IDEAS home Printed from https://ideas.repec.org/e/pfu126.html
   My authors  Follow this author

Akimasa Fujiwara

Personal Details

First Name:Akimasa
Middle Name:
Last Name:Fujiwara
Suffix:
RePEc Short-ID:pfu126
http://home.hiroshima-u.ac.jp/hitel/about.html

Affiliation

Graduate School for International Development and Cooperation
Hiroshima University

Hiroshima, Japan
http://www.hiroshima-u.ac.jp/idec/

:


RePEc:edi:gshirjp (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Biying Yu & Junyi Zhang & Akimasa Fujiwara, 2016. "Who rebounds in the private transport sector? A comparative analysis between Beijing and Tokyo," Environment and Planning B, , vol. 43(3), pages 561-579, May.
  2. Chikaraishi, Makoto & Fujiwara, Akimasa & Kaneko, Shinji & Poumanyvong, Phetkeo & Komatsu, Satoru & Kalugin, Andrey, 2015. "The moderating effects of urbanization on carbon dioxide emissions: A latent class modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 302-317.
  3. Biying Yu & Junyi Zhang & Akimasa Fujiwara, 2013. "A household time-use and energy-consumption model with multiple behavioral interactions and zero consumption," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 40(2), pages 330-349, March.
  4. Yu, Biying & Zhang, Junyi & Fujiwara, Akimasa, 2013. "Evaluating the direct and indirect rebound effects in household energy consumption behavior: A case study of Beijing," Energy Policy, Elsevier, vol. 57(C), pages 441-453.
  5. Junyi Zhang & Lili Xu & Akimasa Fujiwara, 2012. "Developing an integrated scobit-based activity participation and time allocation model to explore influence of childcare on women’s time use behaviour," Transportation, Springer, vol. 39(1), pages 125-149, January.
  6. Biying, Yu & Zhang, Junyi & Fujiwara, Akimasa, 2012. "Analysis of the residential location choice and household energy consumption behavior by incorporating multiple self-selection effects," Energy Policy, Elsevier, vol. 46(C), pages 319-334.
  7. Yu, Biying & Zhang, Junyi & Fujiwara, Akimasa, 2011. "Representing in-home and out-of-home energy consumption behavior in Beijing," Energy Policy, Elsevier, vol. 39(7), pages 4168-4177, July.
  8. Makoto Chikaraishi & Akimasa Fujiwara & Junyi Zhang & Kay Axhausen, 2011. "Identifying variations and co-variations in discrete choice models," Transportation, Springer, vol. 38(6), pages 993-1016, November.
  9. Hiroshi Shimamoto & Naoki Murayama & Akimasa Fujiwara & Junyi Zhang, 2010. "Evaluation of an existing bus network using a transit network optimisation model: a case study of the Hiroshima City Bus network," Transportation, Springer, vol. 37(5), pages 801-823, September.
  10. Zhang, Junyi & Kuwano, Masashi & Lee, Backjin & Fujiwara, Akimasa, 2009. "Modeling household discrete choice behavior incorporating heterogeneous group decision-making mechanisms," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 230-250, February.
  11. Zhang, Junyi & Fujiwara, Akimasa, 2006. "Representing household time allocation behavior by endogenously incorporating diverse intra-household interactions: A case study in the context of elderly couples," Transportation Research Part B: Methodological, Elsevier, vol. 40(1), pages 54-74, January.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Chikaraishi, Makoto & Fujiwara, Akimasa & Kaneko, Shinji & Poumanyvong, Phetkeo & Komatsu, Satoru & Kalugin, Andrey, 2015. "The moderating effects of urbanization on carbon dioxide emissions: A latent class modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 302-317.

