Challenges in Determining the Scope of Rail Megaprojects: Responding to Ever-Increasing Infrastructure Demand
Abstract
:1. Introduction
Aim of This Paper
2. Complex Megaprojects
- Complexity thinking, which is the conduct of economics, business, and even politics.
- Complexity theory, which is based on relationships, emergence, patterns, and iterations. It maintains that the universe is full of systems (e.g., weather systems, immune systems, and social systems) that are complex and are constantly adapting to their environment, hence the term complex adaptive systems.
- Complex adaptive systems are a specific type of complex system. These systems are complex in that they are diverse and comprise multiple interconnected elements; they are adaptive in that they can change and learn from experience.
Mega Rail Projects
- Sustainability, including social, environmental, and economic focuses such as key cost drivers, etc. Moreover, sustainable urban development would also be included in this factor.
- Innovative engineering, featuring state-of-the-art design and application of rail infrastructure components, including structural, electrical, intelligence systems, etc.
- Government regulations and guidelines, which not only support prolonged development but also ensure a high level of livability for the communities.
3. Scope of Rail Megaprojects
- Market forces in the development of cities—how the location decision of firms and households causes the development of cities.
- Land use within cities—identifying land-use controls, such as zoning, and interpreting how such controls affect the urban economy.
- Urban transportation—proposed transportation developments such as light rail.
- Urban problems and public policy—poverty or crime, to economics by seeking to answer questions with economic guidance.
- Housing and public policy—funding, uncertainty, space, etc.
- Local government expenditures and taxes—i.e., the council’s annual Rate Spending Composition (RSC).
- Improve connectivity, both nationally and inter-regionally for people, communities, regions, and industry via effectively linking the existing broad-based transport network.
- Enhance logistical systems and trade.
- Provide a consistent framework for continuous sustainable development.
- Provide a consistent framework to provide long-term economic and social benefits.
4. Concluding Remarks
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
- Celauro, C.; Cardella, A.; Guerrieri, M. LCA of Different Construction Choices for a Double-Track Railway Line for Sustainability Evaluations. Sustainability 2023, 15, 5066. [Google Scholar] [CrossRef]
- Centobelli, P.; Cerchione, R.; Esposito, E. Environmental sustainability in the service industry of transportation and logistics service providers: Systematic literature review and research direction. Transp. Res. Part D Transp. Environ. 2017, 53, 454–470. [Google Scholar] [CrossRef]
- Tian, J.; Zhu, C.; Chen, D.; Jiang, R.; Wang, G.; Gao, Z. Car following behavioral stochasticity analysis and modeling: Perspective from wave travel time. Transp. Res. Part B Methodol. 2021, 143, 160–176. [Google Scholar] [CrossRef]
- Fageda, X. Do light rail systems reduce traffic externalities? Empirical evidence from mid-size European cities. Transp. Res. Part D Transp. Environ. 2021, 92, 102731. [Google Scholar] [CrossRef]
- Mouratidis, K.; Peters, S.; Wee, B. Transportation technologies, sharing economy, and teleactivities: Implications for built environment and travel. Transp. Res. Part D Transp. Environ. 2021, 92, 102716. [Google Scholar] [CrossRef]
- Li, W.; Bai, Y.; Zhou, W.; Han, C. Land use significantly affects the distribution of urban green space: Case study of Shanghai, China. J. Urban Plan. Dev. ASCE 2015, 141. [Google Scholar] [CrossRef]
