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Applications of Micro Geo Data for Urban Monitoring

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Date: August 26, 2014
Venue: Coex, Seoul , Korea
Presentation Slide of "Smart Geospatial EXPO 2014, ICGIS2014 " by Yuki Akiyama

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Applications of Micro Geo Data for Urban Monitoring

  1. 1. Yuki Akiyama(aki@iis.u-tokyo.ac.jp) Assistant professor Earth Observation Integration and Fusion Research Institute (EDITORIA) The University of Tokyo Applications of Micro Geo Data for Urban Monitoring August 26, 2014 @Coex, Seoul , Korea Smart Geospatial EXPO 2014 ICGIS2014
  2. 2. 2 Recently, various geo data are available.
  3. 3. 3 Building scale Building data:Zmap-TOWNⅡ ©Zenrin CO. Ltd. Detailed geo data are available. Building scale → household scale → person scale…
  4. 4. 4 Building scale Household scale Micro Population Census ©Yuki Akiyama Detailed geo data are available. Building scale → household scale → person scale…
  5. 5. 5 People flow data ©CSIS Person scale Building scale Household scale Detailed geo data are available. Building scale → household scale → person scale…
  6. 6. 6 Person scale People flow data ©CSIS Big data with location and time =Micro Geo Data(MGD) Building scale Household scale Detailed geo data are available. Building scale → household scale → person scale…
  7. 7. 7 Japanese government is looking to the utilization of MGD. NHK News Web(2014/06/09) http://www3.nhk.or.jp/news/html/20140609/k1 0015066701000.html Japanese government begins to introduce legislation toward promotion of utilization of big data. Ministry of Internal Affairs and Communications of Japan authorized a budget of approx 75million USD for utilization and application of geo big data. http://www.soumu.go.jp/main_content/000264428.pdf
  8. 8. 8 Recently, personal computers and mobile phones are becoming widespread and internet environment are being developed rapidly. Anyone can access detailed digital map. The widespread use of detailed digital map creates demands for more detailed and reliable spatial data then before. Researches to utilize such spatial data attract rising attention. Spatially and temporally high resolution big data which can cover whole country area =Micro Geo data (MGD) It is gathering attention how to develop, apply and popularize MGD now. Coming of age to utilize MGD
  9. 9. 9 Today’s Keyword Micro Geo Data (MGD) =Spatial and temporal big data that spatial and temporal resolutions are very fine ①Available Japanese MGD for urban monitoring ②Examples of urban monitoring using MGD ③MGD Forum
  10. 10. 10 Census data aggregated by administrative unit (e.g. Population census) Digitalization Map data Integration You can monitor actual states of residents (populations) in each cities, towns or villages. ©Softnat
  11. 11. 11 Road length data (Digital national land information, 500m grid) Grid statistics(e.g. Commercial statistics) Commercial statistics aggregated into 1km, 500m or 250m square grids
  12. 12. 12 Many previous studies used relatively macro scale GIS data. In the case to collect micro scale data (i.e. each building, shop or pedestrian), many studies relayed on field survey. > it is difficult to collect micro scale data in broad area. Data volume of micro scale data in broad area are very large. > Previously, it is difficult to handle them because of constraint of hardware’s performance. Recently, it is possible to handle large data thanks to improvement of hardware’s performance. In addition, it has almost come to realize to accumulate micro scale data with the popularization of large volume hard discs. Coming of age to utilize MGD
  13. 13. History of commercial-release PC specs 13 0 1 2 3 4 5 6 7 8 9 0 500 1000 1500 2000 2500 3000 3500 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 CPUクロック数[MHz] メインメモリ[GB] History of CPU clocks and main memory volumes by NEC home PC [MHz] [GB] Specs of commercial-release PC are improving rapidly. In addition, SaaS and cloud computing are spreading now. Windows95 Released Windows XP Released Google Founded Google Map Released PC8001(1985) 1,750USD PC-9821Ct20(1997) 4,150USD VN370(2012) 975USD CPU clocks [MHz] Main memory[GB]
  14. 14. History of commercial-release HDD specs 14 Volumes of HDD are also improved rapidly. Their volumes are increasing 1.6~2 times / yrs. ※http://www.infonet.co.jp/ueyama/ip/hardware/harddisk2.html Commercial- release HDD HDD confirmed in research level Hundredfold in 10 yrs. (100MB→10GB) Hundredfold in 10 yrs. (10GB→1TB) Now, we can develop environment to use MGD easlly!
