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An empirically-validated methodology to simulate electricity demand for electric vehicle charging. (2014). Harris, Chioke B. ; Webber, Michael E..
In: Applied Energy.
RePEc:eee:appene:v:126:y:2014:i:c:p:172-181.

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  1. Solar parking lot management: An IoT platform for smart charging EV fleets, using real-time data and production forecasts. (2024). Porruvecchio, Guido ; Heilmann, Zeno ; Varone, Alberto ; Romanino, Alessandro.
    In: Renewable and Sustainable Energy Reviews.
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  2. Modeling V2G spot market trading: The impact of charging tariffs on economic viability. (2024). Sandmeier, Thorben ; Ruppert, Manuel ; Baumgartner, Nora ; Signer, Tim ; Fichtner, Wolf.
    In: Energy Policy.
    RePEc:eee:enepol:v:189:y:2024:i:c:s0301421524001290.

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  3. Artificial deep neural network enables one-size-fits-all electric vehicle user behavior prediction framework. (2023). Ghodrati, Vahid ; Ahmadian, Amirhossein ; Gadh, Rajit.
    In: Applied Energy.
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  4. Review of Fast Charging for Electrified Transport: Demand, Technology, Systems, and Planning. (2022). Deilami, Sara ; Taghizadeh, Seyedfoad ; Town, Graham.
    In: Energies.
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  5. Empirical grid impact of in-home electric vehicle charging differs from predictions. (2022). Zhang, Huiming ; Xing, BO ; Shen, Xingchi ; Iseki, Hiroyuki ; Wang, Yi David ; Qiu, Yueming Lucy.
    In: Resource and Energy Economics.
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  6. Explicit demand response potential in electric vehicle charging networks: Event-based simulation based on the multivariate copula procedure. (2022). Lahdelma, Risto ; Einolander, Johannes.
    In: Energy.
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  7. Charging, steady-state SoC and energy storage distributions for EV fleets. (2022). Rich, J ; Vandet, C A ; Hipolito, F.
    In: Applied Energy.
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  8. Impact of mass-scale deployment of electric vehicles and benefits of smart charging across all European countries. (2022). Colombo, Emanuela ; Quoilin, Sylvain ; Pavievi, Matija ; Sanvito, Francesco Davide ; Lombardi, Francesco ; Mangipinto, Andrea.
    In: Applied Energy.
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  9. Travel Activity Based Stochastic Modelling of Load and Charging State of Electric Vehicles. (2021). Lehtonen, Matti ; Kutt, Lauri ; Iqbal, Muhammad Naveed ; Demidova, Galina L ; Rasslkin, Anton ; Puvi, Verner ; Millar, Robert John.
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  10. Uncontrolled Electric Vehicle Charging Impacts on Distribution Electric Power Systems with Primarily Residential, Commercial or Industrial Loads. (2021). Vining, William ; Lave, Matthew ; Jones, Birk C ; Garcia, Brooke Marshall.
    In: Energies.
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  11. Modelling Stochastic Electricity Demand of Electric Vehicles Based on Traffic Surveys—The Case of Austria. (2021). , Reinhardhaas ; Ramsebner, Jasmine ; Hiesl, Albert ; Haas, Reinhard.
    In: Energies.
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  12. Modeling Electric Vehicle Charging Demand with the Effect of Increasing EVSEs: A Discrete Event Simulation-Based Model. (2021). Manuel, Jose Bienvenido ; Allana, Adrian ; Lopez, Neil Stephen.
    In: Energies.
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  13. Load modelling and non-intrusive load monitoring to integrate distributed energy resources in low and medium voltage networks. (2021). del Rincon, Jesus Martinez ; Morrow, John D ; Laverty, David M ; Moreno, Andres F ; Foley, Aoife M.
    In: Renewable Energy.
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  14. Electrolyzer modeling and real-time control for optimized production of hydrogen gas. (2021). Lygeros, John ; Buchi, Felix N ; Peter, Christian ; Flamm, Benjamin.
    In: Applied Energy.
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  15. EV charging load simulation and forecasting considering traffic jam and weather to support the integration of renewables and EVs. (2020). Gonzalez, Ian Emmanuel ; Han, Shuang ; Lv, Guoliang ; Liu, Yongqian ; Zhang, Jing ; Yan, Jie.
