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Geo-ICT in Transportation Science

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Geospatial Technology and the Role of Location in Science

Part of the book series: GeoJournal Library ((GEJL,volume 96))

Abstract

Since geographical information systems (GIS) first appeared, transportation scientists found them to be a natural aid, at first for representing the spatial and later the temporal aspects of transportation networks and infrastructures. As GIS developed, so did their use in transportation science and they became essential not only for visualisation but also to facilitate and speed up data management, algorithmic operations and decision making. This paper analyses the contributions and influence of GIS in transport science on the basis of three frameworks: geodatabase, geomapping, and geomodelling, all of which highlight the importance of location.

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References

  • Adams, T. M., Koncz, N. A., and Vonderohe, A. P. V. (2001). NCHRP Report 460 – Guidelines for the Implementation of Multimodal Transportation Location Referencing Systems, National Academy Press, Washington, D.C.

    Google Scholar 

  • Ahmed, N., and Miller, H. J. (2007). Time-space transformations of geographic space for exploring, analyzing and visualizing transportation systems. Journal of Transport Geography, 15, 2–17

    Article  Google Scholar 

  • Alexander, S. M., and Waters, N. M. (2000). The effects of highway transportation corridors on wildlife: a case study of Banff National Park. Transportation Research Part C, 8, 307–320

    Article  Google Scholar 

  • Arampatzis, G., Kiranoudis, C. T., Scaloubacas, P., and Assimacopoulos, D. (2004). A GIS-based decision support system for planning urban transportation policies,. European Journal of Operational Research, 152, 465–475

    Article  Google Scholar 

  • Arentze, T. A., and Timmermans, H. J. P. (2000). A spatial decision support system for retail plan generation and impact assessment. Transportation Research Part C, 8, 361–380

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Bachman, W., Wayne, S., Hallmark, S., and Guensler, R. (2000). Modeling regional source emissions in a geographic information system framework. Transportation Research Part C, 8, 205–229

    Article  Google Scholar 

  • Ballis, A. (2006). Implementing the European Transport Information System. Transportation Research Record, 1957, 23–31

    Article  Google Scholar 

  • Bejleri, I., Roaza, R., McGilvary, P., and Thomas, A. (2006). Integrating Information Technology in Efficient Transportation Decision Making: Florida’s Environmental Screening Tool. Transportation Resarch Record, 1983, 15–23

    Article  Google Scholar 

  • Berglund, S. (2001). GIS in Transport Modeling. PhD Dissertation. Royal Institute of Technology of Stockholm, Sweden

    Google Scholar 

  • Blume, K., Lombard, M., Quayle, S., Worth, P., and Zegeer, J. (2005). Cost effective reporting of travel on local roads. Transportation Research Record, 1917, 1–10

    Article  Google Scholar 

  • Bricka, S., and Bhat, C. R. (2006). A Comparative Analysis of GPS-Based and Travel Survey-Based Data. (Paper presented at the Transportation Research Board 85th Annual Meeting, Washington)

    Google Scholar 

  • Brown, A. L., and Affum, J. K. (2002). A GIS-based environmental modelling system for transportation planners. Computers, Environment and Urban Systems, 26, 577–590

    Article  Google Scholar 

  • Byon, Y.-J., Abdulhai, B., and Shalaby, A. (2007, January). Impact of Sampling Rate of GPS-enabled Cell Phones on Mode Detection and GIS Map Matching Performance (Paper presented at the Transportation Research Board 86th Annual Meeting, Washington)

    Google Scholar 

  • Casas, I. (2003). Evaluating the importance of accessibility to congestion response using a GIS-based travel simulator. Journal of Geographical Systems, 5, 109–127

    Article  Google Scholar 

  • Cascetta, E. (2001). Transportation systems engineering: theory and methods. (Dordrecht: Kluwer Academic Publishers)

