Saving Rapid Urbanizing Cities using the FOSS4G Based Spatial Analysis for Urban Development
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| Number of Parts | 183 | |
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| License | CC Attribution - NonCommercial - ShareAlike 3.0 Germany: You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this | |
| Identifiers | 10.5446/32116 (DOI) | |
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| Production Year | 2015 | |
| Production Place | Seoul, South Korea |
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00:00
Endliche ModelltheoriePresentation of a groupInformationLine (geometry)Medical imagingOffice suiteSeries (mathematics)Population densitySoftware developerSystem callUniverse (mathematics)Division (mathematics)Moment (mathematics)Forcing (mathematics)PlastikkarteOpen sourceComputer animation
01:53
HypermediaFlow separationSoftware testingTask (computing)Fitness functionSoftwareWeight functionCASE <Informatik>Coordinate systemSummierbarkeitFunktionalanalysisState of matterOffice suitePattern languageCausalitySimilarity (geometry)Total S.A.StatisticsRule of inferenceOpen setElement (mathematics)OracleReal numberAreaError messageNichtlineares GleichungssystemOperator (mathematics)Product (business)Library (computing)Arithmetic meanLine (geometry)SpacetimeOpen sourceMeasurementCivil engineeringObservational studyImplementationWorkstation <Musikinstrument>Computer programAdditionElectric generatorEndliche ModelltheorieKeyboard shortcutPresentation of a groupTransportation theory (mathematics)Core dumpSlide ruleMereologyPrice indexIntegrated development environmentTheorySoftware developerLevel (video gaming)Personal digital assistantPhysical systemVideoconferencingMultiplication signInformation overloadStandard deviationForm (programming)Public domainElectronic mailing listSet (mathematics)MultilaterationVulnerability (computing)Traffic reportingExtension (kinesiology)Green's functionPlastikkarteCartesian coordinate systemSelf-organizationField (computer science)UsabilityExpert systemTheory of relativityProjective planeDecision support systemTime seriesInclusion mapObject (grammar)DiagramComputer animation
11:14
BitUniform resource locatorAuthorizationElectronic program guideMeasurementMathematical analysisCASE <Informatik>Projective planeView (database)Information systemsPhysical lawWebsiteTransportation theory (mathematics)Rule of inferenceOpen sourceIdentity managementGreatest elementCartesian coordinate systemPhysical systemSoftware developerPattern languageSoftwarePlastikkarteCall centreState of matterCanonical ensembleForm (programming)Data structureFile formatInformationMachine visionThumbnailDivision (mathematics)Type theoryOscillationLimit (category theory)Set (mathematics)Medical imagingSpacetimeProcedural programmingSelf-organizationMultiplication signReal numberMathematical analysisGroup actionMassAddress spacePresentation of a groupMappingResultantGoodness of fitOpen setHydraulic motorPartial derivativeCategory of beingGreen's functionTime zoneConstructor (object-oriented programming)Texture mappingDigital signalComputer animation
17:17
Revision controlPerspective (visual)Rule of inferenceFunktionalanalysisQuicksortPlastikkarteProjective plane
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PlastikkarteRevision controlSoftwareAdaptive behaviorEvent horizonVideo gameService (economics)Open sourceThermal expansionSummierbarkeitUniform resource locatorInformationVisualization (computer graphics)ACIDOperator (mathematics)Identity managementDataflowLocal ringCAN bus
20:29
Computer animation
Transcript: English(auto-generated)
00:04
Thank you, my name is Choi Choo Jung, I am a L.H. employee and a member of the Special Information Office of L.H. L.H. provide land and affordable housing to Korean people and also as a special information division and also UCT division, there is a kind of
00:30
smart city in Korea. My presentation is about open source GIS and rapidly urbanizing cities
00:47
and U.N. SDG. This year is very special year because the existing U.N. MDG, Millennium Development Goals and this year and next to 17 new goals, sustainable development goal,
01:05
start from next year until 2030. Also this year is pivotal year and this topic is very meaningful to the people around the world and also open source community because open
01:23
source is very open to people and all around the industry. My presentation consists of four several topics. First is sustainable development goals and open source GIS and
01:43
benefits of open source in our field and third, post-post for rapidly urbanizing cities and lastly, what can we do for the future. This picture symbolized 17 goals of U.N.
