01520092

Component

https://doi.org/10.3141/2466-16

The relationship between the transportation network and the spatial layout of economic activity is fundamental theory to model the formation and expansion of transport corridors and cities in regional planning. However, previous efforts have mainly focused on the conceptual or theoretical model and failed to replicate the generation and development of corridors and cities in space. This study presents a mathematical model to describe the coevolution process of transport corridors and growth poles on a regional scale: from a few isolated cities and unconnected roads to a complex and interconnected urban system. The mathematical model has two major components: a corridor growth model and a growth pole formation model. The corridor growth model is characterized with network-flow adaption to reflect the cost convergence and flow expansion effect in a transportation network. The growth pole formation model embodies the pole–axis coevolution process based on the Steiner point identification using the index of accessibility. A coevolution simulation is applied to replicate how the growth poles and transport corridors emerged and evolved in the Yangtze River Delta region in China. Meanwhile, the rationality and feasibility of the model are validated. The results show that the presented model simulates well the development of transport corridors and growth poles in the Yangtze River Delta region.

01557688

14-3752

English

pp 144–152

2014

Transportation Research Record: Journal of the Transportation Research Board

9780309295581

Print

Figures (9) ; Maps; References (17) ; Tables (2)

Cities; Networks; Regional planning; Regional transportation; Transportation corridors; Urban growth

Yangtze River Region

Highways; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Jan 27 2014 3:17PM

• Access and Connectivity Trade-Offs in Transit Stop Location
• Capacitated Centralized Carrier Collaboration Multihub Location Problem: Tabu Search Approach
• Capacity Estimation in Support of Mesoscopic Simulation as Part of Dynamic Traffic Assignment Models
• Dual-Route Distribution Strategy with Supply Chain Disruption
• High-Speed Train Network Routing with Column Generation
• Initializing the Traffic Assignment Problem by Zone Aggregation and Disaggregation
• Modeling Network Growth with Scaling Laws in a Linear Monocentric City
• Park-and-Ride Network Equilibrium with Heterogeneous Commuters and Parking Space Constraint
• Properties of Dynamic Freeway Network Flexibility Model
• Routing Policy Choice Set Generation in Stochastic Time-Dependent Networks: Case Studies for Stockholm, Sweden, and Singapore
• Simulation Framework for Modeling Large-Scale Flexible Transit Systems
• Subnetwork Analysis for Dynamic Traffic Assignment Models: Strategy for Estimating Demand at Subnetwork Boundaries
• Transit Route Design Solved with Wireless Data Collection Algorithms
• Travel Time Distribution Under Interrupted Flow and Application to Travel Time Reliability
• Two-Step Approach for Correction of Seed Matrix in Dynamic Demand Estimation
• Unified Route Choice Framework: Specification and Application to Urban Traffic Control