Using Ridership Profile Clustering and Geographically Weighted Regression to Investigate Spatio-Temporal Patterns of Shared E-scooter Ridership in Christchurch, New Zealand

This study presents the street-segment analysis of shared e-scooter ridership using real trip count data, combining Dynamic Time Warping clustering and Geographically Weighted Poisson Regression to reveal distinct patterns and spatial influencing factors of ridership in Christchurch, New Zealand.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-14
DOI
https://doi.org/10.5281/zenodo.16868798
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using Ridership Profile Clustering and Geographically Weighted Regression to Investigate Spatio-Temporal Patterns of Shared E-scooter Ridership in Christchurch, New Zealand

Zenodo (CERN European Organization for Nuclear Research)
Urban Transport and Accessibility
article

Using Ridership Profile Clustering and Geographically Weighted Regression to Investigate Spatio-Temporal Patterns of Shared E-scooter Ridership in Christchurch, New Zealand

article en

Abstract

This study presents the street-segment analysis of shared e-scooter ridership using real trip count data, combining Dynamic Time Warping clustering and Geographically Weighted Poisson Regression to reveal distinct patterns and spatial influencing factors of ridership in Christchurch, New Zealand.

Zenodo (CERN European Organization for Nuclear Research)
University of Auckland (NZ), University of Canterbury (NZ), McGill University (CA)
Openalex Percentile: Top 54%
Urban Transport and Accessibility
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.