City Size and Permanent Settlement Intention: Evidence from Rural-Urban Migrants in China

The location choice and livelihoods of rural-urban migrants are critical to the sustainable development of cities. By using data from the China Migrants Dynamic Survey (CMDS) in 2017, this paper extant the Rosen–Roback’s model by adding factors of urban social network and air pollution to the function of the individual utility of migrants. Both the Probit Model and IV estimates imply evidence of an inverse U-shaped pattern of city size and migrants’ permanent settlement in urban China. This view proves that Chinese migrants like to settle permanently in large cities, but not mega-cities, such as Beijing and Shanghai. The internal mechanism is explained by the agglomeration economies and the crowing effect brought by city size. In mega-cities, the attractiveness of the city caused by wage premium cannot offset the combined repulsive force caused by the high housing price, bad urban social network, air pollution, and health deterioration. It is worth noting that air pollution has a significant negative impact on the settlement intention of migrants, such as health conditions and precipitation. Besides, there is heterogeneity among high-skilled migrants and low-skilled migrants in different city sizes. Our findings enhance the understanding of “Escape from megacities” in China and have implications for the reform of the housing security system and the exploration of the urbanization path.

Smart Technologies and the Case of People with Disabilities: A Preliminary Overview

Recently, smart technologies as well as the digitization has entered dynamically into our lives. Cities become mega-cities because of the over population, human health conditions are gradually degraded. The existence of disabled people and the lack of their socialization the diversity of stakeholders as human beings and the difficulty of integrating them into society are few of some problems that Smart City and Smart Technology come to give manageable solutions. Solutions that could find into suggesting researches and intelligence analytics. It is important to refer to this relationship of intelligent capabilities and human resources. This study presents an overview of digital technology especially for people with disabilities. It highlights the contribution of technology to simple everyday habits of disabled and the ability to access the immediate environment. In conclusion, this article is based on the individual requirements, human rights, and preferences of people with disabilities and gives an intriguing perspective to a subject that will be in the limelight and provide effective solutions in the next years driven by technological developments.

High rises and earth subsidence

Skyscrapers are synonymous with mega cities throughout the world, accompanied with which is earth subsidence. High rises are larger in inertia, and decelerate and accelerate at slower speeds than smaller buildings. The slower deceleration can lead to drift along the direction of Earth’s self-rotation and revolution, resulting in the appearance of minute cracks to the west of the skyscrapers and thus earth subsidence.

Anaylsis of rainfall relationships in East Asia using a complex network

Concurrent floods in multiple locations pose systemic risks to the interconnected economy in East Asia through supply chains. Despite the significant economic impacts, however, the understanding of the interconnection between rainfall patterns in the region is yet limited. Here, we analyzed spatial dependence in rainfall patterns of the 24 mega-cities in the region by means of complex analysis theory and discussed the technique’s its applicability. Each city and correlation coefficient was represented by a node and a link, respectively. Vital node identification and clustering analysis were conducted using adjacency information entropy and multi-community detection. The groups were clustered to reflect the spatial characteristics of climate. In addition, the climate links between each group were identified through the cross-mutual information considering the delay time for each group. It was concluded that the complex network analysis can be a useful method for analyzing spatial relationship between climate factors.