  15. 15. 15 Many previous studies used relatively macro scale GIS data. In the case to collect micro scale data (i.e. each building, shop or pedestrian), many studies relayed on field survey. > it is difficult to collect micro scale data in broad area. Data volume of micro scale data in broad area are very large. > Previously, it is difficult to handle them because of constraint of hardware’s performance. Recently, it is possible to handle large data thanks to improvement of hardware’s performance. In addition, it has almost come to realize to accumulate micro scale data with the popularization of large volume hard discs. Next interesting stage is… How to utilize MGD? Coming of age to utilize MGD
  16. 16. 1 year 2 months 1 hour 5 years Existing data and census MGD New MGD developed in our study Open data Commercial data(Some of them is free in case of academic research) 16 Available Japanese MGD for urban monitoring Some census (grid) Population census Commercial statistics Business census etc. Temporal Resolution Real time Prefectures/ Cities Each building/ person Grid scale (1km / 500m grid) Spatial Resolution Spatial data with high spatial and temporal resolution Collected by field survey or questionnaire survey by researchers →Fine reliability Large amount of labor 国勢調査 商業統計 事業所・企業統計 Previously, these kinds of data are not used (or can not used) adequately. If you can use raw data… ・Development and handling of them are difficult. ・Development of Sharing environment of them is difficult.
  17. 17. 1 year 2 months 1 hour 5 years Various mobile census People flow dataset Commercial Accumulation Statistics Micro Population Census Existing data and census MGD New MGD developed in our study Open data Commercial data(Some of them is free in case of academic research) 17 Available Japanese MGD for urban monitoring Some census (grid) Population census Commercial statistics Business census etc. Temporal Resolution Real time Prefectures/ Cities Each building/ person Grid scale (1km / 500m grid) Spatial Resolution Web data (Estate, restaurants, SNS etc.) Residential map Telephone directory Micro Geo Data (MGD) High spatial and temporal resolution ・They are very helpful for detailed urban monitoring. ・New MGD can be developed using them. ・Data holders are seeking how to utilize MGD.
  18. 18. 1 year 2 months 1 hour 5 years Various mobile census People flow dataset Commercial Accumulation Statistics Micro Population Census Existing data and census MGD New MGD developed in our study Open data Commercial data(Some of them is free in case of academic research) 18 Available Japanese MGD for urban monitoring Some census (grid) Population census Commercial statistics Business census etc. Temporal Resolution Real time Prefectures/ Cities Each building/ person Grid scale (1km / 500m grid) Spatial Resolution Web data (Estate, restaurants, SNS etc.) Residential map Telephone directory Micro Geo Data (MGD) High spatial and temporal resolution ・They are very helpful for detailed urban monitoring. ・New MGD can be developed using them. ・Data holders are seeking how to utilize MGD.
  19. 19. Residential map(Zmap-TOWNⅡ Zenrin Co., Ltd.) You can monitor detailed building information ・Buildings or residents names ・Number of stories ・Usage of building ・Tenants or residents information in all floors or rooms →It covers almost all areas of Japan. 19
  20. 20. 20 Digital telephone directory (Zenrin Co., Ltd. , NTT Business Information Service, Inc. etc.) Telephone directory (text data) Address Point data with attributes of telephone directory We can develop point data by the address geocoding (address → longitude, latitude) ・Name ・Business ・Phone number ・Address etc of each shops and offices
  21. 21. 21 Yellow page (old) Digital house map (old) Digital house map (new) Yellow page (new) Spatial integration with digital house map Spatio-temporal integration (Based on location and name similarity) Time-series digital map Monitoring of time-series changes on buildings and tenants Akiyama, Y., Shibasaki, R., 2012,"A Method for Identifying Japanese Shop and Company Names by Spatiotemporal Cleaning of Eccentrically Located Frequently Appearing Words", Advances in Artificial Intelligence, Vol2012, Article ID 562604.
