Sven Müller
(Sven Mueller)

Personal Details

First Name:	Sven
Middle Name:
Last Name:	Mueller
Suffix:
RePEc Short-ID:	pml29
	[This author has chosen not to make the email address public]
	http://www.spatial-management-science.org
Twitter:	@geooptimization

Affiliation

Wirtschaftswissenschaftliche Fakultät
Europa-Universität Viadrina Frankfurt (Oder)

Frankfurt an der Oder, Germany
https://www.wiwi.europa-uni.de/
RePEc:edi:fwffode (more details at EDIRC)

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.

Working papers

1. Rode, Johannes & Müller, Sven, 2020. "I Spot, I Adopt! Peer Effects and Visibility in Solar Photovoltaic System Adoption of Households," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 119280, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
   • Rode, Johannes & Müller, Sven, 2020. "I spot, I adopt! Peer effects and visibility in solar photovoltaic system adoption of households," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224644, Verein für Socialpolitik / German Economic Association.

   Cited by:

   1. Zaman, Rafia & Das, Debasish Kumar & van Vliet, Oscar & Posch, Alfred, 2021. "Distributional inequality in market-based solar home system programs: Evidence from rural Bangladesh," Energy Economics, Elsevier, vol. 103(C).
   2. Fabian Scheller & Isabel Doser & Daniel Sloot & Russell McKenna & Thomas Bruckner, 2020. "Exploring the Role of Stakeholder Dynamics in Residential Photovoltaic Adoption Decisions: A Synthesis of the Literature," Energies, MDPI, vol. 13(23), pages 1-31, November.

2. Rode, Johannes & Müller, Sven, 2016. "Spatio-Temporal Variation in Peer Effects - The Case of Rooftop Photovoltaic Systems in Germany," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 84765, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
   • Johannes Rode & Sven Müller, 2016. "Spatio-temporal variation in peer effects - The case of rooftop photovoltaic systems in Germany," ERSA conference papers ersa16p579, European Regional Science Association.

   Cited by:

   1. Inhoffen, Justus & Siemroth, Christoph & Zahn, Philipp, 2019. "Minimum prices and social interactions: Evidence from the German renewable energy program," Energy Economics, Elsevier, vol. 78(C), pages 350-364.
      • Inhoffen, Justus & Siemroth, Christoph & Zahn, Philipp, 2016. "Does social interaction make bad policies even worse? Evidence from renewable energy subsidies," Working Papers 16-09, University of Mannheim, Department of Economics.
   2. Balta-Ozkan, Nazmiye & Yildirim, Julide & Connor, Peter M. & Truckell, Ian & Hart, Phil, 2021. "Energy transition at local level: Analyzing the role of peer effects and socio-economic factors on UK solar photovoltaic deployment," Energy Policy, Elsevier, vol. 148(PB).
   3. Takanobu Kosugi & Yoshiyuki Shimoda & Takayuki Tashiro, 2019. "Neighborhood influences on the diffusion of residential photovoltaic systems in Kyoto City, Japan," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 21(4), pages 477-505, October.

3. Müller, Sven & Rode, Johannes, 2013. "The adoption of photovoltaic systems in Wiesbaden, Germany," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 63680, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
   • Sven Müller & Johannes Rode, 2013. "The adoption of photovoltaic systems in Wiesbaden, Germany," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(5), pages 519-535, July.

   Cited by:

   1. Palm, A., 2020. "Early adopters and their motives: Differences between earlier and later adopters of residential solar photovoltaics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
   2. Alderete Peralta, Ali & Balta-Ozkan, Nazmiye & Longhurst, Philip, 2022. "Spatio-temporal modelling of solar photovoltaic adoption: An integrated neural networks and agent-based modelling approach," Applied Energy, Elsevier, vol. 305(C).
   3. Stefan Lamp, 2023. "Sunspots That Matter: The Effect of Weather on Solar Technology Adoption," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(4), pages 1179-1219, April.
      • Lamp, Stefan, 2018. "Sunspots that matter: the effect of weather on solar technology adoption," TSE Working Papers 18-879, Toulouse School of Economics (TSE).
   4. Braito, Michael & Flint, Courtney & Muhar, Andreas & Penker, Marianne & Vogel, Stefan, 2017. "Individual and collective socio-psychological patterns of photovoltaic investment under diverging policy regimes of Austria and Italy," Energy Policy, Elsevier, vol. 109(C), pages 141-153.
   5. Bruno Moreno Rodrigo de Freitas, 2020. "Quantifying the effect of regulated volumetric electriciy tariffs on residential PV adoption under net metering scheme," Working papers of CATT hal-02976874, HAL.
   6. Fabian Scheller & Isabel Doser & Daniel Sloot & Russell McKenna & Thomas Bruckner, 2020. "Exploring the Role of Stakeholder Dynamics in Residential Photovoltaic Adoption Decisions: A Synthesis of the Literature," Energies, MDPI, vol. 13(23), pages 1-31, November.
   7. Neij, Lena & Heiskanen, Eva & Strupeit, Lars, 2017. "The deployment of new energy technologies and the need for local learning," Energy Policy, Elsevier, vol. 101(C), pages 274-283.
   8. Emily Schulte & Fabian Scheller & Daniel Sloot & Thomas Bruckner, 2021. "A meta-analysis of residential PV adoption: the important role of perceived benefits, intentions and antecedents in solar energy acceptance," Papers 2112.12464, arXiv.org.
   9. Dannenberg, Astrid & Weingärtner, Eva, 2023. "The effects of observability and an information nudge on food choice," Journal of Environmental Economics and Management, Elsevier, vol. 120(C).
   10. Curtius, Hans Christoph & Hille, Stefanie Lena & Berger, Christian & Hahnel, Ulf Joachim Jonas & Wüstenhagen, Rolf, 2018. "Shotgun or snowball approach? Accelerating the diffusion of rooftop solar photovoltaics through peer effects and social norms," Energy Policy, Elsevier, vol. 118(C), pages 596-602.
   11. Rode, Johannes & Weber, Alexander, 2016. "Does Localized Imitation Drive Technology Adoption? A Case Study on Rooftop Photovoltaic Systems in Germany," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 134278, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
       • Rode, Johannes & Weber, Alexander, 2016. "Does localized imitation drive technology adoption? A case study on rooftop photovoltaic systems in Germany," Journal of Environmental Economics and Management, Elsevier, vol. 78(C), pages 38-48.
   12. Moncada, J.A. & Tao, Z. & Valkering, P. & Meinke-Hubeny, F. & Delarue, E., 2021. "Influence of distribution tariff structures and peer effects on the adoption of distributed energy resources," Applied Energy, Elsevier, vol. 298(C).
   13. Moon-Hyun Kim & Tae-Hyoung Tommy Gim, 2021. "Spatial Characteristics of the Diffusion of Residential Solar Photovoltaics in Urban Areas: A Case of Seoul, South Korea," IJERPH, MDPI, vol. 18(2), pages 1-16, January.
   14. Benedikt Maciosek & Mehdi Farsi & Sylvain Weber & Martin Jakob, 2022. "The role of tenants in the transition towards more sustainable energy consumption," IRENE Working Papers 22-08, IRENE Institute of Economic Research.
   15. Strupeit, Lars, 2017. "An innovation system perspective on the drivers of soft cost reduction for photovoltaic deployment: The case of Germany," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 273-286.
   16. Bruno Moreno Rodrigo de Freitas, 2020. "Quantifying the effect of regulated volumetric electriciy tariffs on residential PV adoption under net metering scheme," Working Papers hal-02976874, HAL.
   17. Benedikt Maciosek & Mehdi Farsi & Sylvain Weber & Martin Jakob, 2022. "Analysis of investment decisions based on homeowners' stated preferences: Policy measures, smart technologies and financing options," IRENE Working Papers 22-06, IRENE Institute of Economic Research.
   18. Sampson, Gabriel & Perry, Edward, 2018. "Peer Effects in the Diffusion of Water Saving Agricultural Technologies," 2018 Annual Meeting, August 5-7, Washington, D.C. 274300, Agricultural and Applied Economics Association.
       • Gabriel S. Sampson & Edward D. Perry, 2019. "Peer effects in the diffusion of water‐saving agricultural technologies," Agricultural Economics, International Association of Agricultural Economists, vol. 50(6), pages 693-706, November.
   19. Diego Comin & Johannes Rode, 2013. "From Green Users to Green Voters," NBER Working Papers 19219, National Bureau of Economic Research, Inc.
       • Comin, Diego & Rode, Johannes, 2013. "From Green Users to Green Voters," CEPR Discussion Papers 9573, C.E.P.R. Discussion Papers.
       • Comin, Diego & Rode, Johannes, 2013. "From Green Users to Green Voters," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 63678, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
