2014
Feng, T.; Zhang, J.
Multicriteria evaluation on accessibility-based transportation equity in road network design problem Journal Article
In: Journal of Advanced Transportation, vol. 48, iss. 6, 2014, ISSN: 20423195.
Abstract | Links | BibTeX | Tags: accessibility, bilevel programming, equity, multiobjective optimization, network design problem
@article{Feng2014c,
title = {Multicriteria evaluation on accessibility-based transportation equity in road network design problem},
author = {T. Feng and J. Zhang},
doi = {10.1002/atr.1202},
issn = {20423195},
year = {2014},
date = {2014-01-01},
journal = {Journal of Advanced Transportation},
volume = {48},
issue = {6},
abstract = {This paper investigates the performance of accessibility-based equity measurements in transportation and proposes a multiobjective optimization model to simulate the trade-offs between equity maximization and cost minimization of network construction. The equity is defined as the spatial distribution of accessibilities across zone areas. Six representative indicators were formulated, including GINI coefficient, Theil index, mean log deviation, relative mean deviation, coefficient of variation, and Atkinson index, and incorporated into an equity maximization model to evaluate the performance sensitivity. A bilevel multiobjective optimization model was proposed to obtain the Pareto-optimal solutions for link capacity enhancement in a stochastic road network design problem. A numerical analysis using the Sioux Falls data was implemented. Results verified that the equity indicators are quite sensitive to the pattern of network scenarios in the sense that the level of equity varies according to the amount of overall capacity enhancement as well as the assignment of improved link segments. The suggested multiobjective model that enables representing the Pareto-optimal solutions can provide multiple options in the decision making of road network design.},
keywords = {accessibility, bilevel programming, equity, multiobjective optimization, network design problem},
pubstate = {published},
tppubtype = {article}
}
This paper investigates the performance of accessibility-based equity measurements in transportation and proposes a multiobjective optimization model to simulate the trade-offs between equity maximization and cost minimization of network construction. The equity is defined as the spatial distribution of accessibilities across zone areas. Six representative indicators were formulated, including GINI coefficient, Theil index, mean log deviation, relative mean deviation, coefficient of variation, and Atkinson index, and incorporated into an equity maximization model to evaluate the performance sensitivity. A bilevel multiobjective optimization model was proposed to obtain the Pareto-optimal solutions for link capacity enhancement in a stochastic road network design problem. A numerical analysis using the Sioux Falls data was implemented. Results verified that the equity indicators are quite sensitive to the pattern of network scenarios in the sense that the level of equity varies according to the amount of overall capacity enhancement as well as the assignment of improved link segments. The suggested multiobjective model that enables representing the Pareto-optimal solutions can provide multiple options in the decision making of road network design.
2010
Feng, T; Timmermans, H
Policy decision making for trade-offs between mobility and equity maximization under environmental capacity constraints: a case study of an integrated multi-objective model Proceedings Article
In: Timmermans, H J P; Vries, B (Ed.): Eindhoven University of Technology, 2010, ISBN: 9789068141818, (10th International Conference on Design and Decision Support Systems, (DDSS2010), DDSS2010 ; Conference date: 19-07-2010 Through 22-07-2010).
Abstract | BibTeX | Tags: accessibility, Environmental capacity, equity, Mobility, Policy decision making
@inproceedings{Feng2010c,
title = {Policy decision making for trade-offs between mobility and equity maximization under environmental capacity constraints: a case study of an integrated multi-objective model},
author = {T Feng and H Timmermans},
editor = {H J P Timmermans and B Vries},
isbn = {9789068141818},
year = {2010},
date = {2010-01-01},
journal = {10th International Conference on Design and Decision Support Systems, DDSS 2010},
publisher = {Eindhoven University of Technology},
abstract = {This paper investigates the trade-offs between mobility and equity maximization under environmental capacity constraints by proposing an integrated model for multi-objective policy decision making. The model specifically deals with two systematic objectives: maximization of mobility and equity, which are respectively formulated by the sum of total car ownership and number of trips, and the difference levels among zonal accessibilities. The environmental capacity constraint is specified based on efficiency theory in which the frontier emission under maximum system efficiency is taken as the capacity. To investigate the performance of the proposed model, three types of hypothetical policies (network improvement, population increase and urban sprawl) are designed and the effects of these policy scenarios are simulated using data of Dalian City, China. Results show that the proposed model can be used for representing the trade-offs between mobility and equity based on different policy interventions. Compaed with two extreme cases with a single objective, mobility maximization and equity maximization, the Pareto-optimal solutions provide more options in practice for decision makers. Taking the solution with the minimum car ownership as an example, the policy of urban sprawl yields the most significant improvement in both emission and accessibility among three scenarios.},
note = {10th International Conference on Design and Decision Support Systems, (DDSS2010), DDSS2010 ; Conference date: 19-07-2010 Through 22-07-2010},
keywords = {accessibility, Environmental capacity, equity, Mobility, Policy decision making},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper investigates the trade-offs between mobility and equity maximization under environmental capacity constraints by proposing an integrated model for multi-objective policy decision making. The model specifically deals with two systematic objectives: maximization of mobility and equity, which are respectively formulated by the sum of total car ownership and number of trips, and the difference levels among zonal accessibilities. The environmental capacity constraint is specified based on efficiency theory in which the frontier emission under maximum system efficiency is taken as the capacity. To investigate the performance of the proposed model, three types of hypothetical policies (network improvement, population increase and urban sprawl) are designed and the effects of these policy scenarios are simulated using data of Dalian City, China. Results show that the proposed model can be used for representing the trade-offs between mobility and equity based on different policy interventions. Compaed with two extreme cases with a single objective, mobility maximization and equity maximization, the Pareto-optimal solutions provide more options in practice for decision makers. Taking the solution with the minimum car ownership as an example, the policy of urban sprawl yields the most significant improvement in both emission and accessibility among three scenarios.
