Evolutional Attitude Based on Option Prioritization for Conflict Analysis of Urban Transport Planning in Pakistan

Sharafat Ali , Haiyan Xu , Peng Xu , Waqas Ahmed

Journal of Systems Science and Systems Engineering ›› 2019, Vol. 28 ›› Issue (3) : 356 -381.

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Journal of Systems Science and Systems Engineering ›› 2019, Vol. 28 ›› Issue (3) : 356 -381. DOI: 10.1007/s11518-019-5413-0
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Evolutional Attitude Based on Option Prioritization for Conflict Analysis of Urban Transport Planning in Pakistan

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Abstract

This paper constructs a dynamic conflict model that considers Decision Makers’ (DMs) evolutional attitude using the option prioritization. The proposed evolutional attitude approach is based on the framework of the Graph Model for Conflict Resolution (GMCR). Compared with the existing state-based preference, the option prioritization is a more convenient and efficient approach to analyze larger models with consideration of the evolutional attitude, which exists broadly in the evolutional conflicts in real-life. This study reveals how the evolutional attitude of a DM succeeds in the overall evolution of conflict. The analysis unfolds that DMs change their attitude(s) consequent upon the changes in DMs and options available to them as conflict evolves from one level to the next. The changes in attitude of DMs during dynamic conflict situation have substantial effects on the equilibrium outcomes of a conflict. The proposed evaluation attitude-based approach is employed to analyze the conflict between the Punjab Government (G) and Heritage Campaigner and the Public (P) in Pakistan that appeared due to the inappropriate design, planning, and construction of an urban transport system project in Lahore, Pakistan. The present study demonstrates the modeling procedure of a two-level evolutional attitude-based conflict analysis. The results of the stability analysis reveal that improper (negative) attitude may result in undesirable and unexpected consequences, such as project temporalities and delays. This research provides a foundation for future research in urban project planning that employs strategic ways to avoid disputes caused by DMs’ attitudes.

Keywords

Urban planning / infrastructure management / heritage protection / decision making / evolutional attitudes / conflict management / evolutional GMCR

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Sharafat Ali, Haiyan Xu, Peng Xu, Waqas Ahmed. Evolutional Attitude Based on Option Prioritization for Conflict Analysis of Urban Transport Planning in Pakistan. Journal of Systems Science and Systems Engineering, 2019, 28(3): 356-381 DOI:10.1007/s11518-019-5413-0

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References

[1]

Aas C, Ladkin A, Fletcher J. Stakeholder collaboration and heritage management. Annals of Tourism Research, 2005, 32(1): 28-48.

[2]

Ali S, Xu H, Al-Amin A Q, Ahmad N. Energy sources choice and environmental sustainability disputes: An evolutional graph model approach. Quality & Quantity, 2019, 53(2): 561-581.

[3]

Ali S, Xu H, Xu P, Theodora M. Attitudinal analysis of Russia-Turkey conflict with Chinese role as a third-party intervention. Lecture Notes in Business Information Processing, 2018, 315: 167-178.

[4]

Ashfaq A (2016). Orange Line Metro: Will the Supreme Court save Lahore’s heritage? Dawn. Retrieved from https://www.dawn.com/news/1289715, September 2, 2018.

[5]

Balling R J, Taber J T, Brown M R, Day K. Multiobjective urban planning using genetic algorithm. Journal of Urban Planning and Development, 1999, 125(2): 86-99.

[6]

BOI List of agreement: MoUs during visit of Chinese President, 2015, Islamabad: Board of Investment (BOI), Government of Pakistan Retrieved from

[7]

Boone J. (2016). Lahore court backs heritage challenge over metro plans. The Guardian. https://www.theguardian.com/world/2016/aug/19/lahore-court-backs-heritage-challenge-metro-planspakistan, September 2, 2018.

[8]

Burby R J. Making plans that matter: Citizen involvement and government action. Journal of the American Planning Association, 2003, 69(1): 33-49.

