  
“emo4onmeter”	
  
51	
  
52	
  
iKUScommerce	
   •  iKUScommerce	
  encompasses	
  
the	
  measurement,	
  analysis	
  and	
  
modeling	
  of	
  consumer	
  flows	
  
•  Understand	
  the	
  phenomenon	
  
of	
  the	
  consumer	
  mobility	
  from	
  
an	
  innova've	
  approach	
  
•  Spa'o-­‐temporal	
  data	
  rela'ng	
  to	
  
demographic	
  profiles	
  and	
  
mobility	
  pa`erns	
  
•  Iden'fy	
  purchase	
  i4neraries	
  
	
  	
  
53	
  
•  Improve	
  overall	
  quality	
  data	
  
•  reduc'on	
  of	
  data	
  entry	
  error,	
  
•  reduc'on	
  of	
  recall	
  bias	
  (esp.	
  for	
  short	
  trips	
  or	
  same-­‐day	
  
visits),	
  
•  more	
  consistency	
  and	
  harmonisa'on	
  because	
  of	
  the	
  use	
  of	
  
algorithms	
  
•  Improved	
  'meliness	
  
•  less	
  collec'ng	
  and	
  processing	
  'me:	
  near	
  real-­‐'me	
  results	
  
•  Reduc'on	
  of	
  burden	
  on	
  respondents	
  and	
  administra'ons	
  
•  It	
  can	
  be	
  an	
  addi'onal	
  source	
  of	
  informa'on	
  for	
  the	
  system	
  
of	
  tourism	
  sta's'cs	
  (quick	
  indicators)	
  
•  Addi'onal	
  indicators	
  to	
  cover	
  exis'ng	
  gaps:	
  flows	
  of	
  non-­‐
residents	
  not	
  staying	
  at	
  rented	
  accommoda'ons	
  (VFR,	
  …)	
  
54	
  
•  Informa'on	
  previously	
  not	
  available	
  
•  Movement	
  panerns	
  of	
  tourists	
  within	
  a	
  geographical	
  area,	
  
detailed	
  regional/des'na'on	
  level,	
  	
  
•  Event	
  visits	
  (very	
  small	
  areas),	
  
•  Repeat	
  visits	
  (currently,	
  longitudinal	
  or	
  panel	
  data	
  from	
  
surveys	
  is	
  very	
  seldom	
  available),	
  etc.	
  
•  predic'on	
  of	
  tourists	
  moving	
  from	
  one	
  anrac'on	
  to	
  another	
  
or	
  the	
  
•  route	
  they	
  may	
  choose	
  to	
  follow	
  
•  outcomes	
  of	
  the	
  transi'on	
  probability	
  matrix	
  to	
  es'mate	
  the	
  
number	
  of	
  tourists	
  
•  Decide	
  on	
  the	
  placement	
  of	
  pathways	
  
•  Es'mates	
  to	
  make	
  de	
  “ecosystem	
  or	
  value-­‐chain”	
  more	
  
efficient	
  	
  
	
  
	
  
	
  
55	
  
PERSONAL	
  CONTEXT	
  BASED	
  INFORMATION	
  AND	
  SERVICES:	
  	
  
m-­‐Commerce	
  
m-­‐Marke4ng	
  
56	
  
PERSONAL	
  CONTEXT	
  BASED	
  INFORMATION	
  AND	
  SERVICES:	
  	
  
m-­‐Commerce	
  
m-­‐Marke4ng	
  
Mo'va'on	
  
Emo'onal	
  State	
  
….	
  
