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| 001 | EBC5573532 | ||
| 003 | MiAaPQ | ||
| 005 | 20210105163023.0 | ||
| 007 | cr cnu|||||||| | ||
| 008 | 201228s2018 xx o ||||0 eng d | ||
| 020 |
_a9780128126486 _q(electronic bk.) |
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| 020 | _z9780128126479 | ||
| 035 | _a(MiAaPQ)EBC5573532 | ||
| 035 | _a(Au-PeEL)EBL5573532 | ||
| 035 | _a(OCoLC)1065410411 | ||
| 040 |
_aMiAaPQ _beng _erda _epn _cMiAaPQ _dMiAaPQ |
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| 050 | 4 | _aHE151 .A385 2019 | |
| 082 | 0 | _a388 | |
| 100 | 1 | _aAguilera, Anne. | |
| 245 | 1 | 0 |
_aUrban Mobility and the Smartphone : _bTransportation, Travel Behavior and Public Policy. |
| 264 | 1 |
_aSan Diego : _bElsevier, _c2018. |
|
| 264 | 4 | _c�2019. | |
| 300 | _a1 online resource (224 pages) | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 505 | 0 | _aFront Cover -- URBAN MOBILITY AND THE SMARTPHONE -- URBAN MOBILITY AND THE SMARTPHONE -- Copyright -- CONTENTS -- CONTRIBUTORS -- ABOUT THE AUTHORS -- CONTEXT (PREFACE) -- OUR APPROACH TO THE ISSUES AT HAND -- WHO MIGHT FIND THIS BOOK HELPFUL? -- CHAPTER CONTENT -- REFERENCES -- ACKNOWLEDGMENTS -- 1 - Smartphone and Individual Travel Behavior -- INTRODUCTION -- 1. USES OF TIME AND ACTIVITY SCHEDULES -- 1.1 No Fall in Physical Displacements -- 1.2 Complex Interactions Between ICT and Mobility -- 1.3 What Are the Specific Impacts of Mobile ICT? -- 1.3.1 Microcoordination and ``Flexible Alignment'' -- 1.3.2 The Role of Mobility Support Apps -- 1.3.3 New Travel and ``Optimized'' Travel -- 1.3.4 The Limits of Schedule Flexibility -- 2. ON THE MOVE ACTIVITIES, TRANSPORT TIME, AND QUALITY OF SERVICE OF TRANSPORT MODES -- 2.1 Exploiting Transport Time -- 2.2 Quality of Service and Perception of Transport Modes -- 2.3 A Limited Impact on Travel Behavior? -- 3. NEW MOBILITY SERVICES -- 3.1 Typology of Shared Mobility Services and Potential Impact on Mobility -- 3.2 Smartphone and Shared Mobility -- 3.3 Adoption of the New Services and Influence on Mobility Practices -- 3.3.1 Short-Distance Mobility Sharing -- 3.3.2 Long-Distance Ridesharing -- CONCLUSION -- REFERENCES -- 2 - New Mobility Services -- INTRODUCTION -- 1. CHANGES IN THE URBAN MOBILITY SERVICES LANDSCAPE -- 1.1 New (or Renewed Forms of) Mobility Services: An Accelerating Trend of Diversification -- 1.2 New Players With Strong Momentum -- 2. DECODING THE CHANGES IN URBAN MOBILITY SERVICES: WHAT IS REALLY BEHIND THE ``SHARED MOBILITY'' CONCEPT? -- 2.1 The ``Sharing Economy'' as It Stands, in Theory -- 2.1.1 The Price of Success -- 2.1.2 From the ``Sharing Economy'' to ``Shared Mobility'' -- 2.2 Mapping New Mobility Services Along Three Core Dimensions of the Sharing Economy. | |
| 505 | 8 | _a2.2.1 The Community-Based Economy: A Fertile Ground for Service Innovations? -- 2.2.2 The Access-Based Economy: A Tricky Transition From Ownership to ``Usership'' and From Products to Product-Service Systems -- 2.2.3 The Platform Economy: The Real Tipping Factor -- 2.3 What do Smartphones and Applications Really Do for Shared Mobility? -- 2.3.1 The Power of Right-Here-Right-Now -- 2.3.2 The Ease of All-In-One -- 2.3.3 The Safety of Total Tracking -- 3. WHERE IS THE COMPETITION GOING? -- 3.1 Spoiler Alert: Predicting the Future Is Difficult -- 3.2 Acknowledging