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  16. From passive to active: Flexibility from electric vehicles in the context of transmission system development. (2020). Scheller, Fabian ; Jensen, Ida Grasted ; Bergaentzle, Claire ; Gunkel, Philipp Andreas.
    In: Applied Energy.
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  17. Are travel surveys a good basis for EV models? Validation of simulated charging profiles against empirical data. (2020). Boulouchos, Konstantinos ; Georges, Gil ; Kung, Lukas ; Pareschi, Giacomo.
    In: Applied Energy.
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  18. Daily electric vehicle charging load profiles considering demographics of vehicle users. (2020). Lv, Guoliang ; Zhang, Haoran ; Liu, Yongqian ; Yan, Jie.
    In: Applied Energy.
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  19. Utilizing Highway Rest Areas for Electric Vehicle Charging: Economics and Impacts on Renewable Energy Penetration in California. (2020). Cordano, Lauren ; Sheldon, Alex F ; Ogden, Joan ; Kiani, Behdad .
    In: Institute of Transportation Studies, Working Paper Series.
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  20. From passive to active: Flexibility from electric vehicles in the context of transmission system development. (2020). Bergaentzl, Claire ; Gunkel, Philipp Andreas ; Scheller, Fabian ; Jensen, Ida Graested.
    In: Papers.
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  21. Mobilizing smart grid experiments: Policy mobilities and urban energy governance. (2019). Levenda, Anthony M.
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  22. Data-Driven EV Load Profiles Generation Using a Variational Auto-Encoder. (2019). Liao, Wenlong ; Wang, Jianming ; Pan, Zhixin ; Zhu, Zhen ; Fang, Xin ; Yuan, Dong ; Chen, Haiwen.
    In: Energies.
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  23. Ensemble machine learning-based algorithm for electric vehicle user behavior prediction. (2019). Gadh, Rajit ; Chu, Chicheng ; Li, Tianyi ; Khaki, Behnam ; Chung, Yu-Wei.
    In: Applied Energy.
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  24. Electric vehicles’ impacts on residential electric local profiles – A stochastic modelling approach considering socio-economic, behavioural and spatial factors. (2019). Fischer, David ; McKenna, Russell ; Surmann, Arne ; Harbrecht, Alexander.
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  25. Key Features of Electric Vehicle Diffusion and Its Impact on the Korean Power Market. (2018). Altmann, Jörn ; Kim, Seung Wan ; Shim, Dongnyok ; Yoon, Yongtae.
    In: Sustainability.
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  26. Research on an Electric Vehicle Owner-Friendly Charging Strategy Using Photovoltaic Generation at Office Sites in Major Chinese Cities. (2018). Yang, Tiantian ; Hu, Yong ; Su, SU ; Yamashita, Koji ; Ota, Yutaka ; Xia, Mingchao ; Wei, Xiangxiang ; Liu, Ziqi ; Wang, Shidan.
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  27. Effects of electric vehicles on the spot market price. (2018). Hanemann, Philipp ; Bruckner, Thomas.
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  28. Designing a Sustainable University Recharge Area for Electric Vehicles: Technical and Economic Analysis. (2017). Viola, Fabio ; Miceli, Rosario.
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  29. Effects of electric vehicle charging strategies on the German power system. (2017). Behnert, Marika ; Bruckner, Thomas ; Hanemann, Philipp.
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  30. Electricity costs for a Level 3 electric vehicle fueling station integrated with a building. (2017). Flores, Robert J ; Brouwer, Jacob ; Shaffer, Brendan P.
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  31. Balanced charging strategies for electric vehicles on power systems. (2017). , ; Moon, Sang-Keun .
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  32. Electricity costs for an electric vehicle fueling station with Level 3 charging. (2016). Flores, Robert J ; Brouwer, Jacob ; Shaffer, Brendan P.
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  33. A data-driven approach for characterising the charging demand of electric vehicles: A UK case study. (2016). Xydas, Erotokritos ; Barker, Myles ; Carroll, Steve ; Jenkins, Nick ; Cipcigan, Liana M ; Marmaras, Charalampos .
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  34. Clustering analysis of residential electricity demand profiles. (2014). Upshaw, Charles R. ; Cole, Wesley J. ; Edgar, Thomas F. ; Webber, Michael E. ; Rhodes, Joshua D..
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    RePEc:eee:transa:v:116:y:2018:i:c:p:497-512.

