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A travel demand modeling framework based on OpenStreetMap
Demand modeling is an important part of the setup of a traffic model for a city. All travel demand models rely on land use data as the demand for...
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Exploring the association between travel demand changes and the built environment during the COVID-19 pandemic
This study compared the extent to which COVID-19 impacted travel demand of bike-sharing and taxi in New York City, and further explored how the...
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Estimating Regional Travel Demand from Intraregional Urban Demand Models
Studies related to travel demand help determine future demands and travel patterns. The efforts needed for regional demand estimation are complex...
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Short-Term Holiday Travel Demand Prediction for Urban Tour Transportation: A Combined Model Based on STC-LSTM Deep Learning Approach
Short-term prediction of holiday travel demand is a complex but key issue to the planning and management of tour transportation system in big cities....
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Development of Intercity Travel Demand Models for a Highly Industrialised Regional Corridor
To generate cash flow in the economy, it is essential to develop the skillset of people in the country. This is done by taking care of induced travel...
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Electric Vehicle Charging Demand Forecast Based on Residents’ Travel Data
The charging demand of electric vehicles is closely related to residents’ travel behavior, this paper proposes a charging demand prediction method...
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Travel Demand Models for Micro-Level Contact Network Modeling
In the pursuit of accurate infectious disease forecasting, micro-level contact modeling in contact networks emerges as a pivotal element. This...
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Factors that make public transport systems attractive: a review of travel preferences and travel mode choices
BackgroundMany regions worldwide are struggling to create a mode shift from private cars to more sustainable transport modes. While there are many...
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Understanding Influencing Factors of Travel Mode Choice in Urban-Suburban Travel: A Case Study in Shanghai
After the rapid expansion of the subway system over the past two decades, some cities are preparing to build more suburban railways. The emergence of...
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A Single-Level Joint Formulation for Travel Demand Estimation Under Stochastic User Equilibrium
The Origin-Destination (OD) travel demand is an essential component of transportation analysis, particularly for simulation models, such as static or...
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Ride2Rail: integrating ridesharing to increase the attractiveness of rail travel
Shared travel offers an important way to increase the accessibility of rail services. However, providing an integrated shared travel capability for...
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Degree of Saturation Estimation Using the Average Travel Time at a Signalized Intersection
The rapid development of traffic information technology has enabled the collection of segment and location-based data, in addition to spot data....
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Restriction Set Design for Travel Demand Values in an Urban Road Network
Efficient traffic management in a modern urban road network seems impossible today without the support of artificial intelligence systems that use...
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A city-centric approach to estimate and evaluate global Urban Air Mobility demand
Urban Air Mobility is expected to effectively complement the existing transportation system by providing fast and safe travel options, contributing...
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Exploring the determinants of autonomous minibus adoption: empirical findings from a demand-based service in Germany
Autonomous on-demand services as part of public transport are discussed to improve public transport substantially. A household survey in Karlsruhe,...
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On Demand Ride Sharing: Scheduling of an Autonoumous Bus Fleet for Last Mile Travel
Autonomous buses are expected to expand the mobility-on-demand options in cities in the next 10 years. An essential aspect of ensuring optimal usage...
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Construction of a Green and Low-Carbon Travel Order Prediction Model Based on Shared Bicycle Big Data
In the era of big data, traditional analysis methods are insufficient to meet the growing demand for green and low-carbon travel orders in shared...
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Research on supply and demand matching model of transportation modes in MaaS system of integrated passenger transport hub based on deep learning
Advances in artificial intelligence and data acquisition technology are growing, the research on deep learning algorithm has gone deep into various...
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Determining service provider and transport system related effects of ridesourcing services by simulation within the travel demand model mobiTopp
PurposeRidesourcing services have become popular recently and play a crucial role in Mobility as a Service (MaaS) offers. With their increasing...
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Explaining and Predicting Station Demand Patterns Using Google Popular Times Data
Google Popular Times (GPT) data are a novel data source that is open to the public, accessible in real time and available in many cities around the...
