The architecture of complexity in the relationships between information and communication technologies and travel: A review of empirical studies
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[1] Kate Smith-Miles,et al. A transformation technique for the clustered generalized traveling salesman problem with applications to logistics , 2020, Eur. J. Oper. Res..
[2] Arnab Jana,et al. Interrelationships between ICT, social disadvantage, and activity participation behaviour: A case of Mumbai, India , 2019, Transportation Research Part A: Policy and Practice.
[3] Moshe Ben-Akiva,et al. Context-aware stated preferences with smartphone-based travel surveys , 2019, Journal of Choice Modelling.
[4] Arnab Jana,et al. Multitasking during Travel in Mumbai, India: Effect of Satiation in Heterogeneous Urban Settings , 2019, Journal of Urban Planning and Development.
[5] Patricia L. Mokhtarian,et al. How do activities conducted while commuting influence mode choice? Using revealed preference models to inform public transportation advantage and autonomous vehicle scenarios , 2019, Transportation Research Part A: Policy and Practice.
[6] P. Mokhtarian,et al. What drives the use of ridehailing in California? Ordered probit models of the usage frequency of Uber and Lyft , 2019, Transportation Research Part C: Emerging Technologies.
[7] Hepu Deng,et al. A correlation analysis of information use, social networks and cooperation consciousness in travel behaviors , 2019, Transportation Research Part F: Traffic Psychology and Behaviour.
[8] Yuchuan Du,et al. An Advanced Parking Navigation System for Downtown Parking , 2019, Networks and Spatial Economics.
[9] P. Mokhtarian,et al. What influences travelers to use Uber? Exploring the factors affecting the adoption of on-demand ride services in California , 2018, Travel Behaviour and Society.
[10] Yusuke Hara,et al. Behavioral mechanism design for transportation services: Laboratory experiments and preference elicitation cost , 2018, Transportation Research Part B: Methodological.
[11] U. Lachapelle,et al. Telecommuting and sustainable travel: Reduction of overall travel time, increases in non-motorised travel and congestion relief? , 2018 .
[12] Arnab Jana,et al. Impact of ICT on multitasking during travel and the value of travel time savings: Empirical evidences from Mumbai, India , 2018, Travel Behaviour and Society.
[13] Karthik K. Srinivasan,et al. Investigation of Information Quality and User Response to Real-Time Traffic Information Under Heterogeneous Traffic Conditions , 2018, Transportation in Developing Economies.
[14] Alfred Andersson,et al. Promoting sustainable travel behaviour through the use of smartphone applications: A review and development of a conceptual model , 2018 .
[15] Fábio Duarte,et al. Merging ICT and informal transport in Jakarta's ojek system , 2018 .
[16] Joseph Y. J. Chow,et al. An agent-based day-to-day adjustment process for modeling ‘Mobility as a Service’ with a two-sided flexible transport market , 2017 .
[17] M. Anjaneyulu,et al. Networkwide Impact of Telework in Urban Areas: Case Study of Bangalore, India , 2017 .
[18] Kentaro Wada,et al. Tradable network permits: A new scheme for the most efficient use of network capacity , 2017 .
[19] Y. Nie. How can the taxi industry survive the tide of ridesourcing? Evidence from Shenzhen, China , 2017 .
[20] Kay W. Axhausen,et al. Autonomous vehicles: The next jump in accessibilities? , 2017 .
[21] P. Matouš. Complementarity and substitution between physical and virtual travel for instrumental information sharing in remote rural regions: A social network approach , 2017 .
[22] J. Polak,et al. How is ICT use linked to household transport expenditure? A cross-national macro analysis of the influence of home broadband access , 2017 .
[23] T. Arentze,et al. Dynamics in social activity-travel patterns: Analyzing the role of life-cycle events and path dependence in face-to-face and ICT-mediated social interactions , 2017, Research in Transportation Economics.
[24] Glenn Lyons,et al. Changing times – a decade of empirical insight into the experience of rail passengers in Great Britain , 2016 .
[25] Judith L. Mwakalonge,et al. Opportunities and challenges of smart mobile applications in transportation , 2016 .
[26] Helena Strömberg,et al. Trying Out Mobility as a Service: Experiences from a Field Trial and Implications for Understanding Demand , 2016 .
[27] Hai Yang,et al. Economic Analysis of Ride-sourcing Markets , 2016 .
[28] Yuanyuan Qiao,et al. Mobile big-data-driven rating framework: measuring the relationship between human mobility and app usage behavior , 2016, IEEE Network.
[29] David Banister,et al. How to Write a Literature Review Paper? , 2016 .
[30] Galit Cohen-Blankshtain,et al. Key research themes on ICT and sustainable urban mobility , 2016 .
[31] Tammy D Allen,et al. How Effective Is Telecommuting? Assessing the Status of Our Scientific Findings , 2015, Psychological science in the public interest : a journal of the American Psychological Society.
[32] Moshe Ben-Akiva,et al. The concept and impact analysis of a flexible mobility on demand system , 2015 .
