Computational Urban Planning and Management for Smart Cities

Prof. Stan Geertman is a Professor of Planning Support Science and Chair of Spatial Planning at Utrecht University. He has published widely in both national and international journals and has edited a range of books. He is also editor of the international peer-reviewed journal ASAP (Applied Spatial Analysis and Policy) and serves on the editorial boards of several other scientific journals, including CEUS (Computers, Environment, and Urban Systems). He has been a member or chair of several international conference organizations (EGIS; JECC; AGILE-2011; DDSS; CUPUM-2013) and is currently Chair of the International Board of Directors of CUPUM (Computers in Urban Planning and Urban Management). He has participated in numerous interdisciplinary research projects, ranging from ‘Climate change and sustainable land use’ to ‘Spatial economic deconcentration’. He was scientific director of a spin-off of Utrecht University (Nexpri) for ten years and was one of the founding fathers and first program director of the inter-university (TUD, WUR, UU, ITC) Master program GIMA (Geographical Information Management and Applications). Since 2012 he has led the research program for Spatial Planning at Utrecht University.

• Computational Planning and Management for Smart Cities: An Introduction.- Sejong Smart City: on the Road to be a City of the Future.- Data Protection Law and City Planning: Role of Open Data in Climate Resilience and Governance of National Capital Territory of Delhi, India.- Exploring Shared-Bike Travel Patterns Using Big Data: Evidence in Chicago and Budapest.- Can Social Media Play a Role in Urban Planning? A Literature Review.- Bridging the Information and Physical Space: Measuring Flow from Geo-Located Social Media Data on the Street Network.- Comparing Smart Governance Projects in China: A Contextual Approach.- A Preliminary Study on Micro-Scale Planning Support System.- Geodesign – A Tale of Three Cities.- Towards a Better Understanding of Urban Sprawl: Linking Spatial Metrics and Landscape Network Dynamics.- Correlating Household Travel Carbon Emissions, Travel Behavior and Land Use: Case Study of Wuhan, China.- A Simulation Platform for Transportation, Land Use and Mobile Source Emissions.- Hosting a Mega Event, a Drive Towards Sustainable Development: Dubai’s Expo 2020.- Deep Learning Architect: Classification for Architectural Design Through the Eye of Artificial Intelligence.- An Immersive 3D Virtual Environment to Support Collaborative Learning and Teaching.- Spatiotemporal Information System Using Mixed Reality for Area-Based Learning and Sightseeing.- Origin-Destination Estimation of Bus Users by Smart Card Data.- The Comparison Between Two Different Algorithms of Spatio-Temporal Forecasting for Traffic Flow Prediction.- Developing a Behavioural Model for Modal Shift in Commuting.- Planning for Safer Road Facilities for Bicycle Users at Junctions.- Method to Evaluate the Location of Aged Care Facilities in Urban Areas Using Median Share Ratio.- Identifying Changes in Critical Locations for Transportation Networks Using Centrality.- Efficient Regional Travel for Rescue and Relief Activities in a Disaster.- A Two-Stage Process for Emergency Evacuation Planning: Shelter Assignment and Routing.- A Comprehensive Regional Accessibility Model Based on Actual Routes-of-Travel: A Proposal with Multiple Online Data.- Taxi Behavior Simulation and Improvement with Agent-Based Modelling.