scholarly journals Bank herding in loan markets: Evidence from geographical data in Japan

2020 ◽  
Author(s):  
Ryuichi Nakagawa
Keyword(s):  
Geographical Data ◽  
Loan Markets

Banks’ Competitor-Specific Knowledge in Loan Markets

2013 ◽  
Author(s):  
Gus De Franco ◽  
Alexander S. Edwards ◽  
Scott Liao
Keyword(s):  
Specific Knowledge ◽  
Loan Markets

The analysis of geographical data

Geoforum ◽  
1971 ◽  
Vol 2 (3) ◽  
pp. 101-102
Author(s):  
R.M. Newcomb
Keyword(s):  
Geographical Data

scholarly journals Visualization of uncertainty and analysis of geographical data

2009 ◽  
Author(s):  
Jo Wood ◽  
Aidan Slingsby ◽  
Naz Khalili-Shavarini ◽  
Jason Dykes ◽  
David Mountain
Keyword(s):  
Geographical Data

scholarly journals A study on circulation of three dimension geographical data for road design

2007 ◽  
Vol 16 (0) ◽  
pp. 269-280
Author(s):  
Noriaki Aoyama ◽  
Ryuichi Imai ◽  
Kanya Watanabe ◽  
Fumihiko Kanazawa ◽  
Takayuki Mori
Keyword(s):  
Three Dimension ◽  
Geographical Data ◽  
Road Design

scholarly journals Overnight Interbank Loan Markets

2004 ◽  
Author(s):  
Selva Demiralp ◽  
Brian Preslopsky ◽  
William C. Whitesell
Keyword(s):  
Loan Markets

scholarly journals Analyzing the Level of Accessibility of Public Urban Green Spaces to Different Socially Vulnerable Groups of People

2018 ◽  
Vol 10 (11) ◽  
pp. 3917 ◽  
Author(s):  
K Rahman ◽  
Dunfu Zhang
Keyword(s):  
Green Space ◽  
Public Spaces ◽  
Google Earth ◽  
High Density ◽  
Green Spaces ◽  
Vulnerable Groups ◽  
Geographical Data ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Socially Vulnerable Groups

This study estimates the factors affecting socially vulnerable groups’ demand for and accessibility levels to green public spaces in Dhaka City, Bangladesh. Dhaka is a high-density city with one of the lowest levels of green space per capita in the world. Dhaka has just 8.5% of tree-covered lands, while an ideal city requires at least 20% of green space. Urban public green space provides a healthy environment to city dwellers as well as ecological soundness. This study aims to examine the effects of population density and size of a community area (Thana) on the social demand for and accessibility to green parks. To determine the socially vulnerable group demand index, this study used demographic data from the National Population and Housing Census 2011 conducted by the Bangladesh Bureau of Statistics. This study used geographical data extracted from Google Earth Pro to measure accessibility levels, and additionally analyzed geographical data with ArcGIS 10.0 and Google Earth Pro. We drew radius circles using Free Map Tools to measure time-distance weighted scores from community areas to urban green spaces. The results show that the large population size of socially vulnerable groups creates very high demand at the score of 0.61 for urban green public parks and small-sized, high-density community areas generate very good accessibility at 2.01% to green public spaces. These findings are highly useful to policymakers, urban planners, landscape engineers, and city governments to make a compact city sustainable, inclusive, and resilient. Moreover, the notion of a “smart city” might be a smart solution in order to manage Dhaka Megacity sustainably in this modern technological age.

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