    Google Scholar 

  • Celsor, C., and Millard-Ball, A. (2007). Where does car-sharing work? Using GIS to assess market potential. (Paper presented at the Transportation Research Board 86th Annual Meeting, Washington)

    Google Scholar 

  • Chan, Y. (2005). Location, transport and land-use: modelling spatial-temporal information. (Berlin: Springer)

    Google Scholar 

  • Cheng, J., Bertolini, L., and le Clerq, F. (2007). Measuring Sustainable Accessibilità. (Paper presented at the Transportation Research Board 86th Annual Meeting, Washington)

    Google Scholar 

  • Choi, K., and Kim, T. J. (1996). A hybrid travel demand model with GIS and expert systems. Computers, Environment and Urban Systems, 20(4/5), 247–259

    Article  Google Scholar 

  • Choi, K., and Jang, W. (2000). Development of a transit network from a street map database with spatial analysis and dynamic segmentation. Transportation Research Part C, 8, 129–146

    Article  Google Scholar 

  • Chow, L. -F., Zhao, F., Li, M.-T., and Li, S.-C. (2005). Development and evaluation of Aggregate destination choice models for trip distribution in Florida. Transportation Research Record, 1931, 18–27

    Article  Google Scholar 

  • Church, R. L., and Cova, T. J., (2000). Mapping evacuation risk on transportation networks using a spatial optimization model. Transportation Research Part C, 8, 321–336

    Article  Google Scholar 

  • Claramunt, C., Jiang, B., and Bargiela, A. (2000). A new framework for the integration, analysis and visualisation of urban traffic data within geographic information systems. Transportation Research Part C, 8, 167–184

    Article  Google Scholar 

  • Curtin, K., Noronha, V., Goodchild, M. F., and Grisé, S. (2003). ArcGIS Transportation Data Model retrieved September 6, 2007, from http://www.dot.co.pima.az.us/gis/datamodels/unetrans_data_model_09.pdf

  • Darter, M. T., Lasky, T.A., Ravani, B. (2007, January). Transportation Asset Management and Visualization Using Semantic Models and Google Earth (Paper presented at the Transportation Research Board 86th Annual Meeting, Washington)

    Google Scholar 

  • Demirel, H. (2004). A dynamic multi-dimensional conceptual data model for transportation applications. ISPRS Journal of Photogrammetry and Remote Sensing, 58, 301–314.

    Article  Google Scholar 

  • INSPIRE Directive 2007/2/EC of the European Parliament and of the Council of 14 March 2007, establishing an Infrastructure for Spatial information in the European Community (INSPIRE). Official Journal of European Union.

    Google Scholar 

  • Dueker, K. J., and Butler, J. A. (2000). A geographic information system framework for transportation data sharing. Transportation Research Part C, 8, 13–36

    Article  Google Scholar 

  • Fall, P., Curtin, K. M., Goodchild, M. F., and Chuech, R. L. (1996). A non planar, lane-based navigable data model for ITS. (Paper presented at the Spatial Data Handling conference, Delft, The Netherlands)

    Google Scholar 

  • Fletcher, D. R. (2000). Geographic Information Systems for Transportation: A Look Forward, retrieved September 2007, 13, from http://onlinepubs.trb.org/onlinepubs/millennium/00047.pdf

  • Frank, W. C., Thill, J.-C., Batta, R. (2000). Spatial decision support system for hazardous material truck routing. Transportation Research Part C, 8, 337–359

    Article  Google Scholar 

  • Golledge, R. G., and Stimson, R. J. (1997). Spatial behavior: a geographic perspective. (New York: Guilford Press)

    Google Scholar 

  • Goodchild, M. F. (1998). Geographic information systems and disaggregate transportation modeling. Geographical Systems, 5(1–2), 19–44

    Google Scholar 

  • Goodchild, M. F. (2000). GIS and transportation: status and challenges. GeoInformatica, 4, 127–139

    Article  Google Scholar 

  • Goodchild, M., and Janelle, D. G. (2004). Spatially integrated social science. (Oxford: Oxford University Press)