   20. Li, Bo & Ding, Junqi & Wang, Jieqiong & Zhang, Biao & Zhang, Lingxian, 2021. "Key factors affecting the adoption willingness, behavior, and willingness-behavior consistency of farmers regarding photovoltaic agriculture in China," Energy Policy, Elsevier, vol. 149(C).
   21. Rode, Johannes & Müller, Sven, 2016. "Spatio-Temporal Variation in Peer Effects - The Case of Rooftop Photovoltaic Systems in Germany," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 84765, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
       • Johannes Rode & Sven Müller, 2016. "Spatio-temporal variation in peer effects - The case of rooftop photovoltaic systems in Germany," ERSA conference papers ersa16p579, European Regional Science Association.
   22. Axel Gautier & Julien Jacqmin, 2020. "PV adoption: the role of distribution tariffs under net metering," Journal of Regulatory Economics, Springer, vol. 57(1), pages 53-73, February.
       • Gautier, Axel & Jacqmin, Julien, 2020. "PV adoption: the role of distribution tariffs under net metering," LIDAM Reprints CORE 3120, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
   23. Balta-Ozkan, Nazmiye & Yildirim, Julide & Connor, Peter M. & Truckell, Ian & Hart, Phil, 2021. "Energy transition at local level: Analyzing the role of peer effects and socio-economic factors on UK solar photovoltaic deployment," Energy Policy, Elsevier, vol. 148(PB).
   24. Balta-Ozkan, Nazmiye & Le Gallo, Julie, 2018. "Spatial variation in energy attitudes and perceptions: Evidence from Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2160-2180.
       • Nazmiye Balta-Ozkan & Julie Le Gallo, 2018. "Spatial variation in energy attitudes and perceptions: Evidence from Europe," Post-Print hal-01868550, HAL.
   25. Balcombe, Paul & Rigby, Dan & Azapagic, Adisa, 2014. "Investigating the importance of motivations and barriers related to microgeneration uptake in the UK," Applied Energy, Elsevier, vol. 130(C), pages 403-418.
   26. Collier, Samuel H.C. & House, Jo I. & Connor, Peter M. & Harris, Richard, 2023. "Distributed local energy: Assessing the determinants of domestic-scale solar photovoltaic uptake at the local level across England and Wales," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
   27. Best, Rohan & Chareunsy, Andrea, 2022. "The impact of income on household solar panel uptake: Exploring diverse results using Australian data," Energy Economics, Elsevier, vol. 112(C).
   28. Müller, Jonas & Trutnevyte, Evelina, 2020. "Spatial projections of solar PV installations at subnational level: Accuracy testing of regression models," Applied Energy, Elsevier, vol. 265(C).
   29. Boqiang Lin & Huanyu Jia, 2023. "The role of peers in promoting energy conservation among Chinese university students," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
   30. Iwona Zdonek & Anna Mularczyk & Marian Turek & Stanisław Tokarski, 2023. "Perception of Prosumer Photovoltaic Technology in Poland: Usability, Ease of Use, Attitudes, and Purchase Intentions," Energies, MDPI, vol. 16(12), pages 1-18, June.
   31. Takanobu Kosugi & Yoshiyuki Shimoda & Takayuki Tashiro, 2019. "Neighborhood influences on the diffusion of residential photovoltaic systems in Kyoto City, Japan," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 21(4), pages 477-505, October.
   32. Endrejat, Paul C. & Güntner, Amelie V. & Ehrenholz, Sina & Kauffeld, Simone, 2020. "Tailored communication increases the perceived benefits of solar energy," Energy Policy, Elsevier, vol. 144(C).
   33. Noemi Munkacsi & Krushna Mahapatra, 2019. "Communication and Household Adoption of Heating Products in Hungary," Energies, MDPI, vol. 12(2), pages 1-22, January.
   34. Sampson, Gabriel & Perry, Edward & Hendricks, Nathan P., 2017. "The Role of Peer Effects in Resource Extraction - The Case of Kansas Groundwater," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258286, Agricultural and Applied Economics Association.
   35. Maren Springsklee & Fabian Scheller, 2022. "Exploring non-residential technology adoption: an empirical analysis of factors associated with the adoption of photovoltaic systems by municipal authorities in Germany," Papers 2212.05281, arXiv.org.
   36. Parkins, John R. & Rollins, Curtis & Anders, Sven & Comeau, Louise, 2018. "Predicting intention to adopt solar technology in Canada: The role of knowledge, public engagement, and visibility," Energy Policy, Elsevier, vol. 114(C), pages 114-122.
   37. Heiskanen, Eva & Matschoss, Kaisa, 2017. "Understanding the uneven diffusion of building-scale renewable energy systems: A review of household, local and country level factors in diverse European countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 580-591.
   38. Balta-Ozkan, Nazmiye & Yildirim, Julide & Connor, Peter M., 2015. "Regional distribution of photovoltaic deployment in the UK and its determinants: A spatial econometric approach," Energy Economics, Elsevier, vol. 51(C), pages 417-429.
   39. Balta-Ozkan, Nazmiye & Watson, Tom & Mocca, Elisabetta, 2015. "Spatially uneven development and low carbon transitions: Insights from urban and regional planning," Energy Policy, Elsevier, vol. 85(C), pages 500-510.

