An activity-based approach for optimisation of land use and transportation network development

被引:7
|
作者
Xu, Meng [1 ]
Lam, William H. K. [2 ,3 ]
Gao, Ziyou [3 ]
Grant-Muller, Susan [4 ]
机构
[1] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, 3 Shangyuan Residence, Beijing 100044, Peoples R China
[2] Hong Kong Polytech Univ, Dept Civil & Environm Engn, Kowloon, Hong Kong, Peoples R China
[3] Beijing Jiaotong Univ, Sch Traff & Transportat, 3 Shangyuan Residence, Beijing 100044, Peoples R China
[4] Univ Leeds, Inst Transport Studies, 34-40 Univ Rd, Leeds LS2 9JT, W Yorkshire, England
基金
中国国家自然科学基金;
关键词
activity-based approach; land use and transportation network optimisation; bi-level programming model; genetic algorithm; sustainable urban development; URBAN-LOCATION; TRAVEL CHOICE; ROAD NETWORKS; ROUTE-CHOICE; MODEL; EQUILIBRIUM; DESIGN; LEVEL; FORMULATION; ALLOCATION;
D O I
10.1080/21680566.2015.1135764
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
This paper tentatively makes use of an activity-based approach to investigate the optimisation problem of land use allocation and transportation network enhancement, in which the budget for investment and some other constraints are given for the purpose of sustainable urban development. To make investigation on residential and employment development as well as road link capacity expansions for short-term strategic planning purposes, a new bi-level programming model is proposed to capture the interactions between land use and transportation network development together with their impacts on activity-travel choice behaviours. The lower level of the proposed model is used to model the choice behaviour of commuters on activity chain, departure time, path and activity scheduling duration simultaneously over the time of day, while the upper level is to maximise the population allocation and network enhancement subject to a set of given constraints. A heuristic solution method is developed to solve the proposed bi-level model. Finally, two numerical examples are presented to demonstrate the application of the proposed model and solution algorithm together with some insightful findings.
引用
收藏
页码:111 / 134
页数:24
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