Hukou Constraint, Land Regulation, and Labor Spatial Allocation

2021 ◽  
Author(s):  
Wenbin Huang ◽  
Xi Wang
Keyword(s):  
Spatial Allocation ◽  
Land Regulation

Spatial Allocation Effects of Forecast Land Uses on Statewide Mobile Source Emissions

2009 ◽  
Author(s):  
Michael DuRoss ◽  
Reza Taromi ◽  
Ardeshir Faghri ◽  
Scott Thompson-Graves
Keyword(s):  
Land Uses ◽  
Mobile Source ◽  
Spatial Allocation ◽  
Mobile Source Emissions

scholarly journals Bottom-Up Emission Inventory and Its Spatio-Temporal Distribution from Paved Road Dust Based on Field Investigation: A Case Study of Harbin, Northeast China

Atmosphere ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 449
Author(s):  
Lili Li ◽  
Kun Wang ◽  
Zhijian Sun ◽  
Weiye Wang ◽  
Qingliang Zhao ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Emission Inventory ◽  
Road Dust ◽  
Field Investigation ◽  
Pollutant Emissions ◽  
County Level ◽  
Bottom Up ◽  
Spatial Allocation ◽  
Paved Road

Road dust is one of the primary sources of particulate matter which has implications for air quality, climate and health. With the aim of characterizing the emissions, in this study, a bottom-up approach of county level emission inventory from paved road dust based on field investigation was developed. An inventory of high-resolution paved road dust (PRD) emissions by monthly and spatial allocation at 1 km × 1 km resolution in Harbin in 2016 was compiled using accessible county level, seasonal data and local parameters based on field investigation to increase temporal-spatial resolution. The results demonstrated the total PRD emissions of TSP, PM10, and PM2.5 in Harbin were 270,207 t, 54,597 t, 14,059 t, respectively. The temporal variation trends of pollutant emissions from PRD was consistent with the characteristics of precipitation, with lower emissions in winter and summer, and higher emissions in spring and autumn. The spatial allocation of emissions has a strong association with Harbin’s road network, mainly concentrating in the central urban area compared to the surrounding counties. Through scenario analysis, positive control measures were essential and effective for PRD pollution. The inventory developed in this study reflected the level of fugitive dust on paved road in Harbin, and it could reduce particulate matter pollution with the development of mitigation strategies and could comply with air quality modelling requirements, especially in the frigid region of northeastern China.

Consistency of the spatial allocation of NHS hospital resources: an econometric analysis

1991 ◽  
Vol 23 (10) ◽  
pp. 1623-1636 ◽  
Author(s):  
K. E. Hancock ◽  
D. R. Holden ◽  
J. K. Swales
Keyword(s):  
Econometric Analysis ◽  
Spatial Allocation ◽  
Hospital Resources

An Approach to Solving Spatial-Allocation Models with Constraints

1979 ◽  
Vol 11 (1) ◽  
pp. 3-22 ◽  
Author(s):  
I N Williams
Keyword(s):  
Urban Economics ◽  
Dimensional Space ◽  
Spatial Interaction ◽  
Spatial Location ◽  
Type Model ◽  
Model Framework ◽  
Allocation Model ◽  
Spatial Allocation ◽  
Practical Applications ◽  
Wide Range

This paper introduces a loose-knit family of spatial-allocation models, which locate entities in two-dimensional space, based on a general framework which merges an input—output type model with a spatial-interaction type model. Explicit attention is paid to the solution and interpretation of constraints on the subtotals generated within these models. In this way a link is forged between the fields of land-use modelling and urban economics. One efficient method of solving a particular form of spatial-allocation model is described in detail and some characteristics of this and alternative approaches are discussed. Four practical applications of the spatial-allocation model framework are outlined to demonstrate its wide range of usefulness in representing spatial-location processes.

