Calculating minimum energy urban layouts with mathematical programming and Monte Carlo analysis techniques

Keirstead, James; Shah, Nilay

doi:10.1016/j.compenvurbsys.2010.12.005

Cited by 30 publications

(14 citation statements)

References 34 publications

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“…The second body of literature focuses on the impact of changing urban form on transport mobility in an intra-urban context, in terms of demand aspect (distance or time traveled), or mode shares (choice of transport mode), and is, thus, responsible for a large proportion of the consumed energy and emissions, which covers many developed cities, i.e., New York [28], Washington DC [29], Hamilton [30], Dortmund [16], Montreal [31], Flanders [15], Wallonia [32], Hong Kong [1,8,33], and Seoul [34]. Moreover, significant efforts have been made to explore the relationship between urban form and CO 2 emissions from commuting, due to the availability of commuting data, especially based on the concept of "excess commuting" [30,33,35].…”

Section: Introductionmentioning

confidence: 99%

Changing Urban Form and Transport CO2 Emissions: An Empirical Analysis of Beijing, China

et al. 2014

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Decentralization development and changing urban form will increase the mobility and contribute to global CO 2 emissions, in particular for developing countries which are experiencing rapid economic growth and urban expansion. In this paper, an integrated analytical framework, which can quantify the impact of changing urban form on commuting CO 2 emissions, is presented. This framework simultaneously considers two emission dependent factors, commuting demand and modal share based on the concept of excess commuting and accessibility analysis, and ensures its applicability to other cities where the detailed individual travel data is not available. A case study of Beijing from 2000 to 2009 is used to illustrate this framework. The findings suggest that changing urban form in Beijing did have a significant impact on commuting CO 2 emission increase. Changing to a more decentralized urban form in Beijing had a larger impact on commuting distance and increased usage of cars, which resulted in a significant rise in CO 2 emissions. There is a larger space and an urgent need for commuting CO 2 emission reduction, in 2009 in Beijing, by planning and by strategic measures in order to promote sustainable transport.

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Section: Introductionmentioning

confidence: 99%

Changing Urban Form and Transport CO2 Emissions: An Empirical Analysis of Beijing, China

et al. 2014

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“…Regression, optimization, aggregation and disaggregation are the approaches that have been practically used in finding answers for policy questions on city expansion, people's choices on living and working, mode of transportation in urban travel. In particular optimization modeling is a useful method for defining minimum energy benchmarks (Keirstead & Shah, 2011).…”

Section: Calculating Minimum Energy Urban Layouts With Mathematical Pmentioning

confidence: 99%

A model to evaluate energy efficient spatial structure for transportation via spatially balancing the job - house ratio - The case of Sri Lanka

Senevirathne

Silva

2018

Bhumi, Planning Res. J.

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The trend of haphazard land use practices has caused for a massive cost and a congestion in major transport corridors. In this case, a proper combination of land use distribution will be able to optimize the Vehicle Miles Travelled (VMT) to reduce the transportation-related energy consumption and city congestion. One of the significant approaches of integrating transport and urban development is developing an optimized ratio for administrative level job-house combinations. The objective of this research is to develop a method to identify a job-house ratio for each analysis zones where the road congestion will be optimized. The gravity model is used to perform the trip distribution and it is assigned to the road network using the graph theory. The main assumption taken in the study is that the trip generation by a group of population in a particular area is considered as work based trips. The result of the method for Colombo district indicated that the job-house ratio varies from 0.1 to 9.2 resulting an average trip length of 23 km between houses to work locations. However, the method suggested a minimum and maximum value of 0.5 and 4 which reduced the VMT from 46% and average fuel consumption by 22%.

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“…Prova disso é que o MMC tem sido uma ferramenta essencial em diversas áreas da ciência, dentre elas: economia [6]; medicina [7]; medicina nuclear [8]; biologia [9]; ecologia [10,11]; física do clima [12]; climatologia [13,14]; engenharias [15,16]; modelagem de colisões veiculares [17][18][19][20].…”

Section: Método De Monte Carlounclassified

Análise probabilística de colisões veiculares pelo método de Monte Carlo

Carvalho¹,

Armigliato²,

Almeida³

et al. 2016

Rev. Bras. Crimin.

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ResumoEste trabalho apresenta um modelo para análise probabilística de perícias de colisão de veículos automotores, apresentando um modelo computacional flexível para avaliação da confiabilidade por simulação Monte Carlo. Os procedimentos desenvolvidos buscaram a representação estatística dos parâmetros ambientais e psicomotores, tais como coeficientes de atrito e ritmo de Reação, em uma simulação, com 10.000 iterações, da confiabilidade em um modelo bidimensional aplicado a um estudo de caso de colisão frontal envolvendo dois veículos de passeio, obtendo intervalos unilaterais e bilaterais para as variáveis estudadas. AbstractThis paper presents a model for probabilistic analysis skills collision of motor vehicles, featuring a flexible computational model for the evaluation of reliability by Monte Carlo simulation. The developed procedures sought statistical representation of environmental and psychomotor parameters such as friction coefficient and reaction rate in a simulation with 10,000 iterations, reliability in a twodimensional model applied to a frontal collision case study involving two vehicles, obtaining unilateral and bilateral ranges for the variables studied.

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Calculating minimum energy urban layouts with mathematical programming and Monte Carlo analysis techniques

Cited by 30 publications

References 34 publications

Changing Urban Form and Transport CO2 Emissions: An Empirical Analysis of Beijing, China

Changing Urban Form and Transport CO2 Emissions: An Empirical Analysis of Beijing, China

A model to evaluate energy efficient spatial structure for transportation via spatially balancing the job - house ratio - The case of Sri Lanka

Análise probabilística de colisões veiculares pelo método de Monte Carlo

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