Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 손승우 | - |
dc.date.accessioned | 2019-05-13T08:05:12Z | - |
dc.date.available | 2019-05-13T08:05:12Z | - |
dc.date.issued | 2009-08 | - |
dc.identifier.citation | PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, v. 106, No. 34, Page. 14236-14240 | en_US |
dc.identifier.issn | 0027-8424 | - |
dc.identifier.uri | http://www.pnas.org/content/106/34/14236.short | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/104076 | - |
dc.description.abstract | When a new facility like a grocery store, a school, or a fire station is planned, its location should ideally be determined by the necessities of people who live nearby. Empirically, it has been found that there exists a positive correlation between facility and population densities. In the present work, we investigate the ideal relation between the population and the facility densities within the framework of an economic mechanism governing microdynamics. In previous studies based on the global optimization of facility positions in minimizing the overall travel distance between people and facilities, it was shown that the density of facility D and that of population rho should follow a simple power law D similar to rho(2/3). In our empirical analysis, on the other hand, the power-law exponent alpha in D similar to rho(alpha) is not a fixed value but spreads in a broad range depending on facility types. To explain this discrepancy in a, we propose a model based on economic mechanisms that mimic the competitive balance between the profit of the facilities and the social opportunity cost for populations. Through our simple, microscopically driven model, we show that commercial facilities driven by the profit of the facilities have alpha = 1, whereas public facilities driven by the social opportunity cost have alpha = 2/3. We simulate this model to find the optimal positions of facilities on a real U. S. map and show that the results are consistent with the empirical data. | en_US |
dc.description.sponsorship | We thank S. Combe, M. T. Gastner and P.-J. Kim for useful discussions. This work was supported by Korea Science and Engineering Foundation Grant R01-2007-000-20084-0 (to B. J. K.), the Korean Systems Biology Program from the Ministry of Education, Science, and Technology through Korea Science and Engineering Foundation Grant M1030902000003B5002- 00000 (to H. J.). S. I. L. was supported by the Creative Research Initiative Program. We also acknowledge support from Korea Research Council of Fundamental Science and Technology and Samsung Economic Research Institute. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | NATL ACAD SCIENCES | en_US |
dc.subject | optimal positioning | en_US |
dc.subject | social opportunity cost | en_US |
dc.subject | microdynamics model | en_US |
dc.title | Scaling laws between population and facility densities | en_US |
dc.type | Article | en_US |
dc.relation.no | 34 | - |
dc.relation.volume | 106 | - |
dc.identifier.doi | 10.1073/pnas.0901898106 | - |
dc.relation.page | 14236-14240 | - |
dc.relation.journal | PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA | - |
dc.contributor.googleauthor | Um, Jaegon | - |
dc.contributor.googleauthor | Son, Seung-Woo | - |
dc.contributor.googleauthor | Lee, Sung-Ik | - |
dc.contributor.googleauthor | Jeong, Hawoong | - |
dc.contributor.googleauthor | Kim, Beom Jun | - |
dc.relation.code | 2009207877 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY[E] | - |
dc.sector.department | DEPARTMENT OF APPLIED PHYSICS | - |
dc.identifier.pid | sonswoo | - |
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