scholarly journals Evaluation of Coupling Coordination among the Urban Physical Environment, Economy, and Population: A Case Study of 36 Main Cities in China

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Min Chen ◽  
Zhihao Sun ◽  
Yuanjie Wang ◽  
Shuaifeng Guo
Keyword(s):  
Economic Development ◽  
Population Growth ◽  
Rural Areas ◽  
Physical Environment ◽  
Evaluation System ◽  
Noise Pollution ◽  
Ambient Air ◽  
Sustainable Urban Development ◽  
Entropy Weight ◽  
Northern Cities

In the past three decades, about 0.93% of people moved from rural areas to cities per year in China. Therefore, understanding of the relationships among urban physical environment (UPE), economic development, and population growth are significant for China to realize sustainable urban development. Based on the concept and connotation of UPE and ecocity, the UPE evaluation system was constructed containing 6 first-level of indicators (i.e., climate, quality of ambient air and atmosphere, freshwater, wastewater, built environment, and noise pollution) and 13 second-level indicators. An entropy weight-TOPSIS model was developed in order to evaluate the UPE system, using the data of China’s 36 main cities from 2003 to 2016. The coupling coordination degree (CCD) among the UPE, economy, and population was measured by a ternary CCD model. The results showed that (1) the UPE of 36 main cities showed periodic fluctuations throughout the 14 years, and the coastal cities and southern cities had superior UPE than the inland cities and northern cities, respectively; (2) the vast majority of cities’ CCD had experienced steady upward trends. UPE, economy, and population promoted mutually in most of the cities, but in a few super cities, the economic development and population growth exceeded the capacity of UPE. Meanwhile, the CCD gaps between the northern and southern cities were significantly widened.

scholarly journals REAL-TIME NAVIGATION SYSTEM IMPLEMENTATION WITHIN THE SCOPE OF 3D GEOGRAPHIC INFORMATION SYSTEMS FOR MULTI STOREY CAR PARK

2016 ◽  
Vol XLII-2/W1 ◽  
pp. 115-120 ◽  
Author(s):  
B. Yenigun ◽  
I. R. Karas ◽  
E. Demiral
Keyword(s):  
Economic Development ◽  
Geographic Information Systems ◽  
Population Growth ◽  
Navigation System ◽  
Negative Impact ◽  
Noise Pollution ◽  
Parking Lot ◽  
Car Park ◽  
Lost Time ◽  
To Come

Today, a large increase in the number of vehicles in traffic with population growth and economic development are observed. This increase brings with it many problems. One of these problems is the parking problem as a result of the need to park the vehicle. Impractical and inadequate parking areas have a negative impact on drivers. To minimize these drawbacks, car parking is intended to develop a system to come to the aid of users. This system is planned to be developed which can be applied to indoor and multi-storey parking structure. Considered in this study, in the garage, drivers are intended to be directed as soon as possible in place of the convenient parking. However, the amount of fuel spent looking for parking tool that are caused by air and noise pollution, and to search for a parking lot when looking for a place to park the lost time, the resulting stress is minimized, it is expected that.

scholarly journals Spatial heterogeneity in and distributional characteristics of rural ecological livability in China——The case of Fujian Province

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0244238
Author(s):  
Xiaoli Jiang ◽  
Lingyu Wang ◽  
Xiaofeng Su ◽  
Weipeng Zeng ◽  
Anxin Xu ◽  
...  
Keyword(s):  
Rural Areas ◽  
Evaluation System ◽  
Entropy Weight ◽  
Fujian Province ◽  
Spatially Correlated ◽  
Average Value ◽  
The Status ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Slight Downward Trend