    Cited by:

    1. Tan Yigitcanlar & Md. Kamruzzaman, 2015. "Planning, Development and Management of Sustainable Cities: A Commentary from the Guest Editors," Sustainability, MDPI, Open Access Journal, vol. 7(11), pages 1-12, November.
    2. Yongxia Ding & Wei Qu & Shuwen Niu & Man Liang & Wenli Qiang & Zhenguo Hong, 2016. "Factors Influencing the Spatial Difference in Household Energy Consumption in China," Sustainability, MDPI, Open Access Journal, vol. 8(12), pages 1-20, December.
    3. Wang, Qiang & Wu, Shi-dai & Zeng, Yue-e & Wu, Bo-wei, 2016. "Exploring the relationship between urbanization, energy consumption, and CO2 emissions in different provinces of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1563-1579.
    4. Charfeddine, Lanouar & Ben Khediri, Karim, 2016. "Financial development and environmental quality in UAE: Cointegration with structural breaks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1322-1335.
    5. Wang, Zhaohua & Danish, & Zhang, Bin & Wang, Bo, 2018. "The moderating role of corruption between economic growth and CO2 emissions: Evidence from BRICS economies," Energy, Elsevier, vol. 148(C), pages 506-513.
    6. Li Li & Xuefei Hong & Dengli Tang & Ming Na, 2016. "GHG Emissions, Economic Growth and Urbanization: A Spatial Approach," Sustainability, MDPI, Open Access Journal, vol. 8(5), pages 1-16, May.
    7. Charfeddine, Lanouar & Mrabet, Zouhair, 2017. "The impact of economic development and social-political factors on ecological footprint: A panel data analysis for 15 MENA countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 138-154.
    8. Li Li & Jianjun Wang, 2015. "The Effects of Coal Switching and Improvements in Electricity Production Efficiency and Consumption on CO 2 Mitigation Goals in China," Sustainability, MDPI, Open Access Journal, vol. 7(7), pages 1-20, July.
    9. Charfeddine, Lanouar, 2017. "The impact of energy consumption and economic development on Ecological Footprint and CO2 emissions: Evidence from a Markov Switching Equilibrium Correction Model," Energy Economics, Elsevier, vol. 65(C), pages 355-374.

  2. Yu, Biying & Zhang, Junyi & Fujiwara, Akimasa, 2013. "Evaluating the direct and indirect rebound effects in household energy consumption behavior: A case study of Beijing," Energy Policy, Elsevier, vol. 57(C), pages 441-453.

    Cited by:

    1. Merter AKINCI, Haktan SEVİNÇ, Ömer YILMAZ, 2018. "Jevons Paradoksu: Enerji Etkinliği ve Rebound Etkisi Üzerine Ekonometrik Bir Analiz," Fiscaoeconomia, Tubitak Ulakbim JournalPark (Dergipark), issue 1.
    2. Freire-González, Jaume & Font Vivanco, David & Puig-Ventosa, Ignasi, 2017. "Economic structure and energy savings from energy efficiency in households," Ecological Economics, Elsevier, vol. 131(C), pages 12-20.
    3. Li, Ke & Jiang, Zhujun, 2016. "The impacts of removing energy subsidies on economy-wide rebound effects in China: An input-output analysis," Energy Policy, Elsevier, vol. 98(C), pages 62-72.
    4. Zhang, Yue-Jun & Peng, Hua-Rong & Su, Bin, 2017. "Energy rebound effect in China's Industry: An aggregate and disaggregate analysis," Energy Economics, Elsevier, vol. 61(C), pages 199-208.
    5. Yu, Biying & Tian, Yaming & Zhang, Junyi, 2015. "A dynamic active energy demand management system for evaluating the effect of policy scheme on household energy consumption behavior," Energy, Elsevier, vol. 91(C), pages 491-506.
    6. Galvin, Ray, 2015. "‘Constant’ rebound effects in domestic heating: Developing a cross-sectional method," Ecological Economics, Elsevier, vol. 110(C), pages 28-35.
    7. Wang, Zhaohua & Han, Bai & Lu, Milin, 2016. "Measurement of energy rebound effect in households: Evidence from residential electricity consumption in Beijing, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 852-861.
    8. Adnane Kendel & Nathalie Lazaric, 2015. "The diffusion of smart meters in France: A discussion of the empirical evidence and the implications for smart cities," Post-Print halshs-01246427, HAL.
    9. Zheng, Xinye & Wei, Chu & Qin, Ping & Guo, Jin & Yu, Yihua & Song, Feng & Chen, Zhanming, 2014. "Characteristics of residential energy consumption in China: Findings from a household survey," Energy Policy, Elsevier, vol. 75(C), pages 126-135.
    10. Oliveira, Mario Henrique da Fonseca & Rebelatto, Daisy Aparecida do Nascimento, 2015. "The evaluation of electric energy consumption in the Brazilian residential sector: A technological improvement proposal in order to increase its efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 836-844.
    11. Yu, Biying & Ma, Ye & Xue, Meimei & Tang, Baojun & Wang, Bin & Yan, Jinyue & Wei, Yi-Ming, 2017. "Environmental benefits from ridesharing: A case of Beijing," Applied Energy, Elsevier, vol. 191(C), pages 141-152.
    12. Li, Ke & Lin, Boqiang, 2015. "Heterogeneity in rebound effects: Estimated results and impact of China’s fossil-fuel subsidies," Applied Energy, Elsevier, vol. 149(C), pages 148-160.
    13. Galvin, Ray, 2015. "The ICT/electronics question: Structural change and the rebound effect," Ecological Economics, Elsevier, vol. 120(C), pages 23-31.
    14. Huang, Wen-Hsiu, 2015. "The determinants of household electricity consumption in Taiwan: Evidence from quantile regression," Energy, Elsevier, vol. 87(C), pages 120-133.
    15. Freire-González, Jaume, 2017. "A new way to estimate the direct and indirect rebound effect and other rebound indicators," Energy, Elsevier, vol. 128(C), pages 394-402.
    16. Tharinya Supasa & Shu-San Hsiau & Shih-Mo Lin & Wongkot Wongsapai & Jiunn-Chi Wu, 2017. "Household Energy Consumption Behaviour for Different Demographic Regions in Thailand from 2000 to 2010," Sustainability, MDPI, Open Access Journal, vol. 9(12), pages 1-22, December.