  22. 22. Integration of time-series data! Tenant names (in 2008) 22 Monitoring of time-series changes on buildings and tenants Continuation Change Emergence Demise Legend Time-series changes between 2003 and 2008
  23. 23. Time-series changes of all floors can be monitored 23 Monitoring of time-series changes on buildings and tenants; 3D mapping Continuation Change Emergence Demise Legend Time-series changes between 2003 and 2008
  24. 24. 渋谷駅 Shibuya Sta. 渋谷駅 Shibuya Sta. 渋谷駅 Shibuya Sta. 24 Continuation Change Emergence Demise Legend Time-series changes between 2003 and 2008 Monitoring of time-series changes on buildings and tenants; Utilization of attribute data
  25. 25. 渋谷駅 Shibuya Sta. 渋谷駅 Shibuya Sta. 渋谷駅 Shibuya Sta. Locations of McDonalds (Based on tenant names in 2008) Locations of new clothing shop opened between 2003-2008 (based on business categories and time-series changes) 25 Monitoring of time-series changes on buildings and tenants; Utilization of attribute data
  26. 26. 渋谷駅 Shibuya Sta. 渋谷駅 Shibuya Sta. 渋谷駅 Shibuya Sta. 渋谷駅 Shibuya Sta. 山手線 Yamanote line 渋谷駅 Shibuya Sta. 山手線 Yamanote line 渋谷 Shibuya 原宿駅 Harajuku Sta. 代々木公園 Yoyogi park 表参道 Omote sando 原宿駅 Harajuku Sta.代々木公園 Yoyogi park 渋谷 Shibuya 明治神宮 Meiji Shrine 表参道 Omote sando 原宿駅 Harajuku Sta.代々木公園 Yoyogi park 渋谷 Shibuya 明治神宮 Meiji Shrine 表参道 Omote sando 原宿駅 Harajuku Sta. 代々木公園 Yoyogi park 渋谷 Shibuya 明治神宮 Meiji Shrine 原宿駅 Harajuku Sta.代々木公園 Yoyogi park 渋谷 Shibuya 明治神宮 Meiji Shrine 新宿御苑 Shinjuku Gyoen park 原宿駅 Harajuku Sta.代々木公園 Yoyogi park 渋谷 Shibuya 明治神宮 Meiji Shrine 新宿御苑 Shinjuku Gyoen park 原宿駅 Harajuku Sta.代々木公園 Yoyogi park 新宿 Shinjuku 明治神宮 Meiji Shrine 新宿御苑 Shinjuku Gyoen park 原宿駅 Harajuku Sta. 代々木公園 Yoyogi park 新宿 Shinjuku 新宿御苑 Shinjuku Gyoen park 原宿駅 Harajuku Sta. 代々木公園 Yoyogi park 新宿 Shinjuku 新宿御苑 Shinjuku Gyoen park 新宿 Shinjuku 新宿御苑 Shinjuku gyoen park 代々木公園 Yoyogi park 早稲田大学 Waseda Univ. 26 Monitoring of time-series changes on buildings and tenants; Data development in broad urban area Continuation Change Emergence Demise Legend Time-series changes between 2003 and 2008
  27. 27. Extremely detailed for macro scale monitoring…Make a grid map Tenant changed rate Percentage of the number of all tenants in 2008 of the number of changed tenants. <Example> Total number: 866 Changed tenants: 379 Changed rate = 379/866 = 0.4376 Evaluation index of briskness of commercial activity Changed rate[%] (2003-2008) 27 Monitoring of time-series changes on buildings and tenants; Data development in broad urban area
  28. 28. Extremely detailed for macro scale monitoring… 28 Changed rate[%] (2003-2008) Monitoring of time-series changes on buildings and tenants; Data development in broad urban area
  29. 29. 29 Changed rate[%] (2003-2008) Monitoring of time-series changes on buildings and tenants; Data development in broad urban area
  30. 30. Korea D.P.R.Korea Taiwan China Russia 30 Changed rate[%] (2003-2008) Monitoring of time-series changes on buildings and tenants; Data development in broad urban area
  31. 31. 1 year 2 months 1 hour 5 years Various mobile census People flow dataset Commercial Accumulation Statistics Micro Population Census Existing data and census MGD New MGD developed in our study Open data Commercial data(Some of them is free in case of academic research) 31 Available Japanese MGD for urban monitoring Some census (grid) Population census Commercial statistics Business census etc. Temporal Resolution Real time Prefectures/ Cities Each building/ person Grid scale (1km / 500m grid) Spatial Resolution Web data (Estate, restaurants, SNS etc.) Residential map Telephone directory Micro Geo Data (MGD) High spatial and temporal resolution ・They are very helpful for detailed urban monitoring. ・New MGD can be developed using them. ・Data holders are seeking how to utilize MGD.
