scholarly journals Internal Differentiation within the Rural Migrant Population from the Sustainable Urban Development Perspective: Evidence from China

2018 ◽  
Vol 10 (12) ◽  
pp. 4839 ◽  
Author(s):  
Xiaohong Deng ◽  
Lei Gong ◽  
Yanfang Gao ◽  
Xiaoqing Cui ◽  
Ke Xu
Keyword(s):  
Urban Development ◽  
Eastern China ◽  
Housing Demand ◽  
Security Policies ◽  
Sustainable Urban Development ◽  
Migrant Population ◽  
Housing Security ◽  
Clustering Model ◽  
Rural Migrant ◽  
Starting Point

Population mobility and attendant issues, especially housing issues, have a major impact on sustainable urban development. In the urbanization process, a number of micro-communities with various social characteristics have come to compose the rural migrant population (RMP), resulting in internal differentiation. This study aims to reveal the demographic structure of this specific group, and to analyze the effects of the mechanism between population flow trends and sustainable urban development, taking housing demand as a starting point. To this end, a clustering model for mixed-type data based on partitioning around the medoid is proposed, and the linked characteristics and potential laws of the RMP are analyzed, based on the dynamic data of the migrant population in eastern China. To achieve sustainable urban development, the locational preferences and coping strategies of inflowing micro-communities based on city types are demonstrated. The results show that the RMP can be divided into four groups that have strong representativeness and that show significant differences in population structure and housing demand. Super-large and medium-sized cities are the main migration destinations. Several suggestions are proposed, based on these results. Housing security policies should be designed according to the housing demand characteristics and the spatial distribution of different groups. Housing security policies should play a full and positive role in reasonably guiding RMP movement.

scholarly journals Rethinking the Utility of Public Bicycles: The Development and Challenges of Station-Less Bike Sharing in China

2019 ◽  
Vol 11 (6) ◽  
pp. 1539 ◽  
Author(s):  
Jiaoe Wang ◽  
Jie Huang ◽  
Michael Dunford
Keyword(s):  
Public Health ◽  
Spatial Distribution ◽  
Urban Development ◽  
Rapid Growth ◽  
Eastern China ◽  
Sustainable Urban Development ◽  
Large Cities ◽  
Bike Sharing ◽  
The Relationship

Cycling is known to be environmentally friendly and beneficial to public health and sustainable urban development. Cycling has recently increased in Chinese cities as a result of the emergence of station-less bike-sharing systems. This study examines the emergence, rapid growth and consolidation of station-less bike-sharing systems and the role of suppliers, users and government regulators. It shows that these systems developed unevenly, growing most in large cities in eastern and south-eastern China, and explores the relationship between this spatial distribution and the nature of the service and the socio-economic characteristics of cities. To investigate patterns of, and reasons for, the use of these systems, this research also reports the results of a survey of users and non-users, identifying their gender, age, income characteristics and attitudes to station-less systems.

scholarly journals An Introduction to Neighborhood Sustainability Assessment Tool (NSAT) Study for China from Comprehensive Analysis of Eight Asian Tools

2020 ◽  
Vol 12 (6) ◽  
pp. 2462
Author(s):  
Ali Cheshmehzangi ◽  
Ayotunde Dawodu ◽  
Wangyang Song ◽  
Yuzhu Shi ◽  
Yuwei Wang
Keyword(s):  
Urban Development ◽  
Analytical Study ◽  
Assessment Tool ◽  
Sustainability Assessment ◽  
Sustainable Urban Development ◽  
Future Research ◽  
Sustainability Research ◽  
Starting Point ◽  
Building Level ◽  
Neighborhood Level

In comparison to city-level and building-level sustainability research, neighborhood-level sustainable urban development is less studied. One of the ways of achieving sustainability at this level is the use of the Neighborhood Sustainability Assessment Tool (NSAT), which focuses on the sustainable urban development of districts, communities, and neighborhoods. NSAT is comprised of urban sustainable indicators and associated points ascribed towards achieving specific urban agendas, called headline sustainability indicators (HSIs) and themes. In China, neighborhood-level sustainability agenda has just been recently established in 2017. Hence, there is an immediate need for NSAT development of multiple cities responding to specific regions of different climate zones in China. As an example, this study utilizes the case of Ningbo City, located in east China, for such NSAT development. This paper provides a comprehensive analytical and comparison study of eight Asian NSATs to highlight compatibilities and extract specific indicators for a new NSAT development for China. The results from this comparative and analytical study, developed through a multidimensional approach of sustainable pathway model (SPM) inform a new NSAT development in a new context. This novel contribution is significant in a context where neighborhood sustainability measures are recently developed. This study serves as the starting point for future research of NSATs in China and other countries.

Smart Urban Profiling And Management – New Insights For Enhancing Innovative And Sustainable City Development

2020 ◽  
Vol 9 (1) ◽  
pp. 36-46
Author(s):  
Rebecca Oberreiter
Keyword(s):  
Urban Development ◽  
Sustainable Urban Development ◽  
Management Model ◽  
City Management ◽  
City Marketing ◽  
City Development ◽  
Sustainable City ◽  
Framework Conditions ◽  
Fresh Impetus ◽  
The City

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.

scholarly journals Reducing Water Losses for Sustainable Urban Development

2019 ◽  
Vol 603 ◽  
pp. 042021
Author(s):  
Simona Popa-Albu ◽  
Mihaela Pisleaga ◽  
Adrian Tenchea
Keyword(s):  
Urban Development ◽  
Sustainable Urban Development ◽  
Water Losses

scholarly journals An Optimized Approach for Extracting Urban Land Based on Log-Transformed DMSP-OLS Nighttime Light, NDVI, and NDWI

2021 ◽  
Vol 13 (4) ◽  
pp. 766
Author(s):  
Yuanmao Zheng ◽  
Qiang Zhou ◽  
Yuanrong He ◽  
Cuiping Wang ◽  
Xiaorong Wang ◽  
...  
Keyword(s):  
Urban Development ◽  
Urban Areas ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Development Planning ◽  
Urban Land ◽  
Sustainable Urban Development ◽  
Land Use Patterns ◽  
Water Index ◽  
Nighttime Light

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.

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