TY - JOUR
T1 - PARKAGENT
T2 - An agent-based model of parking in the city
AU - Benenson, Itzhak
AU - Martens, Karel
AU - Birfir, Slava
PY - 2008/11
Y1 - 2008/11
N2 - In this paper, we present PARKAGENT, an agent-based, spatially explicit model for parking in the city. Unlike traditional parking models, PARKAGENT simulates the behavior of each driver in a spatially explicit environment and is able to capture the complex self-organizing dynamics of a large collective of parking agents within a non-homogeneous (road) space. The model generates distributions of key values like search time, walking distance, and parking costs over different driver groups. It is developed as an ArcGIS application, and can work with a practically unlimited number of drivers. The advantages of the model are illustrated using a real-life case from Tel Aviv. Taking detailed data from field surveys, the model is used to study the impact of additional parking supply in a residential area with a shortage of parking places. The PARKAGENT model shows that additional parking supply linearly affects the occurrence of extreme values, but has only a weak impact on the average search time for a parking place or the average walking distance between the parking place and the destination.
AB - In this paper, we present PARKAGENT, an agent-based, spatially explicit model for parking in the city. Unlike traditional parking models, PARKAGENT simulates the behavior of each driver in a spatially explicit environment and is able to capture the complex self-organizing dynamics of a large collective of parking agents within a non-homogeneous (road) space. The model generates distributions of key values like search time, walking distance, and parking costs over different driver groups. It is developed as an ArcGIS application, and can work with a practically unlimited number of drivers. The advantages of the model are illustrated using a real-life case from Tel Aviv. Taking detailed data from field surveys, the model is used to study the impact of additional parking supply in a residential area with a shortage of parking places. The PARKAGENT model shows that additional parking supply linearly affects the occurrence of extreme values, but has only a weak impact on the average search time for a parking place or the average walking distance between the parking place and the destination.
KW - Agent-based modeling
KW - GIS
KW - On-street parking
KW - Parking
KW - Residential parking
KW - Spatially explicit modeling
UR - http://www.scopus.com/inward/record.url?scp=56249122561&partnerID=8YFLogxK
U2 - 10.1016/j.compenvurbsys.2008.09.011
DO - 10.1016/j.compenvurbsys.2008.09.011
M3 - מאמר
AN - SCOPUS:56249122561
VL - 32
SP - 431
EP - 439
JO - Computers, Environment and Urban Systems
JF - Computers, Environment and Urban Systems
SN - 0198-9715
IS - 6
ER -