Current Concerns About the Competition Between Old and New … -- 3.2.1 Ride-sourcing Versus Taxis: the Combat Hogging the Spotlight -- 3.2.2 Ride-Sourcing Versus Public Transit: A War Brewing? -- 3.3 … and Looking Beyond -- 3.3.1 Convergences in the Business Models -- 3.3.2 Convergences in the Operational Models of the More Flexible Mobility Services -- 4. LOOKING FURTHER DOWN THE ROAD … WHAT QUESTIONS REMAIN FOR THE FUTURE? -- 4.1 Outstanding Issues -- 4.2 Is the Fight for Data Really the Endgame? -- REFERENCES -- 3 - Using Mobile Phone Data to Observe and Understand Mobility Behavior, Territories, and Transport Usage -- INTRODUCTION -- 1. WHAT ARE MOBILE PHONE DATA? -- 1.1 Diversity of Datasets Generated by Mobile Phones -- 1.2 Smartphones as Multisensing Tools to Measure Location, Motion, and Local Environment -- 2. MAKING MOBILE PHONE DATA FIT FOR MOBILITY ANALYSIS -- 2.1 Situating Mobile Phone Data-Based Analytics in the Mobility Monitoring Toolbox -- 2.2 Six Steps from Mobile Phone Use to the Use of Mobile Phone Data -- 2.3 The Inference of Stays, Travel Modes, Activities, and Individual Characteristics -- 2.3.1 Clustering Points to Recognize Stays and Anchor Points -- 2.3.2 Travel Mode Inference at Leg and Trip Level -- 2.3.3 Inference of Activities and Trip Purposes. | |
| 505 | 8 | _a2.3.4 Inference of Social Characteristics at Individual Level -- 3. APPLICATIONS OF MOBILE PHONE DATA TO TRAVEL BEHAVIOR ANALYSIS -- 3.1 Patterns of Travel Behavior -- 3.1.1 Identifying Individual Patterns Over Time -- 3.1.2 Determinants of Collective Patterns -- 3.2 Medium and Long-term Evolution of Individual Behavior -- 3.3 Mobility of Nonresidents -- 4. APPLICATIONS OF MOBILE PHONE DATA TO TERRITORIAL ANALYSIS -- 4.1 Presence in Space and Time -- 4.2 Detection of Geographical Objects: Hotspots, City Limits, and City Networks -- 4.3 Qualifying Areas Through Frequentation -- 4.4 Mobility Within Buildings or Stations -- 5. APPLICATIONS OF MOBILE PHONE DATA TO THE TRANSPORT SYSTEM -- 5.1 The Traffic Characterization of Transport Elements: Stations, Legs, and Quality of Service -- 5.2 Characterisation of OD Demand -- 5.3 Transit System Management -- 5.3.1 Real-Time Information Service -- 5.3.2 Transit Operation, Monitoring, and Management -- 5.3.3 Network Management -- 5.3.3 Parking Management -- 5.4 On Path-Making Along Modal and Multimodal Networks -- 5.4.1 Path Flows -- 5.4.2 Path Choices and Decision-Making Behaviors -- 6. CHALLENGES ASSOCIATED WITH THE USE OF MOBILE PHONE DATA -- 6.1 Inference Techniques and Their Limits -- 6.2 The Challenge of Finding Validation Data and Estimating Representativeness -- 6.2.1 Validation of Inferences -- 6.2.2 Validation of Synthesized Information -- 6.2.3 Representativeness -- 6.3 Challenges for Participant Recruitment and Social Acceptability -- 6.3.1 Participant Recruitment -- 6.3.2 Social Acceptability -- 7. POTENTIAL INFLUENCE OF MOBILE PHONE DATA ON MOBILITY STAKEHOLDERS -- 7.1 Mobile Phone Data-Based Analytics: New Paradigms in the Field of Mobility Studies? -- 7.2 Mobile Phone Data-Based Analytics: A Revolution for Managing and Living Mobility? -- 7.2.1 Stakeholders' Interests. | |
