Recent advancements in mobile sensing and wearable technologies create new opportunities to improve our understanding of how people experience their environment. This understanding can inform urban design decisions. Currently, an important urban design issue is the adaptation of infrastructure to increasing cycle and e-bike use. Using data collected from 12 cyclists on a cycle highway between two municipalities in The Netherlands, we coupled location and wearable emotion data at a high spatiotemporal resolution to model and examine relationships between cyclists' emotional arousal (operationalized as skin conductance responses) and visual stimuli from the environment (operationalized as extent of visible land cover type). We specifically took a within-participants multilevel modeling approach to determine relationships between different types of viewable land cover area and emotional arousal, while controlling for speed, direction, distance to roads, and directional change. Surprisingly, our model suggests ride segments with views of larger natural, recreational, agricultural, and forested areas were more emotionally arousing for participants. Conversely, segments with views of larger developed areas were less arousing. The presented methodological framework, spatial-emotional analyses, and findings from multilevel modeling provide new opportunities for spatial, data-driven approaches to portable sensing and urban planning research. Furthermore, our findings have implications for design of infrastructure to optimize cycling experiences.
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Land use or land-use changes can trigger or generate hazards and affect the potential consequences of these hazards. Deforestation can trigger land slides, for example, and land reclamation or levee construction can increase flood hazards downstream. New dwellings in or near forests can trigger wildfires, especially if home owners fail to prioritise fire safety measures. In addition, if land is used for industrial activities, new technological hazards, such as the risks resulting from the storage or production of hazardous materials, can be introduced into the environment. Moreover, land-use changes can increase damage potential. Residential developments in hazard-prone areas, such as areas prone to flooding or earthquakes, can negatively affect the number of properties and people exposed to hazards. Consequently, spatial planning activities that are concerned with influencing land use by locating physical structures and activities such as agriculture, recreation or industry within a territory (Couclelis, 2005; Tewdwr-Jones, 2001) can result in new or increased safety risks in a particular area.
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The Maritime Spatial Planning (MSP) Challenge simulation platform helps planners and stakeholders understand and manage the complexity of MSP. In the interactive simulation, different data layers covering an entire sea region can be viewed to make an assessment of the current status. Users can create scenarios for future uses of the marine space over a period of several decades. Changes in energy infrastructure, shipping, and the marine environment are then simulated, and the effects are visualized using indicators and heat maps. The platform is built with advanced game technology and uses aspects of role-play to create interactive sessions; it can thus be referred to as serious gaming. To calculate and visualize the effects of planning decisions on the marine ecology, we integrated the Ecopath with Ecosim (EwE) food web modeling approach into the platform. We demonstrate how EwE was connected to MSP, considering the range of constraints imposed by running scientific software in interactive serious gaming sessions while still providing cascading ecological feedback in response to planning actions. We explored the connection by adapting two published ecological models for use in MSP sessions. We conclude with lessons learned and identify future developments of the simulation platform.
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In the coming decades, a substantial number of electric vehicle (EV) chargers need to be installed. The Dutch Climate Accord, accordingly, urges for preparation of regional-scale spatial programs with focus on transport infrastructure for three major metropolitan regions among them Amsterdam Metropolitan Area (AMA). Spatial allocation of EV chargers could be approached at two different spatial scales. At the metropolitan scale, given the inter-regional flow of cars, the EV chargers of one neighbourhood could serve visitors from other neighbourhoods during days. At the neighbourhood scale, EV chargers need to be allocated as close as possible to electricity substations, and within a walkable distance from the final destination of EV drivers during days and nights, i.e. amenities, jobs, and dwellings. This study aims to bridge the gap in the previous studies, that is dealing with only of the two scales, by conducting a two-phase study on EV infrastructure. At the first phase of the study, the necessary number of new EV chargers in 353 4-digit postcodes of AMA will be calculated. On the basis of the findings of the Phase 1, as a case study, EV chargers will be allocated at the candidate street parking locations in the Amsterdam West borough. The methods of the study are Mixed-integer nonlinear programming, accessibility and street pattern analysis. The study will be conducted on the basis of data of regional scale travel behaviour survey and the location of dwellings, existing chargers, jobs, amenities, and electricity substations.
The capacity on the Northern ring road in Breda is approaching its limits. Due to planned spatial developments the ring road might even be under further pressure. Therefore the municipality of Breda is working on an action plan to deal with this task. This requires insight into the functioning of the Northern ring road, which has been achieved by combining the following data sources: • Meetweken Breda 1st edition (GPS)• Meetweken Breda 2nd edition (GPS)• OViN• License plate cameras (NRW)• Counting data (NRW)• Bluetooth data (NRW)• Weather data (KNMI)The results show that in comparison with other strongly urbanized cities, Breda is more oriented towards the car and less use is made of public transport and the bicycle. Particularly on short distances there is still potential to further increase bicycle usage. In depth results can be found in the presentation, including information about: peak hours, the number of trips per person per day, the percentage of multimodal trips and the effect of rain on route choice. By combining the insights from the different forms of data, additional insights and an overarching mobility picture emerge. In other words, the overall picture is more than the sum of the parts.
