scholarly journals The Interaction Relationship between Land Use Patterns and Socioeconomic Factors Based on Wavelet Analysis: A Case Study of the Black Soil Region of Northeast China

Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1237
Author(s):  
Yue Wang ◽  
Ge Song ◽  
Wenying Li
Keyword(s):  
Land Use ◽  
Wavelet Transform ◽  
Wavelet Analysis ◽  
Socioeconomic Factors ◽  
Social Progress ◽  
Land Use Intensity ◽  
Land Use Patterns ◽  
Dry Land ◽  
Use Patterns ◽  
The Impact

Analyzing the interaction between land use patterns (LUPs) and socioeconomic factors (SEFs) could provide a basis for regional land spatial planning and management decisions in the future. In this study, population, gross domestic product (GDP) and land use intensity were selected to explain the relationship between SEFs and LUPs. The study designed a new method of sample line acquisition for wavelet analysis, and identified the interaction grid scales of LUP changes with SEFs in 1991, 2005 and 2019 by using cross wavelet transform analysis (XWT). Wavelet transform coherent analysis (WTC) was used to reveal the interaction direction and impact strength between LUPs and SEFs. The results showed that: (1) There were two ranges of 2978–5008 m and 24,400–29,738 m in which the grid scales showing interaction between LUPs and SEFs (population, GDP and land use intensity) from 1991 to 2019 were overlapping. (2) The interaction direction between LUPs and SEFs from 1991 to 2019 was almost negative on all sample lines, while the interaction directions of the middle sample line of population and GDP from 1991 to 2019, the end sample line of GDP in 2019, and the start sample line of land use intensity in 1991 were positive. (3) Dry land, grassland and construction land were most affected by SEFs, followed by paddy fields, forest land and other land, and the least affected were water areas during 1991 to 2019. The impact of population and GDP on LUPs was reduced, while the impact of land use intensity on LUPs was increased from 1991 to 2019. Overall, population, GDP and land use intensity were the important SEFs in the changes of LUPs, and were important factors for social progress and economic development.

scholarly journals Impacts of Urbanization on Land Use Pattern and Environment: A Case Study of Ajmer City, Rajasthan

2019 ◽  
Vol 8 (1) ◽  
pp. 87-91
Author(s):  
Bhanu Priya Chouhan ◽  
Monika Kannan
Keyword(s):  
Land Use ◽  
Urban Growth ◽  
Land Degradation ◽  
Satellite Images ◽  
Agricultural Land ◽  
Population Pressure ◽  
Geographical Information ◽  
Land Use Patterns ◽  
Use Patterns ◽  
The Impact

The world is undergoing the largest wave of urban growth in history. More than half of the world’s population now lives in towns and cities, and by 2030 this number will swell to about 5 billion. ‘Urbanization has the potential to usher in a new era of wellbeing, resource efficiency and economic growth. But due to increased population the pressure of demand also increases in urban areas’ (Drakakis-Smith, David, 1996). The loss of agricultural land to other land uses occasioned by urban growth is an issue of growing concern worldwide, particularly in the developing countries like India. This paper is an attempt to assess the impact of urbanization on land use and land cover patterns in Ajmer city. Recent trends indicate that the rural urban migration and religious significance of the place attracting thousands of tourists every year, have immensely contributed in the increasing population of city and is causing change in land use patterns. This accelerating urban sprawl has led to shrinking of the agricultural land and land holdings. Due to increased rate of urbanization, the agricultural areas have been transformed into residential and industrial areas (Retnaraj D,1994). There are several key factors which cause increase in population here such as Smart City Projects, potential for employment, higher education, more comfortable and quality housing, better health facilities, high living standard etc. Population pressure not only directly increases the demand for food, but also indirectly reduces its supply through building development, environmental degradation and marginalization of food production (Aldington T, 1997). Also, there are several issues which are associated with continuous increase in population i.e. land degradation, pollution, poverty, slums, unaffordable housing etc. Pollution, formulation of slums, transportation congestion, environmental hazards, land degradation and crime are some of the major impacts of urbanization on Ajmer city. This study involves mapping of land use patterns by analyzing data and satellite imagery taken at different time periods. The satellite images of year 2000 and 2017 are used. The change detection techniques are used with the help of Geographical Information System software like ERDAS and ArcGIS. The supervised classification of all the three satellite images is done by ERDAS software to demarcate and analyze land use change.

scholarly journals The Impacts of Land Use Patterns on Water Quality in a Trans-Boundary River Basin in Northeast China Based on Eco-Functional Regionalization

