Ev
E.G. van der Wal
info
Please Note
<p>This page displays the records of the person named above and is not linked to a unique person identifier. This record may need to be merged to a profile.</p>
2 records found
1
With regard to climate change and air pollution within cities, interest in sustainable modes of transportation for regular use has taken a rise. Utilitarian cycling is being seen as a frontrunner for replacing everyday motorized travels within and between cities, supported by the rapid emergence of the electric bicycle. Governments are trying to use the increasing opportunities involving bicycle transportation to reduce car traffic and the related air polution, by stimulating the use of bicycles. In this light, interest is drawn to cyclist travel behavior to uncover preferences of cyclists. Existing literature shows a significant impact of weather conditions on cyclist travel behavior in terms of tranportation mode choices. Especially adverse weather condtions leave their mark on the use of bicycles as a means of transportation, as it is recognized by many studies as a main deterrent for cycling. On the other hand, the relation between weather conditions and cyclist route choice is an underexplored topic in existing literature. Consequently, it has remained unclear to what extent cyclists attempt to mitigate the influence of weather condtions through choice of route, and based on which determinants. Insights in ways to mitigate unchangeable external circumstances like weather conditions could be another step forward in stimulating utilitarian use of bicycles in the search for transportation modes that can replace motorized trips. This thesis made an attempt to partially address the research gap in existing literature, by departing from findings in the field of pedestrian mobility. In these studies, pedestrians have been found to adapt their choice of route to the degree of shelter that is offered by the built environment as a measure to change level of weather exposure. These findings were projected on cyclist route choice, to evaluate to what extent cyclist alter their choice of route based on weather conditions and the degree of shelter that can be found within a built environment. An elaborate methodology was proposed in which observed routes throughout the study area of Tilburg (the Netherlands), comprising trips made with conventional and electric bicycles, were compared with shortest and fastest alternatives. The weather conditions under which a route was conducted were modelled through a set of individual meteorological factors, spatially related to the location of an observed route. To operationalize the degree of shelter provided by the built environment, a new method was developed using aspects from existing theories on street climate design and spatial openness in order to provide a detailed description of the potential shelter along a route. Three different shelter factors were established, describing the degree of mean building shelter, maximum building shelter, and vegetational shelter in the form of tree density along a route. Through estimation of a set of linear regression models, independent and combined effects of the meteorological and shelter factors on cyclist route choice were modelled. Initial moderate influences of windspeed, temperature, and cycling under twilight conditions on the choice of route were found, while cyclists generally chose routes with a lower degree of building and vegetational shelter compared to alternative shortest and fastest routes. Interactions between the effects of meteorological and shelter factors showed very limited additional effects, suggesting that utilitarian cyclists in the study area did not value the degree of built environment shelter along a route sufficiently as a mitigator of weather conditions to diverge from the shortest or fastest route. These findings imply that built environment shelter does not have to be accounted for in policy design to stimulate utilitarian cycling.
...
With regard to climate change and air pollution within cities, interest in sustainable modes of transportation for regular use has taken a rise. Utilitarian cycling is being seen as a frontrunner for replacing everyday motorized travels within and between cities, supported by the rapid emergence of the electric bicycle. Governments are trying to use the increasing opportunities involving bicycle transportation to reduce car traffic and the related air polution, by stimulating the use of bicycles. In this light, interest is drawn to cyclist travel behavior to uncover preferences of cyclists. Existing literature shows a significant impact of weather conditions on cyclist travel behavior in terms of tranportation mode choices. Especially adverse weather condtions leave their mark on the use of bicycles as a means of transportation, as it is recognized by many studies as a main deterrent for cycling. On the other hand, the relation between weather conditions and cyclist route choice is an underexplored topic in existing literature. Consequently, it has remained unclear to what extent cyclists attempt to mitigate the influence of weather condtions through choice of route, and based on which determinants. Insights in ways to mitigate unchangeable external circumstances like weather conditions could be another step forward in stimulating utilitarian use of bicycles in the search for transportation modes that can replace motorized trips. This thesis made an attempt to partially address the research gap in existing literature, by departing from findings in the field of pedestrian mobility. In these studies, pedestrians have been found to adapt their choice of route to the degree of shelter that is offered by the built environment as a measure to change level of weather exposure. These findings were projected on cyclist route choice, to evaluate to what extent cyclist alter their choice of route based on weather conditions and the degree of shelter that can be found within a built environment. An elaborate methodology was proposed in which observed routes throughout the study area of Tilburg (the Netherlands), comprising trips made with conventional and electric bicycles, were compared with shortest and fastest alternatives. The weather conditions under which a route was conducted were modelled through a set of individual meteorological factors, spatially related to the location of an observed route. To operationalize the degree of shelter provided by the built environment, a new method was developed using aspects from existing theories on street climate design and spatial openness in order to provide a detailed description of the potential shelter along a route. Three different shelter factors were established, describing the degree of mean building shelter, maximum building shelter, and vegetational shelter in the form of tree density along a route. Through estimation of a set of linear regression models, independent and combined effects of the meteorological and shelter factors on cyclist route choice were modelled. Initial moderate influences of windspeed, temperature, and cycling under twilight conditions on the choice of route were found, while cyclists generally chose routes with a lower degree of building and vegetational shelter compared to alternative shortest and fastest routes. Interactions between the effects of meteorological and shelter factors showed very limited additional effects, suggesting that utilitarian cyclists in the study area did not value the degree of built environment shelter along a route sufficiently as a mitigator of weather conditions to diverge from the shortest or fastest route. These findings imply that built environment shelter does not have to be accounted for in policy design to stimulate utilitarian cycling.
Cyclist Route Choice Modeling
A research on influence of Openness & Monotony on cyclist route choice
Student report
(2018)
-
Anastasia Anastasiadou, Meylin Herrera Herrera, Davey Oldenburg, Ioanna Tsakalakidou, Erik van der Wal, Edward Verbree, Kees Maat
In previous studies on cyclist route choice, many influencing factors have been identified. Openness of the built environment, which can be described as the extent of open space above and around a specific point, has no yet been related to cyclist travel behaviour. Monotony of the built environment, described as the extent of visual variation of elements that form the built environment for a sequence of locations, has been related to transportation problems but not to cyclist route choice in particular. This research seeks to bridge this gap in existing literature by determining the effect of the openness and monotony of the built environment on cyclist route choice in the Province of Noord-Brabant. The openness value for a specific route has been modeled by accounting for the building heights and distance to a building for a sequence of locations. Applying a linear regression analysis with the openness and monotony model as input shows that openness of the built environment has a negative influence on the amount of distance people are willing to diverge from the shortest path, while on the other hand, cyclists prefer to use roads with higher variation in the built environment. However, the results show that the proportional influence of both factors can be considered as low.
...
In previous studies on cyclist route choice, many influencing factors have been identified. Openness of the built environment, which can be described as the extent of open space above and around a specific point, has no yet been related to cyclist travel behaviour. Monotony of the built environment, described as the extent of visual variation of elements that form the built environment for a sequence of locations, has been related to transportation problems but not to cyclist route choice in particular. This research seeks to bridge this gap in existing literature by determining the effect of the openness and monotony of the built environment on cyclist route choice in the Province of Noord-Brabant. The openness value for a specific route has been modeled by accounting for the building heights and distance to a building for a sequence of locations. Applying a linear regression analysis with the openness and monotony model as input shows that openness of the built environment has a negative influence on the amount of distance people are willing to diverge from the shortest path, while on the other hand, cyclists prefer to use roads with higher variation in the built environment. However, the results show that the proportional influence of both factors can be considered as low.