Articles

1. Müller, Sven & Mejia-Dorantes, Lucia & Kersten, Elisa, 2020. "Analysis of active school transportation in hilly urban environments: A case study of Dresden," Journal of Transport Geography, Elsevier, vol. 88(C).

   Cited by:

   1. Dorothea M. I. Schönbach & Catherina Brindley & Anne K Reimers & Adilson Marques & Yolanda Demetriou, 2020. "Socio-Demographic Correlates of Cycling to School among 12- to 15-Year Olds in Southern Germany," IJERPH, MDPI, vol. 17(24), pages 1-11, December.
   2. Greg Rybarczyk & Ayse Ozbil & Demet Yesiltepe & Gorsev Argin, 2023. "Walking alone or walking together: A spatial evaluation of children’s travel behavior to school," Environment and Planning B, , vol. 50(9), pages 2560-2578, November.
   3. Bertha Santos & Sílvia Passos & Jorge Gonçalves & Isabel Matias, 2022. "Spatial Multi-Criteria Analysis for Road Segment Cycling Suitability Assessment," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
   4. Gen Hayauchi & Ryo Ariyoshi & Takayuki Morikawa & Fumihiko Nakamura, 2023. "Assessment of the Improvement of Public Transport in Hillside Cities Considering the Impact of Topography on Walking Choices," Sustainability, MDPI, vol. 15(12), pages 1-12, June.
   5. Yuanyuan Zhu & John Aloysius Zinda & Qin Liu & Yukuan Wang & Bin Fu & Ming Li, 2023. "Accessibility of Primary Schools in Rural Areas and the Impact of Topography: A Case Study in Nanjiang County, China," Land, MDPI, vol. 12(6), pages 1-18, May.
   6. Dias, Charitha & Abdullah, Muhammad & Lovreglio, Ruggiero & Sachchithanantham, Sumana & Rekatheeban, Markkandu & Sathyaprasad, I.M.S., 2022. "Exploring home-to-school trip mode choices in Kandy, Sri Lanka," Journal of Transport Geography, Elsevier, vol. 99(C).

2. Knut Haase & Mathias Kasper & Matthes Koch & Sven Müller, 2019. "A Pilgrim Scheduling Approach to Increase Safety During the Hajj," Operations Research, INFORMS, vol. 67(2), pages 376-406, March.

   Cited by:

   1. Huo, Feizhou & Li, Yufei & Li, Chao & Ma, Yaping, 2022. "An extended model describing pedestrian evacuation considering pedestrian crowding and stampede behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
   2. Gilles Pache, 2023. "Tourisme religieux : de quoi la logistique urbaine est-elle le nom ?," Post-Print hal-03973981, HAL.