With the outbreak of COVID-19, the importance of rural areas has been gradually highlighted, and the importance of rural ecological livability has been gradually recognized. A growing body of literature recognizes the importance of building a rural ecological livability (REL) system. It is urgent that we clarify the status quo and spatial-temporal differences in and distributional characteristics of rural ecological livability and that we carry out targeted and differentiated construction to promote rural ecological livability in post-epidemic China. This study proposes a conceptual model that incorporates various economic, social and environmental factors and develops a comprehensive multifactor (production-living-ecology) evaluation system. Using Fujian Province as an example, the entropy weight method is used to measure the REL level of 55 counties and cities, which are comprehensively evaluated from 2015 to 2019. Moran's I and Getis-Ord Gi* are used to analyze the spatial and distributional characteristics of the REL level in Fujian. The results show that the level of REL in Fujian Province has been relatively flat over the past five years, with a slight downward trend. The overall value of the rural ecological livability index in 2015 was 0.345, and its overall value in 2019 was 0.334, with an average value of 0.343. The REL of Fujian Province is spatially correlated, with high levels of livability in the southeast and low levels in the northeast. The autocorrelation in the level of ecological livability in Fujian's counties and cities continues to increase.

scholarly journals Intelligent Rural Tourism Environmental Suitability Evaluation System Based on a Wireless Sensor Network

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Feng Ying
Keyword(s):  
Economic Development ◽  
Rural Areas ◽  
Evaluation System ◽  
Smart Cities ◽  
Spatial Differentiation ◽  
Tourism Industry ◽  
Rural Tourism ◽  
Suitability Evaluation ◽  
Environmental Suitability ◽  
Rural Economic Development

After years of vigorous development, the scale of rural tourism industry has gradually expanded throughout the country, and it has become an important means of coordinating urban and rural areas to drive farmers’ incomes and get rich. Nowadays, the level of informatization is constantly improving, the construction of smart cities is constantly advancing, the personalized demand of tourists is increasingly strong, especially the rural tourist spots scattered in the vast countryside which have a great spatial breadth, and the traditional management method can no longer meet the needs of the source objects whose main travel mode is self-driving. Therefore, only when rural tourism develops in the direction of intelligence can it successfully realize the transformation and upgrading of rural tourism industry. This paper takes a rural tourism resort in a certain area as the research object and builds an intelligent rural tourism environmental suitability evaluation system with three criterion levels: natural geographic conditions, traffic environmental conditions, and tourism spatial conditions. The weight of each indicator layer is obtained through the analytic hierarchy process, and the reclassified raster data of indicators is weighted and superimposed on the ArcGIS operating platform to obtain the evaluation result of the environmental suitability of smart rural tourism. According to the results of suitability evaluation, the most suitable area is selected as the potential area of the intelligent rural tourism environment in a certain area. According to the natural and cultural tourism resource conditions in the block, the potential block is divided into functions. A comprehensive comparison of the suitability spatial differentiation map of the smart rural tourism environment in a certain area with the suitability spatial differentiation map of each subsystem can more clearly find that the suitability score of the economic development subsystem and the basic support subsystem is a county-level village in a certain area. Among them, the suitability of the rural economic development subsystem is similar to the distribution of the suitability of the smart rural tourism environment in a certain area; that is, it is positively correlated with the suitability of the smart rural tourism environment. Therefore, improving the level of rural economic development and increasing investment in the construction of a smart rural tourism environment play an important role in improving the level of public services and infrastructure coverage.

scholarly journals Study on Rural Residents’ Satisfaction with the Clean Energy Heating Program in Northern China—A Case Study of Shandong Province

2021 ◽  
Vol 13 (20) ◽  
pp. 11412
Author(s):  
Xingmin Liu ◽  
Beibei Qin ◽  
Yong Wu ◽  
Ran Zou ◽  
Qing Ye
Keyword(s):  
Rural Areas ◽  
Evaluation System ◽  
Policy Design ◽  
Implementation Process ◽  
Clean Energy ◽  
Northern China ◽  
Shandong Province ◽  
Chinese Government ◽  
Entropy Weight ◽  
Rural Residents

The Chinese government announced the Clean Energy Heating Program in northern China in 2017, promoting clean energy for residents’ winter heating. The key difficulty of implementing this policy initiative lies in rural areas. This research hence focuses on evaluating the implementation of this policy in rural areas. Rural residents who directly benefit from, and are integrally involved in, the implementation process in Shandong Province were surveyed to evaluate their satisfaction with this policy. In order to identify their satisfaction indicators and obstacle factors, a TOPSIS obstacle model adjusted by entropy weight was developed. An evaluation system of the indicators of residents’ satisfaction with the policy was developed and converted into a questionnaire. The designed questionnaire was distributed to 341 rural residents in Jinan, Zibo and Heze in Shandong province. Data analysis suggests that, at the fiscal subsidies level, supporting infrastructure, technical supports and support organizations are four important factors affecting rural residents’ satisfaction. The key obstacle factors identified include technical support, supporting infrastructure, the operation subsidies level, heating cost, period of subsidies and achieved temperature. Corresponding suggestions for further clean energy heating policy design and implementation in rural areas in northern China are provided.