- Ekpiwhre, E.O.; Tee, K.F.; Aghagba, S.A.; Bishop, K. Risk-based Inspection on Highway Assets with Category 2 Defects. Int. J. Saf. Secur. Eng. 2016, 6, 372–382. [Google Scholar] [CrossRef]
- Tee, K.F.; Ebenuwa, A.U.; Zhang, Y. Fuzzy-based Robustness Assessment of Buried Pipelines. J. Pipeline Syst. Eng. Pract. ASCE 2018, 9, 06017007. [Google Scholar] [CrossRef]
- Eldijk, J.; Gil, J.; Kuska, N.; Patro, R. Missing links–Quantifying barrier effects of transport infrastructure on local accessibility. Transp. Res. Part D Transp. Environ. 2020, 85, 102410. [Google Scholar] [CrossRef]
- Hidalgo-Gallego, S.; Núñez-Sánchez, R.; Coto-Millán, P. Strategic interdependence in capacity expansion: A spatial analysis for port infrastructure services. Transp. Res. Part A Policy Pract. 2021, 143, 14–29. [Google Scholar] [CrossRef]
- Rao, C.; Goh, M.; Zhao, Y.; Zheng, J. Location selection of city logistics centers under sustainability. Transp. Res. Part D Transp. Environ. 2015, 36, 29–44. [Google Scholar] [CrossRef]
- Abdujabbar, R.; Liyanage, S.; Dia, H. The role of micro-mobility in shaping sustainable cities: A systematic literature review. Transp. Res. Part D Transp. Environ. 2021, 92, 102734. [Google Scholar] [CrossRef]
- Chapman, J. A Framework for Examining the Dimensions and Characteristics of Complexity Inherent within Rail Megaprojects. Int. J. Proj. Manag. 2016, 34, 937–956. [Google Scholar] [CrossRef]
- Chen, N.; Wang, C. Does green transportation promote accessibility for equity in medium-size U.S. cites? Transp. Res. Part D Transp. Environ. 2020, 84, 102365. [Google Scholar] [CrossRef]
- Gharehbaghi, K.; Myers, M. Intelligent system intricacies: Safety, security and risk management apprehensions of ITS. In Proceedings of the 8th International Conference on Industrial Technology and Management, Cambridge, UK, 2–4 March 2019; IEEE: Cambridge, UK, 2019; pp. 37–40. [Google Scholar]
- Byrne, J.; Sipe, N.; Dodson, J. Australian Environmental Planning: Challenges and Prospects; Routledge: London, UK, 2014; pp. 109–142. [Google Scholar]
- Li, J.; Dou, Y.; Wu, J.; Su, W.; Wu, C. Distracted driving caused by voice message apps: A series of experimental studies. Transp. Res. Part F Traffic Psychol. Behav. 2021, 76, 1–13. [Google Scholar] [CrossRef]
- United Nations. Sustainable Development: The 17 Goals. Department of Economic and Social Affairs. Available online: https://sdgs.un.org/goals (accessed on 20 December 2022).
- Alexandre, L.; Rui Costa, N. Energy supply infrastructure LCA model for electric and hydrogen transportation systems. J. Energy 2013, 56, 70–76. [Google Scholar]
- Gharehbaghi, K.; Hosseinian-Far, A.; Hilletofth, P. The predicaments of environmental impact assessment (EIA) for transport infrastructure: An examination of policy stagnation and progress. Transform. Gov. People Process. Policy 2022, 16, 449–463. [Google Scholar] [CrossRef]
- Wang, J.; Ren, Y.; Shen, L.; Liu, Z.; Wu, Y.; Shi, F. A novel evaluation method for urban infrastructures carrying capacity. Cities 2020, 105, 102846. [Google Scholar] [CrossRef]
- Zidanea, Y.; Johansenb, A.; Ekambaram, A. Megaprojects-Challenges and Lessons Learned. Procedia-Soc. Behav. Sci. 2013, 74, 349–357. [Google Scholar] [CrossRef]
- Sladkowski, A.; Pamula, W. Intelligent Transportation Systems-Problems and Perspectives; Springer: New York, NY, USA, 2015; pp. 121–149. [Google Scholar]
- Anastassiou, G. Intelligent Systems II: Complete Approximation by Neural Network Operators; Springer: New York, NY, USA, 2016; pp. 69–96. [Google Scholar]
- Giunta, M. Assessment of the Impact of CO, NOx and PM10 on Air Quality during Road Construction and Operation Phases. Sustainability 2020, 12, 10549. [Google Scholar] [CrossRef]