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  6. The challenging paradigm of interrelated energy systems towards a more sustainable future. (2018). Ribeiro, L A ; Soares, N ; Ferreira, J P ; Bastos, J ; Pereira, G I ; Oliveira, G ; Rodrigues, E ; Castanheira, E ; Garcia, R ; Du, C ; Miguel, P ; Caldeira, C ; Ahovi, N ; Carvalho, A L ; Figueiredo, N C ; Martins, A G.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:95:y:2018:i:c:p:171-193.

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  7. An integrated choice and latent variable model for multiple discrete continuous choice kernels: Application exploring the association between day level moods and discretionary activity engagement choi. (2018). Enam, Annesha ; Eluru, Naveen ; Pinjari, Abdul R ; Konduri, Karthik C.
    In: Journal of choice modelling.
    RePEc:eee:eejocm:v:26:y:2018:i:c:p:80-100.

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  8. Travel mode and tour complexity: The roles of fuel price and built environment. (2017). Vance, Colin ; Simora, Michael.
    In: Ruhr Economic Papers.
    RePEc:zbw:rwirep:711.

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  9. Simulation, numerical approximation and closed forms for joint discrete continuous models with an application to household vehicle ownership and use. (2017). Tremblay, Jean-Michel ; Liu, Yangwen ; Cirillo, Cinzia.
    In: Transportation.
    RePEc:kap:transp:v:44:y:2017:i:5:d:10.1007_s11116-016-9696-4.

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  10. Social and urban form determinants of vehicle ownership; evidence from a developing country. (2017). Soltani, Ali.
    In: Transportation Research Part A: Policy and Practice.
    RePEc:eee:transa:v:96:y:2017:i:c:p:90-100.

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  11. An analysis of carsharing vehicle choice and utilization patterns using multiple discrete-continuous extreme value (MDCEV) models. (2017). Jian, Sisi ; Dixit, Vinayak ; Rashidi, Taha Hossein.
    In: Transportation Research Part A: Policy and Practice.
    RePEc:eee:transa:v:103:y:2017:i:c:p:362-376.

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  12. No free ride to zero-emissions: Simulating a regions need to implement its own zero-emissions vehicle (ZEV) mandate to achieve 2050 GHG targets. (2017). Sykes, Maxwell ; Axsen, Jonn.
    In: Energy Policy.
    RePEc:eee:enepol:v:110:y:2017:i:c:p:447-460.

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  13. Measuring the impact of alcohol multi-buy promotions on consumers purchase behaviour. (2017). Rohr, Charlene ; Hess, Stephane ; Daly, Andrew ; Lu, Hui.
    In: Journal of choice modelling.
    RePEc:eee:eejocm:v:24:y:2017:i:c:p:75-95.

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  14. On accommodating spatial interactions in a Generalized Heterogeneous Data Model (GHDM) of mixed types of dependent variables. (2016). Hamdi, Amin S ; Bhat, Chandra R ; Dubey, Subodh K ; Pinjari, Abdul R.
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:94:y:2016:i:c:p:240-263.

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  15. 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). Bhat, Chandra R ; Nagel, Kai ; Astroza, Sebastian.
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:91:y:2016:i:c:p:52-76.

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  16. Optimization of incentive polices for plug-in electric vehicles. (2016). Xiao, Feng ; Nie, YU ; Ghamami, Mehrnaz ; Zockaie, Ali .
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:84:y:2016:i:c:p:103-123.

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  17. Individual transport emissions and the built environment: A structural equation modelling approach. (2016). Diao, Mi ; Song, Siqi ; Feng, Chen-Chieh .
    In: Transportation Research Part A: Policy and Practice.
    RePEc:eee:transa:v:92:y:2016:i:c:p:206-219.

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  18. Stochastic frontier estimation of budgets for Kuhn–Tucker demand systems: Application to activity time-use analysis. (2016). Eluru, Naveen ; Augustin, Bertho ; Pinjari, Abdul Rawoof ; Pendyala, Ram M ; Sivaraman, Vijayaraghavan ; Imani, Ahmadreza Faghih .
    In: Transportation Research Part A: Policy and Practice.
    RePEc:eee:transa:v:88:y:2016:i:c:p:117-133.

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  19. A socio-ecological exploration into urban form: The environmental costs of travel. (2016). Kotval, Zeenat ; Vojnovic, Igor.
    In: Ecological Economics.
    RePEc:eee:ecolec:v:128:y:2016:i:c:p:87-98.