2018 ◽  
Vol 15 (9) ◽  
pp. 1872 ◽  
Author(s):  
Peixuan Cheng ◽  
Fansheng Meng ◽  
Yeyao Wang ◽  
Lingsong Zhang ◽  
Qi Yang ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
River Basin ◽  
Natural Environment ◽  
Flow Region ◽  
High Flow ◽  
Land Use Patterns ◽  
Use Patterns ◽  
The Impact ◽  
Degraded Water Quality

The relationships between land use patterns and water quality in trans-boundary watersheds remain elusive due to the heterogeneous natural environment. We assess the impact of land use patterns on water quality at different eco-functional regions in the Songhua River basin during two hydrological seasons in 2016. The partial least square regression indicated that agricultural activities associated with most water quality pollutants in the region with a relative higher runoff depth and lower altitude. Intensive grazing had negative impacts on water quality in plain areas with low runoff depth. Forest was related negatively with degraded water quality in mountainous high flow region. Patch density and edge density had major impacts on water quality contaminants especially in mountainous high flow region; Contagion was related with non-point source pollutants in mountainous normal flow region; landscape shape index was an effective indicator for anions in some eco-regions in high flow season; Shannon’s diversity index contributed to degraded water quality in each eco-region, indicating the variation of landscape heterogeneity influenced water quality regardless of natural environment. The results provide a regional based approach of identifying the impact of land use patterns on water quality in order to improve water pollution control and land use management.

scholarly journals The Impact of New Industry on County Government Property Tax Revenue

1980 ◽  
Vol 12 (1) ◽  
pp. 193-197 ◽  
Author(s):  
Mark Henry ◽  
Kathy Lambert
Keyword(s):  
Land Use ◽  
Private Sector ◽  
Land Use Patterns ◽  
Fiscal Impact ◽  
The Public ◽  
Use Patterns ◽  
Local Officials ◽  
The Impact ◽  
New Industry ◽  
New Jobs

The attraction of new industry is an ongoing concern for most local officials. Generally, local officials are aware of the private sector benefits of new jobs and income. Attention is beginning to be paid to secondary private sector impacts such as the effect of new industry on local wage rates and the problems associated with in-migration of labor to fill new jobs. Borts and Stein (Chapter 9) give a theoretical discussion of these issues.In addition researchers and policy makers are interested in the development of models that estimate the impact of new industry on local government expenditures and revenues. Many computerized versions of local fiscal impact models are reviewed in a recently published text (Burchell and Listokin, pp. 345-59). The popularity of these models is understandable because of the potential benefits to be derived from accurate forecasts of local fiscal impact. For example, a community can determine the magnitude of a tax incentive it can offer to industry and still maintain a positive fiscal impact for local government. Zoning laws can be written to encourage land use patterns that will be efficient from the public sector's perspective if the public expenditures and public revenues associated with alternative land use patterns can be predicted. Finally, local areas may be able to demonstrate to state government that a large-scale industrial project will benefit the fiscal position of the state but be a burden to the local fiscal balance.

Solution of export coefficients of nitrogen from different land-use patterns based on Bayesian analysis

2013 ◽  
Vol 68 (3) ◽  
pp. 632-640 ◽  
Author(s):  
Mei Liu ◽  
Jun Lu
Keyword(s):  
Land Use ◽  
Probability Distribution ◽  
River System ◽  
Quality Model ◽  
Land Use Patterns ◽  
Dry Land ◽  
K Value ◽  
Barren Land ◽  
Posterior Probability Distribution ◽  
Use Patterns

The export coefficient model has been applied worldwide to the estimation of non-point source (NPS) pollution. Determining the export coefficients (ECs) from each pollution source and different space–time progressions is problematic because of uncertainty in the ECs of nitrogen from different land-use patterns. Bayesian theory uses the prior probability distribution and likelihood data to generate a posterior probability distribution. The total nitrogen (TN) ECs and stream loss rates K (d−1) for five land-use patterns were estimated by combining published results with monthly data for ChangLe River system for 2004–08. After 104 iterations, the results had small Markov chain Monte Carlo errors and convergence was obtained. Average TN ECs for the entire watershed were 26.1 ± 8.8, 70.3 ± 9.4, 41.7 ± 6.9, 8.9 ± 1.6 and 6.2 ± 0.5 kg ha−1 yr−1 for paddy field, dry land, residential land, woodland and barren land with coefficients of variation (CVs) of 16.9, 6.31, 8.91, 13.3 and 27.9% among sub-catchments respectively. The average K value was 0.33 d−1 with a CV of 11.3%. Estimated ECs, K and the coupling water quality model were used to predict the years 2008 and 2009; the results validated the model. This Bayesian model can determine ECs using prior knowledge and monitored data, overcoming the problems of the regression model. The model facilitates explicit consideration of uncertainty in NPS management.

