Local online retail platforms (LORPs) are gaining popularity as digital channels that can increase physical retail agglomerations’ attractiveness and viability by stimulating online sales and consumer footfall. However, insights are needed to enrich academic understanding and guide practitioners in their decision-making process regarding use and optimization of these platforms for boosting retail agglomeration vitality. Drawing on uses and gratifications theory, an online survey of 442 Dutch consumers revealed that positive attitudes toward browsing LORPs induced both online purchase and offline visit intentions. Interestingly, despite LORPs' local focus, non-place-specific motives more substantially impacted positive browsing-related attitudes toward LORPs than place-specific ones.
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This conference paper deals with various organizations and pilot initiatives regarding the theme of sustainability.
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We empirically investigate the factors that drive the uneven regional distribution of foreign direct investment (FDI) across Chinese provinces from 1995 to 2006. We first perform a factor analysis to summarize information embodied in around 40 variables and derive four FDI determinants: ‘institutional quality’, ‘labour costs’, ‘market size’, and ‘geography’. Applying these estimated factors, we then employ instrumental variable (IV) estimation to account for endogeneity. In line with theoretical predictions, we find that foreign firms invest in provinces with good institutions, low labour costs, and large market size. The Arellano-Bond dynamic panel generalised method of moments (GMM) results show strong agglomeration effects that multinationals tend to invest in provinces which attract other foreign firms, consistent with the economic geography literature. Several robustness tests indicate that low labour costs combined with improvements in institutions are the key for attracting FDI in China.
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This study introduces a detailed method for analyzing the buckling behavior of laminated composite structures strengthened with multi-walled carbon nanotubes (MWCNTs). We propose a multi-scale analysis that combines analytical and computational techniques to assess the mechanical performance of MWCNT-reinforced composites under combined moisture, temperature, and mechanical stress conditions. The Halpin-Tsai equations are used to calculate the overall stiffness properties of the nano-enhanced matrix, considering factors like MWCNT clustering, alignment, and curvature. Additionally, we incorporate the nanoscopic, size-dependent features of MWCNTs into our model. The Chamis micromechanical formulas are applied to determine the individual elastic properties of the nanocomposite layers, considering the impacts of temperature and moisture. We then explore how variables such as MWCNT content and size, along with temperature and moisture levels, influence the critical buckling load of MWCNT-based laminated composite beams and plates using our multi-scale model. Our results are successfully compared with existing experimental and theoretical data to validate our approach. The developed method offers significant insights for the design and optimization of MWCNT-reinforced composites, potentially benefiting various engineering fields, including aerospace and automotive industries.
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The concept of the Daily Urban System (DUS) has gained relevance over the past decades as the entity to examine and explain the functionality of the urban landscape. Daily Urban Systems are usually defined and measured by the strength of commuter or shopper flows between the nodes of the system. It is important to realize that these Daily Urban Systems are the accumulated pattern of individuals making frequent, recurring trips to other localities than their own. Understanding the microeconomic decisions behind these spatial interactions will help in assessing the functional and spatial structure of DUS. In this paper is explored how, based on Dutch empirical data, the individual household’s spatial interactions shape the daily urban system and how the destination of these interactions correlates with personal and spatial variables and motives for interaction. The results show that the occurrence of non-local spatial interactions can be explained by the size-based Christallerian hierarchy of the localities of residence, but that it is the regional population – or market potential – that explains and moderates the sorting of households and the intensity and direction of their spatial interactions in the DUS, matching agglomeration theory.
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Background: The concept of Functional Independence (FI), defined as ‘functioning physically safe and independent from other persons, within one’s context”, plays an important role in maintaining the functional ability to enable well-being in older age. FI is a dynamic and complex concept covering four clinical outcomes: physical capacity, empowerment, coping flexibility, and health literacy. As the level of FI differs widely between older adults, healthcare professionals must gain insight into how to best support older people in maintaining their level of FI in a personalized manner. Insight into subgroups of FI could be a first step in providing personalized support This study aims to identify clinically relevant, distinct subgroups of FI in Dutch community-dwelling older people and subsequently describe them according to individual characteristics. Results: One hundred fifty-three community-dwelling older persons were included for participation. Cluster analysis identified four distinctive clusters: (1) Performers – Well-informed; this subgroup is physically strong, well-informed and educated, independent, non-falling, with limited reflective coping style. (2) Performers – Achievers: physically strong people with a limited coping style and health literacy level. (3) The reliant- Good Coper representing physically somewhat limited people with sufficient coping styles who receive professional help. (4) The reliant – Receivers: physically limited people with insufficient coping styles who receive professional help. These subgroups showed significant differences in demographic characteristics and clinical FI outcomes. Conclusions: Community-dwelling older persons can be allocated to four distinct and clinically relevant subgroups based on their level of FI. This subgrouping provides insight into the complex holistic concept of FI by pointing out for each subgroup which FI domain is affected. This way, it helps to better target interventions to prevent the decline of FI in the community-dwelling older population.