  3. Junyi Zhang & Lili Xu & Akimasa Fujiwara, 2012. "Developing an integrated scobit-based activity participation and time allocation model to explore influence of childcare on women’s time use behaviour," Transportation, Springer, vol. 39(1), pages 125-149, January.

    Cited by:

    1. Marta Disegna & Fabrizio Durante & Enrico Foscolo, 2013. "A multivariate nonlinear analysis of tourism expenditures," BEMPS - Bozen Economics & Management Paper Series BEMPS10, Faculty of Economics and Management at the Free University of Bozen.
    2. Shinichiro Iwata & Keiko Tamada, 2014. "The backward-bending commute times of married women with household responsibility," Transportation, Springer, vol. 41(2), pages 251-278, March.

  4. Biying, Yu & Zhang, Junyi & Fujiwara, Akimasa, 2012. "Analysis of the residential location choice and household energy consumption behavior by incorporating multiple self-selection effects," Energy Policy, Elsevier, vol. 46(C), pages 319-334.

    Cited by:

    1. Sweeney, Jillian C. & Kresling, Johannes & Webb, Dave & Soutar, Geoffrey N. & Mazzarol, Tim, 2013. "Energy saving behaviours: Development of a practice-based model," Energy Policy, Elsevier, vol. 61(C), pages 371-381.
    2. Yu, Biying & Tian, Yaming & Zhang, Junyi, 2015. "A dynamic active energy demand management system for evaluating the effect of policy scheme on household energy consumption behavior," Energy, Elsevier, vol. 91(C), pages 491-506.
    3. Zhaohua Wang & Wei Liu & Jianhua Yin, 2015. "Driving forces of indirect carbon emissions from household consumption in China: an input–output decomposition analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 257-272, February.
    4. Enam, Annesha & Konduri, Karthik C. & Pinjari, Abdul R. & Eluru, Naveen, 2018. "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," Journal of choice modelling, Elsevier, vol. 26(C), pages 80-100.
    5. Age Poom & Rein Ahas, 2016. "How Does the Environmental Load of Household Consumption Depend on Residential Location?," Sustainability, MDPI, Open Access Journal, vol. 8(9), pages 1-18, August.
    6. Zhang, Zhaohua & Hite, Diane, 2015. "House Value, Crime and Residential Location Choice," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196826, Southern Agricultural Economics Association.
    7. Yu, Biying & Zhang, Junyi & Li, Xia, 2017. "Dynamic life course analysis on residential location choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 281-292.
    8. Pothitou, Mary & Hanna, Richard F. & Chalvatzis, Konstantinos J., 2016. "Environmental knowledge, pro-environmental behaviour and energy savings in households: An empirical study," Applied Energy, Elsevier, vol. 184(C), pages 1217-1229.
    9. Zhang, Junyi, 2014. "Revisiting residential self-selection issues: A life-oriented approach," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(3), pages 29-45.