58	
  
COMPETITIVITY,	
  
DESTINATION	
  AND	
  
PLACE	
  DESIGN	
  
59	
  
KNOWLEDGE	
  INTO	
  ACTION	
  
	
  
	
  
	
  
	
  
"Innova@ons	
  are	
  not	
  just	
  the	
  results	
  of	
  scien@fic	
  work	
  in	
  a	
  laboratory-­‐like	
  
environment…this	
  is	
  the	
  excep@on	
  rather	
  than	
  the	
  rule…the	
  causality	
  between	
  
science	
  and	
  innova@on	
  has	
  proven	
  weaker	
  than	
  expected…innova@on	
  emerge	
  
increasingly	
  in	
  prac@ce-­‐based	
  processes	
  based	
  on	
  the	
  ability	
  to	
  interact	
  and	
  
build	
  networks	
  with	
  other	
  innova@on	
  agents"	
  (V.	
  Haarmaakopi	
  et	
  al	
  2008)	
  	
  
	
  
	
  
	
  
60	
  
Innova@on	
  and	
  social	
  progress	
  has	
  specific	
  characteris@cs	
  derived	
  by	
  the	
  growing	
  
intangibility	
  and	
  informa@on	
  content;	
  and	
  the	
  interdependence	
  between	
  the	
  
various	
  technology	
  companies	
  and	
  resources	
  in	
  the	
  des@na@on	
  which	
  are	
  based.	
  
	
  
The	
  more	
  inclusive	
  intelligence	
  that	
  allows	
  us	
  to	
  bring	
  technology	
  to	
  the	
  crea@on	
  
of	
  social	
  and	
  economic	
  model.	
  
	
  
The	
  integra@on	
  of	
  technological	
  solu@ons	
  in	
  the	
  social	
  and	
  economic	
  context,	
  
requires	
  design	
  and	
  facilitate	
  the	
  transi@on	
  processes	
  between	
  different	
  
economic	
  and	
  produc@on	
  models.	
  
61	
  
Does	
  technology	
  support	
  our	
  needs?	
  
	
  
Do	
  we	
  engage	
  in	
  to	
  smart	
  use	
  of	
  technology	
  ?	
  
Moving forward…
NEW UNDESTRANDING
NEW APPROACHES:
Measurment and modelling of
mobilities
SMATER	
  DESTINATIONS
COLLECTIVE INTELLIGENCE
CICtourGUNE	
  
Coopera've	
  Research	
  Center	
  in	
  Tourism	
  	
  
Turismoko	
  Ikerketa	
  Zentro	
  Koopera'boa	
  
Centro	
  de	
  Inves'gación	
  Coopera'va	
  en	
  Turismo	
  
	
  
