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Spatial dependence and spillover effects in customized bus demand: Empirical evidence using spatial dynamic panel models
16 references·3 citing·27 second hop
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References

  • 1991Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations33,089 cited
  • 1998Initial conditions and moment restrictions in dynamic panel data models22,547 cited
  • 1995Another look at the instrumental variable estimation of error-components models19,861 cited
  • 1995Initial conditions and moment restrictions in dynamic panel data models14,749 cited
  • 2009How to do Xtabond2: An Introduction to Difference and System GMM in Stata9,826 cited
  • 2004Obesity relationships with community design, physical activity, and time spent in cars1,739 cited
  • 2014Spatial econometrics: from cross-sectional data to spatial panels910 cited
  • 1994Impacts of Mixed Use and Density on Utilization of Three Modes of Travel: Single-Occupant Vehicle, Transit, and Walking903 cited
  • 2006The demand for public transport: The effects of fares, quality of service, income and car ownership722 cited
  • 2011Dynamic spatial panels: models, methods, and inferences576 cited
  • 2004The demand for public transport: a practical guide452 cited
  • 2004Transit Price Elasticities and Cross - Elasticities369 cited
  • 2004Space and Growth: A Survey of Empirical Evidence and Methods337 cited
  • 2001Dynamic Models in Space and Time263 cited

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  • 2015Analysis of a new public-transport-service concept: Customized bus in China252 cited
  • 2017Customized bus service design for jointly optimizing passenger-to-vehicle assignment and vehicle routing239 cited
  • Cited by

    • 2021Customized bus passenger boarding and deboarding planning optimization model with the least number of contacts between passengers during COVID-1917 cited
    • 2023Positive fuel price elasticities of expressway traffic flows: Insights for policymakers and management strategists9 cited
    • 2024How does the built environment affect intermodal transit demand across different spatiotemporal contexts?8 cited