EFFECTS OF INFRASTRUCTURE DEVELOPMENT PROJECTS TO TRAVEL ACTIVITIES OF FARM FAMILIES IN THE SECOND DISTRICT OF NUEVA ECIJA, PHILIPPINES

2021 ◽  
Author(s):  
June Vana ◽  
Danilo Vargas ◽  
CHRYSL AVEGEIL VALLEJO ◽  
Pablo Rafael ◽  
Parsons Hail ◽  
...  
2021 ◽  
Author(s):  
June Vana ◽  
Danilo Vargas ◽  
CHRYSL AVEGEIL VALLEJO ◽  
Pablo Rafael ◽  
Parsons Hail

Technologies ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 54
Author(s):  
Bozkurt ◽  
Karwowski ◽  
Çakıt ◽  
Ahram

This study presents a cellular automata (CA) model to assist decision-makers in understanding the effects of infrastructure development projects on adverse events in an active war theater. The adverse events are caused by terrorist activities that primarily target the civilian population in countries such as Afghanistan. In the CA-based model, cells in the same neighborhood synchronously interact with one another to determine their next states, and small changes in iteration yield to complex formations of adverse event risks. The results demonstrate that the proposed model can help in the evaluation of infrastructure development projects in relation to changes in the reported adverse events, as well as in the identification of the geographical locations, times, and impacts of such developments. The results also show that infrastructure development projects have different impacts on the reported adverse events. The CA modeling approach can be used to support decision-makers in allocating infrastructure development funds to stabilize active war regions with higher adverse event risks. Such models can also improve the understanding of the complex interactions between infrastructure development projects and adverse events.


2021 ◽  
Author(s):  
June Vana ◽  
Danilo Vargas ◽  
CHRYSL AVEGEIL VALLEJO ◽  
Pablo Rafael ◽  
Parsons Hail ◽  
...  

2009 ◽  
Vol 3 ◽  
pp. 9-15 ◽  
Author(s):  
Don Messerschmidt

‘Risk' is a major point of focus in the literature on resettlement and reconstruction associated with the impacts of major infrastructure development on project affected individuals and families. Previous approaches to risk appear to emphasize the negative consequences of development, and it is no wonder then that project affected people often emphatically resist development and change. This paper proposes that a more pro-active, positive opportunities and benefits approach be taken in dealing with resettlement and reconstruction associated with large scale infrastructure projects. The discussion is focused on the eight ‘risk factors' (or ‘opportunity factors'?) listed in the well known ‘Impoverishment Risk and Reconstruction' (IRR) Model. Three more such factors are added to the list based on field experience in South Asia. The point is that by emphasizing the potential opportunities and benefits, project affected people are more likely to be supportive of projects that may disrupt their lives. Key words: Resettlement, opportunities, risk, IRR model, South Asia, infrastructure development  doi: 10.3126/hn.v3i0.1912 Hydro Nepal: Journal of Water, Energy and Environment Issue No. 3, January, 2008 Page 9-15


2016 ◽  
Vol 14 ◽  
pp. 467-473 ◽  
Author(s):  
Olivier Van Damme ◽  
Hinko Van Geelen ◽  
Patricia Courange

Author(s):  
Le Phuong Thuy ◽  
Bui Ngoc Tu ◽  
Pham Le Tuan ◽  
Tran Quoc Binh

Urban transportation infrastructure development projects usually act as a lever for real estate values. This research aims to assess the effects of some projects on urban land prices in three wards of Cau Giay District, namely Quan Hoa, Dich Vong, and Dich Vong Hau wards. With 161 samples surveyed, we established a multivariate linear regression model initially having 11 variables. As the result, six variables are identified as having significant effect on land prices in the study area. Among those, three variables are related to the local transportation infrastructure, namely: location of land parcels; distance to urban railway lines; and distance to public transport stations. Location of land parcels and distance to public transport stations are factors that have a significant influence in reality. Besides, the distance to the urban railway lines is the factor that has a positive impact on land prices, but it is only still a potential and should be extensively investigated in the future because the urban railway project is still in the implementation phase.


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