Donos'ako	
  Parke	
  Teknologikoa	
  
Mikeletegi	
  Pasealekua,	
  71	
  ·∙	
  3.	
  Solairua	
  
E-­‐	
  20009	
  Donos'a	
  ·∙	
  Spain	
  
Tel.:	
  +34	
  943	
  010885	
  ·∙	
  Fax:	
  +34	
  943	
  010846	
  
tourgune.org	
  
Aurkene	
  Alzua-­‐Sorzabal	
  
aurkenealzua@tourgune.org	
  
63	
  

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II FITseminar Aurkene Alzúa

  • 1.       Oportunidades  de   innovación  en  la   movilidad  de  Des4nos   Turís4cos  Inteligentes                             Aurkene  Alzua   Execu've  Director   aurkenealzua@tourgune.org      
  • 2. 2   Source:  European  Commission   GLOBAL   CONTEXT       New  mobili'es         New   Framework   compe''on        
  • 3. 3   •  93.000  daily  flights  all  over  the  world   •  50  millions  p/km  annually  in  the  EU  (mari'me)   •  400  millions  p/km  annually  in  the  EU  (railway)   •  500  millions  de  p/km  annually  in  the  UE  (bus)   GLOBAL   CONTEXT       New  mobili'es         New   Framework   compe''on        
  • 4. 4   GLOBAL   CONTEXT       New  mobili'es         New   Framework   compe''on       City-­‐Regions  
  • 5. 5   GLOBAL   CONTEXT       New  mobili'es         New   Framework   compe''on       City-­‐Regions  
  • 6. 6   GLOBAL   CONTEXT       New  mobili'es         New   Framework   compe''on       City-­‐Regions  
  • 7. •  The  popula'on  of  people  connected  to  the  Internet   is  growing  150%  faster  than  world  popula'on     THE  WAY  WE  ACCESS  TO  THE  INTERNET  HAS  CHANGED     GLOBAL   CONTEXT       CYBER-­‐ PHYSICAL   CONVERGENCE       New   Framework   compe''on       City-­‐Regions  
  • 8. •  The  popula'on  of  people  connected  to  the  Internet   is  growing  150%  faster  than  world  popula'on     THE  WAY  WE  ACCESS  TO  THE  INTERNET  HAS  CHANGED    
  • 9. •  87%  of  travellers  use  the  Internet  for  travel  planning   •  62%  researched  an  upcoming  trip   •  43%  read  reviews  from  other  travellers   •  31%  watched  travel  video    
  • 10. One  billion  of  the  world  popula'on  (1/7)  is  using  a  Smartphone.   •  70%  changed  their  face  book  status  while  on  holidays   •  52%  changed  their  original  travel  plans   •  50%  of  travel  companies  agreed  that  bookings  were  coming   from  social  media   •  46%  checked  in  loca'on   •  33%  changed  their  hotel   •  85%  of  leisure  travellers  use  smartphones   •  30%  used  mobile  apps  to  find  a  hotel   •  29%  used  mobile  apps  to  find  air  deals   •  15%  have  downloaded  apps  specific  for  their  coming  holidays    
  • 12. 12   •  The  present  'me  has  been  recognized  as  an  technology  mediated   world,  with  compu'ng  and  communica'on  en''es  interac'ng  among   themselves,  as  well  as  with  users.   •  Real-­‐world  components  interact  with  cyberspace  thus  driving  towards   the  Cyber-­‐Physical  World  (CPW)  convergence,  adap'ng  human   behaviour  and  social  dynamics  (Con'  et  al.,  2012)   .    
  • 13.
  • 14.
  • 15. A  New  World  is  emerging  as  a  Smart  World,  converging  the   Cyber,  Social,  and  Physical  Domains.   Business  and  des'na'ons  need  the  wholly  new  development  principles,   policies,  processes,  and  objec'ves:  sustainable  world  strategies,   comprehensive  planning,  integrated  models,  and  globally  effec've   solu'ons..   15  
  • 16. World  will  be  different  in  2020   year   The  way  people  will  travel,  the  ci'es,  the  territory,  the  interac'ons,  the  services  and   the  companies  will  be  different    
