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Remote sensing based analysis of linkages between urban green space dynamics and social-economic factors : a case study in Malmö, Sweden

Zhang, Yixin LU (2019) In Student thesis series INES NGEK01 20191
Dept of Physical Geography and Ecosystem Science
Abstract
The global rapid growing urban inhabitants and urbanization promotes a conflict with natural resources conservation, sustainable urban structure establishment, and urban expansion. Urban green space (UGS) plays an essential role in sustainable communities, human health promotion, and economic development, however, is gradually replaced by the basic infrastructures in the context of densification strategy for urban expansion. UGS that has multiple functions might be unequally distributed as social and economic discrepancy varies from different communities in cities.

This thesis aims to evaluate the historical variation and distribution of large-scale UGS from 1960 to 2016 with the growth of population and Commercial/ Industrial/... (More)
The global rapid growing urban inhabitants and urbanization promotes a conflict with natural resources conservation, sustainable urban structure establishment, and urban expansion. Urban green space (UGS) plays an essential role in sustainable communities, human health promotion, and economic development, however, is gradually replaced by the basic infrastructures in the context of densification strategy for urban expansion. UGS that has multiple functions might be unequally distributed as social and economic discrepancy varies from different communities in cities.

This thesis aims to evaluate the historical variation and distribution of large-scale UGS from 1960 to 2016 with the growth of population and Commercial/ Industrial/ Residential area (CIR area) in Malmö municipality, Sweden. It further aims to analyse the area of the UGS in each district with considering the social-economic factors in order to identify, which zone in the city lacks of UGS and if the UGS are evenly distributed. Part of this thesis is also to create a regression model with the variables for predicting future the UGS and generating suggestion adapted to the densified urban structure and future planning.

The study found a downward trend of the UGS during the 50 years associated with the variation of policies and urban plan, which, however, did not correlate significantly with the population growth and CIR area development. The UGS was found to be unevenly distributed in the west and east, potentially related to the population density, CIR area, and income level. The models for predicting future UGS, however, are not accurate due to the limitation of explanatory power of the chosen variables (such as walking distance to park, waterbodies and public transport infrastructure). (Less)
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author
Zhang, Yixin LU
supervisor
organization
course
NGEK01 20191
year
type
M2 - Bachelor Degree
subject
keywords
UGS, population, CIR area, Urban expansion, sustainable, social-economic factors
publication/series
Student thesis series INES
report number
479
language
English
id
8984115
date added to LUP
2019-06-17 11:13:43
date last changed
2019-06-17 11:13:43
@misc{8984115,
  abstract     = {{The global rapid growing urban inhabitants and urbanization promotes a conflict with natural resources conservation, sustainable urban structure establishment, and urban expansion. Urban green space (UGS) plays an essential role in sustainable communities, human health promotion, and economic development, however, is gradually replaced by the basic infrastructures in the context of densification strategy for urban expansion. UGS that has multiple functions might be unequally distributed as social and economic discrepancy varies from different communities in cities. 

This thesis aims to evaluate the historical variation and distribution of large-scale UGS from 1960 to 2016 with the growth of population and Commercial/ Industrial/ Residential area (CIR area) in Malmö municipality, Sweden. It further aims to analyse the area of the UGS in each district with considering the social-economic factors in order to identify, which zone in the city lacks of UGS and if the UGS are evenly distributed. Part of this thesis is also to create a regression model with the variables for predicting future the UGS and generating suggestion adapted to the densified urban structure and future planning.

The study found a downward trend of the UGS during the 50 years associated with the variation of policies and urban plan, which, however, did not correlate significantly with the population growth and CIR area development. The UGS was found to be unevenly distributed in the west and east, potentially related to the population density, CIR area, and income level. The models for predicting future UGS, however, are not accurate due to the limitation of explanatory power of the chosen variables (such as walking distance to park, waterbodies and public transport infrastructure).}},
  author       = {{Zhang, Yixin}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{Student thesis series INES}},
  title        = {{Remote sensing based analysis of linkages between urban green space dynamics and social-economic factors : a case study in Malmö, Sweden}},
  year         = {{2019}},
}