TY - JOUR
T1 - Defining the resolution of a network for transportation analyses
T2 - A new methodology and algorithm
AU - Cui, Yuchen
AU - Moeckel, Rolf
N1 - Publisher Copyright:
© The Author(s) 2019.
PY - 2020/11
Y1 - 2020/11
N2 - Travel demand models are important tools used in the analysis of transportation plans, projects, and policies. Defining the level of detail (i.e. the number of roads) of the transport network in consistency with the travel demand model’s zone system is crucial for the accuracy of model results. All analyses found in the literature show that the spatial resolution of the transport network has great impact on the model results. If the zone system is fairly coarse, a network as detailed as the real road system will underestimate traffic congestion. Conversely, a network that is too coarse for a given zone system will over-represent congestion. However, there are no tools to determine how much detail is needed in a transport network to be compatible with a given zone system. This paper seeks to fill this knowledge gap by (1) providing a new methodology and algorithm to define an appropriate level of detail for a transport network under a given zone system, and (2) implementing this methodology for the Baltimore area. The results suggest that the transport network and the travel demand model’s zone system need to have a consistent level of resolution to provide reasonable model sensitivities. The evaluation of a new transportation project points out the importance of having an appropriate level of network detail for making reasonable planning decisions.
AB - Travel demand models are important tools used in the analysis of transportation plans, projects, and policies. Defining the level of detail (i.e. the number of roads) of the transport network in consistency with the travel demand model’s zone system is crucial for the accuracy of model results. All analyses found in the literature show that the spatial resolution of the transport network has great impact on the model results. If the zone system is fairly coarse, a network as detailed as the real road system will underestimate traffic congestion. Conversely, a network that is too coarse for a given zone system will over-represent congestion. However, there are no tools to determine how much detail is needed in a transport network to be compatible with a given zone system. This paper seeks to fill this knowledge gap by (1) providing a new methodology and algorithm to define an appropriate level of detail for a transport network under a given zone system, and (2) implementing this methodology for the Baltimore area. The results suggest that the transport network and the travel demand model’s zone system need to have a consistent level of resolution to provide reasonable model sensitivities. The evaluation of a new transportation project points out the importance of having an appropriate level of network detail for making reasonable planning decisions.
KW - Transportation network
KW - network resolution
KW - transportation planning
KW - travel demand models
KW - zone–network consistency
UR - http://www.scopus.com/inward/record.url?scp=85062724945&partnerID=8YFLogxK
U2 - 10.1177/2399808319834309
DO - 10.1177/2399808319834309
M3 - Article
AN - SCOPUS:85062724945
SN - 2399-8083
VL - 47
SP - 1639
EP - 1654
JO - Environment and Planning B: Urban Analytics and City Science
JF - Environment and Planning B: Urban Analytics and City Science
IS - 9
ER -