| 505 | 8 | _a7.2.2 Empowered Mobility Systems -- CONCLUSION -- ANNEXE -- REFERENCES -- 4 - Implications for Public Policy -- INTRODUCTION -- 1. NEW PERSPECTIVES FOR TRANSPORT NETWORK MANAGEMENT AND TRANSPORT PLANNING -- 1.1 Transport Network Management -- 1.2 Transport Planning -- 2. PUBLIC CHALLENGES ASSOCIATED WITH THE EMERGENCE OF NEW TRANSPORT MODES AND MOBILITY SERVICES -- 2.1 A New Frame of Reference for Sustainable Transport Policies -- 2.2 Public Action in Response to the New Mobility Services -- 2.2.1 Open Data in the Transport Field -- 2.2.2 The Car, Public Transport, and Shared Transport Services -- 3. THE NEW CHALLENGES OF INTEGRATED MOBILITY PLATFORMS AND MOBILITY-AS-A SERVICE -- 3.1 The Gradual Digital Integration of Mobility Services by Private Actors -- 3.2 The Challenges to Public Authorities of Digitally Integrated Mobility Service and the Maas Concept -- 3.2.1 Challenges and Opportunities -- 3.2.2 The Maas Concept -- 3.2.3 Implementation of MaaS -- CONCLUSION -- REFERENCES -- 5 - Impacts and Challenges for Developing Countries -- INTRODUCTION -- 1. RECENT TRENDS IN SMARTPHONE OWNERSHIP AND TRAVEL BEHAVIOR IN DEVELOPING COUNTRIES -- 1.1 Smartphone Ownership and Internet Access -- 1.2 Travel Behavior -- 2. NEW (SMARTPHONE-ENABLED) MOBILITY SERVICES -- 2.1 The International Ride-hailing Revolution Reaches the Cities of Developing Countries -- 2.2 Developing Countries Are Breeding Ride-hailing Champions -- 2.2.1 Actors from Large Emerging Economies Have Mostly Remained Focused on Their Domestic Market -- 2.2.2 Some Other Actors From Developing Countries Have Opted for Regional Development Strategies -- 2.2.3 Additional Actors Competing for the Ride-Hailing Market of Cities in Developing Countries -- 2.3 Developing Countries Are Pioneers in the Diversification of Ride-hailing Formats and Options. | |
| 505 | 8 | _a2.4 Developing Countries Were Also Pioneers in Free-Floating Bikesharing -- 3. CHALLENGES AND OPPORTUNITIES OF SMARTPHONES FOR URBAN MOBILITY POLICY-MAKING IN DEVELOPING ECONOMIES -- 3.1 Exacerbated Challenges -- 3.2 Amplified Opportunities -- 3.2.1 Building Up Knowledge and Expertise Relating to the Mobility System -- 3.2.2 Improving the Level of Service Provided by Public Transit and Paratransit Services -- 4. TAKING A STEP BACK … AND EXAMINING OUTSTANDING ISSUES -- 4.1 Global Trends Versus Local Adaptations -- 4.2 Will Smartphones Help Make Urban Mobility in Developing Countries Smart? -- 4.3 Will Smartphones Help Make Urban Mobility in Developing Countries Sustainable? -- REFERENCES -- INDEX -- A -- B -- C -- D -- E -- F -- G -- H -- I -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- Back Cover. | |
| 588 | _aDescription based on publisher supplied metadata and other sources. | ||
| 590 | _aElectronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2020. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. | ||
| 650 | 0 | _aTransportation-Technological innovations.. | |
| 650 | 0 | _aTransportation-Social aspects.. | |
| 650 | 0 | _aTransportation and state. | |
| 655 | 4 | _aElectronic books. | |
| 700 | 1 | _aBoutueil, Virginie. | |
| 776 | 0 | 8 |
_iPrint version: _aAguilera, Anne _tUrban Mobility and the Smartphone : Transportation, Travel Behavior and Public Policy _dSan Diego : Elsevier,c2018 _z9780128126479 |
| 797 | 2 | _aProQuest (Firm) | |
| 856 | 4 | 0 |
_uhttps://ebookcentral.proquest.com/lib/kliuc-ebooks/detail.action?docID=5573532 _zClick to View |
| 942 |
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