Multi-sector Partnerships in Disaster Housing Recovery: An Examination of Housing Development Approaches in India

2014 ◽  
pp. 351-369 ◽  
Author(s):  
Simon A. Andrew ◽  
Sudha Arlikatti
Keyword(s):  
Housing Development ◽  
Housing Recovery

A Medieval Burial from Graham Street, Leith, Edinburgh

2003 ◽  
Vol 25 (2) ◽  
pp. 165-169
Author(s):  
Paul R. J. Duffy ◽  
Olivia Lelong
Keyword(s):  
Contextual Information ◽  
Human Remains ◽  
Housing Development ◽  
Archaeological Research ◽  
Archaeological Excavation ◽  
Radiocarbon Dates ◽  
Physical Evidence ◽  
Research Division ◽  
The North ◽  
The Individual

Summary An archaeological excavation was carried out at Graham Street, Leith, Edinburgh by Glasgow University Archaeological Research Division (GUARD) as part of the Historic Scotland Human Remains Call-off Contract following the discovery of human remains during machine excavation of a foundation trench for a new housing development. Excavation demonstrated that the burial was that of a young adult male who had been interred in a supine position with his head orientated towards the north. Radiocarbon dates obtained from a right tibia suggest the individual died between the 15th and 17th centuries AD. Little contextual information exists in documentary or cartographic sources to supplement this scant physical evidence. Accordingly, it is difficult to further refine the context of burial, although a possible link with a historically attested siege or a plague cannot be discounted.

OVERSUPPLY OF THE HIGH-COST HOUSING IN MALAYSIA

2020 ◽  
Vol 7 (2) ◽  
pp. 91
Author(s):  
Fazilah Ramli ◽  
Rozlin Zainal ◽  
Maimunah Ali
Keyword(s):  
Housing Market ◽  
Housing Development ◽  
Development Projects ◽  
Housing Supply ◽  
Huge Number ◽  
Housing Type ◽  
Housing Units

High overhang of housing rates together with the price of houses offered continues to rise lead to Malaysian housing market become very unaffordable. Therefore, it is important to investigate the reason behind the developer’s action in continuing to develop the high-cost housing despite the huge number of unsold housing units in the market in Malaysia. Respondents involved in this study were housing developers from Johor, Selangor and Perak who are currently or previously involved in the high-cost housing development projects that priced above RM300,000. The paper is expected that the developers able to meet the actual housing supply for high-cost housing type.

Rancang Bangun Sistem Informasi Untuk Menentukan Kapabilitas Konsumen Dalam Mengambil Pinjaman KPR

2016 ◽  
Vol 7 (2) ◽  
pp. 75-80
Author(s):  
Adhi Kusnadi ◽  
Risyad Ananda Putra
Keyword(s):  
Data Mining ◽  
Low Income ◽  
Cross Validation ◽  
Classification Tree ◽  
Large Population ◽  
Housing Development ◽  
Good Precision ◽  
Index Terms ◽  
The Government ◽  
Fold Cross Validation

Indonesia is one country that has a relatively large population . The government in the period of 5 years, annually hold a procurement program 1 million FLPP house units. This program is held in an effort to provide a decent home for low income people. FLPP housing development requires good precision and speed of development on the part of the developer, this is often hampered by the bank process, because it is difficult to predict the results and speed of data processing in the bank. Knowing the ability of consumers to get subsidized credit, has many advantages, among others, developers can plan a better cash flow, and developers can replace consumers who will be rejected before entering the bank process. For that reason built a system that can help developers. There are many methods that can be used to create this application. One of them is data mining with Classification tree. The results of 10-fold-cross-validation applications have an accuracy of 92%. Index Terms-Data Mining, Classification Tree, Housing, FLPP, 10-fold-cross Validation, Consumer Capability

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