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1. How do I want the city council to spend our budget? Conceiving MaaS from a citizens perspective … (as well as biking infrastructure and public transport). (2024). Mouter, Niek ; Geigenmuller, Iris M ; Bahamonde-Birke, Francisco J ; Ettema, Dick F ; van Lierop, Dea S.
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2. Towards an equity-centred model of sustainable mobility: Integrating inequality and segregation challenges in the green mobility transition. (2023). Tammaru, Tiit ; Witlox, Frank ; Sevtsuk, Andres.
   In: Journal of Transport Geography.
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3. Nonlinear public transit accessibility effects on housing prices: Heterogeneity across price segments. (2022). Liu, Zhicheng ; Jin, Tanhua ; Cheng, Long ; Cao, Jun ; Huang, Haosheng ; Witlox, Frank.
   In: Transport Policy.
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4. Implications of Autonomous Vehicles for Accessibility and Transport Equity: A Framework Based on Literature. (2021). Hauger, Georg ; Ravazzoli, Elisa ; Dianin, Alberto.
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5. Modeling the Impacts of Autonomous Vehicles on Land Use Using a LUTI Model. (2021). Nogues, Soledad ; Cordera, Ruben ; Moura, Jose Luis ; Gonzalez-Gonzalez, Esther.
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6. Sustainable mobility in auto-dominated Metro Boston: Challenges and opportunities post-COVID-19. (2021). Basu, Rounaq ; Ferreira, Joseph.
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7. What does urban informatics add to planning support technology?. (2020). Geertman, Stan ; Pan, Haozhi ; Deal, Brian.
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8. Employer-based travel demand management program: Employer’s choice and effectiveness. (2017). Ko, Joonho ; Kim, Daejin.
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9. Beyond transport time: A review of time use modeling. (2017). Jara-Diaz, Sergio ; Rosales-Salas, Jorge.
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10. 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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11. An analysis of carsharing vehicle choice and utilization patterns using multiple discrete-continuous extreme value (MDCEV) models. (2017). Dixit, Vinayak ; Rashidi, Taha Hossein ; Jian, Sisi.
    In: Transportation Research Part A: Policy and Practice.
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12. Analyzing tour chaining patterns of urban commercial vehicles. (2017). MacHemehl, Randy ; Khan, Mubassira .
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13. Commercial vehicles time of day choice behavior in urban areas. (2017). MacHemehl, Randy ; Khan, Mubassira .
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14. Environmental goods valuations for social sustainability: A conceptual framework. (2017). Helms, Marilyn M ; Sarkis, Joseph ; Hervani, Aref Agahei.
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16. Models of Consumer Demand for Differentiated Products. (2016). Bonnet, Céline ; Richards, Timothy.
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18. Introducing relations between activities and goods consumption in microeconomic time use models. (2016). Jara-Diaz, Sergio ; Astroza, Sebastian ; Castro, Marisol ; Bhat, Chandra R.
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19. Incorporating a multiple discrete-continuous outcome in the generalized heterogeneous data model: Application to residential self-selection effects analysis in an activity time-use behavior model. (2016). Astroza, Sebastian ; Nagel, Kai ; Bhat, Chandra R.
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20. Commuters’ behavior towards upgraded bus services in Greater Beirut: Implications for greenhouse gas emissions, social welfare and transport policy. (2016). Abou-Zeid, Maya ; Al-Naghi, Hani ; Chalak, Ali ; Irani, Alexandra.
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21. Stochastic frontier estimation of budgets for Kuhn–Tucker demand systems: Application to activity time-use analysis. (2016). Eluru, Naveen ; Sivaraman, Vijayaraghavan ; Pendyala, Ram M ; Augustin, Bertho ; Imani, Ahmadreza Faghih ; Pinjari, Abdul Rawoof.
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24. Allowing for complementarity and rich substitution patterns in multiple discrete–continuous models. (2015). Castro, Marisol ; Bhat, Chandra R ; Pinjari, Abdul Rawoof.