  • 17. 17   In  the  context  of  the  growth  of  the  mobility  importance,  ci'es  will   reach  a  bigger  prominence.     The  key  territories  will  be  the  ones  which  will  be  able  to  design   places  in  order  to  become  the  ideal  scene  for  new  life  style.     In  these  design  and  building  processes  of  the  territory    or   Placemaking,  it  is  about  the  meaning  and  importance  of  the  places   the  ci'zens  and  users  have.     Places  that  facilitate  the  undertaking    and  human  growth.   GLOBAL   CONTEXT       New  mobili'es         New   Framework   compe''on       City-­‐Regions  
  • 18. 18     GLOBAL  CONTEXT       New  mobili4es         New  Framework   compe''on       City-­‐Regions          
  • 19. •  New  Tracking  Techologies   •  Augmented  Tracking  Techologies   •  Not  only  log  the  posi'on   •  Detec'ng  the  ac'on   Log  posi'on   Log  “cultural  space”   Log  “consump'on”   …   GLOBAL   CONTEXT       CYBER-­‐ PHYSICAL   CONVERGENCE       New   Framework   compe''on       City-­‐Regions  
  • 20. 20   • People   are   empowered   to   express,   share,   create,   consume,   and   organize  informa'on  in  a  new  manner       • The  advance  of  internet  and  the  new  technology-­‐mediated  world,    has   significantly  changed  and  even  transformed  the  structure  of  tourism   value  chain.     • It  not  only  affects  the  choices  available  to  the  consumer,  but  also  the   business  models  and  marke'ng  strategies  adopted  by  the  various   channel  par'cipants,  stakeholders.         GLOBAL   CONTEXT       CYBER-­‐ PHYSICAL   CONVERGENCE       New   Framework   compe''on       City-­‐Regions  
  • 21. 2 1   A  Tourism  Des+na+on  is  said  to  be  Smart  when  it  makes  intensive  use   of  the  technological  infrastructure  provided  by  the  Smart  City  in  order   to:  (i)  enhance  the  tourism  experience  of  visitors  by  making  them  aware   of  both  local  and  tourism  services  and  products  available  to  them  at  the   des@na@on  and  (ii)  by  empowering  des@na@on  management   organiza@ons,  local  ins@tu@ons  and  tourism  companies  to  make  their   decisions  and  take  ac@ons  based  upon  the  data  produced  in  within  the   des@na@on,  gathered,  managed  and  processed  by  means  of  the   technology  infrastructure    
  • 22. A new and exciting approach to tourism research. GUNE 22   A new  and   exci4ng  approach   to  tourism   research  and   human  mobility  in   the  new  Age  of   Social  Science
  • 23. •  Measurement  tools  are  strongly  linked  to  technological  development   •  There  is  a  need  to  develop  a  more  efficient  ways  of  collec4ng  data   •  The  depth  of  the  measurement  depends  on  the  available  technology   •  Macro  Level  (1980-­‐2000)   •  Examines  a  discrete  secuence  of  movement  among  tourist  loca'ons,     loca'ons  which  can  be  some  distance  apart   •  Micro  Level  (2000-­‐un4l  now)   •  Movement  is  seen  as  a  con4nuous  process   •  The  sequence  of  movements  can  be  represented  accurately  as  a   collec'on  of  spa'al  points  
  • 24.   Observa'onal  methods   • Hartman  1988   No  Observacional  Methods   • Pearce  1988   • Debagger  1991   • Fenell  1996   • Thornton  1997   Tracking  Technologies   • McKercher  2004   • Lau  and  McKercher  2007   • Shoval  2007   • Shoval  and  Isaacson  2012   • …   Open  Data   1980   1990   2000   2012   Macro  analysis   Micro  Analysis   McKercher  2005   Rein  Ahas  2006/07   Shoval    2009   No  secuences   Secuences   Mul'day   Shova  2008   A.A  Lew  2002   Xia  2010-­‐11   Ling  Chen  2010   A.O’Connor  2005   Gigi  Lay  2006   ….             New  technological  paradigm  