02:04
Sustainable Development Goals and also it has objectives to describe the 17 goals such as sustainable, resilience, equitable, inclusive. 17 goals, U.N. Sustainable Development Goals,
02:24
70 goals are not new goals because it also include existing, 87 U.N. Development, U.N. Millennium Development Goals and what is needed to achieve the U.N. SDG goals and
02:41
how to achieve the goals. I think the open source and open data can contribute the worldwide SDG goals and we need to know the efficiency of open source technology. If it is useful then we need to share the experience. Some report told about the role of GIS in SDG.
03:08
SDG and Sustainable Development Solution Network report said GIS role in SDG, that is GIS provide
03:20
the data or statistics in geographic detail and also it provide this aggregated way by geography and another report, Rio plus 20 alchemy document said the future we want to specify or recognize the importance of space technology based data in situ, meaning
03:41
and reliable geospatial for sustainable development, policy making, program and project operation. In this sense, open source GIS can have a very important role in achieving the U.N. SDGs.
04:02
In some aspect, discussions about the role of ICT as a tool for achieving SDGs and development effectiveness of ICT in the International Development Corporation, so GIS is one of the ICT technologies, so its role is similar to that in the development
04:22
effectiveness of International Development Corporation and also many ODA, multilateral or multilateral or bilateral use the ICT in the cooperation with developing countries and the open source community, Jupo World Movement by ICN, OSGA initiative is very
04:45
well run initiative and also GIS open source data and software get more and more attention as a competing measures for SDGs. In this presentation, I'm not dealing with
05:05
the older SDG goals but the very, the open related goals, I want to deal with the open related goals such as SDG 11 and SDG 9, SDG 11 is about making cities and human settlement
05:25
and SDG 9 is about industrialization. When we call the open policy for the developing country, some experts say that it is needed that there is new generation of national
05:46
open policies and open patterns for green economy through city region planning and creating sustainable urban space through planned city extensions and implementation through land re-adjustment. Land re-adjustment is a very good technique
06:05
for urban development in developing countries, so we are achieving this goal, we need some measures such as indicators and those indicators uses statistics, text data and in that sense
06:25
SDG GIS can in helping to measure the SDG goals, SDG indicators for SDG goals for developing countries, so by doing that we can achieving the urban prosperity.
06:47
This slide shows the SDG goal 11, SDG goal 9, that is affordable housing, transportation, transport system and disaster and green and public spaces and goal line is about
07:08
infrastructure and industrialization and especially goal 17 is about supporting goal that is strengthen the means of implementation and revitalize the global partnerships.
07:24
I diagram the SDG 11 goals and indicates into this field diagram that there is SDG 11 making cities and human settlement is consist of some sub-goals such as transport,
07:44
open space, disaster, housing, heritage, the environment and so on and it is sub-goals as some indicators and that indicators has some special pattern and some special data
08:02
and we can using the GIS to quantify this indicators by geographically and by this aggregated manner, so GIS open source software and data can collectively collecting
08:21
various time series spatial data such as population, housing, land cover, environmental, ecological, infrastructure, river and also if we use the open data then we can easily access the data and also in both we can contribute to the open source data community
08:47
to provide the public domain data that can has some accountability and but developing country has a weak data infrastructure especially spatial data infrastructure so in that case
09:04
we use another data forms, data sets such as remotely sensed data and also we consider the technologies issues such as standardization like coordinate systems and data.
09:22
This kind of GIS can have the decision support in developing country and in many cases open planning and openization issues deals with the open pattern. This is the open patterns of city of Seoul, Paris, LA, New York and we can see how
09:48
the city is configured and then we predicted it will be openized in the future and that GIS can find this pattern very easily.
