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Accessibility in a Post-Apartheid City: Comparison of Two Approaches for Accessibility Computations

Author

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  • Dominik Ziemke

    (Technische Universität Berlin
    University of Pretoria)

  • Johan W. Joubert

    (University of Pretoria)

  • Kai Nagel

    (Technische Universität Berlin
    University of Pretoria)

Abstract

Many authors argue that issues related to interpretability, lack of data availability, and limited applicability in terms of policy analysis have hindered a more widespread use of accessibility indicators. Aiming to address these aspects, this paper presents two accessibility computation approaches applied to Nelson Mandela Bay in South Africa. The first approach, a household-based accessibility indicator, is designed to account for the high diversity both among the South African society and in terms of settlement patterns. Besides OpenStreetMap (OSM) as its main data source, this indicator uses a census and a travel survey to create a synthetic population of the study area. Accessibilities are computed based on people’s daily activity chains. The second approach, an econometric accessibility indicator, relies exclusively on OSM and computes the accessibility of a given location as the weighted sum over the utilities of all opportunities reachable from that location including the costs of overcoming the distance. Neither a synthetic population nor travel information is used. It is found that the econometric indicator, although associated with much lower input data requirements, yields the same quality of insights regarding the identification of areas with low levels of accessibility. It also possesses advantages in terms of interpretability and policy sensitivity. In particular, its exclusive reliance on standardized and freely available input data and its easy portability are a novelty that can support the more widespread application of accessibility measures.

Suggested Citation

  • Dominik Ziemke & Johan W. Joubert & Kai Nagel, 2018. "Accessibility in a Post-Apartheid City: Comparison of Two Approaches for Accessibility Computations," Networks and Spatial Economics, Springer, vol. 18(2), pages 241-271, June.
    • Handle: RePEc:kap:netspa:v:18:y:2018:i:2:d:10.1007_s11067-017-9360-3
    DOI: 10.1007/s11067-017-9360-3
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    References listed on IDEAS

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    1. Bocarejo S., Juan Pablo & Oviedo H., Daniel Ricardo, 2012. "Transport accessibility and social inequities: a tool for identification of mobility needs and evaluation of transport investments," Journal of Transport Geography, Elsevier, vol. 24(C), pages 142-154.
    2. W.A. NaudÈ & W.F. Krugell, 2003. "An Inquiry into Cities and their Role in Subnational Economic Growth in South Africa," Journal of African Economies, Centre for the Study of African Economies, vol. 12(4), pages 476-499, December.
    3. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    4. Ahmed El-Geneidy & David Levinson, 2011. "Place Rank: Valuing Spatial Interactions," Networks and Spatial Economics, Springer, vol. 11(4), pages 643-659, December.
    5. Tanser, Frank & Gijsbertsen, Brice & Herbst, Kobus, 2006. "Modelling and understanding primary health care accessibility and utilization in rural South Africa: An exploration using a geographical information system," Social Science & Medicine, Elsevier, vol. 63(3), pages 691-705, August.
    6. Aura Reggiani & Pietro Bucci & Giovanni Russo, 2011. "Accessibility and Network Structures in the German Commuting," Networks and Spatial Economics, Springer, vol. 11(4), pages 621-641, December.
    7. Vickrey, William S, 1969. "Congestion Theory and Transport Investment," American Economic Review, American Economic Association, vol. 59(2), pages 251-260, May.
    8. Xianyuan Zhan & Satish Ukkusuri & Feng Zhu, 2014. "Inferring Urban Land Use Using Large-Scale Social Media Check-in Data," Networks and Spatial Economics, Springer, vol. 14(3), pages 647-667, December.
    9. Vandenbulcke, Grégory & Steenberghen, Thérèse & Thomas, Isabelle, 2009. "Mapping accessibility in Belgium: a tool for land-use and transport planning?," Journal of Transport Geography, Elsevier, vol. 17(1), pages 39-53.
    10. Christoffel Venter, 2011. "Transport expenditure and affordability: The cost of being mobile," Development Southern Africa, Taylor & Francis Journals, vol. 28(1), pages 121-140.
    11. Beckman, Richard J. & Baggerly, Keith A. & McKay, Michael D., 1996. "Creating synthetic baseline populations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(6), pages 415-429, November.
    12. S L Handy & D A Niemeier, 1997. "Measuring Accessibility: An Exploration of Issues and Alternatives," Environment and Planning A, , vol. 29(7), pages 1175-1194, July.
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    2. Ruqin Yang & Yaolin Liu & Yanfang Liu & Hui Liu & Wenxia Gan, 2019. "Comprehensive Public Transport Service Accessibility Index—A New Approach Based on Degree Centrality and Gravity Model," Sustainability, MDPI, vol. 11(20), pages 1-20, October.
    3. Hasnine, Md Sami & Graovac, Ana & Camargo, Felipe & Habib, Khandker Nurul, 2019. "A random utility maximization (RUM) based measure of accessibility to transit: Accurate capturing of the first-mile issue in urban transit," Journal of Transport Geography, Elsevier, vol. 74(C), pages 313-320.
    4. Yuyang Zhou & Minhe Zhao & Songtao Tang & William H. K. Lam & Anthony Chen & N. N. Sze & Yanyan Chen, 2020. "Assessing the Relationship between Access Travel Time Estimation and the Accessibility to High Speed Railway Station by Different Travel Modes," Sustainability, MDPI, vol. 12(18), pages 1-15, September.
    5. Nejad, Mohammad Motalleb & Erdogan, Sevgi & Cirillo, Cinzia, 2021. "A statistical approach to small area synthetic population generation as a basis for carless evacuation planning," Journal of Transport Geography, Elsevier, vol. 90(C).

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