Energized crowding doesn't just describe the condition of life in cities - it describes the basic social forces that lead cities to grow and to transform life and society. This is the basis of the work on settlement scaling by the Social Reactors Project: me and Jose Lobo at Arizona State University, Scott Ortman at the University of Colorado, and Luis Bettencourt at the Santa Fe Institute. Check out our website. In our model, the process of energized crowding turns cities into social reactors.
As the number of people in a settlement increases, the number of potential social interactions grows at an exponential rate (see graph). As settlements grow larger, the effects of social interaction are amplified. These include positive, negative, and neutral effects. Let's start with the negative side of things. As we as individuals have to deal with more and more people, we get overloaded. Too many people, too much going on. This is called scalar stress. Some of the effects are highly negative--more people means more crime, more poverty, more social alienation. But scalar stress is offset by one of the big "nuetral" effects of growing settlement: the formation of neighborhoods. As cities grow, people adjust their activities so that they can live life on a smaller scale--the neighborhood. As I have said many times in this blog, neighborhoods are one of the very few universals of the urban experience. Here are a few posts on this (out of many.....):
- How do neighborhoods form?
- Why do all cities have neighborhoods?
- Archaeology and pink flamingos in Chicago neighborhoods
But it turns out that the positive effects of concentration and energized crowding are not limited to the modern industrial economy. In fact, they occur in cities before the industrial revolution, whether medieval European cities, or cities in the Roman or Inka empires. This fact alone shows that these effects are not due to factories, wage labor, advanced transportation, or other attributes of modern economies. In fact, these effects arise primarily out of the very act of social interaction within the built environment.
This realization was a real breakthrough in our understanding of the nature of city size and its role in generating the social and economic properties of cities. The key paper is Bettencourt (2013). Luis derives a quantitative model that predicts characteristics of cities based on their sizes, within a given region or urban system. The beauty of the model is that its conditions are general enough to fit cities before the modern era. In fact they also should work for non-urban settlements in agricultural village societies (and they do!).
Below is my diagram of energized crowding (from Smith 2017). When population grows, leading to higher densities, energized crowding increases. This can happen from regional population growth, or it can arise from the process of people moving into cities. The three results shown here are the negative, neutral, and positive outcomes of energized crowding.
In the time since Luis's 2013 article, our group has been scouring archaeology and history for cases where we can try out the model. Scott Ortman initiated this work with his studies of the settlement in the prehispanic Basin of Mexico. We've published a number of studies, and a bunch more are in the pipeline. Scott has even found the same scaling effects in village societies. The data requirements are heavy (a sample of 30 or more settlements from a given region and time period, with population estimates and other quantitative data to scale against population). If you think you know of any such cases, please let me know!
We have found the same quantitative relationships in modern and ancient settlement systems. This suggests that the same or very similar fundamental social processes operate when humans come together in settlements, whether today or two thousand years ago. Energized crowding--which is at a much higher level in larger settlements--has measurable effects on the density of settlement, and on the levels of economic and social outputs. In this figure, Graph A shows economic output measures for the modern U.S. economy, while Graph B shows wealth output for the ancient Inka economy. Quantitatively these two graphs are nearly identical. Both exhibit "superlinear scaling," with beta coefficients of 1.13.
So, how far can we push these relationships? Are they universal? Well, not quite. Hunter-gatherer campsites show very different patterns from the agricultural societies we have studied so far. This is something we are working on now. But for most systems we have examined, we find similar patterns, and when we apply Luis's model, we conclude that energized crowding turns settlements into social reactors.
For some other posts on the scaling work, see:
See our project website for more information.
Bettencourt, Luís M. A. 2013 The Origins of Scaling in Cities. Science 340: 1438-1441.
Cesaretti, Rudolf, Luís M. A. Bettencourt, Jose Lobo, Scott Ortman, and Michael E. Smith 2016 Population-Area Relationship in Medieval European Cities. PLOS-One: 11:(10) e162678. .
Ortman, Scott G., Andrew H.F. Cabaniss, Jennie O. Sturm, and Luís M. A. Bettencourt
2014 The Pre-History of Urban Scaling. PLOS-one 9 (2): e87902.
2015 Settlement Scaling and Increasing Returns in an Ancient Society. Science Advances 1 (1): e1400066.
Ortman, Scott G. and Grant D. Coffey 2015 Universal Scaling: Evidence from Village-Level Societies. SFI Working Paper, vol. 15-10-044. Santa Fe Institute, Santa Fe.
Ortman, Scott G., Kaitlyn E. Davis, José Lobo, Michael E. Smith, Luis M.A. Bettencourt, and Aaron Trumbo 2016 Settlement Scaling and Economic Change in the Central Andes. Journal of Archaeological Science 73: 94-106. .
Smith, Michael E. 2017 The Generative Role of Settlement Aggregation and Urbanization. In Coming Together: Comparative Approaches to Population Aggregation and Early Urbanization, edited by Attila Gyucha. State University of New York Press, Albany.
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