Integrated Spatial and Transport Infrastructure Development

Drewello, Hansjörg; Scholl, Bernd

doi:10.1007/978-3-319-15708-5

Cited by 4 publications

References 37 publications

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Marketing analysis of multimodal transportation dynamics in logistics infrastructure

Penev,

Shyriaieva,

Legeza

et al. 2024

E3S Web of Conf.

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The basis of economic growth is the presence of a transport system that fully satisfies the needs of all participants in the economic process. The motivation for the study was that, against the backdrop of European integration processes, the transport systems of the EU countries and Ukraine began to quickly converge, which created the need to study potential innovations in the transport industry and identify the most problematic regions and modes of transport. There is also a constant increase in demand for multimodal transport, especially cross-border transport, and their implementation requires information on the current state of transport systems in countries involved in multimodal transport. Implementation of innovations is necessary to ensure multimodality. The study used statistics from 2012 to 2021, publicly available from Eurostat. Based on the study results, it is possible to determine in which countries the demand for innovation marketing is expected. That is, the study will be useful to specialists in developing and promoting innovations as an overview of the market of potential consumers of this service.

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Marketing analysis of multimodal transportation dynamics in logistics infrastructure

Penev,

Shyriaieva,

Legeza

et al. 2024

E3S Web of Conf.

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Building Actor Relationships and Alliances for Complex Problem Solving in Spatial Planning: The Test Planning Method

Scholl

2017

disP - The Planning Review

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Analysis of Spatial Mismatch and Equity using Commuting and Labor Sheds: Trends in Indiana

Chacon-Hurtado

Kumar

Gkritza

et al. 2019

Transportation Research Record: Journal of the Transportation R

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Commuting patterns are spatial interactions that result from the location decisions of firms, households, and the availability of transportation. Empirical evidence shows that these patterns differ across income groups, reflecting different levels of access to economic opportunities, such as jobs and modes of transportation. Accounting for this variability is an important aspect of paradigms and policies that strive for fair and equitable distribution of benefits and dis-benefits of transportation projects. However, measurable and widely accepted measures that could assist in the assessment of this distribution of transportation impacts are limited. This paper proposes a measure of accessibility mismatch for various income groups based on a ratio between commuting and labor sheds derived from open-access observed data. The paper demonstrates this measure using a case study of counties in Indiana between 2005 and 2007. The results show significant differences in the accessibility ratio between high-, middle-, and low-income groups as well as across metropolitan, micropolitan, and non-core counties, a commonly used geographical classification. This accessibility ratio can be used to explain the differences between commuting patterns across socioeconomic groups and their occupations as well as the identification of areas of limited accessibility and job opportunities.

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Integrated Spatial and Transport Infrastructure Development

Cited by 4 publications

References 37 publications

Marketing analysis of multimodal transportation dynamics in logistics infrastructure

Marketing analysis of multimodal transportation dynamics in logistics infrastructure

Building Actor Relationships and Alliances for Complex Problem Solving in Spatial Planning: The Test Planning Method

Analysis of Spatial Mismatch and Equity using Commuting and Labor Sheds: Trends in Indiana

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