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Journal of Environmental Accounting and Management
António Mendes Lopes (editor), Jiazhong Zhang(editor)
António Mendes Lopes (editor)

University of Porto, Portugal

Email: aml@fe.up.pt

Jiazhong Zhang (editor)

School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, China

Fax: +86 29 82668723 Email: jzzhang@mail.xjtu.edu.cn


Modeling Urban System Sustainability as Impacting Energy System

Journal of Environmental Accounting and Management 4(2) (2016) 149--174 | DOI:10.5890/JEAM.2016.06.005

Nibedita Dash; P. Balachandra

Department of Management Studies, Indian Institute of Science, Bangalore 560012, India

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Abstract

Increasing urbanization, in terms of growth in population as well as geographical spread, in developing countries has significant implications for the transport sector. They are manifested as two important indicators – increases in traffic volume and energy consumption. The energy resource constraints, threat of climate change and infrastructure inadequacies have transformed the above two into serious challenges and thus needing immediate attention of planners and policy makers. Adding to the above challenges, recent times have witnessed creation of more sub-urban centers with dispersed activities and hence requiring increased travel needs with higher traffic volumes. However, there is inadequate research in understanding the casual interactions among various agents (or subsystems) of an urban system in relation to transport system, its impact on energy system and consequently on the sustainability of the system as a whole. In this paper, we discuss an attempt to study such interactions by dividing the urban system into many sub-systems, linking these with mobility (or transport) sub-system and then analyzing its combined effect on energy system. The conceptual framework is developed on the premise that each subsystem will have an input and an output and these can be modeled through indicators. Further, these indicators have been mapped into three dimensions of sustainability, namely, social, economic and environmental. Appropriate indicators are chosen to represent the three dimensions. The framework has been validated using data from 36 Indian cities. The extent of sustainability in each dimension is assessed against energy subsystem represented by output indicators. Overall measure of urban system sustainability is established as an average effect of each dimension of sustainability. We contribute in developing new understanding of the underlying role of urban system dynamics towards sustainability, by disintegrating it into residential, employment and mobility subsystems and their impact on the energy system.

