1. at source ◆ Essential to analyze characteristics of waste generation at source, but - difficult to grasp waste amount by actual measurement in Japan - high population density - curbside collection ACTUAL CONDITION AND SPECIFICATION ANALYSIS ON “SPHERE OF INFLUENCE” OF WASTE COLLECTION POINT BY MUTUAL EXPLOITATION OF GPS AND GIS Shinya Suzuki*, Miho Saito*, Yasushi Matsufuji*, and Kazuo Yamamoto** *Department of Civil Engineering, Fukuoka University **Environmental Science Center, University of Tokyo ssuzuki@fukuoka-u.ac.jp 8-19-1, Nanakuma, Johnan-ku, Fukuoka, 814-0180, Japan E-mail: ssuzuki@fukuoka-u.ac.jp 1. INTRODUCTION 2. MATERIALS AND METHODS 3. RESULTS AND DISCUSSIONS 4. CONCLUSIONS 3.1 Actual condition on “sphere of influence” for waste collection point 3.2 Feasibility analysis on waste amount monitoring based on “sphere of influence” 3.3 Specification analysis on “sphere of influence” a) Pattern A (“curbside”, “door to door”) b) Pattern B (“bring”, “station” collection system) 2. CONCEPT ◆ Mutual exploitation GPS - Global Positioning System (GPS) GIS - Geographic Information System (GIS) GIS ◆ Analysis using GIS GPS ◆ Recording using GPS ( ● ) - route of collection vehicle photo electronic sensor ◆ Utilization of photo electronic sensor ( ● ) - react while waste bag thrown in - identify collection point - estimate waste amount collected sphere of influence”waste collection point ◆ Analysis on “sphere of influence” for waste collection point ( ■ ) - identify waste generator in each collection point ◆ To accomplish “sophisticated” municipal solid waste management GIS Data base on waste collection point Attribute data - log data “photo electronic sensor” reacted Attribute data - log data “photo electronic sensor” reacted × ○ lowhigh cost nearfar distance distancecost ◆ need to consider not only “distance” but also “cost” -barrier: river, side ditch, fence, etc. -route:road ◆ Application of “Arc GIS Spatial Analyst” accumulated minimum value -calculation of accumulated minimum value of cost and distance Assumed cost ◆ just need to consider “distance” - detection of shortest distance combination ◆ Not all roads are used as collection route width of road -width of road apartment house -apartment house ◆ 2 patterns exist curbside39% -pattern A: curbside, door to door collection (39%) bring61% -pattern B: bring, station collection (61%) photo electronic sensor ◆ photo electronic sensor reacts 10m - within 10m from each waste collection point, but - not all of them reacts in shortest distance area sphere of influence ◆ By introducing summation method based on “sphere of influence” for waste collection point sum up - sum up waste collection point nearby shortest distance area - count number of sensor point within shortest distance area ◆ Application of basic GIS function 90% - matched 90% of household 76% ◆ matched 76% of household -high percentage of matching -factor other than shortest route sphere of influence ◆ We analyzed specification of “sphere of influence” for waste collection point of each household by using GIS - 2 patterns exist; curbside distance90% pattern A (curbside collection system)just consider “distance”matched 90% of household bringcost76% pattern B (bring collection system)consider not only distance but also “cost”matched 76% of household GPSGIS ◆ We clarified effectiveness of waste amount monitoring method by exploitation of GPS and GIS sphere of influence - based on “sphere of influence” for waste collection point photo electronic sensor ◆ photo electronic sensor reacts; 10m99% - within 10m from each waste collection pointsum upmatched 99% of regression - detailed, long-term data accumulation - utilization of “traceability” - through real grasping of waste collection process - detailed, long-term data accumulation - utilization of “traceability” - through real grasping of waste collection process Waste amount monitoring system using GPS and GIS GPS log on collection vehicle Location characteristics - density - shortest distance area Location characteristics - density - shortest distance area Location characteristics -distance from each waste collection point Location characteristics -distance from each waste collection point Waste amount - identification of each collection area Waste amount - identification of each collection area Attribute data - household income etc. Attribute data - household income etc. Sphere of influence - specification Sphere of influence - specification 1) Household income For example, 3) Mixing of commercial waste 2) Distance from household to waste collection point 2) Distance from household to waste collection point sour ce municipality Collection efficiency Field survey ◆ Field survey of actual condition on “sphere of influence” for waste collection point - factor on routing for collection vehicle - relation ship between collection route and sphere of influence Feasibility analysiswaste amount monitoring ◆ Feasibility analysis on waste amount monitoring based on “sphere of influence” - location characteristics between waste collection point and reaction point of photo electronic sensor - buffering - voronoi tessellation Specification analysis ◆ Specification analysis on “sphere of influence” using GIS - a) pattern A - b) pattern B see 3.1 see 3.2 see 3.3