Reviewing the use of Geographic Information System (GIS) to measure Sustainable Urban Transport performance

Authors

  • Puji Adiatna Nadi King Abdulaziz University, Department of Urban and Regional Planning Faculty of Environmental Design, Jeddah, Saudi Arabia
  • AbdulKader Murad King Abdulaziz University, Department of Urban and Regional Planning Faculty of Environmental Design, Jeddah, Saudi Arabia

DOI:

https://doi.org/10.24273/jgeet.2017.2.2.345

Keywords:

Sutainable Urban Transport, GIS, Performance

Abstract

The purpose of this paper is to show how Geographical Information Systems (GIS) used to measure the performance of Urban Transport Sustainability. The first, this paper discusses about understanding about transport performance and how to measure it. The second, explore about sustainability in urban transport. The third, defines GIS and its possible uses in the sustainable urban transport performance. The relevant GIS functions have also been explained. The GIS models are explored to assist urban transport planner to measure sustainability in urban transport.

Downloads

Download data is not yet available.

References

Abosuliman, S.S. et al., 2011. The Conceptul Design of Monorail System in Jeddah City, Saudi Arabia.

Abreha, D.A., 2007. Analysing Public Transport Performance Using Efficiency Measures and Spatial Analysis; the case of Addis Ababa, Ethiopia. International Institute for Geo-information Science and Earth Observation.

Al-Ali, M.M., 2016. Applicability of GIS tools in assessing performance of the transportation systems in urban areas. World Journal of Science, Technology and Sustainable Development, pp.120–127.

Aljoufie, M., 2016a. Development of a GIS Based Public Transport Composite Social Need Index in Jeddah. Journal of Geographic Information System, 8(August), pp.470–479. Available at: http://www.scirp.org/journal/jgis.

Aljoufie, M., 2016b. Exploring the Determinants of Public Transport System Planning in Car- dependent Cities car-dependent cities. Procedia - Social and Behavioral Sciences, (October), pp.535 – 544.

Aljoufie, M., 2014. Toward integrated land use and transport planning in fast-growing cities : The case of Jeddah , Saudi Arabia. Habitat International, 41(January 2014), pp.205–215.

Aljoufie, M. & Tiwari, A., 2016. Measuring Intra-City Eco-Efficiency Variations of Urban Infrastructures in Jeddah. American journal of environmental sciences, (October).

Alshuwaikhat, H.M. & Aina, Y.A., 2006. GIS-based urban sustainability assessment : The case of Dammam city , Saudi Arabia. Local Environment, 11(October), pp.141–161. Available at: http://dx.doi.org/10.108013549830600558432.

Antunes, P. & Santos, R., 2001. The application of Geographical Information Systems to determine environmental impact significance. Environmental Impact Assessment Review, 21, pp.511–535.

Arampatzis, G. et al., 2004. A GIS-based decision support system for planning urban transportation policies. European Journal of Operational Research, 152(2), pp.465–475.

Armstrong, J.M. & Khan, A.M., 2004. Modelling urban transportation emissions: Role of GIS. Computers, Environment and Urban Systems, 28(4), pp.421–433.

Black, J.A., Paez, ; A & Suthanaya, P.A., 2002. Sustainable Urban Transportation: Performance Indicators and Some Analytical Approaches. Journal Of Urban Planning And Development, 128(4), pp.733–94534.

Brown, A.L. & Affum, J.K., 2002. A GIS-based environmental modelling system for transport planners. Pergamon, 26, pp.577–590. Available at: http://ac.els-cdn.com/S0198971501000163/1-s2.0-S0198971501000163-main.pdf?_tid=d3563906-0e28-11e6-90ea-00000aacb35f&acdnat= 1461948098_cc844e51c0b7e9478f11395493278527.

Chapleau, R. & Morency, C., 2005. Dynamic spatial analysis of urban travel survey data using GIS. 25th Annual ESRI International User Conference, pp.1–14. Available at: http://www.researchgate.net/ publication/228748074_Dynamic_spatial_analysis_of_urban_travel_survey_data_using_GIS/file/32bfe50dda6d7873e8.pdf.

Chen, S. et al., 2011. Multi-scale and multi-modal GIS-T data model. Journal of Transport Geography, 19(1), pp.147–161. Available at: http://dx.doi.org/ 10.1016/j.jtrangeo.2009.09.006.

Dalumpines, R., 2008. Using RS and GIS in Developing Indicators to Support Urban Transport Ecological Footprint Analysis : The Case of Ahmedabad City , India.

Fedra, K., 1999. Urban environmental management: Monitoring, GIS, and modeling. Computers, Environment and Urban Systems, 23(6), pp.443–457.

Ford, A.C. et al., 2015. Transport Accessibility Analysis Using GIS : Assessing Sustainable Transport in London. Geo-Information, 4, pp.124–149. Available at: www.mdpi.com/journal/ijgi/.

Gharineiat, Z. & Khalfan, M., 2011. Using the Geographic Information System ( GIS ) in the Sustainable Transportation. International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, 5(11), pp.1425–1431.

