Understanding Affordability to Improve Resiliency: Linking Housing Costs, Transport Costs and Foreclosures

2013 ◽  
Keyword(s):  
Transport Costs ◽  
Housing Costs

Do rising rents lead to longer commutes? A gravity model of commuting flows in Ireland

Urban Studies ◽  
2020 ◽  
pp. 004209802091069 ◽  
Author(s):  
Achim Ahrens ◽  
Sean Lyons
Keyword(s):  
Gravity Model ◽  
Location Decisions ◽  
Residential Areas ◽  
Transport Costs ◽  
Urban Centre ◽  
Trade Off ◽  
Commuting Flows ◽  
Property Prices ◽  
Housing Costs ◽  
City Model

The classical monocentric city model suggests that property prices decrease and transport costs rise with distance to the urban centre, implying that employees face a trade-off between long commutes and high housing costs when making location decisions. Accordingly, some commuters might be forced to take on longer commutes due to rising rents in central locations. In this study, we investigate empirically whether the rental differential between employment centres and residential areas predicts changes in average commuting times. To this end, we consider a gravity model of commuting flows for Ireland over 2011–2016. We present results for Ireland and the metropolitan area of Dublin, which constitutes the largest commuting region in Ireland. The results imply that a 10% rise in rents in employment centres is associated with an up to 0.6 minute rise in one-way daily average commuting times nationally (about 2.2% of the average commute duration).

Determinants of Brazilian Exports by Levels of Technological Intensity: A Gravity Model Analysis Using the PPML Estimator

2019 ◽  
Vol 10 (9) ◽  
pp. 861-879
Author(s):  
Edson Roberto Vieira ◽  
◽  
Daniel Henrique Alves Reis ◽  
Keyword(s):  
International Market ◽  
Positive Influence ◽  
Gravity Models ◽  
Transport Costs ◽  
Consumer Market ◽  
Technology Products ◽  
The Us ◽  
Trading Partners ◽  
Negative Impacts ◽  
Technological Intensity

The objective of this study is to analyze the determinants of Brazilian exports by levels of technological intensity in the period 2000-2015. Gravity models were estimated for total of the exports and for each type of exports by levels of technological intensity, using the PPML-estimator. The study indicates that there is a process of concentration of Brazilian exports in low technology and medium-low technology products, at the same period in which China's share of total Brazilian shipments abroad grew. Estimates of empirical gravity models have shown that the income and size of the consumer market of Brazil’s trading partners seem to have the greatest positive influence on the Brazilian exports. Indications of this study are that the Brazil should continue to diversify its trading partners to minimize the impacts of a possible reduction of the economic growth of large trading partners (such as China and the US) on its exports and increase its exports of products with greater technological intensity. The results also highlight the need for Brazil to make greater efforts to increase its competitiveness in the international market to reduce the negative impacts of transport costs on the final prices of products exported by the country.

Case Study: Maximizing Business Performance by Optimizing Supply Chain Of LNG-C Distribution of 9 Gas Power Plants with A Capacity of 780 MW in Eastern Indonesia

2020 ◽  
Author(s):  
A. D. Wara
Keyword(s):  
Supply Chain ◽  
Business Performance ◽  
Power Plants ◽  
Total Power ◽  
First Year ◽  
Eastern Region ◽  
Transport Costs ◽  
Logistics Optimization ◽  
The Government ◽  
Milk Run

The Government of Indonesia plans to build 9 gas power plants in South Kalimantan, South Sulawesi and Southeast Nusa Tenggara with a total power capacity of 780 MW with an estimated actual gas demand of 46.56 MMSCFD which are planned to be supplied by the Bontang terminal, DS-LNG, Masela LNG, and Tangguh LNG. LNG-C logistics optimization is needed to get the best transportation scenario regarding the eastern region which consists of scattered islands and inadequate infrastructure. This study analyzes and evaluates the best-case scenarios by comparing the time and cost variables. The process of planning the supply chain starts from determining the upstream-downstream distribution scheme and then calculates the shipping distance which results in the determination of the quantity, capacity and shipping of the LNG-C. Based on the analysis and calculation of the logistics, it is concluded that there are 3 divisions of clusters of Kalimantan-Sulawesi, NTT and NTB having estimated needs in a row of 18.06, 18.8, and 9.7 MMSCFD with the Milk-Run transportation method. Logistics optimization results show that scenario 1 has an efficiency value of 87% with an LNG-C transport capacity of 0.35 MMSCF, a roundtrip cruise time of 8.6 days and the number of shipments is 36 / year. The detailed analysis of costs in scenario A is 1-2 USD / MMBTU for the milk and run transportation method, 1.49-1.73 USD / MBTU for LNG-C transport costs, and regasification costs which are 1.0-3.7 USD / MMBTU. Based on the above results it can be calculated that the price of gas in the first year of implementation was 13.4 USD / MMBTU, so the total value below this supply chain was Rp.8,812,876,800.00. Therefore, this idea was created as a solution for the initial steps for the utilization of the domestic natural gas distribution

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