3. Knut Haase & Habib Zain Al Abideen & Salim Al-Bosta & Mathias Kasper & Matthes Koch & Sven Müller & Dirk Helbing, 2016. "Improving Pilgrim Safety During the Hajj: An Analytical and Operational Research Approach," Interfaces, INFORMS, vol. 46(1), pages 74-90, February.

   Cited by:

   1. Knut Haase & Mathias Kasper & Matthes Koch & Sven Müller, 2019. "A Pilgrim Scheduling Approach to Increase Safety During the Hajj," Operations Research, INFORMS, vol. 67(2), pages 376-406, March.
   2. Justus Bonz, 2021. "Application of a multi-objective multi traveling salesperson problem with time windows," Public Transport, Springer, vol. 13(1), pages 35-57, March.
   3. Aniket, Kumar, 2018. "Solow-Swan growth model with global capital markets and congestible public goods," MPRA Paper 87844, University Library of Munich, Germany.

4. Haase, Knut & Müller, Sven, 2014. "A comparison of linear reformulations for multinomial logit choice probabilities in facility location models," European Journal of Operational Research, Elsevier, vol. 232(3), pages 689-691.

   Cited by:

   1. Juan Carlos Espinoza Garcia & Laurent Alfandari, 2018. "Robust location of new housing developments using a choice model," Annals of Operations Research, Springer, vol. 271(2), pages 527-550, December.
   2. Freire, Alexandre S. & Moreno, Eduardo & Yushimito, Wilfredo F., 2016. "A branch-and-bound algorithm for the maximum capture problem with random utilities," European Journal of Operational Research, Elsevier, vol. 252(1), pages 204-212.
   3. Lin, Yun Hui & Wang, Yuan & He, Dongdong & Lee, Loo Hay, 2020. "Last-mile delivery: Optimal locker location under multinomial logit choice model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
   4. Ljubić, Ivana & Moreno, Eduardo, 2018. "Outer approximation and submodular cuts for maximum capture facility location problems with random utilities," European Journal of Operational Research, Elsevier, vol. 266(1), pages 46-56.
   5. Georg Bechler & Claudius Steinhardt & Jochen Mackert, 2021. "On the Linear Integration of Attraction Choice Models in Business Optimization Problems," SN Operations Research Forum, Springer, vol. 2(1), pages 1-13, March.
   6. Mejía, Gonzalo & Aránguiz, Raúl & Espejo-Díaz, Julián Alberto & Granados-Rivera, Daniela & Mejía-Argueta, Christopher, 2023. "Can street markets be a sustainable strategy to mitigate food insecurity in emerging countries? Insights from a competitive facility location model," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
   7. Mai, Tien & Lodi, Andrea, 2020. "A multicut outer-approximation approach for competitive facility location under random utilities," European Journal of Operational Research, Elsevier, vol. 284(3), pages 874-881.
   8. Zhang, Yue & Atkins, Derek, 2019. "Medical facility network design: User-choice and system-optimal models," European Journal of Operational Research, Elsevier, vol. 273(1), pages 305-319.
   9. Espinoza Garcia, Juan Carlos & Alfandari, Laurent, 2015. "Robust location of new housing developments using a choice model," ESSEC Working Papers WP1521, ESSEC Research Center, ESSEC Business School.
   10. Juan Carlos Espinoza Garcia & Laurent Alfandari, 2015. "Robust location of new housing developments using a choice model," Working Papers hal-01230621, HAL.
   11. Basciftci, Beste & Ahmed, Shabbir & Shen, Siqian, 2021. "Distributionally robust facility location problem under decision-dependent stochastic demand," European Journal of Operational Research, Elsevier, vol. 292(2), pages 548-561.
