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How do we make sense of urban life in the past? What do we do when we study urban history, and to what extent do our methods fully capture the complexities of historical city living? These are crucial questions for any scholar interested in the historical dimensions of urban experience. Notwithstanding the interest of most urban historians in the relationship between the physical form of urban space and its experience by inhabitants and visitors, very few scholars have written histories that systematically integrate these two areas of inquiry. In this chapter, we argue that such research requires a method and an accompanying tool that can analyze historical urban life in a more integrated, holistic way. We propose a way forward by introducing the Time Machine platform as a scalable data visualization and analysis tool for researching everyday urban experience across space and time. To illustrate the potential we focus on a case study: the area of the Bloemstraat in early modern Amsterdam. Unpacking a section of the Bloemstraat, house by house and room by room, we show how the Time Machine forms an instrument to connect spatial layouts to the arrangement of objects and to the practical and social use of the space by the inhabitants and visitors. We also sketch how this tool illuminates more dynamic spatial and temporal practices such as how people, goods, and activities are connected to locations in the wider city and beyond.

The conceptualization of smart emerged by technological advancements penetrated the tourism industry with the pace of globalization transformed the destinations providing digitalized products. Even though smart tourism destinations are initiated by advanced technologies, the notion evolved in embracing Sustainable Development Goals (SDGs) project economic, social, and environmental proliferation. A tourism destination is counted as “smart” which provides advanced technologies to improve the quality of tourists' experiences and enhance the residents' quality of life. The structure of a smart tourism destination is established on four basic pillars that cover technology, innovation, accessibility, and sustainability issues. Designating the notion of smart into tourism destinations is extremely vital since the shifting paradigm of tourists’ demands concern sustainability. The development of smart in a tourism destination is a crucial concern for destination management organizations (DMOs) integrating key destination components with the dimensions of a smart city to enhance the tourists' satisfaction and competitiveness of the destination. Therefore, one aim of this chapter is to elucidate the association between key destination components with the dimensions of a smart city to reveal the related smart tourism destination applications. Moreover, cultural heritage in smart tourism destinations forms an important part of tourism both with its tangible and intangible resources which have been involved in the emergent era of digitalization inevitably with all parties and processes. Hence, another aim of this chapter is to examine the dimensional shift in cultural heritage tourism within the framework of digitalization. Sharing cases of digitization of cultural heritage from different parts of the world, this chapter also reflects that it is inevitable to benefit from digitization and ICTs in order to reach the SDGs on the scale of smart tourism destinations. Analysis of academic publications and the national and international reports of the related authorities sums the methodology used to conclude the study with suggestions of future research paths to develop the field.

The ancient monuments of Taormina represent one of the richest archaeological heritage of Sicily. Some of them, such as the Hellenistic-Roman Theatre, the odeum, the so-called Naumachia, are annually frequented by thousands of tourists, while others remain practically unknown to the general public. The urban fabric of the Hellenistic-Roman period of which these monuments were part was profoundly modified by the transformations that the town has known, having grown on itself almost without interruption until today. For these reasons, as in many other cases of cities with continuity of occupation, ancient monuments are perceived by the visitor as decontextualized relics, immersed in a very suggestive landscape, but very different from the original one. Usually the didactic apparatus available to visitors is not able to give knowledge of the original relations between monument and city. Decades of topographical and archaeological research have allowed us to identify the ancient urban layout of Taormina, and it is therefore possible today to take up the challenge of offering the public a deeper and more complete knowledge of its archaeological monuments in their ancient context. In fact, thanks to modern technologies, it is now possible to share the results of archaeological research with a wider public and to virtually recreate the ancient urban landscape. This contribution intends to present the solutions made available by these technologies to define a new strategy to enhance the city's archaeological heritage and to offer the public a truly immersive experience in its history.

The concept of touristic space is continually evolving, due to the advent of new technologies. Today, physical space and virtual space are interwoven, creating a phenomenon that can be described using the term ‘phygital’. The perception of touristic space as well as the interaction with it has been altered by phygital appearances and changing travel behaviour. While interaction with the touristic space previously only occupied a physical dimension, virtual information now enriches all stages of the customer journey (CJ). Hence, this chapter deals with new technologies, analysing their impact on the perception of touristic space for the traveller throughout the whole CJ. Thereby Augmented Reality and Virtual Reality are cited as examples of state-of-the-art technologies, which wield a direct perceptional impact, as they have the power to blend together one’s perception of real and virtual space.

Purpose — To provide a theoretical background to understand current local search engines as an aspect of specialized search, and understand the data sources and used technologies.

Design/methodology/approach — Selected local search engines are examined and compared toward their use of geographic information retrieval (GIR) technologies, data sources, available entity information, processing, and interfaces. An introduction to the field of GIR is given and its use in the selected systems is discussed.

Findings — All selected commercial local search engines utilize GIR technology in varying degrees for information preparation and presentation. It is also starting to be used in regular Web search. However, major differences can be found between the different search engines.

Research limitations/implications — This study is not exhaustive and only uses informal comparisons without definitive ranking. Due to the unavailability of hard data, informed guesses were made based on available public interfaces and literature.

Practical implications — A source of background information for understanding the results of local search engines, their provenance, and their potential.

Originality/value — An overview of GIR technology in the context of commercial search engines integrates research efforts and commercial systems and helps to understand both sides better.

This chapter proposes a methodology to develop a tool aimed at helping tourists moving sustainably in Rome, focusing on the “last mile” of their transport experience, that is, walking trips. The methodology consists of the development of a stated preference survey, where tourists’ preferences are elicited with respect to alternative configurations of walking paths. This is performed by taking into consideration path accessibility, interference with other modes of transport, and thermal comfort aspects. Besides, georeferenced data are collected and systematized with the overall aim to create a geographical information system of the first municipality of Rome with useful information to evaluate the status of the walking network. The results of the analysis help to understand the relevant factors affecting tourists’ walking behavior. Additionally, the chapter provides the preliminary considerations needed for the definition of a “tourist walking satisfaction indicator” related to their walking experience with two aims: first, it provides useful information for policy-makers on how to design and manage walking networks; second, it provides a framework for a tourist traveler information system (a “StreetsAdvisor”) that can guide them in the city on the base of their heterogeneous preferences.