  • 25.   Observa'onal  methods   • Hartman  1988   No  Observacional  Methods   • Pearce  1988   • Debagger  1991   • Fenell  1996   • Thornton  1997   Tracking  Technologies   • McKercher  2004   • Lau  and  McKercher  2007   • Shoval  2007   • Shoval  and  Isaacson  2012   • …   Open  Data   • New  Paradigm   1980   1990   2000   2012   Macro  analysis   Micro  Analysis   McKercher  2005   Rein  Ahas  2006/07   Shoval    2009   No  secuences   Secuences   Mul'day   Shova  2008   A.A  Lew  2002   Xia  2010-­‐11   Ling  Chen  2010   A.O’Connor  2005   Gigi  Lay  2006   ….             Tradi'onal  technics     •  Research  focused  primarily  on  the  flow  of  visitors  between   des'na'ons   •  Macro  level   •  Few  subna'onal  informa'on     •  Space-­‐'me  diaries   •  Systema'c  recording  of  space  and  'me   •  Requires  the  individual  ac've  par'cipa'on  in  the  data   capture  process.   •  Subjec4ve  process  
  • 26.   Observa'onal  methods   • Hartman  1988   No  Observacional  Methods   • Pearce  1988   • Debagger  1991   • Fenell  1996   • Thornton  1997   Tracking  Technologies   • McKercher  2004   • Lau  and  McKercher  2007   • Shoval  2007   • Shoval  and  Isaacson  2012   • …   Open  Data   1980   1990   2000   2012   Macro  analysis   Micro  Analysis   McKercher  2005   Rein  Ahas  2006/07   Shoval    2009   No  secuences   Secuences   Mul'day   Shova  2008   A.A  Lew  2002   Xia  2010-­‐11   Ling  Chen  2010   A.O’Connor  2005   Gigi  Lay  2006   ….             Towards  a  new  paradigm     •  The  technology  advances  in  the  field  of   digital  systems,  such  as  GPS  tracking   devices,  have  opened  a  new  research   field  within  the  tourism  discipline.   •  Micro  level   •  GPS  devices,  combined  with  space-­‐'me   analysis  techniques  facilitates  a  be`er   understanding  of  the  visitors’  behaviour   diversity.   New  technological  paradigm  
  • 27.   Observa'onal  methods   • Hartman  1988   No  Observacional  Methods   • Pearce  1988   • Debagger  1991   • Fenell  1996   • Thornton  1997   Tracking  Technologies   • McKercher  2004   • Lau  and  McKercher  2007   • Shoval  2007   • Shoval  and  Isaacson  2012   • …   Open  Data   1980   1990   2000   2012   Macro  analysis   Micro  Analysis   McKercher  2005   Rein  Ahas  2006/07   Shoval    2009   No  secuences   Secuences   Mul'day   Shova  2008   A.A  Lew  2002   Xia  2010-­‐11   Ling  Chen  2010   A.O’Connor  2005   Gigi  Lay  2006   ….             Secuence  Aligment   •  Method  of  sequence  alignment  as  a  tool  for  analyzing   the  sequen'al  aspects  within  the  temporal  and  spa'al   dimensions  of  human  ac'vi'es.   Space  Time  simula'on  Models   •  Agent-­‐based  simulators  allow  managers  to  develop   spa'ally  explicit  simula'ons  of  current  tourist   movement  panerns       Con'nuous  route  panern  mining   •  This  algorithm  can  tolerate  the  different  disturbances  in   real  routes  and  extract  the  frequent  panerns   Semi-­‐Markov   •  Semi-­‐Markov  processes  can  be  used  to  predict  the   probability  of  movement  panerns,  given  that  we  know   the  'me  spent  at  each  anrac'on        
  • 28. •  It  is  more  important  than  ever  to  measure  in  order  to  MODEL  and   ANTICIPATE,  so  that  we  can  adjust  bener  the  new  compe''on   •  Macro   •  Micro   •  We  should  measure  performance  because  it  might  be  helpful  to   achieve  specific  managerial  purposes  or  policies:     •  to  evaluate,     •  monitor,     •  budget,     •  mo'vate,       •  celebrate,     •  learn     •  and  improve.        