10:05
Also this kind of technology, open source data and open source software can develop it in some ways we can see these benefits into a city category, functional,
10:20
public, economic and functional value has some maturity of open source software and fit of task and usability and in the public value we achieve achievement of self-reliance technology in developing country that needs spatial technology
10:48
and economic value we can get a TCO, total cost of ownership so in this benefits can very useful in urban field such as organization and urban planning
11:06
and also the other kind of application such as smart cities, new cities. We can rapidly openize cities from traditional urban structure from
11:27
motorization to currently ICT, public society so this society cannot predict where because it is a vastly changing society and this society has many
11:45
problems such as housing shortage to community spirit and in Korea we developed many systems for urban application, urban information systems
12:06
and many of those systems is developed by the Korean government and LH also helped this application to be developed and this data has some
12:22
categories that is national spatial information, land policy information, housing policy information and urban policy information. It is possible by the spatial data infrastructures such as partial data,
12:41
housing data and other kind of digital data construction by the national spatial data infrastructure project. So traditionally we are tackling these issues using the GIS, traditional GIS so we constructed many kind of
13:04
summating maps such as developed restricted zone that is a kind of green belt and open plan information and also other kind of useful information was constructed to solve these issues but in the developing
13:23
countries those summating maps are not possible so in many cases we use the remotely sensitive data so for example we want to
13:41
diagnose the urbanization of Santa Cruz, Bolivia then we have enough data about urban patterns so then we use the remotely sensitive data to diagnose the urbanization phenomena.
14:02
In recently Korean government also developed procedure, new kind of project such as spatial big data that is big data and big data is
14:21
mapped onto the spatial information so we can composing the big data into the geospatial information so we can pilot project so in some cases we have a very good result but we have one
14:46
question, could big data provide alternative measures for this presentation's topic such as to solve the urbanization issues in
15:01
developing countries such as poverty and welfare. There is some one big question but in Korea we can solve such issues using the big data that is we use big data to get
15:24
location analysis to provide affordable housing and there is a we already have a registered address for all the people but some
15:41
people are live in unregistered place then we can predict using the big data such as mobile phone data and in mass transit planning we use the transportation smart card to predict the origin destination.
16:00
Traditional origin destination is using some mathematical analysis but this is a real origin destination data so we can get some real pattern of the people's moving.
16:23
In urban application, in other developing countries, they use many open source software and data and it has many good results but in Korea still we didn't fully use
16:44
the open source software and data but if we use open source data then it can easily be accessible to many people and this is pilot study for the urban plan information system
17:00
in Korea to develop onto the big map or open street map using the open source software. Lastly, existing application is just analysis but in the future open source data can contribute to more things.
17:22
So this is Korean version of Smart City, UCT. UCT is originally constructed into the new town but it is a large amount of money is invested on the infrastructure.
17:43
So especially in LHC, my company invested many new town project and also developed smart city such as Sejong, Multifunctional Administrative City, Yongjeong, and Paju. But most of the project is invested in the infrastructure
18:02
so we needed some other kind of perspective. This is another UCT, Korean version of Smart City. It is not a new town existing city, it is a young city
18:23
about south of Seoul and its main role of Smart City is in the UIOC, Urban Information Operating Center, and it mainly has more than 3,000 CCTV and it monitored
18:44
all the city using the CCTV but it's not all the CCTV, it is the sum of the CCTV in the city. The city has a plan to expanding its monitoring panel to, has a monitoring panel, yeah,
19:04
expansion of monitoring panel, yeah. So recently this kind of Smart City has developed two including the open source data and open source software, open technology. So for example, OGC Smart City Special Information Framework
19:23
has some standard and it is, that means location is primary method for organizing Smart City service and in Korea, those UCT can adapt this technology
19:41
such as open source software and data can contribute to quality of life of Korean people, yeah. Lastly, after the seminar, LHC will MOU with OSGEO. This means LHC including the public sector
20:04
has more attention to the open source software and data and can, this small event can contribute to public sector too, adapt and activate other activities in Korea, yeah.
20:24
Thank you.