- Ruhlandt, R.; Levitt, R.; Jain Ri Hall, D. One approach does not fit all (smart) cities: Causal recipes for cities’ use of “data and analytics”. Cities 2020, 104, 102800. [Google Scholar] [CrossRef]
- Zheng, N.; Geroliminis, N. Area-based equitable pricing strategies for multimodal urban networks with heterogeneous users. Transp. Res. Part A Policy Pract. 2020, 136, 357–374. [Google Scholar] [CrossRef]
- Asnakew, A. Challenges and Success Factors of Railway Megaprojects in Ethiopia. J. Bus. Adm. Stud. 2016, 8, 4–27. [Google Scholar]
- Gharehbaghi, K.; McManus, K.; Robson, K.; Paterno, D.; Myers, M. High speed rail transportation: Key factors for the Australian eastern states. World Rev. Intermodal Transp. 2020, 9, 174–197. [Google Scholar] [CrossRef]
- Vandercruysse, L.; Buts, C.; Dooms, M. A typology of Smart City services: The case of Data Protection Impact Assessment. Cities 2020, 104, 102731. [Google Scholar] [CrossRef]
- Gharehbaghi, K.; McManus, K.; Hurst, N.; Robson, K. Complexities in mega rail transportation projects: ‘Sydney Metro’ and ‘Melbourne Metro Rail’ insight. J. Eng. Des. Technol. 2020, 18, 973–990. [Google Scholar] [CrossRef]
- Tanzi, V.; Davoodi, H. Corruption, Public Investment, and Growth. The Welfare State, Public Investment, and Growth; Springer: Tokyo, Japan, 1998; pp. 41–60. [Google Scholar]
- Bar, L.; Ossewaarde, M.; van Gerven, M. The ideological justifications of the Smart City of Hamburg. Cities 2020, 105, 102811. [Google Scholar] [CrossRef]
- Chmielowski, W. Fuzzy Control in Environmental Engineering; Springer: New York, NY, USA, 2016; pp. 24–29. [Google Scholar]
- Young, R. The Oregon Way: Planning a sustainable economy in the American West. J. Plan. Educ. Res. 2016, 36, 76–88. [Google Scholar] [CrossRef]
- EPA. Sustainability Concepts in Decision-Making: Tools and Approaches for the US Environmental Protection Agency; National Academies Press: Washington, DC, USA, 2014; pp. 31–36.
- Faiza, A.; Suleman, L.; Shah, S.; Farhana, S. Incorporating permaculture and strategic management for sustainable ecological resource management. J. Environ. Manag. 2016, 179, 31–37. [Google Scholar]
- Flyvbjerg, B. What You Should Know about Megaprojects and Why: An Overview. Proj. Manag. J. 2014, 45, 6–19. [Google Scholar] [CrossRef]
- Gharehbaghi, K.; McManus, K. TIS condition monitoring using ANN integration: An overview. J. Eng. Des. Technol. 2019, 17, 204–217. [Google Scholar] [CrossRef]
- Giunta, M.; Pratico, F. Design and maintenance of high-speed rail tracks. In Proceedings of the Aiit International Congress on Transport Infrastructure and Systems (Tis 2017), Rome, Italy, 10–12 April 2017. [Google Scholar]
- Zhan, S.; Wong, S.; Shang, P.; Peng, Q.; Xie, J.; Lo, S. Integrated railway timetable rescheduling and dynamic passenger routing during a complete blockage. Transp. Res. Part B Methodol. 2021, 143, 86–123. [Google Scholar] [CrossRef]
- Walsh, A.; Walker, P.A. Revaluating Megaproject Cost Overruns: Putting Changes into Perspective. In Proceedings of the 14th International Postgraduate Research Conference: Contemporary and Future Directions in the Built Environment; University of Salford: Salford, UK, 2019. [Google Scholar]
- Soteropoulos, A.; Mitteregger, M.; Berger, M.; Zwirchmayr, J. Automated drivability: Toward an assessment of the spatial deployment of level 4 automated vehicles. Transp. Res. Part A Policy Pract. 2020, 136, 64–84. [Google Scholar] [CrossRef]
- Han, H.; Yun, S.; Kim, H.; Kwak, H.; Park, K.; Lee, H. Analyzing Schedule Delay of Mega Project: Lessons Learned from Korea Train Express. IEEE Trans. Eng. Manag. 2009, 56, 243–256. [Google Scholar] [CrossRef]
