• Title/Summary/Keyword: Geospatial Information Location Service

Search Result 37, Processing Time 0.017 seconds

A Study on the Optimization of Suwon City Bus Route using GWR Model (GWR모델 이용한 수원시 일반버스노선 최적화에 관한 연구)

  • Park, Cheol Gyu;Cho, Seong Kil
    • Journal of Korean Society for Geospatial Information Science
    • /
    • v.22 no.1
    • /
    • pp.41-46
    • /
    • 2014
  • Bus service is easily adjusted to accommodate the changed demand. Despite the flexibility of that, its relocation should overcome the following problems: first, Bus line rearrangement should consider the balance between the demand and the supply to enhance the transit equity among the users scattered around the area that supply against demand imbalances. Second, the existing demand analysed is to crude since the demand was analysed based on TAZ. mainly based on the Dong unit. Utilization of the GWR and GIS-T data can resolve the problem. In this paper, the limitation of the conventional transit demand analysis model is overcome by deploying the GWR model which identifies the transit demand based on the geographic relation between the service location and those of the users. GWR model considers the spatial effect of the bus demand in accordance with the distance to the each bus stops using SCD(Smart Card Data) and BIS(Bus Information System). This demand map was then superimposes with the existing bus route which identified the areas where the balance between demand and supply is severly skewed. since the analysis was computed with SCD and BIS at every bus stops. the shortage and surplus of bus service of entire study area could computed. Further. based on this computational result and considering the entire bus service capacity data. Bus routes optimization from the oversupplied areas to the undersupplied area was illustrated thus this study clearly compared the benefits the GIS.

Fire District Adjustment for Improving Fire Service Vulnerable Areas in Jinju (진주시 소방서비스 취약지역 개선을 위한 소방권역 조정)

  • Yoo, Hwan Hee;Koo, Seul
    • Journal of Korean Society for Geospatial Information Science
    • /
    • v.21 no.1
    • /
    • pp.19-26
    • /
    • 2013
  • This study analyzed the vulnerable areas to the fire service in regard to 119 safety centers, currently established in Jinju city. In this study, the district of fire was examined through the analysis of the OD cost matrix to find the transference or increase methods of the existing centers for improving the fire services. The study results demonstrate that the numbers of 119 safety centers were lacking in comparison with the areas of the administrative district in Jinju. In particular, relocation and the transference or increase of centers were required for the Cheonjeon 119 safety centers, which is the creation area of the National Industrial Complex among five 119 safety centers located in Jinju, and the fire service jurisdiction of Munsan 119 safety centers (including Banseong 119 regional unit), which is the location of a big fire risk due to the increase of population according to the development of the new town. In addition, the OD cost matrix analysis in this study reveals the fact that the time of fire service in the Jeonchon Industrial Complex, which is the significantly vulnerable area, will be reduced from 8 minutes to 3.3 minutes if the current Cheonjeon 119 safety center is moved to Gaho-dong. It indicates that the increase of safety centers in Geumsan-myeon areas, where the population has increased rapidly in recent days due to the development of the new town, is keenly needed.

Quality Control Scheme of GIS-based Bus Network for Stabilization of BIS - Focusing on Real-Time Public Transportation Information (BIS 안정화를 위한 버스기반정보 GIS DB 품질 관리 방안 - 실시간 환승교통 종합정보 시스템을 사례로)

  • Ju, Yong-Jin;Ham, Chang-Hak
    • Journal of Korean Society for Geospatial Information Science
    • /
    • v.20 no.1
    • /
    • pp.33-41
    • /
    • 2012
  • BIS is an arrival guidance system which is able to supply passengers with bus service condition via Kiosks at a bus stop, internet and mobile service through pinpointing bus location in real time. It is very significant to improve the quality of traffic information by quality control of GIS-based bus network so as to maintain navigational information and to implement reliable BIS. Therefore this study aims to build criteria to quantitatively evaluate data quality of the product in accordance with the process in bus network data and to suggest guideline of quality control. To achieve this, we have categorized geometric and logical errors occurring during constructing bus network database by giving a specific case study on TAGO and set up sectional guideline and procedures to examine database for systematic and coherent quality control management. Proceeding from what has been said above, the outcome of our research leads to quality guarantee for objective and reliable bus network database and is fully expected to bring benefit of providing a more accurate public transportation information and improving reliability of BIS through preventing a variety of errors in system operation in advance.

Spatial-Sensor Observation Service for Spatial Operation of GeoSensor (GeoSensor의 공간연산을 확장한 Spatial-Sensor Observation Service)

  • Lee, Hyuk;Lee, Yeon;Chung, Weon-Il;Bae, Hae-Young
    • Journal of the Korea Society of Computer and Information
    • /
    • v.16 no.11
    • /
    • pp.35-44
    • /
    • 2011
  • Advances in science and technology have made a lot of changes in our life. Especially, sensors have used in various ways to monitor in real time and analyze the world effectively. Traditional sensor networks, however, have used their own protocols and architecture so it had to be paid a lot of additional cost. In the past 8 years, OGC and ISO have been formulating standards and protocols for the geospatial Sensor Web. Although the OGC SWE initiatives have deployed some components, attempts have been made to access sensor data. All spatial operations had to calculate on the client side because traditional SOS architecture did not consider spatial operation for GeoSensor. As a result, clients have to implement and run spatial operations, and it caused a lot of overload on them and decreased approachableness. In this paper we propose S-SOS for in-situ and moving GeoSensor that extends 52 North SOS and provides spatialFilter and spatialFinder operations. The proposed S-SOS provides an architecture that does not need to edit already deployed SOSs and can add spatial operations as occasion. Additionally we explain how to express the spatial queries and to be used effectively for various location based services.