[9]

Chiao K-A, Zou X, Yang F. Harmonious urban development and strategic transportation planning in China. Proceedings of the 7th International Conference of Chinese Transportation Professionals Congress 2007: Plan, Build, and Manage Transportation Infrastructures in China, 2007 May 21–22, 2007

[10]

Davies S R, Selin C, Gano G, Pereira  G. Citizen engagement and urban change: Three case studies of material deliberation. Cities, 2012, 29(6): 351-357.

[11]

Fang L, Hipel K W, Kilgour D M. Interactive Decision Making: The Graph Model for Conflict Resolution., 1993, New York, USA: Wiley

[12]

Fraser N M, Hipel K W. Singh M G, Salassa D, Hindi K S. Decision support systems for conflict analysis. Managerial Decision Support Systems, 1988 13-21.

[13]

Ghous M, Khalida K, Basit A, Hassan J. Temporal Analysis of Urbanization and Resulting Local Weather Change: A case study of Lahore, Punjab, Pakistan. Sci.Int.(Lahore), 2015, 27(2): 1281-1287.

[14]

Gobster P H. Visions of nature: Conflict and compatibility in urban park restoration. Landscape and Urban Planning, 2001, 56(1–2): 25-51.

[15]

GoP Pakistan metro project., 2016, Lahore: Transport department Government of the Punjab

[16]

GoPP Project brief of Lahore orange line metro train | Punjab Portal, 2017, Lahore: Government of the Punjab Retrieved from

[17]

Hipel K W, Marc Kilgour D, Fang L, Peng X John. The decision support system GMCR in environmental conflict management. Applied Mathematics and Computation, 1997, 83(2–3): 117-152.

[18]

Hipel K W, Jamshidi M M, Tien J M, White C C. The future of systems, man and cybernetics: Application domains and research methods. 2007 IEEE International Conference on Systems, Man and Cybernetics, 2007 January 7–10, 2007

[19]

Hou Y, Jiang Y, Xu H. Kaminski B, Kersten G, Szapiro T. Option Prioritization for Three-Level Preference in the Graph Model for Conflict Resolution:269-280. Outlooks and Insights on Group Decision and Negotiation. GDN 2015, 2015, Cham: Springer Lecture Notes in Business Information Processing, vol 218

[20]

Inohara T, Hipel K W, Walker S. Conflict analysis approaches for investigating attitudes and misperceptions in the War of 1812. Journal of Systems Science and Systems Engineering, 2007, 16(2): 181-201.

[21]

James P, Holden M, Mary L, Neilson L, Oakley C, Truter A, Wilmoth D. Managing metropolises by negotiating mega-urban growth. In Institutional and Social Innovation for Sustainable Urban Development, 2013

[22]

Javed U (2016). Orange Line battles-Newspaper-DAWN.COM. Dawn. Retrieved from https://www.dawn.com/news/1280614/orange-line-battles, August 29, 2016.

[23]

Kassab M, Hipel K, Hegazy T. Conflict resolution in construction disputes using the graph model. Journal of Construction Engineering and Management, 2006, 132(10): 1043-1052.

[24]

Kilgour D M, Hipel K W. The graph model for conflict resolution: Past, present, and future. Group Decision and Negotiation, 2005, 14(6): 441-460.

[25]

Kovacs E, Fabok V, Kaloczkai A, Hansen H P. Towards understanding and resolving the conflict related to the Eastern Imperial Eagle (Aquila heliaca) conservation with participatory management planning. Land Use Policy, 2016, 54: 158-168.

[26]

LMA (2016) Lahore Metro Aur Aap: Issues. Retrieved from http://www.lahoremetroauraap.org/issues, December 25, 2016.