  32. 32. This data is developed based on the person trip survey and they are interpolate spatio-temporaly using road and railroad network data. People flow prohect http://pflow.csis.u-tokyo.ac.jp/index-j.html 32 We can monitor distributions of persons to stay or move (every 1 minute). ・Person attributes (age, sex etc) ・Methods of transport ・Aim of movement →It covers many metropolitan areas of Japan People flow dataset
  33. 33. 1 year 2 months 1 hour 5 years Various mobile census People flow dataset Commercial Accumulation Statistics Micro Population Census Existing data and census MGD New MGD developed in our study Open data Commercial data(Some of them is free in case of academic research) 33 Available Japanese MGD for urban monitoring Some census (grid) Population census Commercial statistics Business census etc. Temporal Resolution Real time Prefectures/ Cities Each building/ person Grid scale (1km / 500m grid) Spatial Resolution Web data (Estate, restaurants, SNS etc.) Residential map Telephone directory Micro Geo Data (MGD) High spatial and temporal resolution ・They are very helpful for detailed urban monitoring. ・New MGD can be developed using them. ・Data holders are seeking how to utilize MGD.
  34. 34. 34 Konzatsu Toukei (Mobile census data; Zenrin data com Co., Ltd. ) We can monitor estimate populations of every hours by 250m square grids (updated everyday). ・Real time data based on GPS logs by mobile phones ・It covers throughout Japan.
  35. 35. 1 year 2 months 1 hour 5 years Various mobile census People flow dataset Commercial Accumulation Statistics Micro Population Census Existing data and census MGD New MGD developed in our study Open data Commercial data(Some of them is free in case of academic research) 35 Available Japanese MGD for urban monitoring Some census (grid) Population census Commercial statistics Business census etc. Temporal Resolution Real time Prefectures/ Cities Each building/ person Grid scale (1km / 500m grid) Spatial Resolution Web data (Estate, restaurants, SNS etc.) Residential map Telephone directory Micro Geo Data (MGD) High spatial and temporal resolution ・They are very helpful for detailed urban monitoring. ・New MGD can be developed using them. ・Data holders are seeking how to utilize MGD.
  36. 36. 36 Example of Web data; Shop information (Hotpepper API) We can collect detailed and fresh shop information.
