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This paper's main objective emphasizes the importance of waterfront design in coastal cities. It reveals that a location is associated with the activities it hosts to become attractive for people or, in other words, to be a destination. In this respect, it proposes students' concept projects for the selected waterfront field study in Istanbul.

This study's conceptual framework is designed according to the qualities compiled from the place-diagram and the power of 10+ (plus) concepts of the PPS (project for public spaces). Accordingly, a fieldwork study based on the qualitative and quantitative research method was conducted as fieldwork in the Istanbul Sarayburnu waterfront, where historical and touristic sight-seeings of the Golden Horn meet with the Bosphorus coastal line. In addition to photo-video recordings, survey questions were also prepared during the field study.

Survey questions inquiries multi questions searching for the place-diagram qualities provide suggestions of 90 people who responded in situ. Results of the case study highlight six alternative proposal projects for the fieldwork prepared based on the power of 10+ concept by the third grade students of the School of Architecture of Istanbul Sabahattin Zaim University (IZU). Based on the survey questions and literature review findings, 10 sub-spatial qualities of waterfronts were disaggregated at the end of the study.

The power of 10+ concept in the study provides a gauge for architects and urban planners; it gives them an excellent tool for assessing the quality of public spaces for placemaking in waterfronts.

Previous studies have generally been based on the PPS's place-diagram qualities with little mention of the interaction with the power of 10+ concept in placemaking. The proposed sub-qualities in the paper's conclusion contribute to architects and urban planners considering a model approach derived from those PPS concepts.

This study aims to propose a new method to predict retail store performance using publicly available satellite imagery data and machine learning (ML) algorithms. The goal is to provide manufacturers and other practitioners with a more accurate and objective way to assess potential channel members and mitigate information asymmetry in channel selection and negotiation.

The authors developed an open-source approach using publicly available Google satellite imagery and ML algorithms. A computer vision algorithm was used to count cars in store parking lots, and the data were processed with a CNN. Linear regression and various ML algorithms were used to estimate the relationship between parked cars and sales.

The relationship between parked cars and sales was nonlinear and dependent on the type of channel member. The best model, a Stacked Ensemble, showed that parking lot occupancy could accurately predict channel member performance.

The proposed approach offers manufacturers a low-cost and scalable solution to improve their channel member selection and performance assessment process. Using satellite imagery data can help balance the marketing channel planning process by reducing information asymmetry and providing a more objective way to assess potential partners.

This research is unique in proposing a method based on publicly available satellite imagery data to assess and predict channel member performance instead of forward-looking sales at the firm and industry levels like previous studies.

The aim of this article is to develop an architectural pedagogy for the Anthropocene. The author reflect on a project within a postgraduate architectural theory module to address the following questions: How can architectural pedagogy articulate critical modes of production that contribute to quality education in the time of the Anthropocene? What are the ideas, values and practices needed?

The method employed is close reading of texts focussed on three areas: critical theory and pedagogy, political theory and the Anthropocene, and architectural theory and typological urbanism. These theoretical narratives are placed in dialogue with a reflection on a design research pedagogical project. The theoretical narratives and design research project seek to articulate the multidimensionality of critical education. The methodology enacted in the paper performs the pedagogy of the classroom.

The study yields compelling conclusions regarding the potential for rethinking the idea of typology under the pressure of the Anthropocene and of critical pedagogy combined with design research to take positions on urgent political and social matters. The author concludes with a toolkit of concepts, values and knowledge practices.

At a time when disciplines tend towards discrete specialisation, while the need for knowledge production is ever more transdisciplinary, this paper develops inventive techniques and conceptual frameworks for supporting approaches where different fields and ideas make contact as a collective task in the era of the Anthropocene. It updates theories of typology to address contemporary pressures.