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  20. Factors influencing consumers’ light commercial vehicle purchase intention in a developing country. (2015). Elik, Kemal ; Ozhanci, Omer ; Ebul, Muhsin Doan ; Oktay, Erkan .
    In: Management & Marketing.
    RePEc:vrs:manmar:v:10:y:2015:i:2:p:148-162:n:5.

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  21. A model to evaluate vehicle emission incentive policies in Japan. (2015). Gan, Li ; Fullerton, Don ; Hattori, Miwa .
    In: Environmental Economics and Policy Studies.
    RePEc:spr:envpol:v:17:y:2015:i:1:p:79-108.

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  22. Allowing for complementarity and rich substitution patterns in multiple discrete–continuous models. (2015). Bhat, Chandra R ; Pinjari, Abdul Rawoof ; Castro, Marisol .
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:81:y:2015:i:p1:p:59-77.

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  23. Differentiating metropolitan transport disadvantage by mode: Household expenditure on private vehicle fuel and public transport fares in Brisbane, Australia. (2015). Li, Tiebei ; Sipe, Neil ; Dodson, Jago.
    In: Journal of Transport Geography.
    RePEc:eee:jotrge:v:49:y:2015:i:c:p:16-25.

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  24. Where are the electric vehicles? A spatial model for vehicle-choice count data. (2015). Chen, Donna T ; Kockelman, Kara M ; Wang, Yiyi .
    In: Journal of Transport Geography.
    RePEc:eee:jotrge:v:43:y:2015:i:c:p:181-188.

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  25. Alternative Modeling Approaches Used for Examining Automobile Ownership: A Comprehensive Review. (2014). Eluru, Naveen ; Miranda-Moreno, Luis F. ; Anowar, Sabreena.
    In: Transport Reviews.
    RePEc:taf:transr:v:34:y:2014:i:4:p:441-473.

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  26. Greenness versus safety in vehicle footprint selection. (2014). Wagner, Jeffrey ; Kinler, Kyle .
    In: Letters in Spatial and Resource Sciences.
    RePEc:spr:lsprsc:v:7:y:2014:i:1:p:35-45.

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  27. What’s your type: a multidimensional cyclist typology. (2014). Grimsrud, Michael ; Damant-Sirois, Gabriel ; El-Geneidy, Ahmed.
    In: Transportation.
    RePEc:kap:transp:v:41:y:2014:i:6:p:1153-1169.

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  28. Impact of fuel price on vehicle miles traveled (VMT): do the poor respond in the same way as the rich?. (2014). Wang, Tingting ; Chen, Cynthia.
    In: Transportation.
    RePEc:kap:transp:v:41:y:2014:i:1:p:91-105.

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  29. Multiple discrete-continuous choice models: a reflective analysis and a prospective view. (2014). Pinjari, Abdul ; Bhat, Chandra .
    In: Chapters.
    RePEc:elg:eechap:14820_19.

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  30. A joint count-continuous model of travel behavior with selection based on a multinomial probit residential density choice model. (2014). Alam, Mohammad Jobair Bin, ; Khushefati, Waleed H. ; Astroza, Sebastian ; Sidharthan, Raghuprasad ; Bhat, Chandra R..
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:68:y:2014:i:c:p:31-51.

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  31. The impact of a congestion pricing exemption on the demand for new energy efficient vehicles in Stockholm. (2014). Whitehead, Jake ; Washington, Simon ; Franklin, Joel P..
    In: Transportation Research Part A: Policy and Practice.
    RePEc:eee:transa:v:70:y:2014:i:c:p:24-40.

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  32. Agent-based modelling for assessing hybrid and electric cars deployment policies in Luxembourg and Lorraine. (2014). Benetto, Enrico ; Querini, Florent .
    In: Transportation Research Part A: Policy and Practice.
    RePEc:eee:transa:v:70:y:2014:i:c:p:149-161.

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  33. An integrated model for discrete and continuous decisions with application to vehicle ownership, type and usage choices. (2014). Cirillo, Cinzia ; Liu, Yangwen ; Tremblay, Jean-Michel .
    In: Transportation Research Part A: Policy and Practice.
    RePEc:eee:transa:v:69:y:2014:i:c:p:315-328.