[33] D. Fesenmaier,et al. Adapting to the Internet , 2015 .
[34] Albertine J. Schuit,et al. Shifting from car to active transport: A systematic review of the effectiveness of interventions , 2014 .
[35] Ilan Salomon,et al. “Nomads at last”? A set of perspectives on how mobile technology may affect travel , 2014 .
[36] Christa Hubers,et al. Activity fragmentation, ICT and travel: An exploratory Path Analysis of spatiotemporal interrelationships , 2014 .
[37] Kara M. Kockelman,et al. The Travel and Environmental Implications of Shared Autonomous Vehicles, Using Agent-Based Model Scenarios , 2014 .
[38] Brian Caulfield,et al. Does green make a difference: The potential role of smartphone technology in transport behaviour , 2013 .
[39] Caspar G. Chorus,et al. Information, communication, travel behavior and accessibility , 2013 .
[40] M. Ben-Akiva,et al. Future Mobility Survey , 2013 .
[41] G. Bifulco,et al. Evaluating the effects of information reliability on travellers’ route choice , 2013, European Transport Research Review.
[42] Erik T. Verhoef,et al. A revealed-preference study of behavioural impacts of real-time traffic information , 2013 .
[43] J. Weltevreden,et al. Transport effects of e-commerce: what can be learned after years of research? , 2013 .
[44] Luciano Gamberini,et al. Passengers’ activities during short trips on the London Underground , 2013 .
[45] Martin W. P. Savelsbergh,et al. Optimization for dynamic ride-sharing: A review , 2012, Eur. J. Oper. Res..
[46] D. Ettema,et al. How in-vehicle activities affect work commuters’ satisfaction with public transport , 2012 .
[47] D. Fesenmaier,et al. The Role of Smartphones in Mediating the Touristic Experience , 2012 .
[48] Anne Aguiléra,et al. Mobile ICTs and physical mobility: Review and research agenda , 2012 .
[49] Randi Hjorthol,et al. Working on the train: from ‘dead time’ to productive and vital time , 2012 .
[50] Donald Hislop,et al. Hanging on the telephone: Mobile phone use patterns among UK-based business travellers on work-related journeys , 2012 .
[51] Martin Raubal,et al. Correlating mobile phone usage and travel behavior - A case study of Harbin, China , 2012, Comput. Environ. Urban Syst..
[52] Ta Theo Arentze,et al. Exploring the use of travel information - identifying contextual market segmentation in Seoul, Korea , 2011 .
[53] Bernhard Nebel,et al. A Mechanism for Dynamic Ride Sharing Based on Parallel Auctions , 2011, IJCAI.
[54] Hongbo Yu,et al. Potential effects of ICT on face-to-face meeting opportunities: a GIS-based time-geographic approach , 2011 .
[55] Zbigniew Smoreda,et al. Interplay between Telecommunications and Face-to-Face Interactions: A Study Using Mobile Phone Data , 2011, PloS one.
[56] Raghu Garud,et al. Research Note - Mapping the Field of Virtual Work: A Cocitation Analysis , 2010, Inf. Syst. Res..
[57] Jennifer S. Evans-Cowley. Planning in the Real-Time City: The Future of Mobile Technology , 2010 .
[58] Caroline J Rodier,et al. Transit-based smart parking: An evaluation of the San Francisco Bay area field test , 2010 .
[59] Nava Pliskin,et al. Review: State of teleactivities , 2010 .
[60] Susan Kenyon,et al. The impacts of Internet use upon activity participation and travel: Results from a longitudinal diary-based panel study , 2010 .
[61] K. Axhausen,et al. Exploring Variation Properties of Time Use Behavior on the Basis of a Multilevel Multiple Discrete–Continuous Extreme Value Model , 2010 .
[62] Mei-Po Kwan,et al. The impact of the Internet on human activity–travel patterns: analysis of gender differences using multi-group structural equation models , 2009 .
[63] Mei-Po Kwan,et al. The Impact of Geographic Context on E-Shopping Behavior , 2009 .
[64] Glenn Lyons,et al. An examination of determinants influencing the desire for and frequency of part-day and whole-day homeworking , 2009 .
[65] Donald Hislop,et al. To Infinity and Beyond?: Workspace and the Multi-Location Worker , 2009 .
[66] Patricia L. Mokhtarian,et al. If telecommunication is such a good substitute for travel, why does congestion continue to get worse? , 2009 .
[67] David M Levinson,et al. Models of Transportation and Land Use Change: A Guide to the Territory , 2008 .
[68] Asad J. Khattak,et al. Traveler Information Delivery Mechanisms , 2008, Transportation Research Record: Journal of the Transportation Research Board.
[69] Harry J. P. Timmermans,et al. Route Choice under Uncertainty , 2008 .
[70] Harry J. P. Timmermans,et al. Travelers' Need for Information in Traffic and Transit: Results from a Web Survey , 2007, J. Intell. Transp. Syst..
