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This chapter focuses on strategies to initiate a shift in mobility behaviour away from private cars towards a combination of more environmentally friendly transport modes including public transport, ride- and car sharing or even completely carbon-free modes like walking and cycling. The requirement for such a shift is that people must be able to actually choose between different travelling options and combine them within an intermodal mobility network. Here, shared mobility has a considerable potential to fill the gap between public and individual transport options.

This chapter summarises results from different studies on shared mobility from the providers’, the users’ and the political perspective. The user’s perspective is based on an empirical study comparing car sharers’, car drivers’ and public transport users’ attitudes and mobility patterns.

The empirical findings from the case study have shown that shuttle trips by car in general, and to the train station in particular, are an important field of action for improving the environmental impact of intermodal trips. The study has also shown that car sharing enables people to live without a private car by using different transport modes for different purposes. As the majority of car sharers report needing a car only one to three times a month, they have a very small carbon footprint compared to the average car owner.

Mobility patterns are determined by local transport options as well as by personal routines. Hence, current changes due to new shared mobility options seem to have a considerable direct impact on how people organise their daily lives on the one hand and an indirect impact on their living costs on the other hand, since private cars have an important share of private household costs.

From an environmental perspective, any incentives to encourage people to choose alternative forms of transport over their private cars would seem to be particularly effective. Thus, understanding the behaviour and needs of multi- and intermodal travellers is an important step towards sustainable mobility. Acknowledging that most travellers still need a car every now and then, car sharing is an essential addition to public transport systems, supporting both public transport use and carbon-free mobility like walking and cycling.

The purpose of this paper is to clarify the correlations between amount of individual’s knowledge of a specific area and his/her visit pattern to point of interest (POI, interested places) located in the area.

This paper proposes a visit-frequency-based familiarity estimation method that estimates individuals’ knowledge of areas in a quantitative manner. Based on the familiarity degree, individuals’ visit logs to POIs are divided into a set of groups followed by analyzing the differences among the groups from various points of view, such as user preference, POI categories/popularity, visit time/date and subsequent visits.

Existence of statistically significant correlations between individuals’ familiarity to areas and their visit patterns is observed by our analysis using 1.4-million POI visit logs collected from a popular location-based social network (LBSN), Foursquare. There exist different skewness of the visit time and visited POI distribution/popularity with regard to the familiarity. For instance, users go to unfamiliar areas on weekends and visit POIs for cultural experiences, such as museums. A notable point is that the correlations can be detected even in the areas in home city, which have not been known so far.

This is the first in-depth work that studies both estimation of individuals’ familiarity and correlations between the familiarity and individuals’ mobility patterns by analyzing massive LBSN data. The methodologies used and the findings of this work can be applicable not only to human mobility analysis for sociology, but also to POI recommendation system design.

User-oriented seamless service handoff is prosperous in the ubiquitous computing environment. This paper aims to present an open architecture for the user-oriented seamless service handoff across heterogeneous platforms. The migration of service environment is the key to implement the user-oriented service handoff. A distributed service handoff scheme based on the binary sensor network and context-aware middleware has been proposed.

To validate this scheme, a test-bed has been constructed in the lab environment.

The experimental results show that the proposed scheme can reduce the service handoff delay compared to the centralized scheme.

The experimental results show that the scheme can reduce the delay of service handoff compared to the traditional centralized scheme.

The aim of this study is to propose a governance model and key performance indicators on how policymakers can contribute to a more accessible, inclusive and sustainable mobility within and across smart cities to examine sustainable urban mobility grounded on the rational management of public transportation infrastructure.

This study employed desk research methodology grounded on secondary data from existing documents and previous research to develop a sustainable mobility governance model that explores key factors that influence future urban policy development. The collected secondary data was descriptively analyzed to provide initiatives and elements needed to achieve sustainable mobility services in smart cities.

Findings from this study provide evidence on how cities can benefit from the application of data from different sources to provide value-added services to promote integrated and sustainable mobility. Additionally, findings from this study discuss the role of smart mobility for sustainable services and the application for data-driven initiatives toward sustainable smart cities to enhance mobility interconnectivity, accessibility and multimodality. Findings from this study identify technical and non-technical factors that impact the sustainable mobility transition.

Practically, this study advocates for the use of smart mobility and data-driven services in smart cities to improve commuters' behavior aimed at long-term behavior change toward sustainable mobility by creating awareness on the society and supporting policymakers for informed decisions. Implications from this study provide information that supports policymakers and municipalities to implement data-driven mobility services.

This study provides implications toward behavioral change of individuals to adopt a more sustainable mode of travels, increase citizens’ quality of life, improve economic viability of business involved in providing mobility-related services and support decision-making for municipalities and policymakers during urban planning and design by incorporating the sustainability dimension into their present and future developments.

This paper explores how urban transportation can greatly reduce greenhouse gas emissions and provides implications for cities to improve accessibility and sustainability of public transportation, while simultaneously promoting the adoption of more environmentally friendly means of mobility within and across cities. Besides, this study provides a detailed discussion focusing on the potential opportunities and challenges faced in urban environment in achieving sustainable mobility. The governance model developed in this study can also be utilized by technology startups and transportation companies to assess the factors that they need to put in place or improve for the provision of sustainable mobility services.

The purpose of this paper is to explore the role that mobile technologies play in mobile workers’ efforts to manage the boundaries between work and non-work domains. Previous theories of work-life boundary management frame boundary management strategies as a range between the segmentation and integration of work-life domains, but fail to provide a satisfactory account of technology’s role.

The authors apply the concept of affordances, defined as the relationship between users’ abilities and features of mobile technology, in two field studies of a total of 25 mobile workers who used a variety of mobile devices and services.

