scholarly journals Effects of Urban Transportation Infrastructure Development Projects on Residential Land Price in Cau Giay District, Hanoi City

2020 ◽  
Vol 36 (4) ◽  
Author(s):  
Le Phuong Thuy ◽  
Bui Ngoc Tu ◽  
Pham Le Tuan ◽  
Tran Quoc Binh
Keyword(s):  
Linear Regression ◽  
Public Transport ◽  
Positive Impact ◽  
Urban Transportation ◽  
Transportation Infrastructure ◽  
Development Projects ◽  
Multivariate Linear Regression Model ◽  
Infrastructure Development ◽  
Implementation Phase ◽  
Land Prices

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.

scholarly journals Economic Impact Analysis of Improved Connectivity in Nepal

2020 ◽  
Author(s):  
Tadateru Hayashi ◽  
Sanchita Basu Das ◽  
Manbar Singh Khadka ◽  
Ikumo Isono ◽  
Souknilanh Keola ◽  
...  
Keyword(s):  
Economic Impact ◽  
Impact Analysis ◽  
Simulation Analysis ◽  
Developing Economies ◽  
Positive Impact ◽  
Development Projects ◽  
Infrastructure Development ◽  
Economic Impact Analysis ◽  
The Government ◽  
Mode Of Transport

This study estimates and analyzes the economic impact of ongoing and future infrastructure development projects in Nepal by using the geographical simulation model developed by the Institute of Developing Economies (IDE-GSM). The IDE-GSM is a computational general equilibrium model based on spatial economics. The simulation analysis reveals that ongoing infrastructure development projects in Nepal benefit the country’s economy, and that the planned connectivity improvement with India will have positive impact with anticipated major shift in mode of transport for trade. The study takes into consideration efforts by the Government of Nepal to promote and strengthen international connectivity under the South Asia Subregional Economic Cooperation framework.

Raw milk collection in Ireland: insights into the challenges facing the industry

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Seán O'Callaghan ◽  
Declan O. Connor ◽  
David Goulding
Keyword(s):  
Positive Impact ◽  
Environmental Issues ◽  
Raw Milk ◽  
Transportation Costs ◽  
Transportation Infrastructure ◽  
Environmental Cost ◽  
Future Research ◽  
Content Type ◽  
Depth Analysis ◽  
Transportation Emissions

PurposeThis paper provides insights into national practices used to schedule, collect and manage the transportation infrastructure of raw milk by Irish processors.Design/methodology/approachA survey was designed and distributed to 14 processors, collecting details regarding suppliers, seasonality, costs per litre, planning, processing sites and emissions related to milk collection.FindingsIrish raw milk transportation costs €95 million per annum, with an average weighted cost of 1.1 cents per litre. Primary route clustering of suppliers is based on farm location. Typically, collections employ forty-eight-hour rotas. Just three of the processors reported transportation emissions data. A disjointed approach to the adoption of scheduling and transportation technology was revealed.Research limitations/implicationsGiven the broad scope of the survey covering financial, operational and environmental aspects of milk collection, it was challenging to find a single representative such as a transport manager who could be tasked with responding to the entire survey. Future research may consider a more focused interview-based approach with the various stakeholders to provide a more in-depth analysis.Practical implicationsProcessors can gain an improved understanding of diversified milk collection methods. The research supports policymakers in considering environmental issues related to milk transportation. Costs could be reduced if transportation was better managed collectively with benefits accruing to the industry, suppliers and wider rural community. Stakeholders will need to address aspects of responsibility concerning environmental issues going forward.Social implicationsIn this paper the authors recognise the environmental cost of milk collection. By improving the transportation infrastructure, this will have a positive impact on society in general.Originality/valueThe paper highlights the unique challenges and extends present knowledge in relation to milk collection; thus, this paves the way for new approaches to raw milk transportation.

scholarly journals Short period PM2.5 prediction based on multivariate linear regression model

PLoS ONE ◽  
2018 ◽  
Vol 13 (7) ◽  
pp. e0201011 ◽  
Author(s):  
Rui Zhao ◽  
Xinxin Gu ◽  
Bing Xue ◽  
Jianqiang Zhang ◽  
Wanxia Ren
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
Multivariate Linear Regression ◽  
Multivariate Linear Regression Model ◽  
Short Period

scholarly journals A Cellular Automata Model of the Relationship between Adverse Events and Regional Infrastructure Development in an Active War Theater

Technologies ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 54
Author(s):  
Bozkurt ◽  
Karwowski ◽  
Çakıt ◽  
Ahram
Keyword(s):  
Adverse Event ◽  
Cellular Automata ◽  
Adverse Events ◽  
Decision Makers ◽  
Development Projects ◽  
Infrastructure Development ◽  
Complex Interactions ◽  
Proposed Model ◽  
Ca Model ◽  
Complex Formations

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.

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