Abstract
Today, accessibility is an important issue in the field of transportation in such a way that can leave a significant effect on urban development and progress. Accessibility is very important for people in the community who use transportation. Transportation involves a lot of costs that we can provide urban transportation policies and plan with social justice, which is one of the issues of sustainability. Social justice in transportation contains seven methods. In this study, we examined social justice with minimal variance for additional benefits and present a linear model of an extend two-objective integer programming method, which is generalize and solve according to the exact ε-constrain method. We review the results in different situations and use the opinion of domain experts for validation. Experimental results reveal that the best way to increase justice is to increase access routes, and in the other cases, to increase available resources, which is much more efficient than increasing areas.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Goodarzian, F., Hosseini-Nasab, H., Fakhrzad, M.B.: A Multi-objective sustainable medicine supply chain network design using a novel hybrid multi-objective metaheuristic algorithm. Int. J. Eng. 33(10), 1986–1995 (2020)
Behbahani, H., Nazari, S., Kang, M.J., Litman, T.: A conceptual framework to formulate transportation network design problem considering social equity criteria. Transp Res. Part A Policy Pract 125, 171–183 (2019)
Miller, H.J.: Place-based versus people-based accessibility. In: Levinson, D., Krizek, K.J. (ed.) Access to Destinations, pp. 63–89. Elsevier, London (2005)
Lee, J., Miller, H.J.: Analyzing collective accessibility using average space-time prisms. Transp. Res. Part D Transp. Environ. 69, 250–264 (2019)
Chen, B.Y., Li, Q., Wang, D., Shaw, S.L., Lam, W.H., Yuan, H., Fang, Z.: Reliable space–time prisms under travel time uncertainty. Ann. Assoc. Am. Geogr. 103(6), 1502–1521 (2013)
Zhu, S., Zhu, F.: Multi-objective bike-way network design problem with space–time accessibility constraint. Transportation 1–25 (2019)
Hu, Y., Downs, J.: Measuring and visualizing place-based space-time job accessibility. J. Transp. Geogr. 74, 278–288 (2019)
Liu, J.B., Cao, J., Alofi, A., Abdullah, A.M., Elaiw, A.: Applications of Laplacian spectra for n-prism networks. Neurocomputing 198, 69–73 (2016)
Cooke, S., Durakovic, E., Onyango, G.M., Simon, D., Singh, K., Gustafsson, A., Davies, C.: Applying a Multi-Level Perspective to Examine the Potential Transition to an Accessibility-Based Approach to Transport Planning: Insights from Cities in Sweden, Kenya and South Africa (2019)
Nie, Y.M., Ghamami, M.: A corridor-centric approach to planning electric vehicle charging infrastructure. Transp. Res. Part B Methodol. 57, 172–190 (2013)
Shi, J.: Transportation equity study and national balanced development in China. In: Proceedings of the European Transport Conference (ETC 2007), Netherlands (2007)
Lu, C.C., Liu, J., Qu, Y., Peeta, S., Rouphail, N.M., Zhou, X.: Eco-system optimal time-dependent flow assignment in a congested network. Transp. Res. Part B Methodol. 94, 217–239 (2016)
Duthie, J., Waller, S.T.: Incorporating environmental justice measures into equilibrium-based network design. Transp. Res. Rec. 2089(1), 58–65 (2008)
Farahani, R.Z., Miandoabchi, E., Szeto, W.Y., Rashidi, H.: A review of urban transportation network design problems. Eur. J. Oper. Res. 229(2), 281–302 (2013)
Feng, T., Zhang, J.: Multicriteria evaluation on accessibility-based transportation equity in road network design problem. J. Adv. Transp. 48(6), 526–541 (2014)
