Results 11 to 20 of about 4,349 (167)
Assessing the Employee Welfare Impact of Right‐To‐Work Laws: Insights From State‐Level Legislation
Industrial Relations: A Journal of Economy and Society, EarlyView.ABSTRACT We examine the effect of right‐to‐work (RTW) laws on employee welfare using the stacked difference‐in‐differences (DiD) methodology. We posit that RTW laws weaken collective bargaining power, increase free riding, and ultimately reduce employee welfare. We document a significant employee welfare decline following RTW adoption, especially among
Shima Amini +2 more
wiley +1 more source
Journal of Economic Surveys, EarlyView.ABSTRACT This paper reviews how large‐scale mobility data can enhance economic analyses, highlighting its contributions to understanding travel behavior, labor markets, social interactions, and health outcomes. We discuss its advantages over traditional mobility data sources, which include real‐time location information and fine spatial resolution ...
Cristina Connolly +3 more
wiley +1 more source
When Infrastructure Pushes Residents Out: High‐Speed Rail and Tourism Outflows
Journal of Regional Science, EarlyView.ABSTRACT This paper examines the impact of high‐speed rail (HSR) connectivity on both inbound and outbound tourism inflows. Leveraging the opening of a new HSR line connecting a northern Spanish region with mainland Spain, we employ a triple difference‐in‐differences design combined with inverse probability weighting (IPW) to evaluate the causal effect
David Boto‐García +2 more
wiley +1 more source
Networks, Volume 87, Issue 4, Page 343-371, June 2026.ABSTRACT The analysis of certain properties of the underlying graph of a public transport network generates insights about the network's structure. Hereby, the choice of the graph representation depends on a trade‐off between complexity reduction and information preservation to adequately model a public transport network.
Michael Palk +2 more
wiley +1 more source
High-Speed Rail: The Wrong Road for America [PDF]
, 2008 In the face of high energy prices and concerns about global warming, environmentalists and planners offer high-speed rail as an environmentally friendly alternative to driving and air travel.
Randal O'Toole
core
Modifiable Areal Unit Problem on Network Topological Measures for Public Transit Flows
Transactions in GIS, Volume 30, Issue 2, April 2026.ABSTRACT Transit flows can provide useful insights into urban mobility patterns and dynamics. Generally, the transit flows between the origin and destination locations are aggregated into areal units for statistical analysis. A well‐known issue is the modifiable areal unit problem (MAUP), where its sensitivity depends on the basic areal units.
Jiwoo Kim, Gunhak Lee
wiley +1 more source
Fuel Prices and Ambient Air Pollution: A Study of Sydney*
Economic Record, Volume 102, Issue 336, Page 27-46, March 2026.This paper explores the short‐run influence of road transport fuel prices on ambient air pollution over the period 2004–2023 for the case of Sydney, Australia. Using daily data from nine air quality monitoring stations, we find negative effects of fuel prices on ambient concentrations of several key pollutants including ozone, nitrogen dioxide and ...
Paul J. Burke, Jian Li
wiley +1 more source
, 2020 This paper proposes a stochastic variant of the stable matching model from Rasulkhani and Chow [1] which allows microtransit operators to evaluate their operation policy and resource allocations.
Chow, Joseph Y. J. +3 more
core
Understanding Transit Ridership Demand for a Multi-Destination, Multimodal Transit Network in an American Metropolitan Area, Research Report 11-06 [PDF]
, 2012 This study examines the factors underlying transit demand in the multi-destination, integrated bus and rail transit network for Atlanta, Georgia. Atlanta provides an opportunity to explore the consequences of a multi-destination transit network for bus ...
Bhattacharya, Torsha +3 more
core +1 more source
SubeYa: A System for Predicting Passenger Demand at Train Stations
IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.This study addresses the challenges of urban congestion and long wait times within EL1ML by introducing SubeYa, a web‐based platform designed to predict passenger demand. By utilizing the Prophet predictive model and analysing historical data from 2019 to 2025, the system achieves a global MAE of 259.10.
Angelo Meza +2 more
wiley +1 more source