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Purpose: The purpose of this study is to assess the evolution of restaurant locations in the city of Hamilton over a 12-year period (1996 to 2008) using GIS techniques. Retail theories such as central place, spatial interaction and principle of minimum differentiation are applied to the restaurant setting. Design/methodology/approach: A database of restaurants was compiled using the NZ yellow pages and contained 981 entries that consisted mainly of location addresses and types of cuisine. This paper focuses on locational patterns only. Findings: A process of geo-coding and clustering enabled the identification of two clustering periods over 12 years for city restaurants, indicating locational patterns of agglomeration within a short walking distance of the CBD and spill over effects to the north of the city. Research limitations/implications: The data do not allow statistical analysis of the variables causing the clustering but offer a visual description of the evolution. Explanations are offered on the possible planning regimes, retail provision and population changes that may explain this evolution. Practical implications: The findings allow identification of land use patterns in Hamilton city and potential areas where new restaurants could be developed. Also, the usefulness of geo-coded data in identifying clustering effects is highlighted. Originality/value: Existing location studies relate mostly to site selection criteria in the retailing industry while few have considered the evolution of restaurant locations in a specific geographic area. This paper offers a case study of Hamilton city and highlights the usefulness of GIS techniques in understanding locational patterns.
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In order to achieve more impact and efficiency on the route towards a circular economy, new business models are introduced in the value chain of construction. It is suggested that lease and performance contracts will stimulate producers to improve quality and lifetime of building products, thereby ameliorating use and reuse of products and their materials. This, since these companies know the origin and composition of the materials, and the history of use and service of the products. The advantages seem to be obvious: the user only pays for use and performance of the product e.g. light, energy, vertical transport or protection against water and wind. The producers remain the owners of products and resources, and have the possibility to reuse and recycle materials and products in an efficient manner. This requires that they provide service during the lifetime of the products, and have the obligation to take care of the perfor- mance of their products over a certain period of time.In the Netherlands these circular business models (CBMs) are already implemented at a small scale. The introduction of these models raises some fundamental questions however, which, ideally, need to be addressed before such models are implemented at a larger scale. The aim of this paper is on the one hand to describe some of these business models, and on the other hand to reflect on some fundamental questions that can be raised in relation to a shift of ownership of materials. What may be the consequences of this shift of ownership? What are the risks of agglomeration of building materials by larger companies? Among other things such a shift could potentially influence the diversity and flexibility of choice available for tenants and building owners. It may also limit future possibilities of SME’s in the supply chain of construction. Are there ways to minimize some of these risks if we decide to implement these business models at a large scale?
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Metropolitan Cebu, the third largest agglomeration in the Philippines with a population of approximately 3 million, faces significant challenges in managing domestic wastewater and solid waste. This mismanagement has led to the pollution of its water bodies, including the Mahiga Creek and the Butuanon River, the latter of which was declared dead in 1992 and can no longer support flora and fauna. Between 2017 and 2025, seven international River Challenge Climate Cafes were conducted by Dutch universities of Applied Sciences and Filipino universities . During these events, teams of young professionals assessed the upstream, midstream, and downstream stretches of Metro Cebu's rivers and evaluated the vulnerability of 12 urban poor communities living along these rivers. The primary aim of these rapid appraisals was to raise awareness among community members, local governments, and students, as well as to build capacity. Throughout the process, there was a shift from merely gathering data on pollution levels to engaging the community, identifying risks, and finding feasible solutions to mitigate these risks. Various methods were employed to measure water quality, river width, river discharge, flood heights, ecology, plastic waste pollution, and residents' perceptions. The results were shared online via Climatescan.org with the global climate adaptation community. The findings demonstrate that river challenges are effective tools for creating context-rich learning environments for students, with more than 250 participants. The River Challenge Climate Cafe enable young professionals, primarily with technical backgrounds, to gain firsthand field experience, exposure to environmental degradation, severe pollution, and vulnerable communities, thereby enhancing their environmental awareness. Additionally, the river scan challenge proves to be a valuable tool for increasing awareness of river pollution and promoting rehabilitation effortsHow to cite: Heikoop, R., Boogaard, F., Abrenica, B., Fornis, R., Borgonia, K., Ledesma, D., Nasara, J., Boer, E., and Oudendammer, T.: Enhancing Environmental Awareness Through River Challenges: A Case Study of Metropolitan Cebu, Philippines , 12th International Conference on Urban Climate, Rotterdam, The Netherlands, 7–11 Jul 2025, ICUC12-1052, https://doi.org/10.5194/icuc12-1052, 2025.
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Background: Multiple sclerosis often leads to fatigue and changes in physical behavior (PB). Changes in PB are often assumed as a consequence of fatigue, but effects of interventions that aim to reduce fatigue by improving PB are not sufficient. Since the heterogeneous nature of MS related symptoms, levels of PB of fatigued patients at the start of interventions might vary substantially. Better understanding of the variability by identification of PB subtypes in fatigued patients may help to develop more effective personalized rehabilitation programs in the future. This study aimed to identify PB subtypes in fatigued patients with multiple sclerosis based on multidimensional PB outcome measures. Methods: Baseline accelerometer (Actigraph) data, demographics and clinical characteristics of the TREFAMS-ACE participants (n = 212) were used for secondary analysis. All patients were ambulatory and diagnosed with severe fatigue based on a score of ≥35 on the fatigue subscale of the Checklist Individual Strength (CIS20r). Fifteen PB measures were used derived from 7 day measurements with an accelerometer. Principal component analysis was performed to define key outcome measures for PB and two-step cluster analysis was used to identify PB types. Results: Analysis revealed five key outcome measures: percentage sedentary behavior, total time in prolonged moderate-to-vigorous physical activity, number of sedentary bouts, and two types of change scores between day parts (morning, afternoon and evening). Based on these outcomes three valid PB clusters were derived. Conclusions: Patients with severe MS-related fatigue show three distinct and homogeneous PB subtypes. These PB subtypes, based on a unique set of PB outcome measures, may offer an opportunity to design more individually-tailored interventions in rehabilitation.
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