    Google Scholar 

  • Haggett, P. (1965). Locational analysis in human geography. (London: Edward Arnold)

    Google Scholar 

  • Hall, R. W. (1995). The architecture of transportation systems. Transportation Research Part C, 3(3), 129–192

    Article  Google Scholar 

  • Hall, R. W. (2003). Transportation science. In Hall, R. W. (Ed.), Handbook of transportation science (pp. 1–4). International series in operations research and management science, 56. (Boston: Kluwer Academic Publishers)

    Google Scholar 

  • Hall, J.P., Robinson, R., and Paulis, M. A. (2005). Enterprisewide Spatial Data Integration of Legacy Systems for Asset Management: The Case of the Illinois Department of Transportation. Transportation Research Record, 1917, 11–17

    Article  Google Scholar 

  • Hodge, D. C. (1997). Accessibility-related issues. Journal of Transport Geography, 5(1), 33–34

    Article  Google Scholar 

  • Horner, M. W., and Downs, J. A. (2007). Testing a Flexible GIS-Based Network Flow Model for Routing Hurricane Disaster Relief Goods. (Paper presented at the Transportation Research Board 86th Annual Meeting, Washington)

    Google Scholar 

  • Huang, Y. -W., Jing, N., and Rundensteiner, E. A. (2000). Optimizing path query performance: graph clustering strategies. Transportation Research Part C, 8, 381–408

    Article  Google Scholar 

  • <ICSINSAUTHOR>ISO 14825</ICSINSAUTHOR> (2002). Intelligent Transport Systems – Geographic Data Files – Overall Data Specification. International Organization for Standardization

    Google Scholar 

  • Jang, S.-G., and Kim, T. J. (2007, January). Semantically Interoperable Transportation Data Model: Methodology and Application. (Paper presented at the Transportation Research Board 86th Annual Meeting, Washington)

    Google Scholar 

  • Kamal, T. A., Ferreira, J., and Wiggins, L. (1994). Using GIS tools to improve transit ridership on routes serving large employment centers: The Boston South End Medical Area case study. Computers, Environment and Urban Systems, 18(3), 205–231

    Article  Google Scholar 

  • Kwan, M.-P. (2000). Interactive visualisation of activity travel patterns using three-dimensional geographical information systems: a methodological exploration with large data sets. Transportation Research Part C, 8, 185–203

    Article  Google Scholar 

  • Kwan, M.-P., and Lee, J. (2005). Emergency response after 9/11: the potential of real-time 3D GIS for quick emergency response in micro-spatial environments. Computers, Environment and Urban Systems, 29, 93–113

    Article  Google Scholar 

  • Li, L., and Zhang, Y. (2007). A gis-based bayesian approach for identifying hazardous roadway segments for traffic crashes. (Paper presented at the Transportation Research Board 86th Annual Meeting, Washington)

    Google Scholar 

  • Mainguenaud, M. (2000). A query resolution engine to handle a path operator with multiple paths. Transportation Research Part C, 8, 109–127

    Article  Google Scholar 

  • McGowen, P., McNally, M. (2007, January). Evaluating the Potential To Predict Activity Types from GPS and GIS Data (Paper presented at the Transportation Research Board 86th Annual Meeting, Washington)

    Google Scholar 

  • Miller, H. J. (1991). Modeling accessibility using space-time prism concepts within geographical information systems. International Journal of Geographical Information Systems, 5, 287–301

    Article  Google Scholar 

  • Miller, H. J., and Wu, Y.-H. (2000). GIS software for measuring space-time accessibility in transportation planning and analysis. Geoinformatica, 4(2), 14–19

    Article  Google Scholar 

  • Miller, H. J., and Shaw, S-L. (2001). Geographic information systems for transportation: Principles and applications. (Oxford: Oxford University Press)

