The Experts below are selected from a list of 102 Experts worldwide ranked by ideXlab platform

Hannah Daly - One of the best experts on this subject based on the ideXlab platform.

  • incorporating travel behaviour and travel time into times energy system models
    Applied Energy, 2014
    Co-Authors: Hannah Daly, Alessandro Chiodi, Maurizio Gargiulo, Kalai Ramea, Brian Ó Gallachóir
    Abstract:

    Achieving ambitious climate change mitigation targets clearly requires a focus on transport that should include changes in travel behaviour in addition to increased vehicle efficiency and low-carbon fuels. Most available energy/economy/environment/engineering (E4) modelling tools focus however on technology and fuel switching and tend to poorly incorporate mitigation options from travel behaviour, and in particular, switching between modes is not an option. This paper describes a novel methodology for incorporating competition between private cars, buses and trains in a least-cost linear optimisation E4 model, called TIMES. This is achieved by imposing a constraint on overall travel time in the system, which represents the empirically observed fixed travel time budget (TTB) of individuals, and introducing a cost for Infrastructural Investments (travel time investment, TTI), which reduces the travel time of public transport. Two case studies from California and Ireland are developed using a simple TIMES model, and results are generated to 2030 for a reference scenario, an Investments scenario and a CO2 emissions reduction scenario. The results show that with no travel time constraint, the model chooses public transport exclusively. With a travel time constraint, mode choice is determined by income and investment cost assumptions, and the level of CO2 constraint, with greater levels of public transport in the mitigation scenario. At low travel investment cost, new rail is introduced for short distances and increased bus capacity for longer distances. At higher investment costs rail is increasingly chosen for long distances also.

Lukas Kornher - One of the best experts on this subject based on the ideXlab platform.

  • how much do Infrastructural Investments mitigate impacts of seasonal shocks on food security
    Social Science Research Network, 2019
    Co-Authors: Henry Kankwamba, Lukas Kornher
    Abstract:

    Ending extreme hunger requires the interaction of both household and community level Infrastructural Investments. When communities and households are capital infrastructure constrained, the effects of extreme events such as droughts can fetter consumption growth and food security. This paper, assesses the impact of seasonal weather shocks on food security conditional on access to public physical infrastructure. The study uses fixed effects regression techniques on representative Malawian panel data collected between 2010 and 2016. The study uses three key indicators of food security namely food consumption expenditure shares, the Berry Index of dietary variety, and the Shannon Entropy Index. To measure idiosyncratic and covariate shocks, self-reported survey data and high-resolution station based standardized precipitation – evapotranspiration index were used. To measure infrastructure, survey data, triangulated with remote sensed night time lights, were used to construct an infrastructure index in a logistic regression framework. Results show that assuming minimal infrastructure a standard deviation deficit in the one to three-month interval drought reduces consumption by 26%. Assuming normal historical weather conditions, infrastructure improves economic access to food by 15%. Thus, conditional on infrastructure, the impacts of extreme weather events on food security are reduced by 54%.

  • household shocks Infrastructural Investments food and nutrition security linkages in malawi
    93rd Annual Conference April 15-17 2019 Warwick University Coventry UK, 2019
    Co-Authors: Henry Kankwamba, Lukas Kornher
    Abstract:

    Ending extreme hunger requires interaction of both household and community level Infrastructural Investments. When communities and households are capital infrastructure constrained, effects of extreme events such as droughts can fetter consumption growth and food security. This paper assesses the impact of household shocks on daily per capita food consumption in Malawi. Secondly, the study assesses the impact of community level public Infrastructural investment on household food security. The study uses fixed effects regression combined with propensity score matching techniques on a Malawian panel data collected between 2010 and 2016. The study uses three indicators for food security namely food consumption expenditure, the Berry Index of dietary variety and number of days a household went without food. To measure idiosyncratic and covariate shocks, self-reported survey and high-resolution weather station-based data used. To measure infrastructure, survey data, triangulated with remote sensed night time lights, were used to construct an infrastructure index. Results show that while a standard deviation deficit in the one to three-month interval drought reduces consumption by over 80%, access to infrastructure increased consumption by a factor of two during shocks.

Brian Ó Gallachóir - One of the best experts on this subject based on the ideXlab platform.

