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A joint model for the perfect and imperfect substitute goods case: Application to activity time-use decisions. (2006). Sen, Sudeshna ; Srinivasan, Sivaramakrishnan ; Bhat, Chandra R..
In: Transportation Research Part B: Methodological.
RePEc:eee:transb:v:40:y:2006:i:10:p:827-850.

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  2. The role of time budgets in models of multi-tasking while travelling: A comparison between the MDCEV and eMDC approach. (2023). Pawlak, Jacek ; Palma, David ; Calastri, Chiara.
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  3. Exploring Multiple‐discreteness in Freight Transport. A Multiple Discrete Extreme Value Model Application for Grain Consolidators in Argentina. (2021). Tapia, Rodrigo J ; Bettella, Helena B ; Jong, Gerard ; Larranaga, Ana M.
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  4. Household energy consumption and adaptation behavior during crisis: Evidence from Indian economic blockade on Nepal. (2021). Adhikari, Santosh ; Acharya, Bikram.
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  5. Modelling the dynamics between tour-based mode choices and tour-timing choices in daily activity scheduling. (2020). Nurul Habib, Khandker ; Hasnine, Md Sami.
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  6. Linear, non-linear, bi-directional? Testing the nature of the relationship between mobility and satisfaction with life. (2020). Haas, Mathijs ; Kroesen, Maarten ; Wee, Bert ; Delbosc, Alexa.
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  7. Application of MDCEV to infrastructure planning in regional freight transport. (2020). Tapia, Rodrigo J ; Bettella, Helena B ; de Jong, Gerard ; Larranaga, Ana M.
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  8. Modelling intra-household interactions in time-use and activity patterns of retired and dual-earner couples. (2019). Lai, Xinjun ; Su, Junbiao ; Fu, Hui.
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  9. Determinants of household energy use and fuel switching behavior in Nepal. (2019). Marhold, Klaus ; Acharya, Bikram.
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  10. Forecasting household consumption of fuels: A multiple discrete-continuous approach. (2019). Frontuto, Vito.
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  11. Nature-based outdoor recreation trips: Duration, travel mode and location. (2018). Rouwendal, Jan ; Gosens, Tom .
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  12. Does the social context help with understanding and predicting the choice of activity type and duration? An application of the Multiple Discrete-Continuous Nested Extreme Value model to activity diary data. (2017). Hess, Stephane ; Carrasco, Juan Antonio ; Calastri, Chiara ; Daly, Andrew.
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  13. Multiple discrete-continuous choice models: a reflective analysis and a prospective view. (2014). Bhat, Chandra ; Pinjari, Abdul.
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  14. A household-level activity pattern generation model with an application for Southern California. (2013). Sidharthan, Raghuprasad ; Schmitt, Laura ; Goulias, Konstadinos ; Hu, Hsi-Hwa ; Bhat, Chandra ; Pendyala, Ram ; Paleti, Rajesh.
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  17. Discretionary activity location choice: in-home or out-of-home?. (2011). Doherty, Sean ; Clifton, Kelly ; Akar, Gulsah.
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  18. A flexible spatially dependent discrete choice model: Formulation and application to teenagers weekday recreational activity participation. (2010). Eluru, Naveen ; Sener, Ipek N. ; Bhat, Chandra R..
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  19. Residential self-selection effects in an activity time-use behavior model. (2009). Hensher, David ; Bhat, Chandra R. ; Pinjari, Abdul Rawoof.
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  22. An analysis of the social context of children’s weekend discretionary activity participation. (2007). Sener, Ipek ; Bhat, Chandra.
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  23. An analysis of the determinants of children’s weekend physical activity participation. (2007). Copperman, Rachel ; Bhat, Chandra.
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  44. Parametric action decision trees: Incorporating continuous attribute variables into rule-based models of discrete choice. (2007). Arentze, Theo ; Timmermans, Harry.
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:41:y:2007:i:7:p:772-783.

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  45. Changing the timing of activities in resolving Scheduling Conflicts. (2006). Ruiz, Tomas ; Timmermans, Harry.
    In: Transportation.
    RePEc:kap:transp:v:33:y:2006:i:5:p:429-445.

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  46. A joint model for the perfect and imperfect substitute goods case: Application to activity time-use decisions. (2006). Sen, Sudeshna ; Srinivasan, Sivaramakrishnan ; Bhat, Chandra R..
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:40:y:2006:i:10:p:827-850.

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  47. Is it time to use activity-based urban transport models? A discussion of planning needs and modelling possibilities. (2005). Mattsson, Lars-Göran ; Eliasson, Jonas ; Algers, Staffan.
    In: The Annals of Regional Science.
    RePEc:spr:anresc:v:39:y:2005:i:4:p:767-789.

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  48. An analysis of multiple interepisode durations using a unifying multivariate hazard model. (2005). Srinivasan, Sivaramakrishnan ; Axhausen, Kay W. ; Bhat, Chandra R..
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:39:y:2005:i:9:p:797-823.

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  49. A multidimensional mixed ordered-response model for analyzing weekend activity participation. (2005). Srinivasan, Sivaramakrishnan ; Bhat, Chandra R..
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:39:y:2005:i:3:p:255-278.

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  50. On distinguishing between physically active and physically passive episodes and between travel and activity episodes: an analysis of weekend recreational participation in the San Francisco Bay area. (2004). Bhat, Chandra ; Lockwood, Allison.
    In: Transportation Research Part A: Policy and Practice.
    RePEc:eee:transa:v:38:y:2004:i:8:p:573-592.

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