    Google Scholar 

  • Mintsis, G., Basbas, S., Papaioannou, P., Taxiltaris, C., and Tziavos, I. N. (2004). Application of GPS technology in the land transportation system. European Journal of Operational Research, 152, 399–409

    Article  Google Scholar 

  • Moudon, A. V., Kavage, S. E., Mabry, J. E., and Sohn, D. W. (2005). A transportation-efficient Land-use mapping index. Transportation Research Record, 1902, 134–144

    Article  Google Scholar 

  • National Cooperative Highway Research Program (NCHRP) Project 20–64. (2007). XML Schemas for Exchange of Transportation Data (TransXML), retrieved September 13, 2007, from www4.trb.org/trb/crp.nsf/All+Projects/NCHRP+20-64

    Google Scholar 

  • Nicholas, M. A., Handy S. L., and Sperling D. (2004). Using Geographic Information Systems to Evaluate Siting and Networks of Hydrogen Stations. Transportation Research Record, 1880, 126–134

    Article  Google Scholar 

  • Nijkamp, P., Borzacchiello, M. T., Torrieri, F., and Ciuffo, B. (2007). Sustainable urban land use and transportation planning: a decision support system for the Naples metropolitan area. International Journal of Sustainable Transportation, 1, 91–114.

    Article  Google Scholar 

  • Noronha, V., and Goodchild, M. F. (2000). Map accuracy and location expression in transportation – reality and prospects. Transportation Research Part C, 8, 53–69

    Article  Google Scholar 

  • Nyerges, T. L., Montejano, R., Oshiro, C., and Dasdwell, M. (1997). Group-based geographic information systems for transportation improvement site selection. Transportation Research Part C, 5(6), 349–369

    Article  Google Scholar 

  • Ogle, J., Randall, G., and Elango, V. (2005). Georgia’s commute Atlanta value pricing program: recruitment methods and travel diary response rates. Transportation Research Record, 1931, 28–37

    Article  Google Scholar 

  • Oktal (2006), Scaner II Users’ guide, Paris, France.

    Google Scholar 

  • Ozbay, K., and Mukherjee, S. (2000). Web-Based Expert Geographical Information System for Advanced Transportation Management Systems. Transportation Research Record, 1719, 200–208

    Article  Google Scholar 

  • Ozbay, K., Yanmaz-Tuzel, O., Mudigonda, S., and Bartin, B. (2007). Evaluating Highway Capacity Investments using a GIS-based tool – Trip-based Full Marginal Cost Approach. (Paper presented at the Transportation Research Board 86th Annual Meeting, Washington)

    Google Scholar 

  • Pack, M. L., Weisberg, P., and Bista, S. (2005). Four-Dimensional Interactive Visualization System for Transportation Management and Traveler Information. Transportation Research Record, 1937, 152–158

    Article  Google Scholar 

  • Pack, M. L., Weisberg, P., and Bista, S. (2007). Wide-area, Four-Dimensional, Real-time, Interactive Transportation System Visualization. (Paper presented at the Transportation Research Board 86th Annual Meeting, Washington).

    Google Scholar 

  • Peng, Z.-R., and Huang, R. (2000). Design and development of interactive trip planning for web-based transit information systems. Transportation Research Part C, 8, 409–425

    Article  Google Scholar 

  • Prevost, D. L. (2006). Geography of Public Participation: Using Geographic Information Systems to Evaluate Public Outreach Program of Transportation Planning Studies. Transportation Research Record, 1981, 84–91

    Article  Google Scholar 

  • Quddus, M., Ochieng, W. Y., and Noland, R. B. (2007, January). Current Map Matching Algorithms for Transport Applications: State-of-the art and Future Research Directions. (Paper presented at the Transportation Research Board 86th Annual Meeting, Washington)

    Google Scholar 

  • Quiroga, C. A. (2000). Performance measures and data requirements for congestion management systems. Transportation Research Part C, 8, 287–306

    Article  Google Scholar 

  • Quiroga, C. A., Pina, R., Hamad, K., Kraus, E. (2006). Intelligent Transportation System Spatial Data Modeling. Transportation Research Record, 1972, 94–104.

