6 SUSTAINABLE URBAN DEVELOPMENT

2021 ◽  
pp. 130-150
2020 ◽  
Vol 9 (1) ◽  
pp. 36-46
Author(s):  
Rebecca Oberreiter

Rapidly changing framework conditions for city development such as globalization, demographic trends, deindustrialization, technological developments or the increasing urbanization as well as the economic, social and political changes are profound and change our urban life. This leads, that the cities of tomorrow will differ essentially from today´s city principles. Therefore innovative, strategically wise and quick action becomes a criterion for success. Here, more than ever, local conditions and requirements must be taken into account as well as global framework conditions. The responsible parties have to set the course so that the “City” remains competitive and sustainable in the future. Therefore, innovation processes and sustainable strategies for dealing with the diverse and complex agendas of a city in dialogue with those who are responsible for it must be initiated and management systems established so that new things can develop continuously and systematically. This work illustrates how the boundaries created to manage and market future liveable and sustainable city destinations are the root of the practical and academic problems that trouble city management these days.  This paper aims to develop the new integrated Smart Urban Profiling and Management model, which presents a new integrated approach for city marketing as an instrument of sustainable urban development. In this way, comprehensive research was conducted to evaluate if the holistic city marketing concept that integrates elements of smart city strategies and adaptive management is a more suitable instrument and integrative process than conventional city marketing in order to improve the sustainable urban development. Therefore, in this work, the designed “Smart Urban Profiling and Management model” for city management introduces an alternative and holistic perspective that allows transcending past boundaries and thus getting closer to the real complexities of managing city development in dynamic systems. The results offer the opportunity to recognize the city and consequently allow to developing successful strategies and implementation measures. This study targets to contribute to this endeavor in order to produce new impulses and incitements in the city management field and shall provide a fresh impetus for a new understanding of city marketing as the initiator of development processes, mobilization and moderator in concerning communication and participation processes. This paper is written from a perspective addressing those responsible for the city- management, city- & urban marketing and development.


Author(s):  
Simona Popa-Albu ◽  
Mihaela Pisleaga ◽  
Adrian Tenchea

2021 ◽  
Vol 13 (4) ◽  
pp. 766
Author(s):  
Yuanmao Zheng ◽  
Qiang Zhou ◽  
Yuanrong He ◽  
Cuiping Wang ◽  
Xiaorong Wang ◽  
...  

Quantitative and accurate urban land information on regional and global scales is urgently required for studying socioeconomic and eco-environmental problems. The spatial distribution of urban land is a significant part of urban development planning, which is vital for optimizing land use patterns and promoting sustainable urban development. Composite nighttime light (NTL) data from the Defense Meteorological Program Operational Line-Scan System (DMSP-OLS) have been proven to be effective for extracting urban land. However, the saturation and blooming within the DMSP-OLS NTL hinder its capacity to provide accurate urban information. This paper proposes an optimized approach that combines NTL with multiple index data to overcome the limitations of extracting urban land based only on NTL data. We combined three sources of data, the DMSP-OLS, the normalized difference vegetation index (NDVI), and the normalized difference water index (NDWI), to establish a novel approach called the vegetation–water-adjusted NTL urban index (VWANUI), which is used to rapidly extract urban land areas on regional and global scales. The results show that the proposed approach reduces the saturation of DMSP-OLS and essentially eliminates blooming effects. Next, we developed regression models based on the normalized DMSP-OLS, the human settlement index (HSI), the vegetation-adjusted NTL urban index (VANUI), and the VWANUI to analyze and estimate urban land areas. The results show that the VWANUI regression model provides the highest performance of all the models tested. To summarize, the VWANUI reduces saturation and blooming, and improves the accuracy with which urban areas are extracted, thereby providing valuable support and decision-making references for designing sustainable urban development.


Author(s):  
María Teresa Gomez Villarino ◽  
Julia urquijo ◽  
Miguel Gómez Villarino ◽  
A. I. García

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