Feng, T.; Timmermans, H.
Policy decision making for trade-offs between mobility and equity maximization under environmental capacity constraints a case study of an integrated multi-objective model Proceedings Article
In: Timmermans, H.; de Vries, B. (Ed.): 10th International Conference on Design and Decision Support Systems, DDSS, Eindhoven University of Technology 2010, ISBN: 9789068141818.
Abstract | Links | BibTeX | Tags: accessibility, Environmental capacity, equity, Mobility, Policy decision making
@inproceedings{Feng2010,
title = {Policy decision making for trade-offs between mobility and equity maximization under environmental capacity constraints a case study of an integrated multi-objective model},
author = {T. Feng and H. Timmermans},
editor = {H. Timmermans and B. de Vries},
url = {https://research.tue.nl/en/publications/design-amp-decision-support-systems-10th-international-conference
},
isbn = {9789068141818},
year = {2010},
date = {2010-01-01},
urldate = {2010-01-01},
booktitle = {10th International Conference on Design and Decision Support
Systems, DDSS},
journal = {10th International Conference on Design and Decision Support Systems, DDSS 2010},
organization = {Eindhoven University of Technology},
abstract = {This paper investigates the trade-offs between mobility and equity maximization under environmental capacity constraints by proposing an integrated model for multi-objective policy decision making. The model specifically deals with two systematic objectives: maximization of mobility and equity, which are respectively formulated by the sum of total car ownership and number of trips, and the difference levels among zonal accessibilities. The environmental capacity constraint is specified based on efficiency theory in which the frontier emission under maximum system efficiency is taken as the capacity. To investigate the performance of the proposed model, three types of hypothetical policies (network improvement, population increase and urban sprawl) are designed and the effects of these policy scenarios are simulated using data of Dalian City, China. Results show that the proposed model can be used for representing the trade-offs between mobility and equity based on different policy interventions. Compaed with two extreme cases with a single objective, mobility maximization and equity maximization, the Pareto-optimal solutions provide more options in practice for decision makers. Taking the solution with the minimum car ownership as an example, the policy of urban sprawl yields the most significant improvement in both emission and accessibility among three scenarios.},
howpublished = {10th International Conference on Design and Decision Support Systems, DDSS},
keywords = {accessibility, Environmental capacity, equity, Mobility, Policy decision making},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper investigates the trade-offs between mobility and equity maximization under environmental capacity constraints by proposing an integrated model for multi-objective policy decision making. The model specifically deals with two systematic objectives: maximization of mobility and equity, which are respectively formulated by the sum of total car ownership and number of trips, and the difference levels among zonal accessibilities. The environmental capacity constraint is specified based on efficiency theory in which the frontier emission under maximum system efficiency is taken as the capacity. To investigate the performance of the proposed model, three types of hypothetical policies (network improvement, population increase and urban sprawl) are designed and the effects of these policy scenarios are simulated using data of Dalian City, China. Results show that the proposed model can be used for representing the trade-offs between mobility and equity based on different policy interventions. Compaed with two extreme cases with a single objective, mobility maximization and equity maximization, the Pareto-optimal solutions provide more options in practice for decision makers. Taking the solution with the minimum car ownership as an example, the policy of urban sprawl yields the most significant improvement in both emission and accessibility among three scenarios.