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Ridesharing has become an increasingly popular transportation method over the past decade. Transportation network companies such as Uber and Lyft generally provide two types of rideshare services: personal rideshare, in which users ride alone or …
The railway transport system has seen an increasing demand in recent years, while delays and missed punctuality goals continue to be problems in many countries. To improve punctuality, the amount of primary delays needs to be decreased, and …
This paper investigates the relationship between social networks and the activities they generate, by exploring inter-social-activity durations as a proposed measure of social activity participation frequency. To model the proposed measure, data …
Commuting travel behavior analysis can provide support for policy formulation, transportation planning, and bus route optimization. Existing works on commuting travel behavior analysis focus on commuting travel pattern recognition, while there is …
Effective planning of public charging stations (PCSs) is crucial for accelerating the transition to an electrified transportation system. However, existing approaches often overlook the behavioral complexity of battery electric vehicle (BEV) …
In high-density cities, metro riders’ activities often extend beyond boundaries of one station’s typical service area (e.g., 800 m around the station), spilling into the urban spaces between adjacent stations. We define this phenomenon—where …
The mutual-influence theory which explains the relationship between teleworking and housing relocation, has been conceived for a long time but has never been formally tested. We substantiate this theory by introducing the concept of “anticipated …
This study evaluates the comparability of aggregated mobile phone data (MPD) derived from passive network signalling events and traditional travel survey data for urban transport planning, using the province of Liège as a case study. Our analysis …
The objective of this research is to better understand the heterogeneity of passengers' travel behavior and their spatial locations, which can be used to optimize public transport network structure. Based on individual passenger’s space-behavior …
Urban residents’ activity-travel demands exhibit continuous enrichment and diversification, necessitating urgent evaluations of urban facility and resource supply adequacy and sustainability. Within urban planning and management, capacity is a key …
Transport and logistics organisations have been struggling to find practical and effective ways to achieve net-zero carbon. Multiple environmental policies that could help them do so have been proposed, but their impacts on the economic viability …
People with a migration background and/or who belong to ethnic minorities tend to have different travel behaviour, mainly in terms of lower car use. A better understanding of this nexus is needed, yet there is a lack of quantitative studies on …
The constraints on link density and link inflow/outflow must be included in modeling the dynamic user optimal simultaneous departure time and route choice problem (DUO-SDTRC) to be consistent with the reality. However, the research on the …
Leveraging travel time data is essential for various applications such as ride sharing, traffic management, and traffic accident detection. Despite significant advancements in travel time forecasting, selecting the most appropriate prediction …
Traveling in inclement winter weather is challenging due to reduced mobility and increased travel risks. It is essential to aid commuters in making adequate pre-travel decisions under such conditions by providing real-time information on road and …
Private vehicles park 95% of the time, prompting urban planners and policymakers to implement policies to manage parking supply and demand in city centres efficiently. Understanding the parking dynamics and its correlation with traffic flow is …
Micro-mobility contributes to the transformation of car-centric urban transport systems. Few studies have focused on micro-mobility ownership, a non-negligible indicator for understanding the popularity and development of micro-mobility. Using …
Analyzing intrapersonal variability in mobility patterns (i.e., how individuals’ daily travel behaviors, such as destination and route choice, change over time) requires multi-day datasets, which are not commonly available for transportation …
The freight system serves as the fundamental support for urban logistics, in which heavy trucks constitute the majority of the flow of goods. Hence, the flow of heavy trucks can be regarded as a proxy for analyzing dominant freight activities …
This work provides a synthesis of how transportation fairness, justice and equity academic literature has defined and operationalized standards. We first clarify the key concepts of fairness, equity, justice and standards, and introduce a flexible …