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25. An empirical investigation into the time-use and activity patterns of dual-earner couples with and without young children. (2015). Paleti, Rajesh ; Hoklas, Megan ; Bernardo, Christina ; Bhat, Chandra.
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29. Dynamic diurnal social taxonomy of urban environments using data from a geocoded time use activity-travel diary and point-based business establishment inventory. (2014). Ravulaparthy, Srinath K. ; Yoon, Seo Youn ; Goulias, Konstadinos G..
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31. Heterogeneity and the fragility of the first best: Putting the “micro” in bioeconomic models of recreational resources. (2014). Abbott, Joshua K. ; Fenichel, Eli P..
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36. Choice models of travel demand in practice: current trends, problems and welcome research directions. (2013). Vovsha, Peter .
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37. A latent segmentation based multiple discrete continuous extreme value model. (2013). Eluru, Naveen ; Sobhani, Anae ; Faghih-Imani, Ahmadreza.
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38. The benefits of allowing heteroscedastic stochastic distributions in multiple discrete-continuous choice models. (2013). Sikder, Sujan ; Pinjari, Abdul Rawoof.
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39. Modeling the spatial and temporal dimensions of recreational activity participation with a focus on physical activities. (2012). Sener, Ipek ; Bhat, Chandra.
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40. Developing an integrated scobit-based activity participation and time allocation model to explore influence of childcare on women’s time use behaviour. (2012). Zhang, Junyi ; Fujiwara, Akimasa ; Xu, Lili.
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41. Accommodating multiple constraints in the multiple discrete–continuous extreme value (MDCEV) choice model. (2012). Jara-Diaz, Sergio ; Jara-Daz, Sergio R. ; Pendyala, Ram M. ; Castro, Marisol ; Bhat, Chandra R..
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42. Inverse optimization with endogenous arrival time constraints to calibrate the household activity pattern problem. (2012). Recker, Will W. ; Chow, Joseph Y. J., .
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43. Analysis of the residential location choice and household energy consumption behavior by incorporating multiple self-selection effects. (2012). Zhang, Junyi ; YU, BIYING ; Fujiwara, Akimasa ; Biying, YU.
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44. Consumer preferences for automobile energy-efficiency grades. (2012). Lee, Jongsu ; Koo, Yoonmo ; Hong, Jun Hee ; Choi, Ie-Jung ; Kim, Chang Seob.
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45. Current issues in mode choice modeling. (2011). Abou-Zeid, Maya ; Scott, Darren.
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47. Multiple-Constraint Choice Models with Corner and Interior Solutions. (2011). Satomura, Takuya ; Kim, Jaehwan ; Allenby, Greg M..
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48. Embedding risk attitude and decision weights in non-linear logit to accommodate time variability in the value of expected travel time savings. (2011). Li, Zheng ; Hensher, David ; Greene, William.
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49. Generalized extreme value (GEV)-based error structures for multiple discrete-continuous choice models. (2011). Pinjari, Abdul Rawoof.
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50. Representing in-home and out-of-home energy consumption behavior in Beijing. (2011). Zhang, Junyi ; YU, BIYING ; Fujiwara, Akimasa.
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52. 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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53. A multiple discrete-continuous nested extreme value (MDCNEV) model: Formulation and application to non-worker activity time-use and timing behavior on weekdays. (2010). Bhat, Chandra ; Pinjari, Abdul Rawoof.
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54. Residential self-selection effects in an activity time-use behavior model. (2009). Hensher, David ; Bhat, Chandra R. ; Pinjari, Abdul Rawoof.
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55. The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use. (2009). Eluru, Naveen ; Sen, Sudeshna ; Bhat, Chandra R..
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57. A discrete-continuous model of households vehicle choice and usage, with an application to the effects of residential density. (2008). Fang, Hao Audrey .
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