Space Wars — Finding an economically efficient allocation of street space across different transport modes

This paper analyzes how street space should be allocated across cars, buses, bicycles, and parking in order to maximize economic efficiency, i.e. the aggregate economic well-being of all the people who use a city’s transport system minus the public funds required to run this system. Accordingly, we set up a nested logit model reflecting differences between users, how congestion in one mode affects others, and how travel demand responds to changes in prices and travel times. Simulations are conducted for Berlin, Germany and New York City, USA. We find that re-allocating street space from cars to buses and especially bicycles improves efficiency. Effect magnitudes and the extent of optimal re-allocations vary between cities. We also shed light on the channels through which re-allocations impact on efficiency. • Street space re-allocations can improve economic efficiency of the transport system. • Efficiency increases when re-allocating street space from cars to buses and bicycles. • Simulations for Berlin and New York City indicate city-specific effect differences.

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Publication Details

Journal
Transportation Research Interdisciplinary Perspectives
Published
2026-05-01
DOI
https://doi.org/10.1016/j.trip.2026.102014
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
0.00
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article

Space Wars — Finding an economically efficient allocation of street space across different transport modes

Gernot Sieg, Jan Wessel
Transportation Research Interdisciplinary Perspectives
Urban Transport and Accessibility
article

Space Wars — Finding an economically efficient allocation of street space across different transport modes

Gernot Sieg, Jan Wessel
article en

Abstract

This paper analyzes how street space should be allocated across cars, buses, bicycles, and parking in order to maximize economic efficiency, i.e. the aggregate economic well-being of all the people who use a city’s transport system minus the public funds required to run this system. Accordingly, we set up a nested logit model reflecting differences between users, how congestion in one mode affects others, and how travel demand responds to changes in prices and travel times. Simulations are conducted for Berlin, Germany and New York City, USA. We find that re-allocating street space from cars to buses and especially bicycles improves efficiency. Effect magnitudes and the extent of optimal re-allocations vary between cities. We also shed light on the channels through which re-allocations impact on efficiency. • Street space re-allocations can improve economic efficiency of the transport system. • Efficiency increases when re-allocating street space from cars to buses and bicycles. • Simulations for Berlin and New York City indicate city-specific effect differences.

Transportation Research Interdisciplinary PerspectivesVol. 37
University of Münster (DE)
Openalex Percentile: Top 6%
Urban Transport and Accessibility
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