TITIM GIS-tool: A GIS-based decision support system for measuring the territorial impact of transport infrastructures

Ortega, Emilio; Otero, Isabel Diz; Mancebo, Santiago

doi:10.1016/j.eswa.2014.05.028

Cited by 31 publications

(15 citation statements)

References 47 publications

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“…GIS technology is a useful tool for analyzing spatial interaction between economic entities. Ortega [26] applies GIS for analyzing impact of transportation infrastructure at different geographic levels varying from local to regional extent. The analytical approach is extended in this paper to explore the relationship of port accessibility with economic indicators like GDP and population concentrations.…”

Section: Analytical Framework In Gismentioning

confidence: 99%

GIS Based Analysis of Interaction between Port Accessibility and Economy in Saudi Arabia

Hamdi¹

2018

JKAU Earth Sci

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Land transportation networks play key role in economic activities by providing access to industries and commercial centers. As integral part of transportation system ports provide essential interchange between sea and land communication to facilitate interaction with global economic hubs. Region’s accessibility to port usually determines its production and growth potential. This paper provides quantitative analysis of roadway based port accessibility to different regions in Saudi Arabia using GIS framework. It also provides analytical basis for comparing relative geographical implications of the ports in the context of regional GDP and population concentration. Using geoprocessing tools like Network Analyst and Spatial Analyst in ArcGIS framework, accessibility contours are assessed. Then spatial indicators are developed to measure interaction between accessibility and economic parameters. Using these indicators, the regions lacking in adequate port accessibility are identified. Further analysis reveals that investment to improve accessibility of these regions may provide beneficial effect on their economic growth. The proposed procedure may be applied in regional planning and economic feasibility studies.

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Section: Analytical Framework In Gismentioning

confidence: 99%

GIS Based Analysis of Interaction between Port Accessibility and Economy in Saudi Arabia

Hamdi¹

2018

JKAU Earth Sci

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“…También sería de interés que sobre los resultados de emisiones por tramo de la RCE obtenidos del presente análisis, se obtuviese un índice del nivel de eficiencia de emisiones por tramo (similar al nivel de servicio por tramo) con el objetivo de medir la eficiencia de emisiones de los tramos dados un volumen de tráfico y diseño establecidos. Finalmente, otro aspecto a considerar sería la introducción de este procedimiento en un sistema de toma de decisiones para medir todos los impactos territoriales de la infraestructura del transporte por carretera (ORTEGA et al 2014) con el objetivo de incorporar los impactos de emisiones en la evaluación medioambiental (ARCE y GULLÓN, 2000;ARCE et al 2010).…”

Section: Descripción De Escenariosunclassified

Identificación de corredores prioritarios de carreteras para la aplicación de estrategias de reducción de emisiones GEI. Caso de España.

Sobrino

Cáceres²

2016

Libro De Actas CIT2016. XII Congreso De Ingeniería Del Transporte

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Andrés Monzón de CáceresCatedrático de Transporte, UPM RESUMEN Lograr un transporte bajo en carbono es crucial en la planificación y gestión del transporte por carretera. Existen diversas acciones para la reducción de emisiones del transporte por carretera: sobre la demanda, la tecnología del vehículo, la gestión del tráfico, etc. Pero, antes de realizar cualquier actuación, es necesario identificar cuáles son los puntos de la red que necesitan una acción prioritaria.Este trabajo describe un índice para la identificación de tramos y corredores prioritarios para hacer frente a los problemas de emisiones GEI. La herramienta HERA de evaluación del consumo de energía y emisiones del tráfico, es utilizada para estimar los parámetros del Índice Prioritario de Emisiones (IPE) y para evaluar diferentes estrategias de gestión y diseño de carreteras. El IPE identifica la prioridad de acción en un tramo o corredor en base a las emisiones totales del tráfico y a la alta intensidad de emisiones unitarias del tramo, es decir, la ineficiencia.La Red de Carreteras del Estado (2012) se toma como caso de estudio, y los resultados se muestran en mapas ayudados por un SIG. Se identifican siete corredores prioritarios, que representan el 25% de la red y contribuyen con el 52% de las emisiones GEI totales de la red en 2012. Los corredores más ineficientes corresponden a aquellos con una alta proporción de vehículos pesados, altas velocidades de vehículos ligeros y aquellos que presentan pendientes pronunciadas. Sobre los corredores prioritarios han sido aplicadas una serie de estrategias de reducción de emisiones. La estrategia más efectiva -aparte de la integración de varias estrategias-es la reducción de la velocidad de los vehículos ligeros. Una reducción de velocidad de -10km/h podría producir un 3,85% de ahorro anual de emisiones sobre dichos corredores, llegando a ahorrar 566 KtCO2eq anuales.

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“…As far as network studies are concerned, Xu et al analyse the statistical trend of network development in cities by deriving an exponential dependence on the activity [27] and Ortega et al propose to monitor the network development by means of GIS (Geographic Information Systems) technologies [28]. Additionally survey data might be also used to support infrastructural studies [29], exploring intelligent grid management solutions [30], to address the impact on power system operation, market and security policies for BEVs (Battery Electric Vehicle) [31e34] as well as their integration within renewable energy systems [35,36] and their use as flexible loads [37], contributing to the development of methods to enhance the stability of the electricity grid together with intelligent V2G (Vehicle-to-Grid) and G2V (Grid-to-Vehicle) energy management systems, (x 13 of the EC Proposal for Directive [22]).…”

Section: Introductionmentioning

confidence: 99%

Customer-driven design of the recharge infrastructure and Vehicle-to-Grid in urban areas: A large-scale application for electric vehicles deployment

Gennaro

Paffumi

Martini

2015

Energy

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a b s t r a c tThe large scale deployment of electric vehicles in urban environment will play a key-role over the next decades to reduce air-pollutants in densely populated areas, but it will also require the development of an adequate recharge infrastructure. The purpose of this paper is to demonstrate how driving patterns databases and data mining can be used to appropriately design this infrastructure. This application focuses on the Italian province of Firenze, involving about 12,000 conventional fuel vehicles monitored over one month, estimating a fleet share shift from conventional fuel vehicles to battery electric vehicles ranging from 10% to 57%, and a mileage share shift from 1.6% to 36.5%. The increase of electric energy demand from electric vehicles ranges from 0.7% to 18% of the total demand in the province, with a number of charging spots three-to-six times higher than the number of circulating electric vehicles. Additionally the results show that a Vehicle-to-Grid interaction strategy can contribute to reduce from 5% to 50% the average daily electric energy demand in specific locations. This paper provides a description of the developed model and focuses on the valuable potential of the proposed methodology to support future policies for designing alternative fuel infrastructure in urban areas.

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TITIM GIS-tool: A GIS-based decision support system for measuring the territorial impact of transport infrastructures

Cited by 31 publications

References 47 publications

GIS Based Analysis of Interaction between Port Accessibility and Economy in Saudi Arabia

GIS Based Analysis of Interaction between Port Accessibility and Economy in Saudi Arabia

Identificación de corredores prioritarios de carreteras para la aplicación de estrategias de reducción de emisiones GEI. Caso de España.

Customer-driven design of the recharge infrastructure and Vehicle-to-Grid in urban areas: A large-scale application for electric vehicles deployment

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