The results demonstrate that the material features of mobile technologies offer five specific affordances that mobile workers use in managing work-life boundaries: mobility, connectedness, interoperability, identifiability and personalization. These affordances persist in their influence across time, despite their connection to different technology features.

The author found that mobile workers’ boundary management strategies do not fit comfortably along a linear segmentation-integration continuum. Rather, mobile workers establish a variety of personalized boundary management practices to match their particular situations. The authors speculate that mobile technology has core material properties that endure over time. The authors surmise that these material properties provide opportunities for users to interact with them in a manner to make the five affordances possible. Therefore, in the future, actors interacting with mobile devices to manage their work-life boundaries may experience affordances similar to those the authors observed because of the presence of the core material properties.

New mobility services, referred to here as car sharing services with electric vehicles fuelled by renewable energies, could serve as an essential part of energy and climate strategies to lessen the impact of transport. However operating a car sharing scheme with electric vehicles is more expensive and offers users less autonomy than car sharing powered by internal combustion engines. Thus municipalities and operators need to answer one critical question: how to identify and address target groups to make the scheme successful?

We focus on user requirements and attitudes towards services that integrate electric vehicles and public transport. Firstly we argue, based on an extensive literature analysis, that attitude-based market segmentation is crucial for a successful implementation of integrated e-mobility services. In the literature review we compare 23 empirical studies that employ a segmentation approach concerning their content and methodologies. Secondly, we address this need by presenting a methodology to derive attitude-based mobility typologies developed during a two-year field trial of an e-car sharing service in Berlin (Germany).

We share results from a representative market segmentation survey in Berlin, Frankfurt, Hamburg and Munich (n = 2,400). Among the six clusters, six attitude-based mobility typologies, we separated three groups specifically inclined to use mobility services: ‘the innovative technology-loving multioptionals’ (20% of the sample), ‘flexible car-lovers’ (21%) and ‘the ecological bicycle and Public Transit-lovers’ (17%).

Attitude-based approaches like the one used in this study could support the development of integrated mobility services by adding the view of a specific target group. A range of approaches exist which use different kinds of item batteries to measure mobility related attitudes with the aim to develop target group specific services.

This study will provide essential information for the development of policies and interventions in support of new mobility services.

Although the use of e-book readers has become increasingly widespread, there are few studies to evaluate e-book user behavior and satisfaction with commercial e-book stores, and even fewer approaches from the perspective of task-technology fit (TTF). In order to fill this gap, the purpose of this paper is to adopt the TTF theory to explore the factors that affect the behavior satisfaction of users of commercial e-book stores.

A survey was conducted to collect data from 183 e-book users. Data were collected from an online survey. The results were analyzed via the structural equation model.

The results show that functional service, mobility, convenience, and searching task are the important factors that influence users’ TTF behavior. Moreover, TTF may improve user satisfaction, flow, and scanpath. Finally, satisfaction was affected by TTF, scanpath, and flow factors. An analysis of the research explained 46 percent of the variance for the users’ TTF, and 59 percent of the variance for satisfaction of using the e-book store.

The research model modifies utility and performance from TTF theory in order to focus on individual flow, scanpath, and user satisfaction measurement because general e-book store users are not typically concerned about work performance issues for their leisure activities. These results provide a new perspective to e-book researchers and can help e-book store managers and designers in making policies and designing platforms.

The purpose of this paper is to verify whether the horizontal grab bar for the toilet and the bathtub suggested by the Code du bâtiment du Québec conform to users’ preferences. Perceived effort, comfort and safety were considered.

In total, 31 adults and seniors using manual and powered wheelchairs were asked to test different grab bar configurations for both the toilet and bathtub. A questionnaire was designed to evaluate participants’ perceptions and preferences after the trials with each grab bar. Effort was measured using the ten-level Borg scale, while participants’ comfort and safety were assessed with a five-point Likert scale. Participants were finally invited to express an overall personal preference between the two grab bar used in each setup.

Participants showed preference for an L-shaped grab bar for the toilet, and a horizontal grab bar for the bathtub. The authors’ results differ from the recommendations of the barrier-free design standards of the province of Quebec’s construction code, which states that horizontal grab bars should be used for the toilet and bathtub.

This study suggest that despite the limited sample, there is an undeniable need for testing norms for public spaces, whenever is possible and has a direct effect on end-users, before publishing them.

Routing in ad hoc networks faces significant challenges due to node mobility and dynamic network topology. In this work we propose the use of mobility prediction to reduce the search space required for route discovery. A method of mobility prediction making use of a sectorized cluster structure is described with the proposal of the Prediction based Location Aided Routing (P‐LAR) protocol. Simulation study and analytical results of P‐LAR find it to offer considerable saving in the amount of routing traffic generated during the route discovery phase.

The purpose of this paper is to present an approach to incorporating mobility into continuous manufacturing following the advent of Industry 4.0 (I4.0).

The investigation is based on a year-long canonical action research into a paper-manufacturing company implementing core I4.0 technologies.

The findings show how to: classify manufacturing mobility strategy based on the dimensions of team, task and control; design business processes enabled by mobile cyber–physical resources; involve different stakeholders in modeling mobility; and create a comprehensive guide to assist in implementing the mobile digitalization required by I4.0.

Despite the complexity, richness and depth of the insights obtained in this research for mobility management in process industries, this inquiry was conducted in a single organization.

As the fourth industrial revolution encourages decentralization and increased interaction between humans and machines, this paper presents a model to capture the mobility potential in manufacturing. The tools proposed in this research can be used to steer investments in industry transformations that fuse the physical and digital worlds, overcoming mobility constraints.

Theoretically, this paper expands the concept of manufacturing mobility in I4.0. In practice, it proposes a participative roadmap to assist technology management in increasingly decentralized environments, identifying the intertwined network of cyber–physical actors, processes and services.