"Achieving international distinction for creativity, innovation and excellence in geographical, geological and environmental education, research and outreach."

Publications

Papers
Presentations (selected)
Conference Posters

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Papers

Dalumpines, R., & Scott, D. M. (2011). GIS-based Map-matching: Development and Demonstration of a Postprocessing Map-matching Algorithm for Transportation Research. In: S. Geertman, W. Reinhardt, & F. Toppen (Eds.), Advancing Geoinformation Science for a Changing World (Vol. 1, pp. 101-120): Springer Berlin Heidelberg

Dalumpines, R., Kuffer, M., Zuidgeest, M. H. P., & Brussel, M. J. G. (2008). Using Remote Sensing and GIS in Developing Indicators to Support Urban Transport Ecological Footprint Analysis. In: Proceedings of the 4th EARSeL workshop on remote sensing for developing countries in conjunction with GISDECO 8 : June 4-7, 2008, Istanbul, Turkey / European Association of Remote Sensing Laboratories (EARSeL), 2008. 15 p.

 

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Presentations (selected)

Dalumpines, R. & Scott, D.M. (2012). Extracting Behavioral Groups from Activity Diary Data Using Sequence Alignment and Fuzzy Clustering. Paper presented at the Transportation Research Board 91st Annual Conference: January 22-26, 2012, Washington, D.C.

Dalumpines, R., & Scott, D.M. (2011). GIS-based Map-matching: Development and Demonstration of a Postprocessing Map-matching Algorithm for Transportation Research. Paper presented at the 14th AGILE International Conference on Geographic Information Science, April 18-21, 2011, Utrecht, The Netherlands.

Dalumpines, R., & Scott, D.M. (2011) Exploratory Spatial Analysis of the Distribution of Logistics Firms in Ontario. Paper presented at the TRANSLOG 2011 Conference, June 15-16, 2011, Ontario, Canada.

 

 

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Conference Posters

Dalumpines, R., & Scott, D.M. (2011). Mapping activity/travel patterns using spatial statistics and space-time derived measures. Poster presented at the 1st Conference on Spatial Statistics: Mapping Global Change, March 23-25, 2011, University of Twente,  Enschede, The Netherlands.

Dalumpines, R. & Scott, D.M. (2010). Can We Identify Behavioral Groups from Activity Diary Data? Poster presented at the Canadian Geomatics Conference 2010 and ISPRS COM I Symposium, Calgary, Alberta, Canada.

Dalumpines, R., Kaneda, N., & Kanaroglou, P. (2011). Using Traffic Simulation and Geographic Information Systems in Truck Route Planning. Poster presented at the Transportation Research Board 90th Annual Conference: January 23-27, 2011, Washington, D.C.

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Teaching

McMaster University	EARTH/ENVIR SC/GEOG 3GI3, Advanced Raster GIS, 2012-13	T.A.
McMaster University	EARTH/ENVR SC/GEOG 4GI3, Advanced Vector GIS, 2012-13	T.A.
McMaster University	EARTH/ENVR SC/GEOG 4GI3, Advanced Vector GIS, 2011-12	T.A.
McMaster University	GEOG 2LI3, Introduction to Transport & Economic Activity, 2011-12	T.A.
McMaster University	EARTH/ENVR SC/GEOG 4GI3, Advanced Vector GIS, 2010-11	T.A.
McMaster University	EARTH/ENVIR SC/GEOG 2GI3, Introduction to GIS, 2010-11	T.A.
McMaster University	EARTH/ENVIR SC/GEOG 3GI3, Advanced Raster GIS, 2009-10	T.A.

 

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Affiliations

• Institute of Transportation Engineers
• Canadian Association of Geographers
• GEOIDE Student Network

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Research

Research Interests:

• GIS, remote sensing, and GPS applications in transportation
• Use of mobile and web-based technologies to support travel behavior research
• Application of concepts and constructs of time geography to transportation
• Use of activity analysis in understanding travel behavior
• Route choice modeling
• Shopping behavior

Thesis Summary:

Abstract:

The research attempts to address the issue of route choice behavior related to shopping trips by investigating four objectives. Objectives 1 and 2 address the development of tools that will provide the inputs for the route choice modeling that will be dealt with in Objectives 3 and 4. Specifically, Objective 1 will develop a GIS-based map-matching tool to extract observed routes for shopping trips. Objective 2 will develop a GIS-based trip reconstruction tool to further enhance the functionality of the map-matching tool in generating more trip information that will be derived from GPS data. Objectives 1 and 2 will be useful tools for transportation researchers and hopefully will open several opportunities for new research investigations. Objective 3 will explore the route choice model performance of two route choice set generation methods: potential path area (PPA) approach and the branch-and-bound technique. The route choice modeling will unravel factors that influence route choice behavior for shopping trips. This has several policy implications. The knowledge that can be gleaned from this investigation of factors behind route choice behavior for shopping trips will inform land use and transportation policies. Advance information systems can utilize the information on route choice to manage road congestion that specifically targets shopping trips. Objective 4 will explore the effects of urban form to route choice behavior for shopping trips, using case studies of Halifax and Hamilton areas. Using data inputs generated by the tools developed in Objectives 1 and 2, Objective 4 seeks to disentangle the effects of urban form from socio-economic factors. Urban form will be represented by route attributes that will be derived from the network datasets of the two case study areas. Findings from this investigation will be useful in informing land-use and transportation planning decisions, specifically targeting the location of shopping destinations and the planning of road networks to access these destinations. The business community can also find value from the findings of this investigation in formulating business and marketing strategies.

In summary, the proposed research will be the first examination of the route choice behavior for shopping trips – an important dimension of shopping behavior that has not been investigated so far. The tools developed alongside with findings from the route choice modeling will be a significant contribution to travel behavior literature in understanding the route choice behavior for shopping trips.

 

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Service

• Volunteer, GIS Day 2009

• Board Member, GEOIDE Student Network 2010-11

 

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