The design of a spatial distribution structure is of strategic importance for companies, to meet required customer service levels and to keep logistics costs as low as possible. Spatial distribution structure decisions concern distribution channel layout – i.e. the spatial layout of the transport and storage system – as well as distribution centre location(s). This paper examines the importance of seven main factors and 33 sub-factors that determine these decisions. The Best-Worst Method (BWM) was used to identify the factor weights, with pairwise comparison data being collected through a survey. The results indicate that the main factor is logistics costs. Logistics experts and decision makers respectively identify customer demand and service level as second most important factor. Important sub-factors are demand volatility, delivery time and perishability. This is the first study that quantifies the weights of the factors behind spatial distribution structure decisions. The factors and weights facilitate managerial decision-making with regard to spatial distribution structures for companies that ship a broad range of products with different characteristics. Public policy-makers can use the results to support the development of land use plans that provide facilities and services for a mix of industries.
In the Netherlands municipalities are searching for guidelines for a heat resilient design of the urban space. One of the guidelines which has recently been picked up is that each house should be within a 300 meter of an attractive cool spot outside. The reason is that houses might get too hot during a heat wave and therefor it is important that inhabitants have an alternative place to go. The distance of 300 m has been adopted because of practical reasons. This guideline has been proposed after a research of the University of Amsterdam of applied sciences and TAUW together with 15 municipalities.To help municipalities to take cool spots into account in their urban design the national organization for disseminating climate data has developed a distance to coolness map for all Dutch built up areas. This map shows the cool spots with a minimum of 200 m2 based on a map of the PET for a hot summer day (2*2 m2 spatial resolution). Furthermore the map shows the walking distance for each house (via streets and foot paths) to the nearest cool spot.This map helps as a starting point. Because not all cool spots are attractive cool spots. A research in 2021 showed what further basis and optional characteristics those cool spots should have: e.g. sufficiently large, combination of sun and shadow, benches, quiet, safe and clean. In fact those places should be attractive places to stay for most days of the year.With the distance to attractive cool spots municipalities can easily see which areas lack attractive cool spots. The distance to cool spot maps is therefore a way to simplify complex climate data into an understandable and practical guideline. This is an improvement as compared to using thresholds for temperatures and thresholds for duration of exceedance of those temperatures in a guideline.: Municipalities like this practical approach that combines climate adaptation with improving the livability of a city throughout the year.
This article examines internal organizational factors and external antecedents of sus-tainable value creation by small medium enterprises (SMEs) and constructs a frame-work that integrates, at both levels, the theories of psychological distance andconstrual level from the field of psychology. This research provides an explanation asto why sustainable value creation remains a complex issue, and why many SMEs'engage with sustainable value creation to varying degrees. This paper particularlyhighlights how owner/managers of SME may construe different dimensions of psy-chological distance and apply their understanding to their response to different ante-cedents of sustainable value creation. Finally, by adopting the psychological distanceperspective, this paper highlights the conditions under which internal and externalorganizational and factors can affect SMEs' propensity to create sustainable value. Itfurther concludes by highlighting areas for further research
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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.
