Short Abstract We reflect on our work to produce a 3D city information model (CIM) for Dublin that acts as a basic digital twin, and our initial attempt to use the CIM to create a deep map. We consider the politics of creating digital twins and deep maps and what they mean for how we understand the nature of mapping, arguing that they produce a dyadic ...
Rob Kitchin, Oliver Dawkins
wiley +1 more source
A rule-based model for Seoul Bike sharing demand prediction using weather data
This research paper presents a rule-based regression predictive model for bike sharing demand prediction. In recent days, Pubic rental bike sharing is becoming popular because of is increased comfortableness and environmental sustainability.
Sathishkumar V E, Yongyun Cho
doaj +1 more source
Review Pages: Methods, Tools and Best practices to Increase the Capacity of Urban Systems to Adapt to Natural and Man-made Changes [PDF]
Starting from the relationship between urban planning and mobility management, TeMA has gradually expanded the view of the covered topics, always remaining in the groove of rigorous scientific in-depth analysis.
Angiello, Gennaro +4 more
core +3 more sources
This study explored the scientometrics and current dynamics of the area of sharing economy business models (SEBMs). Using bibliometric analysis, it examined a collection of 561 studies from the Web of Science and Scopus databases to detect the thematic evolution, strategy map, and emerging trends in SEBM literature as well as to forecast research ...
Carson Duan
wiley +1 more source
GIS-Based Equity Gap Analysis: Case Study of Baltimore Bike Share Program
As more cities adopt bike share systems, questions regarding equity, accessibility, expansion, and bikability arise. Baltimore City implemented bike share in 2016 with plans to expand it up to 57 stations.
Istiak A. Bhuyan +3 more
doaj +1 more source
Multi‐aspect permutation tests for model selection
Abstract In typical machine learning frameworks, model selection is of fundamental importance: commonly, multiple models have to be trained and compared in order to identify the one with the best predictive performances. The aim of this study is to provide a new tool to improve the model selection process, allowing the user to identify the algorithm ...
Elena Barzizza +2 more
wiley +1 more source
Exploring the benefits of minimobility in the urban context: The case of central Stockholm
Over the past decade, there has been rapid growth in the development and infusion of new and disruptive transportation. Some of the pivotal emergent technologies range from micro-mobility and bikeshare to ridesourcing that is set to utilize automated ...
William Riggs, Shivani Shukla
doaj +1 more source
Public Bikesharing in North America During a Period of Rapid Expansion: Understanding Business Models, Industry Trends & User Impacts, MTI Report 12-29 [PDF]
Public bikesharing—the shared use of a bicycle fleet—is an innovative transportation strategy that has recently emerged in major cities around the world, including North America.
Chan, Nelson D. +4 more
core +1 more source
Free-Floating Bike Sharing in Jiangsu: Users’ Behaviors and Influencing Factors [PDF]
In order to explore the factors affecting users’ behaviors in a free-floating bike sharing (FFBS) system in China, a survey was conducted in Jiangsu province, China in 2017, and the travel characteristics of FFBS users were analyzed.
Li, X, Liu, Q, Sun, L, Zhang, Y
core +1 more source
Identification Dockless Bike‐Sharing and Metro Transfer Travelers through Mobility Chain
The burgeoning dockless bike‐sharing system presents a promising solution to the first‐ and last‐mile transportation challenge by connecting trip origins/destinations to metro stations. However, the differentiation between metro passengers and DBS riders, as they belong to distinct systems, hinders the precise identification of DBS‐metro transfers ...
Xiang Li +4 more
wiley +1 more source

