東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"City planning- Mathematical models." ]

切換: 標籤 | MARC模式 | ISBD

Urban dynamics and simulation models

Pumain, Denise.

FindBook

Google Book

Amazon

博客來

Urban dynamics and simulation models

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Urban dynamics and simulation models/ by Denise Pumain, Romain Reuillon.
作者:	Pumain, Denise.
其他作者:	Reuillon, Romain.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xvii, 123 p. :ill., digital ;24 cm.
內容註:	Is urban future predictable?- The SimpopLocal Model -- Evaluation of the SimpopLocal Model (or: A new reproducible methodology for validating simulation models) -- An incremental multi-modeling method to simulate systems of cities' evolution -- Using models to explore possible futures (contingency and complexity) -- An open innovative and open toolbox.
Contained By:	Springer eBooks
標題:	Urbanization - Mathematical models. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-46497-8
ISBN:	9783319464978

Urban dynamics and simulation models
Pumain, Denise.

Urban dynamics and simulation models[electronic resource] /by Denise Pumain, Romain Reuillon. - Cham :Springer International Publishing :2017. - xvii, 123 p. :ill., digital ;24 cm. - Lecture notes in morphogenesis,2195-1934. - Lecture notes in morphogenesis..

Is urban future predictable?- The SimpopLocal Model -- Evaluation of the SimpopLocal Model (or: A new reproducible methodology for validating simulation models) -- An incremental multi-modeling method to simulate systems of cities' evolution -- Using models to explore possible futures (contingency and complexity) -- An open innovative and open toolbox.

This monograph presents urban simulation methods that help in better understanding urban dynamics. Over historical times, cities have progressively absorbed a larger part of human population and will concentrate three quarters of humankind before the end of the century. This "urban transition" that has totally transformed the way we inhabit the planet is globally understood in its socio-economic rationales but is less frequently questioned as a spatio-temporal process. However, the cities, because they are intrinsically linked in a game of competition for resources and development, self organize in "systems of cities" where their future becomes more and more interdependent. The high frequency and intensity of interactions between cities explain that urban systems all over the world exhibit large similarities in their hierarchical and functional structure and rather regular dynamics. They are complex systems whose emergence, structure and further evolution are widely governed by the multiple kinds of interaction that link the various actors and institutions investing in cities their efforts, capital, knowledge and intelligence. Simulation models that reconstruct this dynamics may help in better understanding it and exploring future plausible evolutions of urban systems. This would provide better insight about how societies can manage the ecological transition at local, regional and global scales. The author has developed a series of instruments that greatly improve the techniques of validation for such models of social sciences that can be submitted to many applications in a variety of geographical situations. Examples are given for several BRICS countries, Europe and United States. The target audience primarily comprises research experts in the field of urban dynamics, but the book may also be beneficial for graduate students.

ISBN: 9783319464978

Standard No.: 10.1007/978-3-319-46497-8doiSubjects--Topical Terms:

1053319
Urbanization
--Mathematical models.

LC Class. No.: HT361

Dewey Class. No.: 307.76

Urban dynamics and simulation models
LDR:03243nmm a2200337 a 4500 001 2089597
003 DE-He213
005 20170804155235.0
006 m d
007 cr nn 008maaau
008 171013s2017 gw s 0 eng d
020 $a 9783319464978 $q (electronic bk.)
020 $a 9783319464954 $q (paper)
024 7 $a 10.1007/978-3-319-46497-8 $2 doi
035 $a 978-3-319-46497-8
040 $a GP $c GP
041 0 $a eng
050 4 $a HT361
072 7 $a RP $2 bicssc
072 7 $a POL002000 $2 bisacsh
072 7 $a POL026000 $2 bisacsh
082 0 4 $a 307.76 $2 23
090 $a HT361 $b .P983 2017
100 1 $a Pumain, Denise. $3 3220374
245 1 0 $a Urban dynamics and simulation models $h [electronic resource] / $c by Denise Pumain, Romain Reuillon.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xvii, 123 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in morphogenesis, $x 2195-1934
505 0 $a Is urban future predictable?- The SimpopLocal Model -- Evaluation of the SimpopLocal Model (or: A new reproducible methodology for validating simulation models) -- An incremental multi-modeling method to simulate systems of cities' evolution -- Using models to explore possible futures (contingency and complexity) -- An open innovative and open toolbox.
520 $a This monograph presents urban simulation methods that help in better understanding urban dynamics. Over historical times, cities have progressively absorbed a larger part of human population and will concentrate three quarters of humankind before the end of the century. This "urban transition" that has totally transformed the way we inhabit the planet is globally understood in its socio-economic rationales but is less frequently questioned as a spatio-temporal process. However, the cities, because they are intrinsically linked in a game of competition for resources and development, self organize in "systems of cities" where their future becomes more and more interdependent. The high frequency and intensity of interactions between cities explain that urban systems all over the world exhibit large similarities in their hierarchical and functional structure and rather regular dynamics. They are complex systems whose emergence, structure and further evolution are widely governed by the multiple kinds of interaction that link the various actors and institutions investing in cities their efforts, capital, knowledge and intelligence. Simulation models that reconstruct this dynamics may help in better understanding it and exploring future plausible evolutions of urban systems. This would provide better insight about how societies can manage the ecological transition at local, regional and global scales. The author has developed a series of instruments that greatly improve the techniques of validation for such models of social sciences that can be submitted to many applications in a variety of geographical situations. Examples are given for several BRICS countries, Europe and United States. The target audience primarily comprises research experts in the field of urban dynamics, but the book may also be beneficial for graduate students.
650 0 $a Urbanization $x Mathematical models. $3 1053319
650 0 $a City planning $x Mathematical models. $3 675258
650 1 4 $a Geography. $3 524010
650 2 4 $a Landscape/Regional and Urban Planning. $3 895103
650 2 4 $a Data-driven Science, Modeling and Theory Building. $3 2210495
650 2 4 $a Simulation and Modeling. $3 890873
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 891089
650 2 4 $a Transportation. $3 555912
700 1 $a Reuillon, Romain. $3 3220375
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Lecture notes in morphogenesis. $3 2057472
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-46497-8
950 $a Earth and Environmental Science (Springer-11646)