  5. Yu, Biying & Zhang, Junyi & Fujiwara, Akimasa, 2011. "Representing in-home and out-of-home energy consumption behavior in Beijing," Energy Policy, Elsevier, vol. 39(7), pages 4168-4177, July.

    Cited by:

    1. Plappally, A.K. & Lienhard V, J.H., 2012. "Energy requirements for water production, treatment, end use, reclamation, and disposal," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4818-4848.
    2. Yao, Xi-Long & Liu, Yang & Yan, Xiao, 2014. "A quantile approach to assess the effectiveness of the subsidy policy for energy-efficient home appliances: Evidence from Rizhao, China," Energy Policy, Elsevier, vol. 73(C), pages 512-518.
    3. Yu, Biying & Tian, Yaming & Zhang, Junyi, 2015. "A dynamic active energy demand management system for evaluating the effect of policy scheme on household energy consumption behavior," Energy, Elsevier, vol. 91(C), pages 491-506.
    4. Sikder, Sujan & Pinjari, Abdul Rawoof, 2013. "The benefits of allowing heteroscedastic stochastic distributions in multiple discrete-continuous choice models," Journal of choice modelling, Elsevier, vol. 9(C), pages 39-56.
    5. Lu, Hui & Hess, Stephane & Daly, Andrew & Rohr, Charlene, 2017. "Measuring the impact of alcohol multi-buy promotions on consumers' purchase behaviour," Journal of choice modelling, Elsevier, vol. 24(C), pages 75-95.
    6. Lan-Cui Liu & Gang Wu & Yue-Jun Zhang, 2015. "Investigating the residential energy consumption behaviors in Beijing: a survey study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(1), pages 243-263, January.
    7. Ma, Guo & Andrews-Speed, Philip & Zhang, Jiandong, 2013. "Chinese consumer attitudes towards energy saving: The case of household electrical appliances in Chongqing," Energy Policy, Elsevier, vol. 56(C), pages 591-602.
    8. Yu, Biying & Zhang, Junyi & Fujiwara, Akimasa, 2013. "Evaluating the direct and indirect rebound effects in household energy consumption behavior: A case study of Beijing," Energy Policy, Elsevier, vol. 57(C), pages 441-453.
    9. Ramachandra, T.V. & Bajpai, Vishnu & Kulkarni, Gouri & Aithal, Bharath H. & Han, Sun Sheng, 2017. "Economic disparity and CO2 emissions: The domestic energy sector in Greater Bangalore, India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1331-1344.
    10. Biying, Yu & Zhang, Junyi & Fujiwara, Akimasa, 2012. "Analysis of the residential location choice and household energy consumption behavior by incorporating multiple self-selection effects," Energy Policy, Elsevier, vol. 46(C), pages 319-334.

  6. Makoto Chikaraishi & Akimasa Fujiwara & Junyi Zhang & Kay Axhausen, 2011. "Identifying variations and co-variations in discrete choice models," Transportation, Springer, vol. 38(6), pages 993-1016, November.

    Cited by:

    1. Yusak Susilo & Kay Axhausen, 2014. "Repetitions in individual daily activity–travel–location patterns: a study using the Herfindahl–Hirschman Index," Transportation, Springer, vol. 41(5), pages 995-1011, September.
    2. Dimas B. E. Dharmowijoyo & Yusak O. Susilo & Anders Karlström, 2016. "Day-to-day variability in travellers’ activity-travel patterns in the Jakarta metropolitan area," Transportation, Springer, vol. 43(4), pages 601-621, July.
    3. Nadine Rieser-Schüssler & Kay W. Axhausen, 2014. "Self-tracing and reporting: state of the art in the capture of revealed behaviour," Chapters,in: Handbook of Choice Modelling, chapter 6, pages 131-151 Edward Elgar Publishing.

