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2627. A Framework for building Last Mile Connectivity to Urban Public Transit Systems in India
Invited abstract in session TD-54: Demand-responsive public transport 3, stream Public Transport Optimization.
Tuesday, 14:30-16:00Room: S01 (building: 101)
Authors (first author is the speaker)
| 1. | Murari Srinivasa
|
| Decision Sciences, Indian Institute Of Management Bangalore | |
| 2. | Rajluxmi V. Murthy
|
| Decision Sciences, Indian Institute of Management Bangalore | |
| 3. | Reshma Chandrasekharan
|
| Decision Sciences Area, Indian Institute of Management- Bangalore, India |
Abstract
Multimodal public transit is an integral part of urban passenger transport in rapidly urbanizing modern economies. Public transit systems need strong, tightly-coupled last mile connectivity for continued patronage. In this paper, we deploy a spatial analytics and optimization-based approach to create a replicable framework which identifies and addresses gaps in last-mile connectivity to a planned urban public transit system such as the metro rail. We draw on classic transportation literature on the feeder network design problem and more recent research on last mile transportation systems, while adding to optimization literature on NP-Hard variants of the generic spanning tree problem for an undirected graph to provide an optimal set of last-mile stops and route structures.
We demonstrate our framework through a systematic deconstruction of publicly available spatial/demographic data on an urban agglomeration in India (Bengaluru, Karnataka) and its metro rail infrastructure under development. Our findings show that the proposed long-term metro rail covers about 49% of the current population of 5.8 MM who reside within a walking distance from the proximal station. We identify stops and potential route structures for a fixed last-mile feeder network system which can potentially add a further 33% to the coverage. We also identify zones and segments of the city and its population for consistent planning of the built environment to facilitate better last mile connectivity.
Keywords
- Public Local Transportation Systems
- Transportation
- Graphs and Networks
Status: accepted
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