   12. Steven Lamontagne & Margarida Carvalho & Emma Frejinger & Bernard Gendron & Miguel F. Anjos & Ribal Atallah, 2023. "Optimising Electric Vehicle Charging Station Placement Using Advanced Discrete Choice Models," INFORMS Journal on Computing, INFORMS, vol. 35(5), pages 1195-1213, September.
   13. Méndez-Vogel, Gonzalo & Marianov, Vladimir & Lüer-Villagra, Armin & Eiselt, H.A., 2023. "Store location with multipurpose shopping trips and a new random utility customers’ choice model," European Journal of Operational Research, Elsevier, vol. 305(2), pages 708-721.
   14. Zhang, Yue, 2015. "Designing a retail store network with strategic pricing in a competitive environment," International Journal of Production Economics, Elsevier, vol. 159(C), pages 265-273.
   15. Lin, Yun Hui & Tian, Qingyun, 2021. "Branch-and-cut approach based on generalized benders decomposition for facility location with limited choice rule," European Journal of Operational Research, Elsevier, vol. 293(1), pages 109-119.
   16. Ngan Ha Duong & Tien Thanh Dam & Thuy Anh Ta & Tien Mai, 2022. "Joint Location and Cost Planning in Maximum Capture Facility Location under Multiplicative Random Utility Maximization," Papers 2205.07345, arXiv.org, revised Feb 2023.
   17. Zhang, Yue & Liang, Liping & Liu, Emma & Chen, Chong & Atkins, Derek, 2016. "Patient choice analysis and demand prediction for a health care diagnostics company," European Journal of Operational Research, Elsevier, vol. 251(1), pages 198-205.
   18. Laurent Alfandari & Victoire Denoyel & Aurélie Thiele, 2020. "Solving utility-maximization selection problems with Multinomial Logit demand: Is the First-Choice model a good approximation?," Annals of Operations Research, Springer, vol. 292(1), pages 553-573, September.
   19. Lin, Yunhui & Wang, Yuan & Lee, Loo Hay & Chew, Ek Peng, 2022. "Profit-maximizing parcel locker location problem under threshold Luce model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
   20. Ralf Krohn & Sven Müller & Knut Haase, 2021. "Preventive healthcare facility location planning with quality-conscious clients," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(1), pages 59-87, March.
   21. Cornelia Schön & Pratibha Saini, 2018. "Market-Oriented Service Network Design When Demand is Sensitive to Congestion," Transportation Science, INFORMS, vol. 52(5), pages 1253-1275, October.
   22. Zhou, Bojian & Li, Xuhong & He, Jie, 2014. "Exploring trust region method for the solution of logit-based stochastic user equilibrium problem," European Journal of Operational Research, Elsevier, vol. 239(1), pages 46-57.
   23. Méndez-Vogel, Gonzalo & Marianov, Vladimir & Lüer-Villagra, Armin, 2023. "The follower competitive facility location problem under the nested logit choice rule," European Journal of Operational Research, Elsevier, vol. 310(2), pages 834-846.
   24. Hartleb, J. & Schmidt, M.E., 2019. "Railway timetabling with integrated passenger distribution," ERIM Report Series Research in Management ERS-2019-012-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
   25. Hartleb, Johann & Schmidt, Marie, 2022. "Railway timetabling with integrated passenger distribution," European Journal of Operational Research, Elsevier, vol. 298(3), pages 953-966.
   26. Teodora Dan & Patrice Marcotte, 2019. "Competitive Facility Location with Selfish Users and Queues," Operations Research, INFORMS, vol. 67(2), pages 479-497, March.

