?Essential to analyze characteristics of waste generation at source , but

1
WASTE AMOUNT ANALYSIS BASED ON SPHERE OF USERS
FOR 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,
Japan Environmental Science Center, University
of Tokyo, Japan 8-19-1, Nanakuma, Johnan-ku,
Fukuoka, 814-0180, Japan E-mail
ssuzuki_at_fukuoka-u.ac.jp
1. INTRODUCTION
2. CONCEPT
Waste amount monitoring system using GPS and GIS
? To accomplish sophisticated municipal solid
waste management
? Analysis using GIS

• detailed, long-term data accumulation
• utilization of traceability
• through real grasping of waste collection process

For example,
1) Household income
?Analysis on sphere of users for waste
collection point () - identify waste generator
in each collection point
GIS Data base on waste collection point
GPS log on collection vehicle

• Location characteristics
• density
• shortest distance area

• Location characteristics
• distance from each waste collection point

2) Distance from household to waste collection
point
Attribute data - log data photo electronic
sensor reacted
Attribute data - household income etc.
? Recording using GPS (?) - route of collection
vehicle
Waste amount - identification of each collection
area
Sphere of users - specification
3) Mixing of commercial waste
?Utilization of photo electronic sensor (?) -
react while waste bag thrown in - identify
collection point - estimate waste amount
collected
?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
? Mutual exploitation - Global Positioning
System (GPS) - Geographic Information System
(GIS)
Collection efficiency
3. RESULTS AND DISCUSSIONS
2. MATERIALS AND METHODS
3.1 Actual condition on sphere of users for
waste collection point
? Field survey of actual condition on sphere of
users for waste collection point - factor on
routing for collection vehicle - relation ship
between collection route and sphere of users
see 3.1
? Specification analysis on sphere of users
using GIS - a) pattern A - b) pattern B
see 3.2
? Feasibility analysis on waste amount monitoring
based on sphere of users - location
characteristics between waste collection point
and reaction point of photo electronic
sensor - buffering - voronoi tessellation
? Not all roads are used as collection
route -width of road -apartment house
? 2 patterns exist -pattern A curbside, door to
door collection (39) -pattern B bring, station
collection (61)
see 3.3
3.2 Specification analysis on sphere of users
a) Pattern A (curbside , door to door )
b) Pattern B (bring, station )
? need to consider not only distance but also
cost -barrier river, side ditch, fence,
etc. -route road
Assumed cost
? Application of Arc GIS Spatial
Analyst -calculation of accumulated minimum
value of cost and distance
? just need to consider distance - detection
of shortest distance combination
? Application of basic GIS function - matched
90 of household
3.3 Feasibility analysis on waste amount
monitoring based on sphere of users
? matched 76 of household -high percentage of
matching -factor other than shortest route
4. CONCLUSIONS
?We analyzed specification method of sphere of
users for waste collection point - 2 patterns
existed pattern A (curbside collection system
39) just consider distance matched 90 of
household pattern B (bring collection system
61) consider not only distance but also
cost matched 76 of household
? photo electronic sensor reacts - within 10m
from each waste collection point, but - not
all of them reacts in shortest distance area
?We clarified effectiveness of monitoring method
for waste amount by exploitation of GPS and
GIS - based on sphere of users for waste
collection point ?Photo electronic sensor
reacts - within 10m from each waste collection
point sum up matched 99 of regression
? By introducing summation method based on
sphere of users for waste collection point -
sum up waste collection point nearby - count
number of sensor point within shortest distance
area