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Examining TOD node typology using k-means, hierarchical, and latent class cluster analysis for a developing country

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Abstract

A sustainable urban strategy, transit-oriented development (TOD) encourages mixed-use zoning, compact growth, and pedestrian-friendly community designs. Bangladesh’s capital city, Dhaka, may profit significantly from implementing TOD, primarily if metro rail transit is used as the system’s main component. However, determining which metro stations benefit from TOD optimization is still difficult. To address this issue, this study extends conventional clustering techniques to identify metro stations in Dhaka that are suitable for TOD. Seventeen metro stations on mass rapid transit (MRT) line 6 were considered when evaluating the adequacy of the current stations and their surroundings using nine different characteristics. The findings were grouped into five clusters, each representing a metro station and its related features. This study adds to the body of previous knowledge by offering a more thorough method for assessing the viability of present stations and surroundings for TOD enhancement and commonalities among similar clusters. In addition, the analysis sheds light on Dhaka’s metro stations that could accommodate TOD construction, which could help guide decision-making for further urban planning. The authors recommend that urban planners and policymakers develop TOD strategies in identified clusters to promote sustainable urban development. However, this study has limitations, such as the limited number of indicators used and the focus on a specific metro rail transit system. Future research should use transportation modes to improve the generalizability of these findings.

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Source: https://www.railway-technology.com/projects/dhaka-metro-mass-rapid-transit-system (Accessed: 26/2/20023)

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Acknowledgements

The authors wish to acknowledge Department of Civil Engineering, Military Institute of Science and Technology, for the tremendous support on conducting this research.

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Authors and Affiliations

  1. Department of Civil Engineering, Military Institute of Science and Technology, Dhaka, Bangladesh

    Md. Anwar Uddin

  2. Department of Civil Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

    Sumit Roy

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Correspondence to Md. Anwar Uddin.

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Appendix

Appendix

See Fig. 16 and Table 3.

Fig. 16
figure 16

Vector maps of Motijheel station’s buffer: a land use, b building footprint, and c road network. Source: [56]

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Table 3 TOD analysis measures for different stations (normalized)
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Uddin, M.A., Roy, S. Examining TOD node typology using k-means, hierarchical, and latent class cluster analysis for a developing country. Innov. Infrastruct. Solut. 8, 304 (2023). https://doi.org/10.1007/s41062-023-01252-0

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