    Article  Google Scholar 

  • Scarponcini, P. (2007, January). Methodology for the Selection and Development of TransXML Schemas. (Paper presented at the Transportation Research Board 86th Annual Meeting, Washington)

    Google Scholar 

  • Schlossberg, M. (2006). From TIGER to Audit Instruments: Measuring Neighborhood Walkability with Street Data Based on Geographic Information Systems. Transportation Research Record, 1982, 48–56

    Article  Google Scholar 

  • Shaw, S. L., and Xin, X. (2003). Integrated land use and transportation interaction: a temporal GIS exploratory data analysis approach. Journal of Transport Geography, 11, 103–115

    Article  Google Scholar 

  • Shaw, S.-L., and Rodrigue, J.-P. (2006). Geographic Information Systems for transportation (GIS-T). In Rodrigue, J.-P., Comtois, C., and Slack, B. (Eds.), The geography of transport systems. (London. Routledge)

    Google Scholar 

  • Shelton, D., Haufshild, D., Pedley, J., and Spillar R. (2004). Using Geographic Information Systems to Inform Bus Maintenance Base Location Decisions: Sketch-Level Methodology for Estimating Bus Deadhead Costs. Transportation Research Record, 1887, 92–98

    Article  Google Scholar 

  • Southworth, F., and Peterson, B. E. (2000). Intermodal and international freight network modeling. Transportation Research Part C, 8, 147–166

    Article  Google Scholar 

  • Spring, G. (2004). Application of GIS in Transportation. In Kutz, M. (Ed.), Handbook of transportation engineering. (New York: McGraw-Hill)

    Google Scholar 

  • Sutton, J. C. (1996). Role of Geographic Information Systems in Regional Transportation Planning. Transportation Research Record, 1518, 25–31

    Article  Google Scholar 

  • Sutton, J. C., and Wyman, M. M. (2000). Dynamic location: an iconic model to synchronize temporal and spatial transportation data. Transportation Research Part C, 8, 37–52

    Article  Google Scholar 

  • Tang, K. X., and Waters, N. M. (2005). The internet, GIS and public participation in transportation planning. Progress in Planning, 64, 7–62

    Article  Google Scholar 

  • Taylor, M. A. P., Wooley, J. W., and Zito, R. (2000). Integration of global positioning system and geographical information systems for traffic congestion studies. Transportation Research Part C, 8, 257–285

    Article  Google Scholar 

  • TeleAtlas (2007). Product Description: TeleAtlas 3D LandMarks, Retrieved 18 December 2007, from http://www.teleatlas.com/stellent/groups/public/documents/content/ta_ct015626.pdf

  • Thill, J. (2000). Geographic information systems for transportation in perspective. Transportation Research Part C, 8, 3–12

    Article  Google Scholar 

  • Thong, C. M., and Wong, W. G. (1997). Using GIS to design a traffic information database for urban transport planning. Computers, Environment and Urban Systems, 21(6), 425–443

    Article  Google Scholar 

  • Transport Simulation Systems (TSS) (2006). Aimsun NG Users’ Manual, Barcelona, Spain.

    Google Scholar 

  • Tsai, Y., Gao, B., and Lai J. S. (2004). Multiyear Pavement-Rehabilitation Planning Enabled by Geographic Information System: Network Analyses Linked to Projects. Transportation Research Record, 1889, 21–30

    Article  Google Scholar 

  • Tsamboulas, D. A., and Mikroudis, G. K. (2006). TRANS-POL: A mediator between transportation models and decision makers’ policies. Decision Support Systems, 42, 879–897

    Article  Google Scholar 

  • Tsui, S. Y. A., and Shalaby, A. S. (2006). Enhanced system for link and mode identification for personal travel surveys based on global positioning systems. Transportation Research Record, 1972, 38–45

    Article  Google Scholar 

  • U.S. Census Bureau (2008). Topologically integrated geographic encoding and referencing system. Washington D.C.: U.S. Census Bureau. http://www.census.gov/geo/www/tiger.