  7. Hiroshi Shimamoto & Naoki Murayama & Akimasa Fujiwara & Junyi Zhang, 2010. "Evaluation of an existing bus network using a transit network optimisation model: a case study of the Hiroshima City Bus network," Transportation, Springer, vol. 37(5), pages 801-823, September.

    Cited by:

    1. Goerigk, Marc & Schmidt, Marie, 2017. "Line planning with user-optimal route choice," European Journal of Operational Research, Elsevier, vol. 259(2), pages 424-436.
    2. Pternea, Moschoula & Kepaptsoglou, Konstantinos & Karlaftis, Matthew G., 2015. "Sustainable urban transit network design," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 276-291.

  8. Zhang, Junyi & Kuwano, Masashi & Lee, Backjin & Fujiwara, Akimasa, 2009. "Modeling household discrete choice behavior incorporating heterogeneous group decision-making mechanisms," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 230-250, February.

    Cited by:

    1. Chorus, Caspar G., 2015. "Models of moral decision making: Literature review and research agenda for discrete choice analysis," Journal of choice modelling, Elsevier, vol. 16(C), pages 69-85.
    2. Ermagun, Alireza & Levinson, David, 2016. "Intra-household bargaining for school trip accompaniment of children: A group decision approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 222-234.
    3. David A. Hensher & Chinh Ho & Matthew J. Beck, 2017. "A simplified and practical alternative way to recognise the role of household characteristics in determining an individual’s preferences: the case of automobile choice," Transportation, Springer, vol. 44(1), pages 225-240, January.
    4. Wen, Chieh-Hua & Wang, Wei-Chung & Fu, Chiang, 2012. "Latent class nested logit model for analyzing high-speed rail access mode choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 545-554.
    5. Hurtubia, Ricardo & Nguyen, My Hang & Glerum, Aurélie & Bierlaire, Michel, 2014. "Integrating psychometric indicators in latent class choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 135-146.
    6. Ho, Chinh & Mulley, Corinne, 2015. "Intra-household Interactions in tour-based mode choice: The role of social, temporal, spatial and resource constraints," Transport Policy, Elsevier, vol. 38(C), pages 52-63.
    7. Timmermans, Harry J.P. & Zhang, Junyi, 2009. "Modeling household activity travel behavior: Examples of state of the art modeling approaches and research agenda," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 187-190, February.
    8. Chandra Bhat & Konstadinos Goulias & Ram Pendyala & Rajesh Paleti & Raghuprasad Sidharthan & Laura Schmitt & Hsi-Hwa Hu, 2013. "A household-level activity pattern generation model with an application for Southern California," Transportation, Springer, vol. 40(5), pages 1063-1086, September.
    9. Marcella Veronesi & Martina Menon & Federico Perali, 2007. "Extensions of the Traditional Travel Cost Model of Non-Market Valuation to a Collective Framework: Evidence from the Field," Working Papers 42/2007, University of Verona, Department of Economics.
    10. Shinichiro Iwata & Keiko Tamada, 2014. "The backward-bending commute times of married women with household responsibility," Transportation, Springer, vol. 41(2), pages 251-278, March.
    11. Alireza Ermagun & David Levinson, 2015. "Intra-household Bargaining for School Trip Accompaniment of Children: A Group Decision Approach with Altruism," Working Papers 000131, University of Minnesota: Nexus Research Group.
    12. Allahviranloo, Mahdieh & Axhausen, Kay, 2018. "An optimization model to measure utility of joint and solo activities," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 172-187.
    13. Kim, Changjoo & Parent, Olivier, 2016. "Modeling individual travel behaviors based on intra-household interactions," Regional Science and Urban Economics, Elsevier, vol. 57(C), pages 1-11.
    14. Zhi-Chun Li & William Lam & S. Wong & A. Sumalee, 2010. "An activity-based approach for scheduling multimodal transit services," Transportation, Springer, vol. 37(5), pages 751-774, September.
    15. Xiao Fu & William H. K. Lam, 2018. "Modelling joint activity-travel pattern scheduling problem in multi-modal transit networks," Transportation, Springer, vol. 45(1), pages 23-49, January.
    16. Ma, Xiaosu & Lo, Hong K., 2012. "Modeling transport management and land use over time," Transportation Research Part B: Methodological, Elsevier, vol. 46(6), pages 687-709.
    17. Jia, Zehui & Wang, David Z.W. & Cai, Xingju, 2016. "Traffic managements for household travels in congested morning commute," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 173-189.
    18. Yao, Mingzhu & Wang, Donggen & Yang, Hai, 2017. "A game-theoretic model of car ownership and household time allocation," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 667-685.
    19. Drouard, Joeffrey, 2011. "Costs or gross benefits? - What mainly drives cross-sectional variance in Internet adoption," Information Economics and Policy, Elsevier, vol. 23(1), pages 127-140, March.