  • 29. APPTRACK  aims  to  measure,  analyze,   monitor  visitors  mobility      
  • 30. ¿Cómo  funciona?   Mobile  SDK  module   GIS  server   Analy4c  web  module  
  • 31. 31   apptrack     •  GIS  apptrack  visualiza4on   •  Heat  Maps   •  Cluster  Maps  
  • 32. 32   apptrack     •  Big  Data   •  Data  filtering  in  Real  Time  
  • 33. 33   apptrack   •  Compara4ve  visualiza4on  of  different  moments  of  the  day  
  • 34. 34   It  is  able  to  track  users  anonymously  and  record  different  aspects  of   their  space  and  services  consump'on  panerns  
  • 35. 35   Results  can  be  filtered  and  visualized  in  different  ways  
  • 37. 37  
  • 38. 38   apptrack     •  Data  visualiza4on   •  Repor'ng  in  real  'me  
  • 39. 39   apptrack     •  Data  visualiza4on   •  Repor'ng  in  real  'me  
  • 40. Case  Study  July  –  Sep  2013   •  Apptrack  embedded  into  a  tourism  app  of  Donos'a-­‐San   Sebas'án   •  More  than  175.000  records  stored   •  18  geographical  areas  iden'fied   •  Posi'on  data  stored  every  2  min  
  • 41. Descrip4ve  sta4s4cs  of  the  data  stored   •  Sample  size:  622   •  247  users  with  more  than  15  geo-­‐points  (30  min)   •  205  users  with  more  than  30  geo-­‐points  (1  h)   •  183  users  with  more  than  60  geo-­‐points  (2  h)   •  159  users  with  more  than  120  geo-­‐points  (4  h)   •  61%  of  total  users  have  less  than  15  points   •  388  users  without  any  points  within  Donos'a  –  San  Sebas'an  
  • 42. 0   5   10   15   20   25   8/1/2013  0:00   8/2/2013  0:00   8/3/2013  0:00   8/4/2013  0:00   8/5/2013  0:00   8/6/2013  0:00   8/7/2013  0:00   8/8/2013  0:00   8/9/2013  0:00   8/10/2013  0:00   8/11/2013  0:00   8/12/2013  0:00   8/13/2013  0:00   8/14/2013  0:00   8/15/2013  0:00   8/16/2013  0:00   8/17/2013  0:00   8/18/2013  0:00   8/19/2013  0:00   8/20/2013  0:00   8/21/2013  0:00   8/22/2013  0:00   8/23/2013  0:00   8/24/2013  0:00   8/25/2013  0:00   8/26/2013  0:00   8/27/2013  0:00   8/28/2013  0:00   8/29/2013  0:00   8/30/2013  0:00   8/31/2013  0:00   usuarios   Number  of  ac4ve  users  in  August                     •  49  users  in  first  week   •  105  users  second  week   •  118  users  in  third  week    (Semana  Grande)   •  72  users  fourth  week  
  • 43. •  Physical  study  of  mobility  by  spa'otemporal  analysis             •  Study  of  the  physiology  of  mobility  through  seman'c   enrichment  of  spa'otemporal  data  
  • 44. Lat/long  data   Analysis   Spa4o-­‐ temporal   ac4vity   detec4on   LOPD   Narra4ves   Interpreta4on  
  • 45. POI  descrip'on   POI  metadata  (prices,  informa'on,  descrip'on,   opennin  hours    )   Contextual  augmented  informa'on  (meaning   of  the  'me,  weather  real  'me  informa'on,   transport  real  'me  informa'on  )   Emo'onal  state,  cogni'on  and  behaviour     Lat/Lng  and  cartographic     Seman'cally  enriched  data   Plain  Data   Personal  inference  domain   No  Real  Time  Real  Time  
  • 46. 46   ACTIVATION  OF  THE  RESOURCES  IN  THE  CITY     MULTI-­‐PROFILE   CONSUM  OF  THE  TERRITORY  
  • 47. 47   ACTIVATION  OF  THE  RESOURCES  IN  THE  CITY     MULTI-­‐PROFILE   CONSUM  OF  THE  TERRITORY    
  • 48. 48   ACTIVATION  OF  THE  RESOURCES  IN  THE  CITY     MULTI-­‐PROFILE   CONSUM  OF  THE  TERRITORY  
  • 49. 49   CONSUM  OF  THE  TERRITORY  
  • 50. 50   MEASURIN  EMOTIONS:   “emo4onmeter”  
  • 51. 51  