Presently, existing electric car sharing platforms are based on a centralized architecture which are faced with inadequate trust and pricing issues as these platforms requires an intermediary to maintain users’ data and handle transactions between participants. Therefore, this article aims to develop a decentralized peer-to-peer electric car sharing prototype framework that offers trustable and cost transparency.

This study employs a systematic review and data were collected from the literature and existing technical report documents after which content analysis is carried out to identify current problems and state-of-the-art electric car sharing. A use case scenario was then presented to preliminarily validate and show how the developed prototype framework addresses the trust-lessness in electric car sharing via distributed ledger technologies (DLTs).

Findings from this study present a use case scenario that depicts how businesses can design and implement a distributed peer-to-peer electric car sharing platforms based on IOTA technology, smart contracts and IOTA eWallet. Main findings from this study unlock the tremendous potential of DLT to foster sustainable road transportation. By employing a token-based approach this study enables electric car sharing that promotes sustainable road transportation.

Practically the developed decentralized prototype framework provides improved cost transparency and fairness guarantees as it is not based on a centralized price management system. The DLT based decentralized prototype framework aids to orchestrate the incentivize monetization and rewarding mechanisms among participants that share their electric cars enabling them to collaborate towards lessening CO₂ emissions.

The findings advocate that electric vehicle sharing has become an essential component of sustainable road transportation by increasing electric car utilization and decreasing the number of vehicles on the road.

The key novelty of the article is introducing a decentralized prototype framework to be employed to develop an electric car sharing solution without a central control or governance, which improves cost transparency. As compared to prior centralized platforms, the prototype framework employs IOTA technology smart contracts and IOTA eWallet to improve mobility related services.

Beyond the idea of the city as ‘an abstract terrain for business operations’ (Greenfield, 2013), this chapter analyses alternative constructions and research processes for engaging with ideas of smart cities and digital spatiality, drawing upon the author's arts-based research making virtual reality installations. The chapter describes workshops in which participants have navigated virtual and analogue city spaces, discussing their own ideas of smartness and the mapping of cities. These workshops took place off and online, collaboratively framing intelligences beyond the extractivist logic of surveillance and the Internet of things. In the making of this work, questions of what we mean by smartness and futurity were materialised. The chapter expands on these projects and questions, asking what kinds of design prevents social equality (Ansari, 2020; Irani, 2015), who is left out of these constructs and why? The author draws upon this work in relation to Waterford, examining how the specific historical and contemporary contexts and topography of the city informs a situated approach to technologies of representation. Rivers, from the Thames to the ‘artificial’ Huangpu, the Suir and John's River in Waterford, in their contingency and ontological instability, run through the chapter as a situating, post-human presence.

This paper aims to examine accessibility in the built environment and tries to determine the physical and attitudinal barriers affecting Persons with Visual Disabilities' (PWVDs) experience on the University of Jordan (UJ) campus.

This is a descriptive mixed-methods study, based on the following: data collection regarding PWVDs' services at UJ; semi-structured interviews with PWVDs and with some employees at UJ; observations, photographs and direct measurements during campus tours; accompanying one student with poor eyesight when navigating through UJ campus; then, analyzing data in light of the national code's accessibility checklist.

UJ campus suffers from many shortcomings regarding accessibility; these include an insufficient pedestrian environment, limited tactile paths, low illuminance levels in lecture halls and other inadequate services. Besides, there are many infringements on PWVDs' paths, due to either new expansions or unconscious behavior. Moreover, interpersonal barriers prevent PWVDs from using assistive equipment and accommodation. The study concludes that preserving pedestrians' rights, monitoring new expansions, renovating the UJ campus in accordance with national codes and international standards, improving PWVDs services and awareness-raising programs are needed to ensure accessibility for PWVDs.

New legislation has been recently passed regarding accessibility in Jordan, and – on the UJ campus – the first phase of tactile paving has been installed. This paper is believed to be the first of its kind to evaluate PWVDs' services following the new changes. The study's methodology might also be deemed useful to stakeholders when enabling the built environment.