Study on the Integration of MMS and Airborn Survey Data for the Implementation of Precise Road Spatial Database (정밀도로공간정보 구축을 위한 지상 MMS 측정자료와 항공측량자료의 결합방법 연구)

  • Hwang, Jin Sang;Kim, Jae Koo;Yun, Hong Sik;Jung, Woon Chul
    • Journal of Korean Society for Geospatial Information Science
    • /
    • v.23 no.2
    • /
    • pp.97-104
    • /
    • 2015
  • Due to the introduction of various IT devices, including the recently smartphones and the widespread use of the car navigation system to the location-based information service space has been increased. Spatial information users have been requiring higher levels of quality. In this paper, we study how to build accurate three-dimensional space information by integrating MMS(Moblie Mapping System) survey and airborne survey data. Thus, to analyze the tendency of deviation between the MMS survey and airborne survey data observed in the experimental region, the deviation tendency of the data, it was confirmed that was not consistent. Deviation correction model to select how to change the georeferencing information directly contained in the GPS/INS processing results for the determination, classifies the standard is a method for acquiring the correction reference point coordinates using the calibration model, and analyzed their advantages and disadvantages. With the information of the reference point obtained by airborne photograph of a project, using the method of correcting the MMS survey data. Not only clear the deviation existing between the MMS survey data, it was possible to confirm that the deviation exists between the airborne survey data and MMS survey data was also almost erased.

A study of Establishment on Radiomap that Utilizes the Mobile device Indoor Positioning DB based on Wi-Fi (Wi-Fi 기반 모바일 디바이스 실내측위 DB를 활용한 라디오맵 구축에 관한 연구)

  • Jeong, In Hun;Kim, Chong Mun;Choi, Yun Soo;Kim, Sang Bong;Lee, Yun
    • Journal of Korean Society for Geospatial Information Science
    • /
    • v.22 no.3
    • /
    • pp.57-69
    • /
    • 2014
  • As of 2013, Korean population density is 505 persons per $1km^2$ and is ranked 3rd place in the most densely populated countries exception of city-states. It shows clearly the population is concentrated in the city area. To fulfil this urban concentration population demand, the enlargement and complexation of buildings, subway and other underground spaces connection tendency has been intensified, and it is need to construct the indoor spatial information DB as well as the accurate indoor surveying DB to promote people's safety and social welfare. In this study, Sadang station and Incheon National Airport were aimed for the construction of Wi-Fi AP location DB and RadioMap DB by collecting the indoor AP raw datas by using mobile device and those collected results were ran through the process of verification, supplementation, and analyzation. To evaluate the performance of constructed DB, 10 points in Incheon Airport- 3rd flr in block A, and 9 points in Sadang station-B1 were selected and calculated the estimated points and ran evaluation experiment using survey positioning error, which is distance between real position and the estimated position. The result shows that Incheon international airport's average and standard deviation was separately 17.81m, 17.79m and Sadang station's average and standard deviation was separately 22.64m, 23.74m. In Sadang station's case, the areas near the exit has low performance of surveying position due to fewer visible AP points than other areas. As total datas were examined except those position, it was verified that the user's location was mapping close position in surveying positioning by using constructed DB. It means that constructed DB contains correct Wi-Fi AP locations and radio wave patterns in object region, so it is considered that the indoor spatial information service based on constructed DB would be available.

A Study on Detection Methodology for Influential Areas in Social Network using Spatial Statistical Analysis Methods (공간통계분석기법을 이용한 소셜 네트워크 유력지역 탐색기법 연구)

  • Lee, Young Min;Park, Woo Jin;Yu, Ki Yun
    • Journal of Korean Society for Geospatial Information Science
    • /
    • v.22 no.4
    • /
    • pp.21-30
    • /
    • 2014
  • Lately, new influentials have secured a large number of volunteers on social networks due to vitalization of various social media. There has been considerable research on these influential people in social networks but the research has limitations on location information of Location Based Social Network Service(LBSNS). Therefore, the purpose of this study is to propose a spatial detection methodology and application plan for influentials who make comments about diverse social and cultural issues in LBSNS using spatial statistical analysis methods. Twitter was used to collect analysis object data and 168,040 Twitter messages were collected in Seoul over a month-long period. In addition, 'politics,' 'economy,' and 'IT' were set as categories and hot issue keywords as given categories. Therefore, it was possible to come up with an exposure index for searching influentials in respect to hot issue keywords, and exposure index by administrative units of Seoul was calculated through a spatial joint operation. Moreover, an influential index that considers the spatial dependence of the exposure index was drawn to extract information on the influential areas at the top 5% of the influential index and analyze the spatial distribution characteristics and spatial correlation. The experimental results demonstrated that spatial correlation coefficient was relatively high at more than 0.3 in same categories, and correlation coefficient between politics category and economy category was also more than 0.3. On the other hand, correlation coefficient between politics category and IT category was very low at 0.18, and between economy category and IT category was also very weak at 0.15. This study has a significance for materialization of influentials from spatial information perspective, and can be usefully utilized in the field of gCRM in the future.