scholarly journals Land Use Change in Coastal Cities during the Rapid Urbanization Period from 1990 to 2016: A Case Study in Ningbo City, China

2019 ◽  
Vol 11 (7) ◽  
pp. 2122 ◽  
Author(s):  
Chao Zhang ◽  
Shuai Zhong ◽  
Xue Wang ◽  
Lei Shen ◽  
Litao Liu ◽  
...  

Coastal cities have been experiencing tremendous land use changes worldwide. Studies on the consequences of land use change in coastal cities have provided helpful information for spatial regulations and have attracted increased attention. Changes in forests and water bodies, however, have rarely been investigated, challenging the formation of a holistic pattern of land use change. In this study, we selected Ningbo, China, as a case study area and analyzed its land use change from 1990 to 2016. Random forest (RF) classification was employed to derive land use information from Landsat images. Transition matrices and a distribution index (DI) were applied to identify the major types of land use transitions and their spatial variations by site-specific attributes. The results showed that the entire time period could be divided into two stages, based on the manifestations of land use change in Ningbo: 1990–2005 and 2005–2016. During 1990–2005, construction land expanded rapidly, mainly through the occupation of agricultural land and forest, while during 2005–2016, the main change trajectory turned out to be a small net change in construction land and a net increase in agricultural land sourced from construction land, forests, and water bodies. In terms of land use change by site-specific attributes, the rapid expansion of construction land around the municipal city center during 1990–2005 was restrained, and similar amounts of land conversion between construction and agricultural use occurred during 2005–2016. During the study period, areas undergoing land use change also showed trends of moving outward from the municipal city center and the county centers located adjacent to roads and the coastline and of moving up to hilly areas with steeper slopes and higher elevations. Protecting reclaimed agricultural land, improving the efficiency of construction land, and controlling forest conversion in hilly areas are suggested as spatial regulations in Ningbo city.

Author(s):  
Dipti Bakare

Abstract: Urbanization may be a process having a serious impact ashore use characteristics. Basically, as an impression of urbanization, the world is observed with rapid change within the land use character of agricultural land. Generally, the agricultural land is employed for various development activities like industrial establishments, residential colonies and other urban infrastructure during the method of urbanization. it's necessary to possess a periodical assessment of land use change for the developing populated area , which helps to make a decision the longer term expansion strategies for the world. Nashik city is located in the state of Maharashtra in the western part of India. It is one of the most dynamic cities of India with a rapid growth rate due to migration from various parts of Maharashtra. The Nashik city is presently spread over an area of 264.15 sq. km. with a periodical increase in municipal corporation boundary during the last few decades. As a result of urbanization and expansion of municipal corporation limits, the city has undergone drastic changes in land use character. In this study, land-use change is quantified for the existing six zones of Nashik city during the last 30 years using remote sensing and GIS. The study has analysed the relationship between urban expansion and the loss of agricultural land because of an increase in a built-up area and other land use. The study present excellent scenario for land use change during the year 1991, 2001, 2011 and 2020. This can surely guide the development strategies for the study area of Nashik. Also the study can be extended for conducting a suitability analysis to assess future change of land use based on various criteria. Keywords: Land use, Remote sensing, GIS, Supervised classification, Urbanization, Agricultural land loss


2014 ◽  
Vol 692 ◽  
pp. 115-120
Author(s):  
Shuai Shi ◽  
Zhi Hui Chen ◽  
Ji Qi ◽  
Yun Liu

Based on land use data and social economy data in 1999 and 2005, this article analyzed the spatial-temporal characteristics and driving factors of the land use change in Shunyi district by GIS technology and logistic regression analysis method. The result showed that transformation among different land use was dramatically changed from 1999 to 2005, such as the increase of construction land and the decrease of cultivated land and water area. Land transfer was mainly cultivated land to construction land, forest land, garden land, other land use; forest land to grass land and water area to cultivated land. The area of land changed from cultivated land to construction land was 14250.2hm2, and the ratio of the change is 20.09%; the changed land area from forest land to grass land was 887.6hm2 with 17.85% of changed ratio; the transformation area from water area to agricultural land was 1099.7hm2 and 23.75% of transformation ratio. The development of secondary and tertiary industry is the major driving factor of land use change from cultivated land to construction land, while the major reason for the changes from forest land to grass land and from water area to cultivated land was that the Caobai river has been dried up.


2006 ◽  
Vol 114 (2-4) ◽  
pp. 296-310 ◽  
Author(s):  
Anne Mottet ◽  
Sylvie Ladet ◽  
Nathalie Coqué ◽  
Annick Gibon

2019 ◽  
Author(s):  
Andri Suprayogi ◽  
Sawitri Subiyanto

Land Use change marked by the shift of land usage to another. Banyumanik Sub-district is an administrative areas in southern part of Semarang City with higher elevation compared to City Center. The increase of tidal flood caused changes the land use of Banyumanik to residential. In this study we try to model the land use change of Banyumanik using Land Use and Land Cover Changes (LULCC) Packages in R. Using land use of 2011, 2013, and 2016 as input, elevation, slope, and distance to road as parameters, and population data for growth analysis. This study consists of firstly, study area extraction from input and rasterization. Secondly change probability model creation and comparation of population changes to residential changes, Lastly, obtaining actual change and the probability models in the form of maps and charts that describes the land use change in the future as probability model. The land use change to residential does not cope the population growth, and resulting a higher population density. We also found a temporal pattern of residential occurance over residential probability, where occurance slightly decreases as the probability rises, but jumps for the highest probability. Between 2011 and 2013, from area of 0.126km2to 0.165km2. And between 2013 to 2016, it also shift from 0.177km2 to 0.286km2. It can be concluded that a general increment also took place to the existing pattern.


2012 ◽  
Vol 17 (2) ◽  
pp. 174-179 ◽  
Author(s):  
Chuanyan ZHOU ◽  
Xun CHEN ◽  
Xiaoling LIU ◽  
Weiquan ZHAO ◽  
Kun LI ◽  
...  

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