Manaugh, K., Badami, M.G., El-Geneidy, A.M.: Integrating social equity into urban transportation planning: a critical evaluation of equity objectives and measures in transportation plans in North America. Transp. Policy 37, 167–176 (2015)
Zhang, H., Gao, Z.: Bilevel programming model and solution method for mixed transportation network design problem. J. Syst. Sci. Complexity 22(3), 446–459 (2009)
Feng, C.M., Wu, J.Y.J.: Highway investment planning model for equity issues. J. Urban Plan. Dev. 129(3), 161–176 (2003)
Cantarella, G.E., Pavone, G., Vitetta, A.: Heuristics for urban road network design: lane layout and signal settings. Eur. J. Oper. Res. 175(3), 1682–1695 (2006)
Zandiatashbar, A., Hamidi, S., Foster, N., Park, K.: The missing link between place and productivity? The impact of transit-oriented development on the knowledge and creative economy. J. Plan. Educ. Res. 39(4), 429–441 (2019)
Hamidi, S., Zandiatashbar, A.: The Forgotten Dimension: National Investigation of the Relationship Between Urban Sprawl, Transportation Accessibility, and Regional Innovative Capacity (No. 17-02505) (2017)
Fakhrzad, M.B., Goodarzian, F.: A fuzzy multi-objective programming approach to develop a green closed-loop supply chain network design problem under uncertainty: modifications of imperialist competitive algorithm. RAIRO Oper. Res. 53(3), 963–990 (2019)
Goodarzian, F., Hosseini-Nasab, H., Muñuzuri, J., Fakhrzad, M.B.: A multi-objective pharmaceutical supply chain network based on a robust fuzzy model: a comparison of meta-heuristics. Appl. Soft Comput. 92, 106331 (2020)
Goodarzian, F., Shishebori, D., Nasseri, H., Dadvar, F.: A bi-objective production-distribution problem in a supply chain network under grey flexible conditions. https://doi.org/10.1051/ro/2020111
Fakhrzad, M.B., Talebzadeh, P., Goodarzian, F.: Mathematical formulation and solving of green closed-loop supply chain planning problem with production, distribution and transportation reliability. Int. J. Eng. 31(12), 2059–2067 (2018)
Fakhrzad, M.B., Goodarzian, F., Golmohammadi, A.M.: Addressing a fixed charge transportation problem with multi-route and different capacities by novel hybrid meta-heuristics. J. Ind. Syst. Eng. 12(1), 167–184 (2019)
Fakhrzad, M.B., Goodarzian, F.: A new multi-objective mathematical model for a Citrus supply chain network design: metaheuristic algorithms. J. Optim. Ind. Eng. https://doi.org/10.22094/JOIE.2020.570636.1571
Sahebjamnia, N., Goodarzian, F., Hajiaghaei-Keshteli, M.: Optimization of multi-period three-echelon citrus supply chain problem. J. Optim. Ind. Eng. 41–50 (2019)
Fathollahi-Fard, A.M., Ahmadi, A., Goodarzian, F.,Cheikhrouhou, N.: A bi-objective home healthcare routing and scheduling problem considering patients’ satisfaction in a fuzzy environment. Appl. Soft Comput. 106385 (2020)
Goodarzian, F., Hosseini-Nasab, H.: Applying a fuzzy multi-objective model for a production–distribution network design problem by using a novel self-adoptive evolutionary algorithm. Int. J. Syst. Sci. Oper. Logist. 93, 1–22 (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Dastgoshade, S., Abraham, A. (2021). A New Bi-objective Classic Transportation Model Considering Social Justice. In: Abraham, A., Hanne, T., Castillo, O., Gandhi, N., Nogueira Rios, T., Hong, TP. (eds) Hybrid Intelligent Systems. HIS 2020. Advances in Intelligent Systems and Computing, vol 1375. Springer, Cham. https://doi.org/10.1007/978-3-030-73050-5_30
Download citation
DOI: https://doi.org/10.1007/978-3-030-73050-5_30
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-73049-9
Online ISBN: 978-3-030-73050-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)