[71] J. Weltevreden,et al. E‐SHOPPING VERSUS CITY CENTRE SHOPPING: THE ROLE OF PERCEIVED CITY CENTRE ATTRACTIVENESS , 2007 .
[72] Susan L Handy,et al. The Impacts of Ict on leisure Activities and Travel: A Conceptual Exploration , 2006 .
[73] E. Molin,et al. Use and Effects of Advanced Traveller Information Services (ATIS): A Review of the Literature , 2006 .
[74] K. Krizek,et al. E‐Shopping and its Relationship with In‐store Shopping: Empirical Evidence from the Netherlands and the USA , 2006 .
[75] B. Vilhelmson,et al. Virtual Mobility Of Urban Youth: Ict-Based Communication In Sweden , 2005 .
[76] Sangho Choo,et al. Do Telecommunications Affect Passenger Travel or Vice Versa? , 2005 .
[77] Donald G. Janelle,et al. Space–time constructs for linking information and communication technologies with issues in sustainable transportation , 2004 .
[78] D. Banister,et al. Impact of information and communications technology on transport , 2004 .
[79] Patricia L. Mokhtarian,et al. A conceptual analysis of the transportation impacts of B2C e-commerce , 2004 .
[80] Bert van Wee,et al. Accessibility evaluation of land-use and transport strategies: review and research directions , 2004 .
[81] M. Lanzendorf,et al. MOBILITY AND ACCESSIBILITY EFFECTS OF B2C E-COMMERCE: A LITERATURE REVIEW , 2004 .
[82] Youngbin Yim,et al. Traveler Response to New Dynamic Information Sources: Analyzing Corridor and Areawide Behavioral Surveys , 2004 .
[83] Anna Nagurney,et al. Multicriteria network equilibrium modeling with variable weights for decision-making in the Information Age with applications to telecommuting and teleshopping , 2002 .
[84] Nancy B. Kurland,et al. A review of telework research: findings, new directions, and lessons for the study of modern work , 2002 .
[85] P. Mokhtarian,et al. Worker Telecommunication and Mobility in Transition: Consequences for Planning , 2001 .
[86] Patricia L. Mokhtarian,et al. The trade-off between trips and distance traveled in analyzing the emissions impacts of center-based telecommuting , 1998 .
[87] Patricia L. Mokhtarian,et al. Transportation impacts of center-based telecommuting: Interim findings from the Neighborhood Telecenters Project , 1998 .
[88] Patricia L. Mokhtarian,et al. A Synthetic Approach to Estimating the Impacts of Telecommuting on Travel , 1997 .
[89] Dennis K. Henderson,et al. Impacts of Center-Based Telecommuting on Travel and Emissions: Analysis of the Puget Sound Demonstration Project , 1996 .
[90] P. Mokhtarian,et al. Methodological Issues in the Estimation of the Travel, Energy, and Air Quality Impacts of Telecommuting , 1995 .
[91] Eric Kroes,et al. Teleworking in the Netherlands: an evaluation of changes in travel behaviour , 1991 .
[92] Jack M. Nilles,et al. Traffic reduction by telecommuting: A status review and selected bibliography , 1988 .
[93] Frank S. Koppelman,et al. A FRAMEWORK FOR STUDYING TELESHOPPING VERSUS STORE SHOPPING , 1988 .
[94] Eric I. Pas,et al. INTRAPERSONAL VARIABILITY AND MODEL GOODNESS-OF-FIT , 1987 .
[95] Ilan Salomon,et al. Telecommunications and travel relationships: a review , 1986 .
[96] Gianluca Miscione,et al. Phone call elasticity of city travel in Ahmedabad , 2015 .
[97] Emmanuel Yujuico,et al. Considerations in the diffusion of a public traffic app for Metro Manila , 2015 .
[98] Gil Tal,et al. Impacts of Ict on Travel Behavior: A Tapestry of Relationships , 2013 .
[99] Xinyu (Jason) Cao,et al. E-Shopping, Spatial Attributes, and Personal Travel , 2009 .
[100] Kay W. Axhausen,et al. Exploring Variation Properties of Departure Time Choice Behavior by Using Multilevel Analysis Approach , 2009 .
[101] K. Krizek,et al. Spatial Attributes and Patterns of Use in Household-Related Information and Communications Technology Activity , 2005 .
[102] Thomas F. Golob,et al. Why Do People Drive to Shop? Future Travel and Telecommunications Tradeoffs , 1998 .
[103] Brett E. Koenig,et al. Using Travel Diary Data to Estimate the Emissions Impacts of Transportation Strategies: The Puget Sound Telecommuting Demonstration Project. , 1996, Journal of the Air & Waste Management Association.
[104] HERBERT A. SIMON,et al. The Architecture of Complexity , 1991 .
[105] Ram M. Pendyala,et al. TELECOMMUTING AND TRAVEL DEMAND: AN IMPACT ASSESSMENT FOR STATE OF CALIFORNIA TELECOMMUTE PILOT PROJECT PARTICIPANTS , 1990 .
[106] D. S. Bunch,et al. Urban Planning at Los , 1988 .