The Experts below are selected from a list of 175017 Experts worldwide ranked by ideXlab platform

Jing Wei - One of the best experts on this subject based on the ideXlab platform.

  • The Impact of Population Migration on Urban Housing Prices: Evidence from China’s Major Cities
    Sustainability, 2018
    Co-Authors: Yingchao Lin, Ke Zhao, Jing Wei
    Abstract:

    With increasingly high housing prices, the urban housing problem has changed from an economic issue to a livelihood issue in China. Taking 32 major cities in China as an example, this paper employed data from 2007 to 2016 to build a panel data model to empirically study the impact of Population Migration on urban housing prices. From the two perspectives of the national level and regional level (eastern region, central region and western region), the results of this study showed that (1) on the national level, Population inflow had a significant positive correlation with urban housing prices, where a Population inflow rate increase of 1% increased urban housing prices by 0.31%; and (2) on the regional level, a Population inflow rate increase of 1% increased urban housing prices in the eastern region by 1.34%, but Population inflow had no obvious impact on the urban housing prices in the central and western regions. Based on the results, this study suggested addressing housing supply imbalances through housing product diversification and affordable housing system improvement, and addressing construction land supply imbalances by building a perfect system linking land-use planning to Population; at the same time, it also suggested building more nationally central cities following the urbanization trend, and taking this as the key to developing urban agglomerations, reasonably decentralizing the Population flow, promoting the healthy and stable development of the real-estate market and advancing sustainable urbanization. The above conclusions have practical significance for China and other developing countries to coordinate Population and urban development in the process of rapid urbanization.

Xuyong Li - One of the best experts on this subject based on the ideXlab platform.

  • Influence of rapid rural-urban Population Migration on riverine nitrogen pollution: perspective from ammonia-nitrogen
    Environmental Science and Pollution Research, 2017
    Co-Authors: Wangshou Zhang, Bongghi Hong, Dennis P. Swaney, Robert W Howarth, Xuyong Li
    Abstract:

    China is undergoing a rapid transition from a rural to an urban society. This societal change is a consequence of a national drive toward economic prosperity. However, accelerated urban development resulting from rapid Population Migration from rural to urban lands has led to high levels of untreated sewage entering aquatic ecosystems directly. Consequently, many of these regions have been identified as hot spots of riverine nitrogen (N) pollution because of the increasing level of urban point-source discharge. In order to address this concern, we assessed effects of urban development on ammonia-nitrogen (AN) loads using a panel data regression model. The model, expressed as an exponential function of anthropogenic N inputs multiplied by a power function of streamflow, was applied to 20 subwatersheds of the Huai River Basin for the years 2003–2010. The results indicated that this model can account for 81% of the variation in annual AN fluxes over space and time. Application of this model to three scenarios of urban development and sewage treatment (termed urbanization priority, sustainable development, and environmental priority) suggests that future N pollution will inevitably deteriorate if current urban environmental management and investment are not significantly improved. Stronger support for environmental management is very critical to alleviate N pollution and improve water quality. More effort should focus on improving sewage treatment and the N removal rate of the current sewage system in light of the increasing degree of urbanization.

Renyu Zhao - One of the best experts on this subject based on the ideXlab platform.

  • Monitoring Chinese Population Migration in Consecutive Weekly Basis from Intra-city scale to Inter-province scale by Didi's Bigdata
    arXiv: Machine Learning, 2016
    Co-Authors: Renyu Zhao
    Abstract:

    Population Migration is valuable information which leads to proper decision in urban-planning strategy, massive investment, and many other fields. For instance, inter-city Migration is a posterior evidence to see if the government's constrain of Population works, and inter-community imMigration might be a prior evidence of real estate price hike. With timely data, it is also impossible to compare which city is more favorable for the people, suppose the cities release different new regulations, we could also compare the customers of different real estate development groups, where they come from, where they probably will go. Unfortunately these data was not available. In this paper, leveraging the data generated by positioning team in Didi, we propose a novel approach that timely monitoring Population Migration from community scale to provincial scale. Migration can be detected as soon as in a week. It could be faster, the setting of a week is for statistical purpose. A monitoring system is developed, then applied nation wide in China, some observations derived from the system will be presented in this paper. This new method of Migration perception is origin from the insight that nowadays people mostly moving with their personal Access Point (AP), also known as WiFi hotspot. Assume that the ratio of AP moving to the Migration of Population is constant, analysis of comparative Population Migration would be feasible. More exact quantitative research would also be done with few sample research and model regression. The procedures of processing data includes many steps: eliminating the impact of pseudo-Migration AP, for instance pocket WiFi, and second-hand traded router; distinguishing moving of Population with moving of companies; identifying shifting of AP by the finger print clusters, etc..