Gualtieri, G. & Tartaglia, M., 1998. Predicting urban traffic air pollution: A gis framework. Transportation Research Part D: Transport and Environment, 3(5), pp.329–336.

Gutiérrez, J., Condeço-melhorado, A. & Carlos, J., 2010. Using accessibility indicators and GIS to assess spatial spillovers of transport infrastructure investment. Journal of Transport Geography, 18(1), pp.141–152. Available at: http://dx.doi.org/ 10.1016/j.jtrangeo.2008.12.003.

Gutierrez, J., Monzon, A. & Pinero, J.M., 1998. Accessibility , network efficiency , and transport infrastructure planning. Environment and Planning A, 30, pp.1337–1350.

Li, B. et al., 2002. A GIS based road traffic noise prediction model. Applied Acoustics, 63(6), pp.679–691.

Lin, M. Der & Lin, Y.C., 2002. The application of GIS to air quality analysis in Taichung City, Taiwan, ROC. Environmental Modelling and Software, 17(1), pp.11–19.

Lopes, S.B. et al., 2014. GIS-Based Analytical Tools for Transport Planning :Spatial Regression Models for Transportation Demand Forecast. ISPRS International Journal of Geo-Information, 3, pp.565–583.

Machado, C. et al., 2015. Characterization of Black Spot Zones for Vulnerable Road Users in São Paulo (Brazil) and Rome (Italy). ISPRS International Journal of Geo-Information, 4(2), pp.858–882. Available at: http://www.mdpi.com/2220-9964/4/2/858/.

Mavoa, S. et al., 2012. GIS based destination accessibility via public transit and walking in Auckland , New Zealand. Journal of Transport Geography, 20(1), pp.15–22. Available at: http://dx.doi.org/10.1016j.jtrangeo.2011.10.001.

Miller, H.J. & Storm, J.D., 1996. Geographic information system design for network equilibrium-based travel demand models. Transportation Research Part C: Emerging Technologies, 4(6), pp.373–389.

Murad, A., 2014. Using geographical information systems for defining the accessibility to health care facilities in Jeddah City , Saudi Arabia. Geospatial Health, 8(3)(October 2016), pp.S661–S669.

Murad, A.A., 2011. Creating a Geographical Information Systems-based Spatial Profile for Exploring Health Services Supply and Demand. American Journal of Applied Sciences 8, 8(6), pp.644–651.

Murad, A.A., 2004. Creating a GIS application for local health care planning in Saudi Arabia Creating a GIS application for local health care planning in Saudi Arabia. International Journal of Environmental Health Research, 14(3)(October), pp.185 – 199.

Murad, A.A., 2003. Creating a GIS application for retail centers in Jeddah city. International Journal of Applied Earth Observation and Geoinformation, 4(October 2016), pp.329–338.

Murad, A.A., 2008. Defining health catchment areas in Jeddah city , Saudi Arabia : an example demonstrating the utility of geographi- cal information systems. Geospatial Health, 2(2), pp.151–160.

Murad, A.A., 2014. Using geographical information systems for defining the accessibility to health care facilities in Jeddah City , Saudi Arabia. Geospatial Health, 8(3), pp.S661–S669.

Murad, A.A., 2005. Using GIS for Planning Public General Hospitals at Jeddah City. Environmental Design Science, 3(October), pp.3–22.

O’Sullivan, D., Morrison, A. & Shearer, J., 2000. Using desktop GIS for the investigation of accessibility by public transport: an isochrone approach. International Journal of Geographical Information Science, 14(1), pp.85–104.

Paudel, K.P. et al., 2009. Geographic information systems ( GIS ) based model of dairy manure transportation and application with environmental quality consideration. Waste Management, 29(5), pp.1634–1643. Available at: http://dx.doi.org/10.1016/ j.wasman.2008.11.028.

Shekhar, S. & Xiong, H. eds., 2008. Encyclopedia of GIS, New York: Springer.

Thill, J.C., 2000. Geographic information systems for transportation in perspective. Transportation Research Part C: Emerging Technologies, 8(1), pp.3–12.

Valdes, C., Monzon, A. & Benitez, F.G., 2016. Sustainable urban transportation strategies: Searching for synergies. KSCE Journal of Civil Engineering, 20(3), pp.1066–1075.

Wang, X., 2005. Integrating GIS , simulation models , and visualization in traffic impact analysis. , 29, pp.471–496.

Yigitcanlar, T. et al., 2010. A GIS-based land use and public transport accessibility indexing model A GIS-based land use and public transport accessibility indexing model. Australian Planner, 3682(December).

Yigitcanlar, T. & Dur, F., 2010. Developing a sustainability assessment model: The sustainable infrastructure, Land-use, environment and transport model. Sustainability, 2(1), pp.321–340.

Zhang, Y. et al., 2016. A GIS Based Bicycle Level of Service Route Model. In DDSS.

Downloads

Published

2017-06-01