This research proposes to organise and distil this massive amount of data, making it easier to understand. Using data mining, machine learning techniques and visual approaches, researchers and managers can extract valuable insights (on guests' preferences) and convert them into strategic thinking based on exploration and predictive analysis. Consequently, this research aims to assist hotel managers in making informed decisions, thus improving the overall guest experience and increasing competitiveness.

This research employs natural language processing techniques, data visualisation proposals and machine learning methodologies to analyse unstructured guest service experience content. In particular, this research (1) applies data mining to evaluate the role and significance of critical terms and semantic structures in hotel assessments; (2) identifies salient tokens to depict guests' narratives based on term frequency and the information quantity they convey; and (3) tackles the challenge of managing extensive document repositories through automated identification of latent topics in reviews by using machine learning methods for semantic grouping and pattern visualisation.

This study’s findings (1) aim to identify critical features and topics that guests highlight during their hotel stays, (2) visually explore the relationships between these features and differences among diverse types of travellers through online hotel reviews and (3) determine predictive power. Their implications are crucial for the hospitality domain, as they provide real-time insights into guests' perceptions and business performance and are essential for making informed decisions and staying competitive.

This research seeks to minimise the cognitive processing costs of the enormous amount of content published by the user through a better organisation of hotel service reviews and their visualisation. Likewise, this research aims to propose a methodology and method available to tourism organisations to obtain truly useable knowledge in the design of the hotel offer and its value propositions.

This study aims to adapt analytical hierarchy process (AHP) for choosing the optimal location for sport facilities. The location of a sports facility contributes significantly to its potential success or failure. Therefore, factors affecting such location-related decisions must be carefully studied and prioritized in a systematic fashion.

This study develops a seven-step framework which may be used to decide on a location from among several alternatives. Through an extensive literature review, this study first determines the factors affecting sports facility location selection and then applies AHP steps by asking several sports facility owners and managers to assess importance of the criteria.

This study determined the sport facility location selection factors as “ease of access,” “facility features,” “financial issues,” “neighborhood” and “market,” and further divided each factor into its subfactors. To illustrate the framework of using AHP as a tool to select the right location for sport facilities, we chose three candidate locations and scored them according to the calculated weight scores of the criteria, identifying the strengths and weaknesses of each location.

This study provides several managerial implications that may guide sport facility investors in choosing the right location.

This study presents a method to evaluate different factors for different actors of sport industry in a systematic way. Private investors can use the method for securing sufficient number of potential customers in a well-selected location. Government institutions and public policymakers can use the method, possibly with different sets of factors, to decide on the location of public sports facilities to maximize the number of visitors or to reach disadvantaged or underserved populations.

This framework of AHP method can help private and public investors and policymakers evaluate and make the optimal decision for choosing sports facility locations. This study contributes both to sport management theory and practice as well as to operation management literature. This study also refined the scattered factors in the literature of selecting a sport facility site in a more understandable and adaptable way.

The purpose of this paper is to introduce a critical framework to analyse how “smart” plays out in tourism places. Moving from a recognition of the strategies, expected impacts and imageries of Smart City, the authors engage with the mobilities literature to identify pitfalls in the quest of “smartening up” cities for hypermobile populations.

The study adopted a set of geoanalytical techniques to establish the potential relationship between the territorial upgrade of mobility and the socio-economic change processes the city of Barcelona is experiencing.

The paper suggests the effect of “smart” in cities could indeed be one of economic recovery; however, one triggering fundamental transformation of the social fabric of the city, whose most evident facet is the creation of globalised functional enclaves that may be forcefields of exclusion for the most vulnerable populations.

This paper contributes to a new stream of critical research on “smart” with a strong focus on the power of mobilities and mobility systems, whose digital enhancement plays out as a leveraging agent of new place connections and negotiations for short-term populations, but at the same time, may exclude disadvantaged subjects in their capacity to access and afford the system network.