scholarly journals A STUDY ON THE CONVERSION OF THE INDUSTRIAL EMPLOYMENT STRUCTURE IN THE URBAN REGIONS BY VARIOUS POPULATION SIZE(Urban Planning)

2003 ◽  
Vol 9 (17) ◽  
pp. 391-396
Author(s):  
Zhuankun RAO ◽  
Yasuhiro SAKURAI ◽  
Yoshinobu KIKUCHI
2021 ◽  
Vol 13 (6) ◽  
pp. 3319
Author(s):  
Chulin Pan ◽  
Huayi Wang ◽  
Hongpeng Guo ◽  
Hong Pan

This study focuses on the impact of population structure changes on carbon emissions in China from 1995 to 2018. This paper constructs the multiple regression model and uses the ridge regression to analyze the relationship between population structure changes and carbon emissions from four aspects: population size, population age structure, population consumption structure, and population employment structure. The results showed that these four variables all had a significant impact on carbon emissions in China. The ridge regression analysis confirmed that the population size, population age structure, and population employment structure promoted the increase in carbon emissions, and their contribution ratios were 3.316%, 2.468%, 1.280%, respectively. However, the influence of population consumption structure (−0.667%) on carbon emissions was negative. The results showed that the population size had the greatest impact on carbon emissions, which was the main driving factor of carbon emissions in China. Chinese population will bring huge pressure on the environment and resources in the future. Therefore, based on the comprehensive analysis, implementing the one-child policy will help slow down China’s population growth, control the number of populations, optimize the population structure, so as to reduce carbon emissions. In terms of employment structure and consumption structure, we should strengthen policy guidance and market incentives, raising people’s low-carbon awareness, optimizing energy-consumption structure, improving energy efficiency, so as to effectively control China’s carbon emissions.


Author(s):  
Jennifer Buyck ◽  
Aurore Meyfroidt ◽  
Caroline Brand ◽  
Gabriel Jourdan

AbstractOur contribution aims at pointing out how the food issue challenges metropolitan areas while at the same time identifying potential for sustainable urban planning. To that end, we investigate to what extent taking into account agricultural and food-related issues enables to rethink urban planning which is usually qualified as sustainable. Our analysis will be based upon the two French urban regions of Grenoble and Caen where participatory research was conducted through collective and prospective walks. These urban explorations, which provide insights on metropolitan spaces and the interrelations that underlie them, underly the disconnections of contemporary urban planning with the inhabitants, their vital needs and, more generally, the soil, while highlight working paths for a more nourishing, meaningful and rooted urban planning. By considering urban planning through the scope of agri-food stakes, we contribute then to the renewal of urban concepts and thus highlight three workshops aiming at further developing sustainable urban planning issues and tools.


2016 ◽  
Vol 25 (4) ◽  
pp. 653-671 ◽  
Author(s):  
Sara A. Gagné ◽  
Peter J. Sherman ◽  
Kunwar K. Singh ◽  
Ross K. Meentemeyer

2002 ◽  
Vol 8 (15) ◽  
pp. 241-246 ◽  
Author(s):  
RAO Zhuankun ◽  
Shingo TAMAKI ◽  
Yoshinobu KIKUCHI

Author(s):  
Yanjie Fu ◽  
Pengyang Wang ◽  
Jiadi Du ◽  
Le Wu ◽  
Xiaolin Li

Urban regions are places where people live, work, consume, and entertain. In this study, we investigate the problem of learning an embedding space for regions. Studying the representations of regions can help us to better understand the patterns, structures, and dynamics of cities, support urban planning, and, ultimately, to make our cities more livable and sustainable. While some efforts have been made for learning the embeddings of regions, existing methods can be improved by incorporating locality-constrained spatial autocorrelations into an encode-decode framework. Such embedding strategy is capable of taking into account both intra-region structural information and inter-region spatial autocorrelations. To this end, we propose to learn the representations of regions via a new embedding strategy with awareness of locality-constrained spatial autocorrelations. Specifically, we first construct multi-view (i.e., distance and mobility connectivity) POI-POI networks to represent regions. In addition, we introduce two properties into region embedding: (i) spatial autocorrelations: a global similarity between regions; (ii) top-k locality: spatial autocorrelations locally and approximately reside on top k most autocorrelated regions. We propose a new encoder-decoder based formulation that preserves the two properties while remaining efficient. As an application, we exploit the learned embeddings to predict the mobile checkin popularity of regions. Finally, extensive experiments with real-world urban region data demonstrate the effectiveness and efficiency of our method.


Author(s):  
Delbert E. Philpott ◽  
W. Sapp ◽  
C. Williams ◽  
T. Fast ◽  
J. Stevenson ◽  
...  

Space Lab 3 (SL-3) was flown on Shuttle Challenger providing an opportunity to measure the effect of spaceflight on rat testes. Cannon developed the idea that organisms react to unfavorable conditions with highly integrated metabolic activities. Selye summarized the manifestations of physiological response to nonspecific stress and he pointed out that atrophy of the gonads always occurred. Many papers have been published showing the effects of social interaction, crowding, peck order and confinement. Flickinger showed delayed testicular development in subordinate roosters influenced by group numbers, social rank and social status. Christian reported increasing population size in mice resulted in adrenal hypertrophy, inhibition of reproductive maturation and loss of reproductive function in adults. Sex organ weights also declined. Two male dogs were flown on Cosmos 110 for 22 days. Fedorova reported an increase of 30 to 70% atypical spermatozoa consisting of tail curling and/or the absence of a tail.


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