Exploring Taxi Demand Distribution of Comprehensive Land-Use Patterns Using Online Car-Hailing Data and Points of Interest in Chengdu, China

2021 ◽  
pp. 036119812110152
Author(s):  
Weijie Yu ◽  
Wei Wang ◽  
Xuedong Hua ◽  
Xueyan Wei
Keyword(s):  
Land Use ◽  
Urban Areas ◽  
Land Use Intensity ◽  
Land Use Patterns ◽  
Land Use Pattern ◽  
Traffic Demand ◽  
Use Patterns ◽  
Demand Distribution ◽  
Points Of Interest ◽  
Use Pattern

With the rapid advance of urbanization, land-use intensity is increasing, and various land-use forms gather to form comprehensive land-use patterns. Traffic demand shows variability and complexity under comprehensive land-use patterns. Accurate analysis of traffic demand in urban transportation is the key to active traffic control and road guidance. Researchers have widely studied the relationship between traffic demand and land-use patterns, while land-use intensity is ignored when classifying land-use patterns, and the traffic demand distribution in each land-use pattern is not studied specifically. Taxi is a flexible public mode in urban areas, and taxi demand is an important component in analyzing traffic demand and identifying traffic hotspots in cities. This paper explores taxi demand distribution of comprehensive land-use patterns using online car-hailing data and points of interest (POI) in Chengdu, China. The demand-driven traffic analysis zones are developed by clustering origin–destination points of online car-hailing services. Using POI data, comprehensive land-use patterns are classified with land-use forms and land-use intensity. The K-shape algorithm is adopted to extract the typical taxi demand distribution in each comprehensive land-use pattern. Finally, two indicators, total taxi demand (TTD) and taxi demand difference (TDD), are computed and further analyzed. Results show that taxi demand distribution is still differential even under the same land-use pattern. Three land-use patterns whose average hourly taxi demand reaches about 300 vehicles per square kilometer have the largest TTD and most uneven TDD. The findings can support traffic management, land-use combination, and land-use adjustment to avoid concentrated taxi demand and mismatched TDD.

Paddlefish Management, Propagation, and Conservation in the 21st Century

2009 ◽  
Keyword(s):  
Land Use ◽  
Global Climate ◽  
Anthropogenic Activities ◽  
Fish Passage ◽  
Home Ranges ◽  
Land Use Patterns ◽  
Habitat Alterations ◽  
Use Patterns ◽  
Anthropogenic Habitat ◽  
The Impact

<em>Abstract</em>.—Paddlefish <em>Polyodon spathula </em>are large, riverine fishes that occupy extensive home ranges and often migrate long distances in spring to spawn. As a result of these life history characteristics, paddlefish require many habitats to sustain their population over time. Largely as a result of anthropogenic activities, many of the habitats historically used by paddlefish have been altered or destroyed and remaining paddlefish habitats are being threatened by dam construction, channelization and dredging, and altered land use within watersheds. Understanding how habitat alteration may affect paddlefish populations, and identifying threats to current paddlefish habitat, is needed for the management of this species. We review the threats to paddlefish habitats and assess how anthropogenic habitat alterations, such as changes to natural hydrology through the construction of dams and channelization of large rivers or altered land-use patterns leading to increased sedimentation, have affected paddlefish populations. Recent river restoration and conservation measures that help protect and restore paddlefish habitats include fish passage structures and controlled water releases from dams to simulate a more natural hydrograph. New threats such as global climate change may alter paddlefish habitats in the future. Continued efforts to minimize the impact of anthropogenic changes to paddlefish habitats, and measures to restore natural riverine conditions, may help conserve vital habitats for paddlefish populations.

Local Housing Supply and the Impact of History and Geography

Urban Studies ◽  
2011 ◽  
Vol 48 (14) ◽  
pp. 3107-3124 ◽  
Author(s):  
Geoffrey Meen ◽  
Christian Nygaard
Keyword(s):  
Land Use ◽  
Housing Supply ◽  
Land Use Patterns ◽  
Use Patterns ◽  
Local Areas ◽  
Local Supply ◽  
Historical Land Use ◽  
The Impact ◽  
Market Pressures ◽  
Planning Policies

This paper considers the impact of existing land use patterns on housing supply price elasticities in local areas of England, under existing planning policies. The paper demonstrates that, despite common national planning policies, local supply responses to market pressures vary considerably, because of differences in historical land uses. The study area covers the Thames Gateway and Thames Valley, which lie to the east and west of London respectively. However, whereas the latter is one of the wealthiest areas of England, the former includes some of the highest pockets of deprivation and was a government priority area for increasing housing supply. Due to differences in historical land use and geography, the price elasticity in the least constrained area is approximately six times higher than the most constrained.

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