Modified Traffic Analysis Zones Approach for the Estimation of Passenger Flow Distribution in Urban Areas
Publication: Journal of Urban Planning and Development
Volume 149, Issue 1
Abstract
This research captures the complex interaction between land use and transportation in an urban context. Even though several land use–transport interaction models at both micro and macro levels are available, there is a necessity to address the intermediate-level model with acceptable accuracy and without intensive data requirement. Further, consideration of road networks and land use in the traffic analysis zone demarcation is a significant requirement to enhance accuracy in estimating passenger flow distribution. This research provides a methodology to identify modified traffic analysis zones (MTAZs) based on traffic flow distribution and to redistribute macrolevel trip origins and destinations into MTAZs considering the road network and land-use character of the area. The core objective of the research is to develop a methodology to demonstrate the relationship between trip production/attraction and land use, to propose a method to redistribute macrolevel origin-destination data into MTAZs based on the identified relationship and to propose a method to assign estimated traffic flows to the road links. The methodology intends to guide the land use and transportation decision making. The methodology is developed based on both spatial and statistical analysis utilizing software and tools, such as ArcMAP, SPSS, and MS Excel. A case study covering the Colombo Municipal Council area, which is located within Colombo District, Western Province, Sri Lanka, is presented to demonstrate the application of the proposed methodology. According to the validation results, the proposed methodology has increased the accuracy of passenger flow estimation compared with the administrative zone-based conventional passenger flow estimation methodologies.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
This work is partially funded by the Centre for Intelligent Transport Systems of the University of Moratuwa. Support extended by the Transportation Engineering Group, Department of Civil Engineering, University of Moratuwa, Ministry of Megapolis—Sri Lanka, Urban Development Authority—Sri Lanka by providing secondary data is acknowledged.
References
Acheampong, R. A., and E. Silva. 2015. “Land use–transport interaction modelling: A review of the literature and future research directions.” J. Transport Land Use 8: 1–28.
Altan, M. F., and Y. E. Ayözen. 2018. “The effect of the size of traffic analysis zones on the quality of transport demand forecasts and travel assignments.” Period. Polytech., Civ. Eng. 62 (4): 971–979.
Bennion, M. W., and W. A. O’Neill. 1994. Building transportation analysis zones using geographic information systems. Transportation Research Record 1429. Washington, DC: Transportation Research Board.
Binetti, M. G., and E. Ciani. 2002. “Effects of traffic analysis zones design on transportation models.” In Proc., 9th Meeting of the Euro Working Group on Transportation. Bari, Italy: Polytechnic University of Bari.
Boarnet, M., and R. Crane. 2001. “The influence of land use on travel behavior: Specification and estimation strategies.” Transp. Res. Part A Policy Pract. 35: 823–845. https://doi.org/10.1016/S0965-8564(00)00019-7.
Chang, K.-T., Z. Khatib, and Y. Ou. 2002. “Effects of zoning structure and network detail on traffic demand modeling.” Environ. Plann. B Plann. Des. 29 (1): 37–52. https://doi.org/10.1068/b2742.
Crevo, C. C. 1991. Impacts of zonal reconfigurations on travel demand forecasts. Transportation Research Record 1305. Washington, DC: Transportation Research Board.
de Dios Ortúzar, J., and L. G. Willumsen. 2011. Modelling transport. Chichester, UK: Wiley.
Ding, C. 1998. “The GIS-based human-interactive TAZ design algorithm: Examining the impacts of data aggregation on transportation-planning analysis.” Environ. Plann. B Plann. Des. 25 (4): 601–616. https://doi.org/10.1068/b250601.
Linqing, W., and T. Jiafu. 2014. “First-order contiguity constraint on Traffic Analysis Zone delineation problem.” In Proc., 26th Chinese Control and Decision Conf., edited by C. Wen and Z. P. Jiang, 3103–3107. Piscataway, NJ: IEEE.
Mahmassani, H. S., and K. F. Abdelghany. 2002. “Dynasmart-IP: Dynamic traffic assignment meso-simulator for intermodal networks.” In Advanced modeling for transit operations and service planning, edited by W. H. K. Lam, and M. G. H. Bell, 200–229. Bingley, UK: Emerald Group Publishing.
Martínez, L. M., J. M. Viegas, and E. A. Silva. 2007. “Zoning decisions in transport planning and their impact on the precision of results.” Transp. Res. Rec. 1994 (1): 58–65. https://doi.org/10.3141/1994-08.
Martínez, L. M., J. M. Viegas, and E. A. Silva. 2009. “A traffic analysis zone definition: A new methodology and algorithm.” Transp. 36 (5): 581–599. https://doi.org/10.1007/s11116-009-9214-z.
McNally, M. G. 2000. The four step model. Irvine, CA: University of Irvine, Center for Activity Systems Analysis.
Paul, K., T. Tharakabhushanam, and C. Wu. 2007. A recommended approach to delineating traffic analysis zones in Florida. Medford, MA: Cambridge Systematics.
Rodríguez, D. A., D. R. Godschalk, R. K. Norton, and S. Aytur. 2004. The connection between land use and transportation in land use plans. FHWA/NC/2004-08. Raleigh, NC: North Carolina Department of Transportation.
Sen, A., and T. E. Smith. 1995. Gravity models of spatial interaction behavior. Dordrecht, Netherlands: Springer.
Weerasinghe, O., and S. Bandara. 2019. “A GIS based methodology to demarcate modified traffic analysis zones in urban areas.” In Proc., Moratuwa Engineering Research Conf., 498–503. Piscataway, NJ: IEEE.
Wegener, M. 2004. “Overview of land use transport models.” In Handbook of transport geography and spatial systems, edited by D. A. Hensher, K. J. Button, K. E. Haynes, and P. R. Stopher, Vol. 5, 127–146. Bingley, UK: Emerald Group Publishing.
Yao, H., and D. Chen. 2021. “Comparison of apportionment methods for assigning trip data to rezoned traffic analysis zones: A case study of Toronto, Canada.” Can. Geogr. 65 (3): 321–332. https://doi.org/10.1111/cag.12675.
You, J., Z. Nedović-Budić, and T. J. Kim. 1998. “A GIS-based traffic analysis zone design: Implementation and evaluation.” Transp. Plann. Technol. 21 (1–2): 69–91. https://doi.org/10.1080/03081069708717602.
Information & Authors
Information
Published In
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Sep 24, 2021
Accepted: Jun 23, 2022
Published online: Oct 27, 2022
Published in print: Mar 1, 2023
Discussion open until: Mar 27, 2023
ASCE Technical Topics:
- Engineering fundamentals
- Flow distribution
- Highway and road management
- Highway transportation
- Highways and roads
- Hydraulic engineering
- Hydraulic structures
- Infrastructure
- Land use
- Levees and dikes
- Model accuracy
- Models (by type)
- Passengers
- Public transportation
- Traffic analysis
- Traffic engineering
- Traffic flow
- Traffic management
- Transportation engineering
- Trip distribution
- Urban and regional development
- Urban areas
- Water and water resources
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.