  37. 37. 37 Example of Web data; Usage of the twitter and flickr Monitoring of urban activity by the Twitter and the Flickr (Blue dots: twitter, orange: flickr, white: both ) Tokyo, Japan Eric Fischer, “Eric Fischer’s photostream”, http://www.flickr.com/photos/walkingsf/ New York, USA
  38. 38. Collection of business hour of each shops by analysis of search results by search engines (City center of Fukuoka, Japan) Okamoto,Y., Akiyama, Y., Ueyama, S., Shibasaki, R., 2011, "Visualization of Business Hours for Shops and Offices Classified by Business Categories in Shopping Area" The 32nd Asian Conference on Remote Sensing, CD-ROM(TS3-10) 38 Example of Web data; Analysis of search result by search engine
  39. 39. 1 year 2 months 1 hour 5 years Various mobile census People flow dataset Commercial Accumulation Statistics Micro Population Census Existing data and census MGD New MGD developed in our study Open data Commercial data(Some of them is free in case of academic research) 39 Available Japanese MGD for urban monitoring Some census (grid) Population census Commercial statistics Business census etc. Temporal Resolution Real time Prefectures/ Cities Each building/ person Grid scale (1km / 500m grid) Spatial Resolution Web data (Estate, restaurants, SNS etc.) Residential map Telephone directory Micro Geo Data (MGD) High spatial and temporal resolution ・They are very helpful for detailed urban monitoring. ・New MGD can be developed using them. ・Data holders are seeking how to utilize MGD.
  40. 40. 40 Distributions of commercial statistics are not monitored in detail because aggregated unit is administrative unit. Problems of current Commercial Statistics Actual distribution of commercial areas can not be monitored because aggregated units are administrative unit or grid. Actual situations of accumulations by shops and offices are ignored because aggregated unit is grid.
  41. 41. 41 In our study… 商業集積地域A 店舗数:201件 新設店舗:52件 コンビニ:8件 商業集積地域B 店舗数:73件 新設店舗:9件 コンビニ:3件 商業集積地域C 店舗数:182件 新設店舗:38件 コンビニ:6件 Aggregated unit is shapes of actual commercial areas. =Commercial Accumulation Statistics It was realized to process digital telephone directory (= Micro geo data)
  42. 42. 42 Development flow Actual shop information by Web pages of some commercial areas Commercial Accumulation Statistics =Each 1 polygon means 1 commercial areas. Digital telephone directory (Telepoint Pack! Zenrin Co., Ltd. ) Integration based on names and locations (address and X,Y) Data selection based on business categories Development of buffer polygons from each point and integration (merging) Polygons which contain less than 10 shops are removed. This data was developed and commercialized by the joint research with private company (Zenrin Co., Ltd.). Joint research Adviser Univ. Researchers Private companies Lend/Share (free) Selling
  43. 43. 43 Number of shops 10~20 20~30 30~50 50~100 100~ Akiyama, Y., Sengoku, H.,Hiroyuki, T., Shibasaki, R., 2011, "Development of Commercial Accumulation Polygon Data Throughout Japan Based on the Digital Classified Telephone Directory", CUPUM2011, F-TC-3(1) Commercial Accumulation Statistics(Kobe city, Japan) Locations and shapes of commercial accumulations are expressed by polygons.
  44. 44. Total number of shops Number of shops in each business categories You can monitor numbers of shops of each business category in all commercial areas. 44 Number of shops 10~20 20~30 30~50 50~100 100~ Commercial Accumulation Statistics(Kobe city, Japan)
  45. 45. Green points are telephone directory. 45 Number of shops 10~20 20~30 30~50 50~100 100~ Commercial Accumulation Statistics(Kobe city, Japan)
  46. 46. 46 Number of shops 10~20 20~30 30~50 50~100 100~ Commercial Accumulation Statistics(Kobe city, Japan)
  47. 47. 商業集積統計(世田谷区東部) Commercial Accumulation Statistics (2009, Throughout Japan) 47
  48. 48. 商業集積統計(世田谷区東部) Commercial areas around main stations (Tokyo) Commercial Accumulation Statistics (2009, Throughout Japan) 48
  49. 49. 2 データ開発 商業集積地域ポリゴンデータ(日本全土)Road side shops(Asahikawa city) Hot spring(Kusatsu town) Isolated island (Nishinoomote city) Commercial Accumulation Statistics (2009, Throughout Japan) 49
  50. 50. 50 異なる時点の商業集積を重ねることで商業地域の広がりの変化を把握 We can detect declining shopping areas Monitoring of changes of commercial area’s shapes to overlay multi-year data Detection of declining shopping areas
  51. 51. Estimated number of visitors in each commercial areas It is realized to integrate the Commercial Accumulation Statistics with the mobile census data by ZDC in the city center of Tokyo. (365days in 2012) 51 Legend Estimated number of visitors Akiyama, Y., Ueyama, S., Horanont, T., Sengoku, H., and Shibasaki, R., 2013, "Spatio- temporal Analyses of Visitors in Commercial Accumulations Using Mass People Flow Data in Kanto Region", IGU2013 Kyoto Regional Conference, JS104-3-1.