Yafeng Nie - One of the best experts on this subject based on the ideXlab platform.

  • Population Migration, spread of COVID-19, and epidemic prevention and control: empirical evidence from China.
    BMC public health, 2021
    Co-Authors: Lin Xie, Anqi Zhang, Xueyu Lin, Yafeng Nie
    Abstract:

    Background This study applied the susceptible-exposed-infectious-removed (SEIR) model to analyze and simulate the transmission mechanisms of the coronavirus disease 2019 (COVID-19) in China. Methods The Population Migration was embedded in the SEIR model to simulate and analyze the effects of the amount of Population inflow on the number of confirmed cases. Based on numerical simulations, this study used statistical data for the empirical validation of its theoretical deductions and discussed how to improve the effectiveness of epidemic prevention and control considering Population Migration variables. Statistics regarding the numbers of infected people in various provinces were obtained from the epidemic-related data reported by China's National Health Commission. Results This study explored how the epidemic should be prevented and controlled from the perspective of Population Migration variables. It found that the combination of a susceptible Population, an infected Population, and transmission media were important routes affecting the number of infections and that the Migration of a Hubei-related infected Population played a key role in promoting epidemic spread. Epidemic prevention and control should focus on regions with better economic conditions than the epidemic region. Prevention and control efforts should focus on the more populated neighboring provinces having convenient transportation links with the epidemic region. To prevent and control epidemic spread, priority should be given to elucidating the destinations and directions of Population Migration from the domestic origin of infections, and then controlling Population Migration or human-to-human contact after such Migration. Conclusions This study enriched and expanded on simulations of the effects of Population Migration on the COVID-19 epidemic and China-based empirical studies while offering an epidemic evaluation and warning mechanism to prevent and control similar public health emergencies in the future.

  • Population Migration, spread of COVID-19, and epidemic prevention and control: empirical evidence from China
    2020
    Co-Authors: Hualei Yang, Xie Lin, Anqi Zhang, Xueyu Lin, Yafeng Nie
    Abstract:

    Abstract Background: This study applied the SEIR model to analyze and simulate the transmission mechanisms of the coronavirus disease 2019 (COVID-19) in China. Methods: The Population Migration was embedded in the SEIR model to simulate and analyze the effects of the amount of Population inflow on the number of confirmed cases. Based on numerical simulations, this study used statistical data for the empirical validation of its theoretical deductions and discussed how to improve the effectiveness of epidemic prevention and control considering Population Migration variables. Statistics regarding the numbers of infected people in various provinces were obtained from the epidemic-related data reported by China’s National Health Commission.Results: This study explored how the epidemic should be prevented and controlled from the perspective of Population Migration variables. It found that a combination of a susceptible Population, an infected Population, and transmission media was an important route affecting the number of infections and that the Migration of a Hubei-related infected Population played a key role in promoting epidemic spread. Epidemic prevention and control should focus on regions with better economic conditions than the epidemic region. Prevention and control efforts should focus on the more populated neighboring provinces having convenient transportation links with the epidemic region. To prevent and control epidemic spread, priority should be given to elucidating the destinations and directions of Population Migration from the domestic origin of infections, and then stemming Population Migration or human-to-human contact after such Migration. Conclusions: This study enriched and expanded on simulations of the effects of Population Migration on the COVID-19 epidemic and China-based empirical studies while offering an epidemic evaluation and warning mechanism to prevent and control similar public health emergencies in the future.

Wang Kai-k - One of the best experts on this subject based on the ideXlab platform.

  • Rural-Urban Net Population Migration Rate of China Based on the Modified Keyfitz Urbanization Model
    Economic Geography, 2014
    Co-Authors: Wang Kai-k
    Abstract:

    The data of the rural-urban Population Migration is an important basic data to study the policy of Population Migration, the development of urbanization, the reform of social security system and other issues.In China, because of the the survey methodology and the statistical range adjustment, the maasures of the urban areas and the urban Population and other indicators lack the necessary convergence, so that it is very difficult to obtain the comparable rural- urban Population Migration ratio data which acrossing a long period of time just rely on official statistics alone. This paper uses the Keyfitz model and its extended foum as the study point, and then calculates the rural-urban net Population Migration rates since China's reform and openning up through estimating the urbanization rate and the rural Population natural growth rate. The results show that there was a net increase of Population from rural to urban areas for most of the years between 1978-2011, the rural-urban net Population Migration rate showed significant fluctuation, which the economic and the system reform had a more significant impact on the cyclical fluctuation. From the overall evolution trend, the fluctuations of the rural- urban Population net Migration rate had a more significant smoothing trend which may be derived from the impact of the residence and cocial security system deepening reform in recent years.