scholarly journals Modeling the effects of urban growth scenarios on water demand and runoff patterns in Dublin, Ireland

2013 ◽  
Keyword(s):  
Urban Growth ◽  
Water Demand ◽  
Urban Growth Scenarios

Long-term urban growth and water demand in Asia

2008 ◽  
pp. 483-489
Author(s):  
Shinji Kaneko ◽  
Karen Ann B. Jago-on
Keyword(s):  
Urban Growth ◽  
Water Demand

scholarly journals GROWTH SCENARIOS FOR THE CITY OF GUANGZHOU, CHINA: TRANSFERABILITY AND CONFIRMABILITY

2016 ◽  
Vol IV-4/W1 ◽  
pp. 61-66
Author(s):  
A. Lehner ◽  
V. Kraus ◽  
C. Wei ◽  
K. Steinnocher
Keyword(s):  
Urban Growth ◽  
Census Data ◽  
Smart Growth ◽  
Remotely Sensed Data ◽  
Promising Candidate ◽  
Urban Remote Sensing ◽  
Indian City ◽  
Urban Growth Scenarios ◽  
The Pearl River ◽  
The City

This work deals with the development of urban growth scenarios and the prevision of the spatial distribution of built-up area and population for the urban area of the city of Guangzhou in China. Using freely-available data, including remotely sensed data as well as census data from the ground, expenditure of time and costs shall remain low. Guangzhou, one of the biggest cities within the Pearl River Delta, has faced an enormous economic and urban growth during the last three decades. Due to its economical and spatial characteristics it is a promising candidate for urban growth scenarios. The monitoring and prediction of urban growth comprises data of population and give them a spatial representation. The model, originally applied for the Indian city Ahmedabad, is used for urban growth scenarios. Therefore, transferability and confirmability of the model are evaluated. Challenges that may occur by transferring a model for urban growth from one region to another are discussed. With proposing the use of urban remote sensing and freely available data, urban planners shall be fitted with a comprehensible and simple tool to be able to contribute to the future challenge <i>Smart Growth</i>.

scholarly journals Integrating Data-Driven and Participatory Modeling to Simulate Future Urban Growth Scenarios: Findings from Monastir, Tunisia

Urban Science ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. 10
Author(s):  
Mostapha Harb ◽  
Matthias Garschagen ◽  
Davide Cotti ◽  
Elke Krätzschmar ◽  
Hayet Baccouche ◽  
...  
Keyword(s):  
Urban Growth ◽  
Local Governments ◽  
Agricultural Land ◽  
Urban Expansion ◽  
Sustainable Urban Development ◽  
Rapid Urbanization ◽  
Participatory Modeling ◽  
Urban Growth Scenarios ◽  
Business As Usual ◽  
The City

Current rapid urbanization trends in developing countries present considerable challenges to local governments, potentially hindering efforts towards sustainable urban development. To effectively anticipate the challenges posed by urbanization, participatory modeling techniques can help to stimulate future-oriented decision-making by exploring alternative development scenarios. With the example of the coastal city of Monastir, we present the results of an integrated urban growth analysis that combines the SLEUTH (slope, land use, exclusion, urban extent, transportation, and hill shade) cellular automata model with qualitative inputs from relevant local stakeholders to simulate urban growth until 2030. While historical time-series of Landsat data fed a business-as-usual prediction, the quantification of narrative storylines derived from participatory scenario workshops enabled the creation of four additional urban growth scenarios. Results show that the growth of the city will occur at different rates under all scenarios. Both the “business-as-usual” (BaU) prediction and the four scenarios revealed that urban expansion is expected to further encroach on agricultural land by 2030. The various scenarios suggest that Monastir will expand between 127–149 hectares. The information provided here goes beyond simply projecting past trends, giving decision-makers the necessary support for both understanding possible future urban expansion pathways and proactively managing the future growth of the city.

Simulation and analysis of urban growth scenarios for the Greater Shanghai Area, China

2011 ◽  
Vol 35 (2) ◽  
pp. 126-139 ◽  
Author(s):  
Qian Zhang ◽  
Yifang Ban ◽  
Jiyuan Liu ◽  
Yunfeng Hu
Keyword(s):  
Urban Growth ◽  
Urban Growth Scenarios
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