  52. 52. 52 0 2,000 4,000 6,000 8,000 10,000 12,000 14,000 16,000 18,000 20,000 22,000 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Averagenumberofvisitorsinweekday Times[hour] 浅草 歌舞伎町 原宿 八重洲1丁目 下北沢南口 Asakusa Kabuki-cho Harajuku Yaesu-1 Shimo-kitazawa It is realized to integrate the Commercial Accumulation Statistics with the mobile census data by ZDC in the city center of Tokyo. (365days in 2012) Estimated time-series number of visitors in some commercial areas
  53. 53. 53 Estimated time-series number of visitors in some commercial areas 0 2,000 4,000 6,000 8,000 10,000 12,000 14,000 16,000 18,000 20,000 22,000 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Averagenumberofvisitorsinweekday Times[hour] 浅草 歌舞伎町 原宿 八重洲1丁目 下北沢南口 Asakusa Kabuki-cho Harajuku Yaesu-1 Shimo-kitazawa It is realized to integrate the Commercial Accumulation Statistics with the mobile census data by ZDC in the city center of Tokyo. (365days in 2012)
  54. 54. 1 year 2 months 1 hour 5 years Various mobile census People flow dataset Commercial Accumulation Statistics Micro Population Census Existing data and census MGD New MGD developed in our study Open data Commercial data(Some of them is free in case of academic research) 54 Available Japanese MGD for urban monitoring Some census (grid) Population census Commercial statistics Business census etc. Temporal Resolution Real time Prefectures/ Cities Each building/ person Grid scale (1km / 500m grid) Spatial Resolution Web data (Estate, restaurants, SNS etc.) Residential map Telephone directory Micro Geo Data (MGD) High spatial and temporal resolution ・They are very helpful for detailed urban monitoring. ・New MGD can be developed using them. ・Data holders are seeking how to utilize MGD.
  55. 55. Recently, various census data are being digitalized and we can get them easily from websites of national and local governments. Especially, the population census is used as base data to understand distribution and movement of population by many previous studies. More detailed and reliable population data are required than before for following urban problems. Background Urban planning Disaster damage estimation and prevention Traffic planning Marketing support >We aim to develop new population census which can be accumulated into arbitrary spatial unit. 55
  56. 56. 56 Micro population census (Population census + residential map + housing statistics) It was realized to disaggregate population census. (Disaggregate: data processing to reallocate data statistically based on other statistics and spatial features.) 東松原駅 LEGEND Households 1 person 3 persons 4 persons 5 persons ≧6 persons 2 persons Akiyama, Y., Takada, T. and Shibasaki, R., 2013, "Development of Micropopulation Census through Disaggregation of National Population Census", CUPUM2013 conference papers, 110.
  57. 57. 57 It was realized to disaggregate population census. (Disaggregate: data processing to reallocate data statistically based on other statistics and spatial features.) 東松原駅 Attribute table Building type house Longitute 139.65633 Latitude 35.663664 Area[m2 ] 105.34 Family type 8 Household size 5 Householder [age-gender] 45 - 1 Spouse [age - gender] 40 - 2 Number of child 2 Information of children 5-1 | 10 - 2 Number of parent 1 Information of parent 75-2 Number of others 0 Information of others None LEGEND Households 1 person 3 persons 4 persons 5 persons ≧6 persons 2 persons Micro population census (Population census + residential map + housing statistics) Akiyama, Y., Takada, T. and Shibasaki, R., 2013, "Development of Micropopulation Census through Disaggregation of National Population Census", CUPUM2013 conference papers, 110.
