- Srinath Ravulaparthy, Citilabs Inc.
Representation of agents (regional population, business establishments and land developers) and their associated activities in integrated models of land use and transportation is increasingly becoming disaggregate, thereby requiring the corresponding spatial environment also to be represented in much finer detail. This representation greatly benefits by comprehensively operationalizing and emphasizing the critical element of “location” in better understanding the spatial behavior of these agents and their interactions.
In this seminar, I will present an integrated framework in capturing these agents and their decision-making processes that serve as microfoundations to large-scale simulation models for regional planning and policy purposes. Specifically, I will focus on methods and approaches to reduce the complex spatial environment in which these agents operate and interact. It is particularly important to capture these interactions as these agents would eventually shape the future urban landscape in the form of spatial distribution of population, economic activity, and land development. This distribution ultimately impacts regional activity and travel patterns, leading to aspects of spatial segregation and inequitable access to opportunities among others as a result. I will also make a case to incorporate these concepts and principles into integrated urban models that are now being championed to assess policy impacts mainly oriented toward sustainable, smart and efficient systems.
About the Speaker:
Srinath Ravulaparthy is a Distinguished Fellowship Candidate. Currently working as a Senior Data Scientist with Citilabs Inc., he has extensive background in research and practice in transportation planning and modeling. He has authored and coauthored many research articles in areas of integrated land-use and transportation modeling and simulation, travel behavior analysis, regional science and computational statistics.