scholarly journals Comprehensive Analysis of Coordination Relationship between Water Resources Environment and High-Quality Economic Development in Urban Agglomeration in the Middle Reaches of Yangtze River

Water ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1301
Author(s):  
Hua Zhu ◽  
Jinsheng Zhu ◽  
Qiang Zou
Keyword(s):  
Economic Development ◽  
Water Resources ◽  
Yangtze River ◽  
Evaluation System ◽  
Urban Agglomeration ◽  
Grey Wolf Optimizer ◽  
Entropy Weight ◽  
High Quality ◽  
Coordination Model ◽  
Dynamic Coordination

Water resources environment and high-quality economic development both have crucial significance to sustainable development. To explore the nexus between them, an integrated evaluation system was firstly established in this study on the basis of their complicated synergy mechanism. Secondly, the index weights of urban agglomeration in the middle reaches of the Yangtze River from 2008 to 2017 were calculated by project pursuit-entropy weight method (PP-EWM) combined with an immune grey wolf optimizer algorithm (IGWO). Finally, the static and dynamic coordination degrees of 31 cities in the urban agglomeration were measured by membership function coordination model (MFCM), and the temporal and spatial characteristics of the coordination degrees were analyzed. The results showed that: (1) most cities in the urban agglomeration still had some room for improvement in terms of the water resources environment and high-quality economic development; (2) according to the changing characteristics of static coordination degrees, 31 cities were divided into five types, namely constantly rising type, constantly declining type, rising-declining type, declining-rising type and fluctuation type; (3) the dynamic coordination degrees demonstrated that the number of well coordinated cities decreased in recent years, and Xinyu and three provincial cities (i.e., Wuhan, Changsha and Nanchang) had poor performances. Overall, this study contributed to decision-making on synergic improvement between the water resources environment and high-quality economic development.

Economic Development and Population Growth

1973 ◽  
Vol 3 (4) ◽  
pp. 577-581
Author(s):  
Joseph J. Spengler
Keyword(s):  
Developing Countries ◽  
Economic Development ◽  
Spatial Distribution ◽  
Population Growth ◽  
Age Structure ◽  
Resource Use ◽  
Physical Environment ◽  
Economic Change ◽  
Economic Transformation ◽  
The Impact

Population growth has unfavorable consequences for economic transformation in much of the developing world. In this article characteristics of developing countries and their prospects for economic change are described. The impact of population growth on social and age structure, resource use, physical environment, spatial distribution, and occupational opportunity are discussed.

Entrepreneurship Problems and its remedies for Rural Villages in India

2019 ◽  
Vol 118 (3) ◽  
pp. 202-210
Author(s):  
Dileep N ◽  
Bhavani
Keyword(s):  
Economic Development ◽  
Rural Areas ◽  
Raw Materials ◽  
Main Stream ◽  
Rural Villages ◽  
Scarce Resources ◽  
Rural Livelihood ◽  
Effective Manner ◽  
Financial Growth ◽  
Marketing Methods

India’s most of the population lives in rural villages, approximately 73%  (SandeepSaxena) of the population held up with agriculture and associated works as their main stream of income resources. The Countries economic development and financial growth fundamentally depends on the rural area and their living standards of rural population. Entrepreneurship in rural areas is one of the utmost important initiate towards economic development of county and its constituencies. Rural Entrepreneurship facilitates to uses the scarce resources in most effective manner thus increasing profits and rural livelihood. Due to lack of educational knowledge gap most of the rural entrepreneurs are unaware of the innovative development techniques and modern marketing methods etc. The main problem faced by rural entrepreneurs is raw materials and financial investments. Commonly rural entrepreneurs face the strange problems like, lack of training and development programs, fear of risk, and lack of experience in business, illiteracy, limited market scope and competition from the city entrepreneurs.

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