Sentence examples for population agglomeration from inspiring English sources
The attractive factors for population agglomeration in urban areas are analyzed using a new perspective of the complex ecological niche (CEN).
Population agglomeration of a particular city provides evidence of its urbanization quality, as well as its appeal for immigration from rural areas to developed areas.
Finally, analysis of the relationship between urban population agglomeration and the environmental ecological niche revealed by partial correlation analysis and regression analysis implied that there is a threshold in the development process of the environmental ecological niche.
The findings show that the TOD investment can cause population agglomeration at the TOD zones and a compact city; households and the society can benefit from the TOD investment; and the private TOD investment regime outperforms the public regime in terms of total social welfare of urban system.
Otsuka [2] analyses the efficiency of residential energy demand in Japan, focusing on population agglomeration and electrification rates as determinants of residential energy efficiency, and shows that residential energy efficiency is high in population agglomeration areas.
This paper introduces the population concentration index to measure the tendency of minority population agglomeration or distribution at the level of districts and counties in the whole country.
Covering a large area and population, urban agglomeration (UA) is an advanced and competitive form of urbanization but brings serious unbalanced economic growth and uncoordinated sustainability.
Overall, metropolitan markets with diverse and efficient ground support systems, freight forwarders and other transportation services, a more affluent population, an intense agglomeration of medical laboratories and related suppliers, and a well paid skilled workforce engaged in computer systems design and electronic product manufacturing are more likely to ship freight by air.
The total Population of Urban Agglomeration(U/A) is 9,20,550.
We weighted the semivariogram parameter estimation by agglomeration population size to minimise this bias.
As discussed by Cressie [ 17], semivariogram estimators based on the residuals are biased and in this case the covariance of the error could depend on the agglomerations' population sizes.