  • incorporating travel behaviour and travel time into times energy system models
    Applied Energy, 2014
    Co-Authors: Hannah Daly, Alessandro Chiodi, Maurizio Gargiulo, Kalai Ramea, Brian Ó Gallachóir
    Abstract:

    Achieving ambitious climate change mitigation targets clearly requires a focus on transport that should include changes in travel behaviour in addition to increased vehicle efficiency and low-carbon fuels. Most available energy/economy/environment/engineering (E4) modelling tools focus however on technology and fuel switching and tend to poorly incorporate mitigation options from travel behaviour, and in particular, switching between modes is not an option. This paper describes a novel methodology for incorporating competition between private cars, buses and trains in a least-cost linear optimisation E4 model, called TIMES. This is achieved by imposing a constraint on overall travel time in the system, which represents the empirically observed fixed travel time budget (TTB) of individuals, and introducing a cost for Infrastructural Investments (travel time investment, TTI), which reduces the travel time of public transport. Two case studies from California and Ireland are developed using a simple TIMES model, and results are generated to 2030 for a reference scenario, an Investments scenario and a CO2 emissions reduction scenario. The results show that with no travel time constraint, the model chooses public transport exclusively. With a travel time constraint, mode choice is determined by income and investment cost assumptions, and the level of CO2 constraint, with greater levels of public transport in the mitigation scenario. At low travel investment cost, new rail is introduced for short distances and increased bus capacity for longer distances. At higher investment costs rail is increasingly chosen for long distances also.

Henry Kankwamba - One of the best experts on this subject based on the ideXlab platform.

  • how much do Infrastructural Investments mitigate impacts of seasonal shocks on food security
    Social Science Research Network, 2019
    Co-Authors: Henry Kankwamba, Lukas Kornher
    Abstract:

    Ending extreme hunger requires the interaction of both household and community level Infrastructural Investments. When communities and households are capital infrastructure constrained, the effects of extreme events such as droughts can fetter consumption growth and food security. This paper, assesses the impact of seasonal weather shocks on food security conditional on access to public physical infrastructure. The study uses fixed effects regression techniques on representative Malawian panel data collected between 2010 and 2016. The study uses three key indicators of food security namely food consumption expenditure shares, the Berry Index of dietary variety, and the Shannon Entropy Index. To measure idiosyncratic and covariate shocks, self-reported survey data and high-resolution station based standardized precipitation – evapotranspiration index were used. To measure infrastructure, survey data, triangulated with remote sensed night time lights, were used to construct an infrastructure index in a logistic regression framework. Results show that assuming minimal infrastructure a standard deviation deficit in the one to three-month interval drought reduces consumption by 26%. Assuming normal historical weather conditions, infrastructure improves economic access to food by 15%. Thus, conditional on infrastructure, the impacts of extreme weather events on food security are reduced by 54%.

  • household shocks Infrastructural Investments food and nutrition security linkages in malawi
    93rd Annual Conference April 15-17 2019 Warwick University Coventry UK, 2019
    Co-Authors: Henry Kankwamba, Lukas Kornher
    Abstract:

    Ending extreme hunger requires interaction of both household and community level Infrastructural Investments. When communities and households are capital infrastructure constrained, effects of extreme events such as droughts can fetter consumption growth and food security. This paper assesses the impact of household shocks on daily per capita food consumption in Malawi. Secondly, the study assesses the impact of community level public Infrastructural investment on household food security. The study uses fixed effects regression combined with propensity score matching techniques on a Malawian panel data collected between 2010 and 2016. The study uses three indicators for food security namely food consumption expenditure, the Berry Index of dietary variety and number of days a household went without food. To measure idiosyncratic and covariate shocks, self-reported survey and high-resolution weather station-based data used. To measure infrastructure, survey data, triangulated with remote sensed night time lights, were used to construct an infrastructure index. Results show that while a standard deviation deficit in the one to three-month interval drought reduces consumption by over 80%, access to infrastructure increased consumption by a factor of two during shocks.

Joonseok Yang - One of the best experts on this subject based on the ideXlab platform.

  • policy reform and the problem of private investment evidence from the power sector
    Journal of Policy Analysis and Management, 2017
    Co-Authors: Johannes Urpelainen, Joonseok Yang
    Abstract:

    Development economists frequently emphasize the importance of good infrastructure for economic growth. Can governments attract private capital in Infrastructural Investments through policy reform? We address this question by showing that, in the case of electricity generation, a simple legislation enabling independent power production increases private investment in electricity generation by more than an order of magnitude. Contrary to the conventional wisdom on the importance of constraints on executive power for credible commitment, we find that such constraints neither draw private capital nor condition the effectiveness of policy reform. We also find that both domestic and foreign investment increase with IPP reform. Evidence for these claims comes from an instrumental variable analysis of power sector reforms and private electricity generation in all developing countries for the years 1982 to 2008. Simple and politically uncontroversial policies can generate positive results in developing countries.