[27]

MoF Pakistan Economic Survey 2016–17., 2017, Islamabad: Ministry of Finance (MoF), Government of Pakistan

[28]

MoF Pakistan Economic Survey 2017–18., 2018, Islamabad: Ministry of Finance (MoF), Government of Pakistan

[29]

Mohan D. Mythologies, metro rail systems, and future urban transport. Economic and Political Weekly, 2008, 43(4): 41-53.

[30]

NESPAK Punjab Orange Line Metro Project (from Ali Town to Dera Gujjran), PC-I, 2015, Lahore: National Engineering Services Pakistan (Pvt.) Limited

[31]

PBS-GoP Punjab Development Statistics 2017., 2017, Lahore: Bureau of Statistics, Planning & Development Department, Government of the Punjab Retrieved from

[32]

Ploger J. Strife: Urban planning and agonism. Planning Theory, 2004, 3(1): 71-92.

[33]

PMA Environmental Impact Assesment (EIA) Lahore Orange Line Metro Train, 2015, Lahore, Pakistan: Project.Punjab Masstransit Authority (PMA), Government of the Punjab

[34]

Rana I A, Bhatti S S. Lahore, Pakistan-Urbanization challenges and opportunities. Cities, 2018, 72: 348-355.

[35]

Rubin J E. Mathematical Logic: Applications and Theory., 1990, Philadelphia, USA: Sounders

[36]

Sajjad S H, Shirazi S A, Ahmed Khan M, Raza A. Urbanization effects on temperature trends of Lahore during 1950–2007. International Journal of Climate Change Strategies and Management, 2009, 1(3): 274-281.

[37]

Silva M M, Hipel K W, Kilgour D M, Costa A P C S. Urban planning in recife, Brazil: Evidence from a conflict analysis of the new recife project. Journal of Urban Planning and Development, 2017, 143(3): 05017007.

[38]

Silva M M, Kilgour D M, Hipel K W, Costa A P C S. Probabilistic composition of preferences in the graph model with application to the new recife project. Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, 2017, 9(3): 05017004.

[39]

SYSTRA Lahore metro green and orange lines, 2007

[40]

Tam C M, Zeng S X, Tong T K L. Conflict analysis in public engagement program of urban planning in Hong Kong. Journal of Urban Planning and Development, 2009, 135(2): 51-55.

[41]

UNDESA Shanghai Manual: A Guide for Sustainable Urban Development in the 21st Century., 2011, Shanghai: United Nations Department of Economic and Social Affairs (UNDESA)

[42]

Walker S B, Hipel K W, Inohara T. Dominating attitudes in the graph model for conflict resolution. Journal of Systems Science and Systems Engineering, 2012, 21(3): 316-336.

[43]

Xu H, Xu P, Ali S. Attitude analysis in process conflict for C919 aircraft manufacturing. Transactions of Nanjing University of Aeronautics and Astronautics, 2017, 34(2): 115-124.

[44]

Xu H, Hipel K W, Kilgour D M, Fang L. Conflict Resolution Using the Graph Model: Strategic Interactions in Competition and Cooperation, 2018, Cham, Switzerland: Springer Nature, Gewerbestrasse 11, 6330.

[45]

Xu P, Xu H, He S. Evolutional analysis for the South China Sea dispute based on the two-stage attitude of Philippines. GDN 2017: Group Decision and Negotiation. A Socio-Technical Perspective, 2017, 293: 73-85.

[46]

Xu P, Xu H, Ke G Y. Integrating an option-oriented attitude analysis into investigating the degree of stabilities in conflict resolution. Group Decision and Negotiation, 2018, 27(6): 981-1010.

[47]

Yousefi S, Hipel K W, Hegazy T, Asce M. Attitude-based negotiation methodology for the management of construction disputes. Journal of Management in Engineering, 2010, 16(3): 114-122.

[48]

Zahid L (2015). Orange Line — Lahore’s heritage under attack? Pakistan Today. Retrieved from https://www.pakistantoday.com.pk/2015/11/01/orange-line-lahoresheritage-under-attack, September 2, 2018.

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