  • Vicente, A. S., and Martìn, C. Z. (2006). Geographic information system analysis of accessibility as indicator of potential land use changes and of induced impacts on the environment: application to the Pyrenean area of France and Spain. Transportation Research Record, 1983, 24–32

    Article  Google Scholar 

  • Vonderhoe, A., Chou, C., Sun, F., and Adams, T. (1998). A generic Data Model for Linear Referencing System. Research Results Digest, 218. National Cooperative Highway Research Program. Transportation Research Board

    Google Scholar 

  • Wang, B., Liu, X., Lamm, C., and Christie, J. (2007, January). Using GIS and GPS technology to analyse truck drivers compliance with traffic regulations. (Paper presented at the Transportation Research Board 86th Annual Meeting, Washington)

    Google Scholar 

  • Welch, T. J., Tufte, K. A., McCourt, P.E., Ransford, S., Bertini, R. L., and Snook, A. (2007, January). Implementing a User-Oriented Web-based Traffic Data Management and Archive System. (Paper presented at the Transportation Research Board 86th Annual Meeting, Washington)

    Google Scholar 

  • White, C. E., Bernstein, D., and Kornhauser, A. L. (2000). Some map matching algorithms for personal navigation assistants. Transportation Research Part C, 8, 91–108

    Article  Google Scholar 

  • Xiong, D. (2000). A three-stage computational approach to network matching. Transportation Research Part C, 8,71–89

    Article  Google Scholar 

  • You, J., and Kim, T. J. (2000). Development and evaluation of a hybrid travel time forecasting model. Transportation Research Part C, 8, 231–256

    Article  Google Scholar 

  • Yu, H. (2007). Visualizing and Analyzing Activities in an Integrated Space-time Environment: Temporal GIS Design and Implementation. (Paper presented at the Transportation Research Board 86th Annual Meeting, Washington)

    Google Scholar 

  • Zhou, M., Korhonen, A., Malmi, L., Kosonen, I., and Luttinen T. (2006). Integration of Geographic Information System for Transportation with Real-Time Traffic Simulation System: Application Framework. Transportation Research Record, 1972, 78–84

    Article  Google Scholar 

  • Ziliaskopoulos, A. K., and Waller, S. T. (2000). An Internet-based geographic information system that integrates data, models and users for transportation applications. Transportation Research Part C, 8, 427–444.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Transportation Engineering ‘Luigi Tocchetti’, ‘Federico II’ University, 80125, Naples, Italy

    Maria Teresa Borzacchiello & Biagio Ciuffo

  2. Department of Geography, University at Buffalo-SUNY, 14261, Buffalo, NY, USA

    Irene Casas

  3. Department of Spatial Economics, VU University, 1081 HV, Amsterdam, The Netherlands

    Peter Nijkamp

Authors
  1. Maria Teresa Borzacchiello
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  2. Irene Casas
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  3. Biagio Ciuffo
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  4. Peter Nijkamp
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Corresponding author

Correspondence to Maria Teresa Borzacchiello .

Editor information

Editors and Affiliations

  1. Dept. Spatial Economics, VU University Amsterdam Fac. Economics & Business Admin, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands

    Henk J. Scholten

  2. Geonovum, Barchman Wuytierslaan 10, 3818 LH Amersfoort, The Netherlands

    Rob van de Velde

  3. Dept. History, University of York, Heslington, York, YO10 5DD, UK

    Niels van Manen

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Borzacchiello, M.T., Casas, I., Ciuffo, B., Nijkamp, P. (2009). Geo-ICT in Transportation Science. In: Scholten, H.J., van de Velde, R., van Manen, N. (eds) Geospatial Technology and the Role of Location in Science. GeoJournal Library, vol 96. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-2620-0_14

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