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

2016 ◽  
Vol III-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 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.

scholarly journals URBAN GROWTH SCENARIOS OF A FUTURE MEGA CITY: CASE STUDY AHMEDABAD

2016 ◽  
Vol III-2 ◽  
pp. 165-172 ◽  
Author(s):  
A. Lehner ◽  
V. Kraus ◽  
K. Steinnocher
Keyword(s):  
Remote Sensing ◽  
Urban Growth ◽  
Urban Areas ◽  
Large Scale ◽  
Smart Cities ◽  
Urban Migration ◽  
Indian Government ◽  
Urban Remote Sensing ◽  
Urban Growth Scenarios

The study of urban areas and their development focuses on cities, their physical and demographic expansion and the tensions and impacts that go along with urban growth. Especially in developing countries and emerging national economies like India, consistent and up to date information or other planning relevant data all too often is not available. With its Smart Cities Mission, the Indian government places great importance on the future developments of Indian urban areas and pays tribute to the large-scale rural to urban migration. The potentials of urban remote sensing and its contribution to urban planning are discussed and related to the Indian Smart Cities Mission. A case study is presented showing urban remote sensing based information products for the city of Ahmedabad. Resulting urban growth scenarios are presented, hotspots identified and future action alternatives proposed.

scholarly journals URBAN GROWTH SCENARIOS OF A FUTURE MEGA CITY: CASE STUDY AHMEDABAD

2016 ◽  
Vol III-2 ◽  
pp. 165-172
Author(s):  
A. Lehner ◽  
V. Kraus ◽  
K. Steinnocher
Keyword(s):  
Remote Sensing ◽  
Urban Growth ◽  
Urban Areas ◽  
Large Scale ◽  
Smart Cities ◽  
Urban Migration ◽  
Indian Government ◽  
Urban Remote Sensing ◽  
Urban Growth Scenarios

The study of urban areas and their development focuses on cities, their physical and demographic expansion and the tensions and impacts that go along with urban growth. Especially in developing countries and emerging national economies like India, consistent and up to date information or other planning relevant data all too often is not available. With its Smart Cities Mission, the Indian government places great importance on the future developments of Indian urban areas and pays tribute to the large-scale rural to urban migration. The potentials of urban remote sensing and its contribution to urban planning are discussed and related to the Indian Smart Cities Mission. A case study is presented showing urban remote sensing based information products for the city of Ahmedabad. Resulting urban growth scenarios are presented, hotspots identified and future action alternatives proposed.

scholarly journals Urban Growth and Decline: The Role of Population Density at the City Core

2011 ◽  
pp. 1-6
Author(s):  
Kyle Fee ◽  
Daniel A. Hartley
Keyword(s):  
Population Density ◽  
Urban Growth ◽  
Census Data ◽  
Economic Shocks ◽  
Urban Centers ◽  
The Core ◽  
City Core ◽  
Productivity Gains ◽  
The City

In recent decades, some cities have seen their urban centers lose population density, as residents spread farther out to suburbs and exurbs. Others have kept populous downtowns even as their environs have grown. Population density in general has economic advantages, so one might wonder whether a loss of density, which may be a symptom of negative economic shocks, could amplify those shocks. We look at four decades of census data and show that growing cities have maintained dense urban centers, while shrinking cities have not. There are reasons to think that loss of population density at the core of the city could be particularly damaging to productivity. If this is the case, there could be productivity gains from policies aimed at reversing that trend.

scholarly journals Urban Growth, Real Estate Development and Indigenous Property: Simulating the Expansion Process in the City of Temuco, Chile

2021 ◽  
Vol 10 (2) ◽  
pp. 101
Author(s):  
Francisco Maturana ◽  
Mauricio Morales ◽  
Fernando Peña-Cortés ◽  
Marco A. Peña ◽  
Carlos Vielma
Keyword(s):  
Real Estate ◽  
Urban Growth ◽  
Urban Expansion ◽  
Indigenous Communities ◽  
Objective Evaluation ◽  
Real Estate Development ◽  
Territorial Planning ◽  
The Future ◽  
Urban Scenario ◽  
The City

Urbanization is spreading across the world and beyond metropolitan areas. Medium-sized cities have also undergone processes of accelerated urban expansion, especially in Latin America, thanks to scant regulation or a complete lack thereof. Thus, understanding urban growth in the past and simulating it in the future has become a tool to raise its visibility and challenge territorial planners. In this work, we use Markov chains, cellular automata, multi-criteria multi-objective evaluation, and the determination of land use/land cover (LULC) to model the urban growth of the city of Temuco, Chile, a paradigmatic case because it has experienced powerful growth, where real estate development pressures coexist with a high natural value and the presence of indigenous communities. The urban scenario is determined for the years 2033 and 2049 based on the spatial patterns between 1985 and 2017, where the model shows the trend of expansion toward the northeast and significant development in the western sector of the city, making them two potential centers of expansion and conflict in the future given the heavy pressure on lands that are indigenous property and have a high natural value, aspects that need to be incorporated into future territorial planning instruments.