  58. 58. 58 LEGEND Households 1 person 3 persons 4 persons 5 persons ≧6 persons 2 persons Micro population census (Population census + residential map + housing statistics) Akiyama, Y., Takada, T. and Shibasaki, R., 2013, "Development of Micropopulation Census through Disaggregation of National Population Census", CUPUM2013 conference papers, 110.
  59. 59. 59 LEGEND Households 1 person 3 persons 4 persons 5 persons ≧6 persons 2 persons Micro population census (Population census + residential map + housing statistics) Akiyama, Y., Takada, T. and Shibasaki, R., 2013, "Development of Micropopulation Census through Disaggregation of National Population Census", CUPUM2013 conference papers, 110.
  60. 60. LEGEND Households 1 person 3 persons 4 persons 5 persons ≧6 persons 2 persons Micro population census (Population census + residential map + housing statistics) Akiyama, Y., Takada, T. and Shibasaki, R., 2013, "Development of Micropopulation Census through Disaggregation of National Population Census", CUPUM2013 conference papers, 110.
  61. 61. LEGEND Households 1 person 3 persons 4 persons 5 persons ≧6 persons 2 persons The Important thing to understand this data This data is estimated data. Values of each point are necessarily match as actual states. Micro population census (Population census + residential map + housing statistics) Akiyama, Y., Takada, T. and Shibasaki, R., 2013, "Development of Micropopulation Census through Disaggregation of National Population Census", CUPUM2013 conference papers, 110.
  62. 62. Aggregation by grid (250m square meter) Micro population census (Population census + residential map + housing statistics)
  63. 63. Aggregation by grid (250m square meter) LEGEND Population 0 - 250 501 - 1000 1001 - 2000 2001 - 251 - 500 Aim of the Micropopulation census =Development the new population census which can be aggregated into arbitrary spatial unit. Micro population census (Population census + residential map + housing statistics)
  64. 64. Aggregation by city blocks LEGEND Population 0 - 50 101 - 250 251 - 500 501 - 51 - 100 Micro population census (Population census + residential map + housing statistics)
  65. 65. LEGEND Aging rate (Over 65 yrs. old)[%] 0 - 10 20 - 30 30 - 50 50 - 10 - 20 65 Monitoring of aging rate (rate of population over 65years old in 250m square grid)
  66. 66. 凡例 高齢化率 (65歳以上割合)[%] 0 - 10 20 - 30 30 - 50 50 - 10 - 20 66 Monitoring of aging rate (rate of population over 65years old in 250m square grid) LEGEND Aging rate (Over 65 yrs. old)[%] 0 - 10 20 - 30 30 - 50 50 - 10 - 20
  67. 67. 67 Monitoring of aging rate (rate of population over 65years old in 250m square grid)
  68. 68. Application of MGD for urban problems Many available MGD Building data Time-series data Person flow data Mobile census Commercial accumulation Micro population Web information Internet Application for urban problems Integration Traffic planning Urban planning Disaster damage estimation Marketing support
  69. 69.  Japanese government estimates that victims by Tokai- Tonankai earthquakes are over 300 thousands.  Calculation and estimation of micro-scale regional disaster risks thorughout Japan is very important for planning of earthquake disaster prevention in Japan. Earthquake Disaster damage estimation by MGD 69 Y, Akiyama., Y, Ogawa., H, Sengoku., R, Shibasaki. And T, Kato., “Development of Micro Geo Data for Evaluation of Disaster Risk and Readiness by Large-scale Earthquakes Throughout Japan”, Proceeding of Annual conference on Infrastructure and Management, 2013, 392. (in Japanese) Y, Ogawa., Y, Akiyama. and R, Shibasaki, “The Development of Method to Evaluate the damage of Earthquake Disaster Considering Community-based Emergency Response Throughout Japan”, GI4DM2013, 2013, TS03-1. Using various MGD and census data… Estimation of earthquake disaster risk (fire rate, collapse rate etc.) and death rate of each building
  70. 70. Earthquake Disaster damage estimation by MGDEarthquake Disaster damage estimation by MGD (250m square grid) Estimated death rate [%] In case of earthquake which will occur 2% in 50years