References

  1. [1]  Bieri, D.S. (2013), Are Green Cities Nice Places to Live? Examining the Link between Urban Sustainability and Quality of Life, Michigan Journal of Sustainability inaugural issue, 44-73.
  2. [2]  Bagley, M.N. and Mokhtarian, P.L. (2002), The impact of residential neighborhood type on travel behavior: A structural equations modeling approach, Annals of Regional Science 36(2), 279-297.
  3. [3]  Banister, D., Watson, S. and Wood, C. (1997), Sustainable cities: transport, energy, and urban form, Environment and Planning B 24, 125-144.
  4. [4]  Banister, D. (1998), Sustainable Development and Transport. Report for the BundesforschungsanstaltfqrLandeskundeunRaumordnung. The Urban 21 Project.
  5. [5]  BBMP (2011), City Statistics, http://www.census2011.co.in/data/town/803162-bbmp-karnataka.html.
  6. [6]  Boame, A.K. (2004), The technical efficiency of Canadian urban transit systems, Transportation Research Part E 40, 401-416.
  7. [7]  Brons, M., Nijkamp, P., Pels, E. and Rietveld, P. (2005), Efficiency of urban public transit: A meta-analysis, Transportation 32(DECEMBER), 1-21.
  8. [8]  Charnes, A., Cooper, W. W. and Rhodes, E. (1978), Measuring the efficiency of decision making units, European Journal of Operational Research 2(6), 429-444.
  9. [9]  Charnes A, Cooper, W.W., Lewin, A.Y and Seiford, L.M. (1994), Data envelopment analysis: theory, methodology and application. Boston: Kluwer Academic Publishers.
  10. [10]  Coli, M., Nissi, E. and Rapposelli, A. (2011), Monitoring environmental efficiency: An application to Italian provinces, Environmental Modelling and Software 26(1), 38-43.
  11. [11]  District, S.S. (2011). Census of India 2011 Provisional Population Totals Child population and decadal growth by residence - Persons Census of India 2011 Census of India 2011, 6-17.
  12. [12]  Fang, C.L., Guan, X.L., Lu, S.S., Zhou, M. and Deng, Y. (2013), Input-Output Efficiency of Urban Agglomerations in China: An Application of Data Envelopment Analysis (DEA), Urban Studies 50(13), 2766-2790.
  13. [13]  Gidwitz, Z. and Heger, M.P. (2010), Zachary Gidwitz, Martin Philipp Heger, José Pineda and Francisco Rodríguez.
  14. [14]  Jeon, C.M. (2007), Incorporating Sustainability into Transportation Planning. October, (December).
  15. [15]  Karlaftis, M.G. (2004), A DEA approach for evaluating the efficiency and effectiveness of urban transit systems, European Journal of Operational Research 152(2), 354-364.
  16. [16]  Kenworthy, J.R. and Laube, F.B. (1999), Patterns of automobile dependence in cities: an international overview of key physical and economic dimensions with some implications for urban policy, Transportation Research Part A: Policy and Practice 33(7-8), 691-723.
  17. [17]  Kortelainen, M. (2008), Dynamic environmental performance analysis: A Malmquist index approach, Ecological Economics 64(4), 701-715.
  18. [18]  Kuosmanen, T. and Kortelainen, M. (2005), Measuring eco‐efficiency of production with data envelopment analysis, Journal of Industrial Ecology 9(4), 59-72.
  19. [19]  Kuosmanen, T. and Kortelainen, M. (2007), Eco-efficiency analysis of consumer durables using absolute shadow prices, Journal of Productivity Analysis 28(1), 57-69.
  20. [20]  Lefèvre, B. (2009), Long-term energy consumptions of urban transportation: A prospective simulation of “transport-land uses” policies in Bangalore, Energy Policy 37(3), 940-953.
  21. [21]  Lipscy, P.Y. and Schipper, L. (2013), Energy efficiency in the Japanese transport sector, Energy Policy 56, 248-258.
  22. [22]  Litman, T. (2011), Distance-Based Vehicle Insurance Feasibility, Costs and Benefits, Options 1-90.
  23. [23]  Lo Storto, C. (2016), Ecological Efficiency Based Ranking of Cities: A Combined DEA Cross-Efficiency and Shannon’s Entropy Method, Sustainability 8(2), 124.
  24. [24]  Mckinsey Report (2010), India’s Urban Awakening: Building Inclusive Cities, Sustaining Economic Growth, Transportation (April).
  25. [25]  Mindali, O., Raveh, A. and Salomon, I. (2004), Urban density and energy consumption: a new look at old statistics, Transportation Research Part A: Policy and Practice 38(2), 143-162.
  26. [26]  Mishra, S., Salk, H. and Nathan, K. (2013), Measuring Human Development Index : The old, the new and the elegant, (October).
  27. [27]  Morth (2011), Road Transport Year Book (2007 - 2009) Vol.-I, (March), 153.
  28. [28]  Muñiz, I. and Galindo, A. (2005), Urban form and the ecological footprint of commuting. The case of Barcelona, Ecological Economics 55(4), 499-514.
  29. [29]  Newman, P.G. and Kenworthy, J.R. (1989), Cities and automobile dependence: An international sourcebook.
  30. [30]  Newman, P. and Kenworthy, J. (1999), Sustainability and cities: overcoming automobile dependence. Island Press.
  31. [31]  Rassafi, A.A. and M. Vaziri. (2007), Assessment of Modal Transportation Sustainability: Concordance Analyses Min Φ. 31, 179-193.
  32. [32]  Reddy, B.S. and Balachandra, P. (2012), Urban Mobility: A Comparative analysis of megacities of India, Transport Policy 21: 152- 164.
  33. [33]  Shukla, R. and Purushothaman, R. (2007), The Next Urban Frontier.
  34. [34]  Steemers, K. (2003), Energy and the city: Density, buildings and transport, Energy and Buildings 35(1), 3-14.
  35. [35]  Tsamboulas, D.A. (2006), Assessing Performance under Regulatory Evolution: A European Transit System Perspective. Journal of Urban Planning and Development, 132(4), 226-234.
  36. [36]  UnitedNations (2009), Eco-efficiency indicators: Measuring resource-use efficiency and the impact of economic activities on the environment, Greening of Economic Growth Series, ST/ESCAP/2561
  37. [37]  Van Der Waals, J. (2000), The compact city and the environment: A review. Tijdschriftvooreconomischeensocialegeografie 91(2), 111-121.
  38. [38]  Venter, C.J. and Mohammed, S.O. (2013), Estimating car ownership and transport energy consumption: a disaggregate study in Nelson Mandela Bay. Journal of the South African Institution of Civil Engineering, 55(1), 2-10.
  39. [39]  Whitelegg, J. (1993), Transport for a sustainable future: the case for Europe. Belhaven Press.
  40. [40]  Wilbur Smith Associates Ltd. (2008), Study on Traffic and Transportation Policies and Strategies in Urban Areas in India, (May), 1- 149.
  41. [41]  Wu, Y.Y. and He, X.J. (2006), The evaluation of Beijing sustainable development based on DEA model, Systems Engineering - Theory & Practice 3, 117-123.
  42. [42]  Yu, Y. and Wen, Z. (2010), Evaluating China’s urban environmental sustainability with Data Envelopment Analysis, Ecological Economics 69(9), 1748-1755.