TY - GEN
T1 - Changing climate, changing behavior
T2 - 9th Conference of the European Social Simulation Association, ESSA 2013
AU - Filatova, Tatiana
AU - Bin, Okmyung
PY - 2014
Y1 - 2014
N2 - Spatial econometrics and analytical spatial economic modeling advanced significantly in the recent years. Yet, methodologically they are designed to tackle marginal changes in the underlying dynamics of spatial urban systems. In the world with climate change, however, abrupt sudden nonmarginal changes in economic system are expected. This is especially relevant for urban development in coastal and delta areas where the probabilities of natural hazards such as catastrophic floods and hurricanes increase dramatically with climate change. New information about risks and micro-level interactions among economic agents alters individual location choices and impacts urban land markets dynamics potentially leading to the emergence of critical transitions from the bottom-up. We address this gap by incorporating adaptive expectations about land market dynamics into a spatial agent-based model of a coastal city. We build upon the previous research on agent-based modeling of urban land markets, and make a step forward towards empirical modeling by using actual hedonic study and spatial data for a coastal town in North Carolina, USA. Decentralized urban market with adaptive expectations about property prices in the areas with increasing hazard probabilities, may experience abrupt changes that shift the trends of spatial development and pricing.
AB - Spatial econometrics and analytical spatial economic modeling advanced significantly in the recent years. Yet, methodologically they are designed to tackle marginal changes in the underlying dynamics of spatial urban systems. In the world with climate change, however, abrupt sudden nonmarginal changes in economic system are expected. This is especially relevant for urban development in coastal and delta areas where the probabilities of natural hazards such as catastrophic floods and hurricanes increase dramatically with climate change. New information about risks and micro-level interactions among economic agents alters individual location choices and impacts urban land markets dynamics potentially leading to the emergence of critical transitions from the bottom-up. We address this gap by incorporating adaptive expectations about land market dynamics into a spatial agent-based model of a coastal city. We build upon the previous research on agent-based modeling of urban land markets, and make a step forward towards empirical modeling by using actual hedonic study and spatial data for a coastal town in North Carolina, USA. Decentralized urban market with adaptive expectations about property prices in the areas with increasing hazard probabilities, may experience abrupt changes that shift the trends of spatial development and pricing.
UR - http://www.scopus.com/inward/record.url?scp=84901008617&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-39829-2_22
DO - 10.1007/978-3-642-39829-2_22
M3 - Conference contribution
AN - SCOPUS:84901008617
SN - 9783642398285
T3 - Advances in Intelligent Systems and Computing
SP - 249
EP - 258
BT - Advances in Social Simulation - Proceedings of the 9th Conference of the European Social Simulation Association, ESSA 2013
PB - Springer
Y2 - 16 September 2013 through 20 September 2013
ER -