  71. 71. Estimated death rate [%] In case of earthquake which will occur 2% in 50years Earthquake Disaster damage estimation by MGD (250m square grid)
  72. 72. Estimated death rate [%] In case of earthquake which will occur 2% in 50years Earthquake Disaster damage estimation by MGD (250m square grid)
  73. 73. Estimated death rate [%] In case of earthquake which will occur 2% in 50years Earthquake Disaster damage estimation by MGD (250m square grid)
  74. 74. Estimated death rate [%] In case of earthquake which will occur 2% in 50years Earthquake Disaster damage estimation by MGD (250m square grid)
  75. 75. Estimated death rate [%] In case of earthquake which will occur 2% in 50years Earthquake Disaster damage estimation by MGD (250m square grid)
  76. 76. Estimated death rate [%] In case of earthquake which will occur 2% in 50years Earthquake Disaster damage estimation by MGD (250m square grid)
  77. 77. Earthquake Disaster damage estimation by MGD Estimated death rate [%] In case of earthquake which will occur 2% in 50years
  78. 78. Earthquake Disaster damage estimation by MGD Estimated death rate [%] In case of earthquake which will occur 2% in 50years
  79. 79. Earthquake Disaster damage estimation by MGD Estimated death rate [%] In case of earthquake which will occur 2% in 50years
  80. 80. Earthquake Disaster damage estimation by MGD This result received a lot of attention in Japan. Medias (NHK) Magazines (GIS NEXT) Research funds (Ministry of Land, Infrastructure, Transport and Tourism)
  81. 81. Revolution of GIS using MGD Applicative studies which were difficult before are being realized. ・Today is data “abundant” and “accumulating” era. ・Unrealizable studies (only ideas) can be realized by MGD. Anyone can develop an environment to handle MGD. ・We can buy high spec PC and high-capacity HDD at low prices. Our study can target multi-temporal broad areas with any spatial units. ・Results can be accumulated by any spatial units. ・Results can cover all over the country in multi times. 81 Conclusions
  82. 82. 82 Challenges Development of human resources who can handle and analyze MGD is needed. ・We need to acquire skills to handle and understand MGD. > Programming skills to handle big data > Skills to handle GIS software for visualization > Knowledge of statistics to analyze results Integration of MGD with field data ・We need to understand MGD is not universal data. ・To integrate MGD with field data, MGD will be used more than now. > Skill and sense to integrate field data with MGD Exploitation of MGD utilization field ・To popularize MGD researches, we need to work together with researchers and experts in related fields. Revolution of GIS by MGD
  83. 83. We established Micro Geo Data Forum in 2011. If you want to know about Micro geo data and this forum in detail, please visit our webpage. http://geodata.csis.u-tokyo.ac.jp/ Micro Geo Data Forum 83
  84. 84. 84 There are many researches and publications using MGD from our forum From 2011… Peer reviewed papers: 10 (Domestic: 6, International: 4) Papers: over 50 Awards: 8 (GISA research encourage award, JSPRS award, ACRS innovation award, etc.) Magazines: GIS NEXT(15 times), Regional development etc. Medias: NHK Special “Disaster big data file3.” (Mar. 2, 2014) Magazines Medias Awards
  85. 85. Mobmap; MGD visualization and analysis software 85 This is the GIS application on Google chrome. A member of our forum is developing now (Mr. Ueyama, Researcher of CSIS, The Univ. of Tokyo). http://shiba.iis.u-tokyo.ac.jp/member/ueyama/mm/
  86. 86. Thank you for your kind attention <Contact> Yuki Akiyama(aki@iis.u-tokyo.ac.jp) Assistant professor Earth Observation Integration and Fusion Research Institute (EDITORIA) The University of Tokyo URL: http://shiba.iis.u-tokyo.ac.jp/member/akiyama/ (You can download some my papers and slides) Web page of Micro Geo Data Forum http://geodata.csis.u-tokyo.ac.jp/wp/ Search「秋山祐樹」or” akiyama.yuuki”! 끝까지 경청해 주셔서 감사합니다.

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