2014
Feng, T.; Timmermans, H. J. P.
In: Transportation Research Part C: Emerging Technologies, vol. 43, 2014, ISSN: 0968090X.
Abstract | Links | BibTeX | Tags: Accessibility-based equity, Car ownership, Environmental capacity, Mobility, Policy decision making
@article{Feng2014d,
title = {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. J. P. Timmermans},
doi = {10.1016/j.trc.2014.03.012},
issn = {0968090X},
year = {2014},
date = {2014-01-01},
journal = {Transportation Research Part C: Emerging Technologies},
volume = {43},
abstract = {This paper investigates the performance of a policy decision tool proposed for multi-objective decision under different policy interventions. This tool deals with the trade-off between mobility and equity maximization under environmental capacity constraints. Two system objectives, maximization of mobility and equity, are formulated in terms of the sum of total car ownership and number of trips, and the differences in accessibility between zones. Environmental capacities are based on production efficiency theory in which the frontier emission under maximum system efficiency is taken as environmental capacity. To examine the performance of the proposed model, three types of hypothetical policies (network improvement, population increase and urban sprawl) are formulated. Effects are simulated using data pertaining to Dalian City, China. Results show that the proposed model is capable of representing the trade-offs between mobility and equity based on different policy interventions. Compared with two extreme cases with the single objective of mobility maximization or equity maximization, the Pareto-optimal solutions provide more interesting practical options for decision makers. Taking the solution based on the maximum equity as an example, the policy of urban sprawl yields the most significant improvement in both emission and accessibility of the three scenarios. © 2014 Elsevier Ltd.},
keywords = {Accessibility-based equity, Car ownership, Environmental capacity, Mobility, Policy decision making},
pubstate = {published},
tppubtype = {article}
}
This paper investigates the performance of a policy decision tool proposed for multi-objective decision under different policy interventions. This tool deals with the trade-off between mobility and equity maximization under environmental capacity constraints. Two system objectives, maximization of mobility and equity, are formulated in terms of the sum of total car ownership and number of trips, and the differences in accessibility between zones. Environmental capacities are based on production efficiency theory in which the frontier emission under maximum system efficiency is taken as environmental capacity. To examine the performance of the proposed model, three types of hypothetical policies (network improvement, population increase and urban sprawl) are formulated. Effects are simulated using data pertaining to Dalian City, China. Results show that the proposed model is capable of representing the trade-offs between mobility and equity based on different policy interventions. Compared with two extreme cases with the single objective of mobility maximization or equity maximization, the Pareto-optimal solutions provide more interesting practical options for decision makers. Taking the solution based on the maximum equity as an example, the policy of urban sprawl yields the most significant improvement in both emission and accessibility of the three scenarios. © 2014 Elsevier Ltd.
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.