2. Revisiting urban economics

OUTLINE

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• 1. Urban science: state of the art

• 2. The polycentric structure of data

          2.1. Mobile phone data         
          2.2 Patterns of commuting
          2.3. Measuring hotspots
 

• 3. Understanding polycentrism and scaling exponents

          3.1. The edge-city model (Krugman)
          3.2. Classical model: Fujita-Ogawa
          3.3. Revisiting the Fujita-Ogawa model and computing scaling exponents

• 4. Understanding mobility

          4.1. Mobility: gravity law
          4.2. The radiation model
          4.3. Relation between commuting distance and income
              1. Empirical results
              2. Testing the McCall model of job search
              3. The ‘closest opportunity’ model

• 5. Infrastructures

          5.1. Multilayer networks
          5.2. Time evolution of the road network

SLIDES

Part 1, 2 and 3 
Part 4
Part 5.2