Abstract
With the rapid urbanization in developing countries, urban agglomeration area (UAA) forms. Also, transportation demand in UAA grows rapidly and presents hierarchical feature. Therefore, it is imperative to develop models for transit hubs to guide the development of UAA and better meet the time-varying and hierarchical transportation demand. In this paper, the multiperiod hierarchical location problem of transit hub in urban agglomeration area (THUAA) is studied. A hierarchical service network of THUAA with a multiflow, nested, and noncoherent structure is described. Then a multiperiod hierarchical mathematical programming model is proposed, aiming at minimizing the total demand weighted travel time. Moreover, an improved adaptive clonal selection algorithm is presented to solve the model. Both the model and algorithm are verified by the application to a real-life problem of Beijing-Tianjin-Hebei Region in China. The results of different scenarios in the case show that urban population migration has a great impact on the THUAA location scheme. Sustained and appropriate urban population migration helps to reduce travel time for urban residents.
Highlights
In the process of rapid urbanization in developing countries, regional spatial structure experiences tremendous changes, especially with the development of urban agglomeration area (UAA)
Considering the feature of the encoding and decoding for the multiperiod hierarchical location problem (MHLP) model, improved adaptive clonal selection algorithm (IACSA) is put forward, in which the idea of Simulated annealing (SA) is introduced into Adaptive clonal selection algorithm (ACSA), ensuring global optimization and fast convergence
The Improved Adaptive Clonal Selection Algorithm (IACSA) is coded in C#, running on a laptop with 2.50 GHz Intel Core I5-2450M
Summary
In the process of rapid urbanization in developing countries, regional spatial structure experiences tremendous changes, especially with the development of urban agglomeration area (UAA). Because of the increasing close connection between cities in UAA, intercity passenger demand grows rapidly and presents hierarchical features from the aspects of travel distance and travel space. More convenient transport service is required by passengers. The development of UAA is uncoordinated and meets challenges. Some megacities develop fast but face conflicts between their growing population and decreasing urban carrying capacity, while some small and medium-sized cities have low proportion of urban residents and their developments lag behind. It is required to intensify the transportation network, promote the distribution of key industries and public resources, and shift away some of the megacities’ functions and population, so as to help small and medium-sized cities to develop industries and attract residents to UAA
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