FORMULATION AND TEST OF A NORMATIVE MODEL FOR THE SPATIAL ALLOCATION OF GROCERY EXPENDITURES BY A DISPERSED POPULATION

1967 ◽  
Vol 57 (2) ◽  
pp. 389-400 ◽  
Author(s):  
GERARD RUSHTON ◽  
REGINALD G. GOLLEDGE ◽  
W. A. V. CLARK
Keyword(s):  
Normative Model ◽  
Spatial Allocation

scholarly journals Financial mechanism of state land regulation in Ukraine

2017 ◽  
Vol 1 (1) ◽  
pp. 15-22 ◽  
Author(s):  
Serhiy Frolov ◽  
◽  
Nataliya Pedchenko ◽  
Nataliya Vygovska ◽  
◽  
...  
Keyword(s):  
Land Regulation ◽  
Financial Mechanism

scholarly journals The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use

2019 ◽  
Vol 11 (3) ◽  
pp. 1385-1409 ◽  
Author(s):  
Stefan Leyk ◽  
Andrea E. Gaughan ◽  
Susana B. Adamo ◽  
Alex de Sherbinin ◽  
Deborah Balk ◽  
...  
Keyword(s):  
Large Scale ◽  
Population Data ◽  
Disaster Risk ◽  
Spatial Allocation ◽  
Quality Aspects ◽  
Data Products ◽  
Methodological Approaches ◽  
Different Characteristics ◽  
Population Counts ◽  
Relative Quality

Abstract. Population data represent an essential component in studies focusing on human–nature interrelationships, disaster risk assessment and environmental health. Several recent efforts have produced global- and continental-extent gridded population data which are becoming increasingly popular among various research communities. However, these data products, which are of very different characteristics and based on different modeling assumptions, have never been systematically reviewed and compared, which may impede their appropriate use. This article fills this gap and presents, compares and discusses a set of large-scale (global and continental) gridded datasets representing population counts or densities. It focuses on data properties, methodological approaches and relative quality aspects that are important to fully understand the characteristics of the data with regard to the intended uses. Written by the data producers and members of the user community, through the lens of the “fitness for use” concept, the aim of this paper is to provide potential data users with the knowledge base needed to make informed decisions about the appropriateness of the data products available in relation to the target application and for critical analysis.

scholarly journals Spatial allocation of anthropogenic carbon dioxide emission statistics data fusing multi-source data based on Bayesian network

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jianbin Tao ◽  
XiangBing Kong
Keyword(s):  
Carbon Dioxide ◽  
Land Cover ◽  
Point Source ◽  
Bayesian Network ◽  
Prior Knowledge ◽  
Carbon Dioxide Emissions ◽  
Spatial Allocation ◽  
Source Data ◽  
Anthropogenic Carbon ◽  
Anthropogenic Carbon Dioxide

AbstractA gridded social-economic data is essential for geoscience analysis and multidisciplinary application. Spatial allocation of carbon dioxide statistics data is an important issue in the context of global climate change, which involves the carbon emissions accounting and decomposition of responsibility for carbon emission reductions. In this research a new spatial allocation method for non-point source anthropogenic carbon dioxide emissions (ACDE) fusing multi-source data using Bayesian Network (BN) was introduced. In addition to common-used DMSP (Defense Meteorological Satellite Program), PD (population density) and GDP (Gross Domestic Production) data, the land cover and vegetation data was imported into the model as prior knowledge to optimize the model fitting. The prior knowledge here was based on the understanding that ACDE was dominated by human activities and has strong correlations with land cover and vegetation conditions. A 1 km gridded ACDE map integrated emissions form point-source and non-point source was generated and validated. The model predicts ACDE with high accuracies and great improvement can be observed when fusing land cover and vegetation as prior knowledge. The model can achieve successful statistics data downscaling on national scale provided adequate sample data are available, offering a novel method for ACDE accounting in China.

Sign in / Sign up

Export Citation Format

Share Document