  9. Zhang, Junyi & Fujiwara, Akimasa, 2006. "Representing household time allocation behavior by endogenously incorporating diverse intra-household interactions: A case study in the context of elderly couples," Transportation Research Part B: Methodological, Elsevier, vol. 40(1), pages 54-74, January.

    Cited by:

    1. Ermagun, Alireza & Levinson, David, 2016. "Intra-household bargaining for school trip accompaniment of children: A group decision approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 222-234.
    2. David A. Hensher & Chinh Ho & Matthew J. Beck, 2017. "A simplified and practical alternative way to recognise the role of household characteristics in determining an individual’s preferences: the case of automobile choice," Transportation, Springer, vol. 44(1), pages 225-240, January.
    3. André De Palma & Nathalie Picard & Ignacio Inoa, 2013. "Discrete Choice Decision-Making with Multiple Decision Makers within the Household," Working Papers hal-00812835, HAL.
    4. Metin Senbil & Ryuichi Kitamura & Jamilah Mohamad, 2009. "Residential location, vehicle ownership and travel in Asia: a comparative analysis of Kei-Han-Shin and Kuala Lumpur metropolitan areas," Transportation, Springer, vol. 36(3), pages 325-350, May.
    5. Goulias, Konstadinos G, 2007. "Companionship and Altruism in Daily Activity Time Allocation and Travel by Men and Women in the Same Households," University of California Transportation Center, Working Papers qt7d44668g, University of California Transportation Center.
    6. Timmermans, Harry J.P. & Zhang, Junyi, 2009. "Modeling household activity travel behavior: Examples of state of the art modeling approaches and research agenda," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 187-190, February.
    7. Chandra Bhat & Konstadinos Goulias & Ram Pendyala & Rajesh Paleti & Raghuprasad Sidharthan & Laura Schmitt & Hsi-Hwa Hu, 2013. "A household-level activity pattern generation model with an application for Southern California," Transportation, Springer, vol. 40(5), pages 1063-1086, September.
    8. Beck, Matthew J. & Hess, Stephane, 2016. "Willingness to accept longer commutes for better salaries: Understanding the differences within and between couples," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 1-16.
    9. Zhang, Junyi & Kuwano, Masashi & Lee, Backjin & Fujiwara, Akimasa, 2009. "Modeling household discrete choice behavior incorporating heterogeneous group decision-making mechanisms," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 230-250, February.
    10. Alireza Ermagun & David Levinson, 2015. "Intra-household Bargaining for School Trip Accompaniment of Children: A Group Decision Approach with Altruism," Working Papers 000131, University of Minnesota: Nexus Research Group.
    11. Wilton, Robert D. & Páez, Antonio & Scott, Darren M., 2011. "Why do you care what other people think? A qualitative investigation of social influence and telecommuting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(4), pages 269-282, May.
    12. Surabhi Gupta & Peter Vovsha, 2013. "A model for work activity schedules with synchronization for multiple-worker households," Transportation, Springer, vol. 40(4), pages 827-845, July.
    13. Marcucci, Edoardo & Rotaris, Lucia & Paglione, Guido, 2009. "A methodology to evaluate the prospects for the introduction of a Park&Buy service," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 42, pages 26-46.
    14. Yao, Mingzhu & Wang, Donggen & Yang, Hai, 2017. "A game-theoretic model of car ownership and household time allocation," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 667-685.
    15. Kato, Hironori & Matsumoto, Manabu, 2009. "Intra-household interaction in a nuclear family: A utility-maximizing approach," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 191-203, February.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Akimasa Fujiwara should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.