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  34. Vehicle type choice under the influence of a tax reform and rising fuel prices. (2014). Mabit, Stefan.
    In: Transportation Research Part A: Policy and Practice.
    RePEc:eee:transa:v:64:y:2014:i:c:p:32-42.

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  35. The influence of urban form on GHG emissions in the U.S. household sector. (2014). Lee, Bumsoo .
    In: Energy Policy.
    RePEc:eee:enepol:v:68:y:2014:i:c:p:534-549.

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  36. Linking discrete choice to continuous demand in a spatial computable general equilibrium model. (2014). Truong, Truong ; Hensher, David.
    In: Journal of choice modelling.
    RePEc:eee:eejocm:v:12:y:2014:i:c:p:21-46.

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  37. Shedding light on the appropriateness of the (high) gasoline tax level in Germany. (2014). Tscharaktschiew, Stefan.
    In: Economics of Transportation.
    RePEc:eee:ecotra:v:3:y:2014:i:3:p:189-210.

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  38. An empirically-validated methodology to simulate electricity demand for electric vehicle charging. (2014). Harris, Chioke B. ; Webber, Michael E..
    In: Applied Energy.
    RePEc:eee:appene:v:126:y:2014:i:c:p:172-181.

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  39. Developing a web-based accessibility calculator prototype for the Greater Montreal Area. (2013). Paez, Antonio ; Bourbonnais, Pierre-Leo ; Moniruzzaman, Md., ; Morency, Catherine.
    In: Transportation Research Part A: Policy and Practice.
    RePEc:eee:transa:v:58:y:2013:i:c:p:103-115.

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  40. An empirical investigation of the impact of behavioural and psychographic consumer characteristics on car preferences: An integrated model of car type choice. (2013). Saridakis, Charalampos ; Baltas, George.
    In: Transportation Research Part A: Policy and Practice.
    RePEc:eee:transa:v:54:y:2013:i:c:p:92-110.

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  41. The benefits of allowing heteroscedastic stochastic distributions in multiple discrete-continuous choice models. (2013). Pinjari, Abdul Rawoof ; Sikder, Sujan .
    In: Journal of choice modelling.
    RePEc:eee:eejocm:v:9:y:2013:i:c:p:39-56.

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  42. Stated response and multiple discrete-continuous choice models: Analyses of residuals. (2013). Jaggi, Boris ; Axhausen, Kay W. ; Weis, Claude .
    In: Journal of choice modelling.
    RePEc:eee:eejocm:v:6:y:2013:i:c:p:44-59.

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  43. The Effectiveness of Differentiation of the Finnish Car Purchase Tax according to Carbon Dioxide Emission Performance. (2012). Perrels, Adriaan ; Tuovinen, Tarja .
    In: Research Reports.
    RePEc:fer:resrep:168.

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  44. Development and estimation of a semi-compensatory model with a flexible error structure. (2012). Bekhor, Shlomo ; Shiftan, Yoram ; Kaplan, Sigal.
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:46:y:2012:i:2:p:291-304.

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  45. CO2 emissions: Are land-use changes enough for California to reduce VMT? Specification of a two-part model with instrumental variables. (2011). Heres, David ; Niemeier, Deb ; Heres-Del-Valle, David, .
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:45:y:2011:i:1:p:150-161.

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  46. Evolution of the household vehicle fleet: Anticipating fleet composition, PHEV adoption and GHG emissions in Austin, Texas. (2011). Kockelman, Kara M. ; Musti, Sashank .
    In: Transportation Research Part A: Policy and Practice.
    RePEc:eee:transa:v:45:y:2011:i:8:p:707-720.

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  47. Representing in-home and out-of-home energy consumption behavior in Beijing. (2011). Zhang, Junyi ; YU, BIYING ; Fujiwara, Akimasa.
    In: Energy Policy.
    RePEc:eee:enepol:v:39:y:2011:i:7:p:4168-4177.

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  48. A multiple discrete-continuous nested extreme value (MDCNEV) model: Formulation and application to non-worker activity time-use and timing behavior on weekdays. (2010). Pinjari, Abdul Rawoof ; Bhat, Chandra .
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:44:y:2010:i:4:p:562-583.

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  49. The dynamics of environmentalism and the environment. (2009). Schumacher, Ingmar.
    In: Ecological Economics.
    RePEc:eee:ecolec:v:68:y:2009:i:11:p:2842-2849.

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