A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
The Bike-and-Ride Network Design Problem
What do you get when you combine bicycles, the most efficient private mode of transport, with trains, the most efficient mode of mass transport? Magic. or at least the next best thing: a compelling alternative to the car. The integration of these modes allows for their respective strengths to be leveraged, namely the speed and range of public transport and the flexibility of the bicycle. However, this synergy is inhibited by the pervasiveness of sparse, fragmented bicycle networks. To this end, an integrated analytical framework was developed to identify and realize latent regional accessibility (LRA), which is defined as the potential to increase regional accessibility through bicycle network improvements. LRA is determined through an accessibility analysis by considering bike-and-ride (B+R), a fundamental form of integration. It is then used to instantiate the demand in the Bike-and-Ride Network Design Problem (B+RNDP), synchronizing the regional and local scales of the analyses. Subsequently, the B+RNDP determines how a network can be upgraded to realize the LRA most efficiently. The thesis focused on peripheral, suburban areas, as their dispersed urban form heightens the importance of improving alternatives to the car and exacerbates the challenges associated with doing so. Therefore, the framework was demonstrated for the periphery of Munich. The results demonstrate the ability of the accessibility analysis to identify target stops for improvement at the regional scale and the ability of the B+RNDP to subsequently optimize the network within their catchment areas. The performance of the B+RNDP was evaluated by comparing its demand coverage for a given budget to a greedy, shortest-path-based heuristic. The results indicate the value of leveraging an optimization approach, with an improvement of up to 32 percentage points. The longest runtime in the evaluated scenarios was 47 minutes, indicating that B+RNDP is efficient enough for practical applications without needing a powerful computer. The framework is ...
The Bike-and-Ride Network Design Problem
What do you get when you combine bicycles, the most efficient private mode of transport, with trains, the most efficient mode of mass transport? Magic. or at least the next best thing: a compelling alternative to the car. The integration of these modes allows for their respective strengths to be leveraged, namely the speed and range of public transport and the flexibility of the bicycle. However, this synergy is inhibited by the pervasiveness of sparse, fragmented bicycle networks. To this end, an integrated analytical framework was developed to identify and realize latent regional accessibility (LRA), which is defined as the potential to increase regional accessibility through bicycle network improvements. LRA is determined through an accessibility analysis by considering bike-and-ride (B+R), a fundamental form of integration. It is then used to instantiate the demand in the Bike-and-Ride Network Design Problem (B+RNDP), synchronizing the regional and local scales of the analyses. Subsequently, the B+RNDP determines how a network can be upgraded to realize the LRA most efficiently. The thesis focused on peripheral, suburban areas, as their dispersed urban form heightens the importance of improving alternatives to the car and exacerbates the challenges associated with doing so. Therefore, the framework was demonstrated for the periphery of Munich. The results demonstrate the ability of the accessibility analysis to identify target stops for improvement at the regional scale and the ability of the B+RNDP to subsequently optimize the network within their catchment areas. The performance of the B+RNDP was evaluated by comparing its demand coverage for a given budget to a greedy, shortest-path-based heuristic. The results indicate the value of leveraging an optimization approach, with an improvement of up to 32 percentage points. The longest runtime in the evaluated scenarios was 47 minutes, indicating that B+RNDP is efficient enough for practical applications without needing a powerful computer. The framework is ...
The Bike-and-Ride Network Design Problem
McCormick, Bartosz (author) / Büttner, Benjamin (Dr.)
2024-01-01
Theses
Electronic Resource
English
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