Optimal locations for bikeshare stations: A new GIS based spatial approach

Snehanshu Banerjee · Md. Muhib Kabir · Nashid K. Khadem · Celeste Chavis

42 citations0/0 files storedTransportation Research Interdisciplinary Perspectives

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Urban Transport and Accessibility Facility Location and Emergency Management Transportation and Mobility Innovations

Abstract

This study identifies three new bike station locations for Baltimore City's bikeshare program using a location allocation spatial analysis tool. Over 1.6 million Global Positioning System (GPS) coordinates of bikeshare trips over a period of four months were used to identify the routes most frequently used by bikers. It was hypothesized that potential new bike station locations have a relationship with proximity to transit, attractions and restaurants/pubs. A negative correlation was found between route usage intensity and proximity to attractions and restaurants/pubs, which means that the closer the proximity to attractions or restaurants/pubs, the higher the road usage intensity is. A new methodology was developed by modifying Huff's gravity model, replacing facility location size with a suitability score. The bike station suitability score is calculated with regard to proximity to transit, attractions, restaurants/pubs and existing bike stations. A location allocation model is developed to maximize market share, i.e., the potential bike station locations will be accessible to maximum population while also being within a 400-m (0.25-mile) radius of attractions, restaurants/pubs and at least 300 m from existing bike stations. The location of the proposed bike stations through location allocation is within a block of the planned bike stations by the City of Baltimore, which corroborates the findings of this study. This methodology will be useful to identify new facility locations in any metropolitan city where maximum exposure is a necessity.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 42 citations exist upstream.

References

1971The Location of Emergency Service Facilities 2006Many Pathways from Land Use to Health: Associations between Neighborhood Walkability and Active Transportation, Body Mass Index, and Air Quality 2009Infrastructure, programs, and policies to increase bicycling: An international review 2009Commuting by Bicycle: An Overview of the Literature 2010Bikesharing in Europe, the Americas, and Asia 2009Bike-sharing: History, Impacts, Models of Provision, and Future 1963Location-Allocation Problems 1996Facility Location: A Survey of Applications and Methods.

Cited by

2022Facility Location in Logistics and Transportation: An enduring relationship 2021Determining the optimal locations for bike-sharing stations: methodological approach and application in the city of Thessaloniki, Greece 2021A Systematic Review of Station Location Techniques for Bicycle-Sharing Systems Planning and Operation 2022Using a GIS-based spatial approach to determine the optimal locations of bikeshare stations: The case of Washington D.C 2021A GIS-Based Method of the Assessment of Spatial Integration of Bike-Sharing Stations

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.