- Jullien, A.; Dauvergne, M.; Cerezo, V. Environmental assessment of road construction and maintenance policies using LCA. Transp. Res. Part D Transp. Environ. 2014, 29 (Suppl. C), 56–65. [Google Scholar] [CrossRef]
- Khan, L.R.; Tee, K.F. Quantification and Comparison of Carbon Emissions for Flexible Underground Pipelines. Can. J. Civ. Eng. 2015, 42, 728–736. [Google Scholar] [CrossRef]
- Gharehbaghi, K.; McManus, K.; Robson, K.; Eves, C.; Myers, M. Fuzzy Markov development for buried transportation bridges: Review of analysis and modeling technique. Int. J. Struct. Integr. 2020, 11, 338–353. [Google Scholar] [CrossRef]
- Koivurova, T.; Lesser, P. Environmental Impact Assessment in the Arctic—A Guide to Best Practice; Edward Elgar Publishing Limited: Cheltenham, UK, 2016; pp. 29–35. [Google Scholar]
- Tyler, G.; Spoolman, S. Sustaining the Earth, 11th ed.; Cengage Learning: Melbourne, Australia, 2015; pp. 97–104. [Google Scholar]
- Kurth, M.; Kozlowskim, W.; Ganin, A.; Mersky, A.; Leung, B.; Dykes, J.; Kitsak, M.; Linkov, I. Lack of resilience in transportation networks: Economic implications. Transp. Res. Part D Transp. Environ. 2020, 86, 102419. [Google Scholar] [CrossRef]
- Liu, W.; Kong, N.; Wang, M.; Zhang, L. Sustainable multi-commodity capacitated facility location problem with complementarity demand functions. Transp. Res. Part E Logist. Transp. Rev. 2021, 145, 102165. [Google Scholar] [CrossRef]
- Locatelli, G.; Mariani, G.; Sainati, T.; Greco, M. Corruption in Public Projects and Megaprojects: There is an Elephant in the Room! Int. J. Proj. Manag. 2017, 35, 252–268. [Google Scholar] [CrossRef]
- Gharehbaghi, K.; McManus, K.; Robson, K. Minimizing the environmental impacts of mega infrastructure projects: Australian public transport perspective. J. Eng. Des. Technol. 2019, 17, 736–746. [Google Scholar] [CrossRef]
- Flyvbjerg, B. Cost Overruns and Demand Shortfalls in Urban Rail and Other Infrastructure. Transp. Plan. Technol. 2007, 30, 9–30. [Google Scholar] [CrossRef]
- Nair, G.; Bhat, C. Sharing the road with autonomous vehicles: Perceived safety and regulatory preferences. Transp. Res. Part C Emerg. Technol. 2021, 122, 102885. [Google Scholar] [CrossRef]
- Rothengatter, W. Megaprojects in Transportation Networks. Transp. Policy 2019, 75, A1–A15. [Google Scholar] [CrossRef]
- Fu, Y.; Zhang, X. Mega urban agglomeration in the transformation era: Evolving theories, research typologies and governance. Cities 2020, 105, 102813. [Google Scholar] [CrossRef]
- Gharehbaghi, K.; McManus, K.; Myers, M. Utilization of adaptive methodology to underpin rail transportation systems: Sydney metro’s methodical formulation. J. Eng. Des. Technol. 2022, 20, 1132–1153. [Google Scholar] [CrossRef]
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Gharehbaghi, K.; Tee, K.F.; McManus, K. Challenges in Determining the Scope of Rail Megaprojects: Responding to Ever-Increasing Infrastructure Demand. CivilEng 2023, 4, 538-550. https://doi.org/10.3390/civileng4020031
Gharehbaghi K, Tee KF, McManus K. Challenges in Determining the Scope of Rail Megaprojects: Responding to Ever-Increasing Infrastructure Demand. CivilEng. 2023; 4(2):538-550. https://doi.org/10.3390/civileng4020031
Chicago/Turabian StyleGharehbaghi, Koorosh, Kong Fah Tee, and Kerry McManus. 2023. "Challenges in Determining the Scope of Rail Megaprojects: Responding to Ever-Increasing Infrastructure Demand" CivilEng 4, no. 2: 538-550. https://doi.org/10.3390/civileng4020031
APA StyleGharehbaghi, K., Tee, K. F., & McManus, K. (2023). Challenges in Determining the Scope of Rail Megaprojects: Responding to Ever-Increasing Infrastructure Demand. CivilEng, 4(2), 538-550. https://doi.org/10.3390/civileng4020031