Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...

Field Application of Global Positioning System

Field Application of Global Positioning System

The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...

Selected Data About Geographic Locations

Selected Data About Geographic Locations

Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...

Types of Global Positioning System Surveys

Types of Global Positioning System Surveys

GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...

Global Positioning System

Global Positioning System

Global Positioning SystemGlobal Positioning System (GPS) helps people find locations with speed and precision. It works by using satellites in space that send signals to receivers on Earth. These signals allow GPS to determine precise positions anywhere in the world. GPS is widely used for travel, outdoor activities, and research. Understanding how GPS works helps us navigate efficiently and make smarter travel decisions.Science and Engineering Practices: Developing and Using ModelsScientists...

GIS Software, Hardware, and Sources of GIS Data

GIS Software, Hardware, and Sources of GIS Data

A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Allocation of Strategic Positions for Storage of Meat Products Requiring Cold Chain.

Foods (Basel, Switzerland)·2025

Same author

A perioperative optimization program can improve results and reduce hospital length of stay in hip and knee arthroplasty: Experience in Chile.

Revista espanola de cirugia ortopedica y traumatologia·2025

Same author

A three-phase algorithm for the pollution traveling Salesman problem.

Heliyon·2024

Same author

Construction of a Human Immune Library from Gallbladder Cancer Patients for the Single-Chain Fragment Variable (<i>scFv</i>) Antibody Selection against Claudin 18.2 via Phage Display.

Antibodies (Basel, Switzerland)·2024

Same author

Diagnostic accuracy of MRI for detection of occult instability of type I anterior to posterior pelvic injuries.

Injury·2023

Same author

Prevalence of cystic echinococcosis in relatives of patients undergoing surgery for hepatic cystic echinococcosis in an endemic region.

PLoS neglected tropical diseases·2023

Search research articles

Related Experiment Video

Updated: Aug 13, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

Using Geopandas for locating virtual stations in a free-floating bike sharing system.

Claudio Rojas¹, Rodrigo Linfati², Robert F Scherer³

¹Departamento de Ingeniería Industrial, Universidad de Concepción, Edmundo Larenas 215, 4070043, Concepción, Chile.

|January 23, 2023

Summary

This study optimizes bike-sharing station locations in Latin American cities using geospatial data and mathematical programming. The system improves service availability by over 37% and can significantly reduce emissions and operational costs.

Keywords:

BRP, Bike Repositioning Problem BSS, Bike Share System FFBSS, Free Floating Bike Share System FFBSSs virtual stations Geopandas LocalSolver User-based relocation

More Related Videos

Visualizing Methane-Cycling Microbial Dynamics in Coastal Wetlands

Visualizing Methane-Cycling Microbial Dynamics in Coastal Wetlands

Published on: January 31, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

Related Experiment Videos

Last Updated: Aug 13, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

Visualizing Methane-Cycling Microbial Dynamics in Coastal Wetlands

Visualizing Methane-Cycling Microbial Dynamics in Coastal Wetlands

Published on: January 31, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

Area of Science:

Urban planning
Transportation science
Computer science

Background:

Free-floating bike-sharing systems enhance urban mobility.
Efficient bike station localization is key to managing demand and availability.

Purpose of the Study:

To develop an efficient geospatial data wrangling methodology for virtual bike station localization.
To optimize bike station placement in a Latin American city to meet forecasted demand.

Main Methods:

Implementation in Python utilizing Geopandas and LocalSolver libraries.
A binary integer mathematical programming model supports decision-making.
Instances are derived from intercity travel surveys reflecting real travel demand.

Main Results:

The decision support system recommends virtual bike station locations for peak hours.
Improved general availability of the bike-sharing system by over 37%.
Potential reduction of up to 80% in CO2 emissions and nearly 50% in operational costs through user participation in relocation.

Conclusions:

The developed methodology provides an effective approach to optimizing bike-sharing system operations.
Virtual station localization strategies significantly enhance service availability and sustainability.
Integrating user participation in relocation offers substantial environmental and economic benefits.