Empirical Methods and Data Sources
A key module explains : labor pooling, input sharing, knowledge spillovers. Yet, too much density causes congestion and rising costs. The notes typically present a diagram of optimal city size where marginal social benefit equals marginal social cost. Real-world examples (e.g., Silicon Valley vs. Rust Belt) illustrate these forces. urban and regional economics lecture notes pdf
: Focuses on the spatial structure of individual cities. Key themes include market forces in city development, land-use patterns, housing markets, and local government finance. Empirical Methods and Data Sources A key module
The model posits that land prices and population density are functions of distance from the CBD. Because commuters must pay transportation costs (both monetary and time) to reach the CBD, land further from the center is less desirable. To compensate, land prices fall as distance increases. This creates a "bid-rent curve," where different land users—commercial, industrial, and residential—compete for locations. Commercial entities bid the highest for central locations due to high accessibility needs, while residents bid for peripheral locations where land is larger and cheaper. This model effectively explains the gradient of land prices and the phenomenon of suburbanization as transportation costs decline (e.g., through highway construction or remote work), leading to a "flattening" of the bid-rent curve. Real-world examples (e