  • 52. 52   iKUScommerce   •  iKUScommerce  encompasses   the  measurement,  analysis  and   modeling  of  consumer  flows   •  Understand  the  phenomenon   of  the  consumer  mobility  from   an  innova've  approach   •  Spa'o-­‐temporal  data  rela'ng  to   demographic  profiles  and   mobility  pa`erns   •  Iden'fy  purchase  i4neraries      
  • 53. 53   •  Improve  overall  quality  data   •  reduc'on  of  data  entry  error,   •  reduc'on  of  recall  bias  (esp.  for  short  trips  or  same-­‐day   visits),   •  more  consistency  and  harmonisa'on  because  of  the  use  of   algorithms   •  Improved  'meliness   •  less  collec'ng  and  processing  'me:  near  real-­‐'me  results   •  Reduc'on  of  burden  on  respondents  and  administra'ons   •  It  can  be  an  addi'onal  source  of  informa'on  for  the  system   of  tourism  sta's'cs  (quick  indicators)   •  Addi'onal  indicators  to  cover  exis'ng  gaps:  flows  of  non-­‐ residents  not  staying  at  rented  accommoda'ons  (VFR,  …)  
  • 54. 54   •  Informa'on  previously  not  available   •  Movement  panerns  of  tourists  within  a  geographical  area,   detailed  regional/des'na'on  level,     •  Event  visits  (very  small  areas),   •  Repeat  visits  (currently,  longitudinal  or  panel  data  from   surveys  is  very  seldom  available),  etc.   •  predic'on  of  tourists  moving  from  one  anrac'on  to  another   or  the   •  route  they  may  choose  to  follow   •  outcomes  of  the  transi'on  probability  matrix  to  es'mate  the   number  of  tourists   •  Decide  on  the  placement  of  pathways   •  Es'mates  to  make  de  “ecosystem  or  value-­‐chain”  more   efficient          
  • 55. 55   PERSONAL  CONTEXT  BASED  INFORMATION  AND  SERVICES:     m-­‐Commerce   m-­‐Marke4ng  
  • 56. 56   PERSONAL  CONTEXT  BASED  INFORMATION  AND  SERVICES:     m-­‐Commerce   m-­‐Marke4ng  
  • 58. 58   COMPETITIVITY,   DESTINATION  AND   PLACE  DESIGN  
  • 59. 59   KNOWLEDGE  INTO  ACTION           "Innova@ons  are  not  just  the  results  of  scien@fic  work  in  a  laboratory-­‐like   environment…this  is  the  excep@on  rather  than  the  rule…the  causality  between   science  and  innova@on  has  proven  weaker  than  expected…innova@on  emerge   increasingly  in  prac@ce-­‐based  processes  based  on  the  ability  to  interact  and   build  networks  with  other  innova@on  agents"  (V.  Haarmaakopi  et  al  2008)          
  • 60. 60   Innova@on  and  social  progress  has  specific  characteris@cs  derived  by  the  growing   intangibility  and  informa@on  content;  and  the  interdependence  between  the   various  technology  companies  and  resources  in  the  des@na@on  which  are  based.     The  more  inclusive  intelligence  that  allows  us  to  bring  technology  to  the  crea@on   of  social  and  economic  model.     The  integra@on  of  technological  solu@ons  in  the  social  and  economic  context,   requires  design  and  facilitate  the  transi@on  processes  between  different   economic  and  produc@on  models.  
  • 61. 61   Does  technology  support  our  needs?     Do  we  engage  in  to  smart  use  of  technology  ?  
  • 62. Moving forward… NEW UNDESTRANDING NEW APPROACHES: Measurment and modelling of mobilities SMATER  DESTINATIONS COLLECTIVE INTELLIGENCE
  • 63. CICtourGUNE   Coopera've  Research  Center  in  Tourism     Turismoko  Ikerketa  Zentro  Koopera'boa   Centro  de  Inves'gación  Coopera'va  en  Turismo     Donos'ako  Parke  Teknologikoa   Mikeletegi  Pasealekua,  71  ·∙  3.  Solairua   E-­‐  20009  Donos'a  ·∙  Spain   Tel.:  +34  943  010885  ·∙  Fax:  +34  943  010846   tourgune.org   Aurkene  Alzua-­‐Sorzabal   aurkenealzua@tourgune.org   63