scholarly journals A New Integrated Approach for Municipal Landfill Siting Based on Urban Physical Growth Prediction: A Case Study Mashhad Metropolis in Iran

2021 ◽  
Vol 13 (5) ◽  
pp. 949
Author(s):  
Salman Qureshi ◽  
Saman Nadizadeh Shorabeh ◽  
Najmeh Neysani Samany ◽  
Foad Minaei ◽  
Mehdi Homaee ◽  
...  
Keyword(s):  
Urban Growth ◽  
Integrated Approach ◽  
Physical Growth ◽  
Support Vector ◽  
Markov Chain Method ◽  
Physical Expansion ◽  
Hierarchy Process ◽  
The City

Due to irregular and uncontrolled expansion of cities in developing countries, currently operational landfill sites cannot be used in the long-term, as people will be living in proximity to these sites and be exposed to unhygienic circumstances. Hence, this study aims at proposing an integrated approach for determining suitable locations for landfills while considering their physical expansion. The proposed approach utilizes the fuzzy analytical hierarchy process (FAHP) to weigh the sets of identified landfill location criteria. Furthermore, the weighted linear combination (WLC) approach was applied for the elicitation of the proper primary locations. Finally, the support vector machine (SVM) and cellular automation-based Markov chain method were used to predict urban growth. To demonstrate the applicability of the developed approach, it was applied to a case study, namely the city of Mashhad in Iran, where suitable sites for landfills were identified considering the urban growth in different geographical directions for this city by 2048. The proposed approach could be of use for policymakers, urban planners, and other decision-makers to minimize uncertainty arising from long-term resource allocation.

Using Land Cover, Population, and Night Light Data for Assessing Local Temperature Differences in Mainz, Germany

2015 ◽  
Vol 54 (3) ◽  
pp. 658-670 ◽  
Author(s):  
Jenny Lindén ◽  
Jan Esper ◽  
Björn Holmer
Keyword(s):  
Twentieth Century ◽  
Light Intensity ◽  
Central Europe ◽  
Urban Growth ◽  
Urban Areas ◽  
Surface Coverage ◽  
Daily Maximum ◽  
Source Areas ◽  
Maximum Temperatures ◽  
The City

AbstractUrban areas are believed to affect temperature readings, thereby biasing the estimation of twentieth-century warming at regional to global scales. The precise effect of changes in the surroundings of meteorological stations, particularly gradual changes due to urban growth, is difficult to determine. In this paper, data from 10 temperature stations within 15 km of the city of Mainz (Germany) over a period of 842 days are examined to assess the connection between temperature and the properties of the station surroundings, considering (i) built/paved area surface coverage, (ii) population, and (iii) night light intensity. These properties were examined in circles with increasing radii from the stations to identify the most influential source areas. Daily maximum temperatures Tmax, as well as daily average temperatures, are shown to be significantly influenced by elevation and were adjusted before the analysis of anthropogenic surroundings, whereas daily minimum temperatures Tmin were not. Significant correlations (p < 0.1) between temperature and all examined properties of station surroundings up to 1000 m are found, but the effects are diminished at larger distance. Other factors, such as slope and topographic position (e.g., hollows), were important, especially to Tmin. Therefore, properties of station surroundings up to 1000 m from the stations are most suitable for the assessment of potential urban influence on Tmax and Tmin in the temperate zone of central Europe.

Language and the geopolitics of (dis)location: A study of Zimbabwean Shona and Ndebele speakers in Johannesburg

2018 ◽  
Vol 47 (1) ◽  
pp. 115-139 ◽  
Author(s):  
Gugulethu Siziba ◽  
Lloyd Hill
Keyword(s):  
South Africa ◽  
South African ◽  
Census Data ◽  
Strong Association ◽  
Geographic Location ◽  
Migration Literature ◽  
African Migrants ◽  
Social Positioning ◽  
Language And Ethnicity ◽  
The City

AbstractThe Zimbabwean diaspora is a well-documented phenomenon. While much research has been done on Zimbabwean migration to South Africa, the role that language plays in this process has not been well researched. This article draws on South African census data and qualitative fieldwork data to explore the manner in which Zimbabwean migrants use languages to appropriate spaces for themselves in the City of Johannesburg. The census data shows that African migrants tend to concentrate in the Johannesburg CBD, and fieldwork in this area reveals that Zimbabwean migrants are particularly well established in two suburbs—Yeoville and Hillbrow. The article explores migrant language repertoires, which include English, Shona, Ndebele, and a variant of Zulu. While many contributions to the migration literature tend to assume a strong association between language and ethnicity, the article shows how this relationship is mediated by geographic location and social positioning within the city. (Language, migration, Johannesburg, South Africa, Zimbabwe)*

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