5. Haase, Knut & Müller, Sven, 2014. "Upper and lower bounds for the sales force deployment problem with explicit contiguity constraints," European Journal of Operational Research, Elsevier, vol. 237(2), pages 677-689.

   Cited by:

   1. Baghersad, Milad & Emadikhiav, Mohsen & Huang, C. Derrick & Behara, Ravi S., 2023. "Modularity maximization to design contiguous policy zones for pandemic response," European Journal of Operational Research, Elsevier, vol. 304(1), pages 99-112.
   2. Knut Haase & Habib Zain Al Abideen & Salim Al-Bosta & Mathias Kasper & Matthes Koch & Sven Müller & Dirk Helbing, 2016. "Improving Pilgrim Safety During the Hajj: An Analytical and Operational Research Approach," Interfaces, INFORMS, vol. 46(1), pages 74-90, February.

6. Haase, Knut & Müller, Sven, 2013. "Management of school locations allowing for free school choice," Omega, Elsevier, vol. 41(5), pages 847-855.

   Cited by:

   1. Roemer, Nils & Müller, Sven & Voigt, Guido, 2023. "A choice-based optimization approach for contracting in supply chains," European Journal of Operational Research, Elsevier, vol. 305(1), pages 271-286.
   2. Mai, Tien & Lodi, Andrea, 2020. "A multicut outer-approximation approach for competitive facility location under random utilities," European Journal of Operational Research, Elsevier, vol. 284(3), pages 874-881.
   3. Pacheco Paneque, Meritxell & Bierlaire, Michel & Gendron, Bernard & Sharif Azadeh, Shadi, 2021. "Integrating advanced discrete choice models in mixed integer linear optimization," Transportation Research Part B: Methodological, Elsevier, vol. 146(C), pages 26-49.
   4. Haase, Knut & Müller, Sven, 2014. "A comparison of linear reformulations for multinomial logit choice probabilities in facility location models," European Journal of Operational Research, Elsevier, vol. 232(3), pages 689-691.
   5. Ralf Krohn & Sven Müller & Knut Haase, 2021. "Preventive healthcare facility location planning with quality-conscious clients," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(1), pages 59-87, March.
   6. Mayerle, Sérgio F. & Rodrigues, Hidelbrando F. & Neiva de Figueiredo, João & De Genaro Chiroli, Daiane M., 2022. "Optimal student/school/class/teacher/classroom matching to support efficient public school system resource allocation," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
   7. Murray, Alan T., 2016. "Assessing the impacts of traditional school year calendar start dates," Socio-Economic Planning Sciences, Elsevier, vol. 54(C), pages 28-36.
   8. Müller, Sven & Mejia-Dorantes, Lucia & Kersten, Elisa, 2020. "Analysis of active school transportation in hilly urban environments: A case study of Dresden," Journal of Transport Geography, Elsevier, vol. 88(C).
   9. Berman, Oded & Sanajian, Nima & Wang, Jiamin, 2017. "Location choice and risk attitude of a decision maker," Omega, Elsevier, vol. 66(PA), pages 170-181.
   10. Liao, Cong & Scheuer, Bronte & Dai, Teqi & Tian, Yuan, 2020. "Optimizing the spatial assignment of schools to reduce both inequality of educational opportunity and potential opposition rate through introducing random mechanism into proximity-based system," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).

7. Sven Müller & Johannes Rode, 2013. "The adoption of photovoltaic systems in Wiesbaden, Germany," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(5), pages 519-535, July.
   • Müller, Sven & Rode, Johannes, 2013. "The adoption of photovoltaic systems in Wiesbaden, Germany," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 63680, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
   See citations under working paper version above.
8. Sven Müller, 2012. "Identifying spatial nonstationarity in German regional firm start-up data," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 32(2), pages 113-132, September.

   Cited by:

   1. Katharina Pijnenburg, 2013. "Self-Employment and Economic Performance: A Geographically Weighted Regression Approach for European Regions," Discussion Papers of DIW Berlin 1272, DIW Berlin, German Institute for Economic Research.

9. Müller, Sven & Tscharaktschiew, Stefan & Haase, Knut, 2008. "Travel-to-school mode choice modelling and patterns of school choice in urban areas," Journal of Transport Geography, Elsevier, vol. 16(5), pages 342-357.

   Cited by:

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   4. Zwerts, Enid & Allaert, Georges & Janssens, Davy & Wets, Geert & Witlox, Frank, 2010. "How children view their travel behaviour: a case study from Flanders (Belgium)," Journal of Transport Geography, Elsevier, vol. 18(6), pages 702-710.
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   6. Haimei Li & Li Han & Yibin Ao & Yan Wang & Tong Wang, 2022. "Influences of the Built Environment on Rural School Children’s Travel Mode Choice: The Case of Chengdu," IJERPH, MDPI, vol. 19(15), pages 1-18, July.
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   16. Jaroslav Burian & Lenka Zajíčková & Igor Ivan & Karel Macků, 2018. "Attitudes and Motivation to Use Public or Individual Transport: A Case Study of Two Middle-Sized Cities," Social Sciences, MDPI, vol. 7(6), pages 1-25, May.
   17. Zhao, Jinbao & Wang, Jian & Xing, Zhaomin & Luan, Xin & Jiang, Yang, 2018. "Weather and cycling: Mining big data to have an in-depth understanding of the association of weather variability with cycling on an off-road trail and an on-road bike lane," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 119-135.
   18. Georg Hirte & Stefan Tscharaktschiew, 2015. "Optimal Fuel Taxes and Heterogeneity of Cities," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 35(2), pages 173-209, October.
   19. Sven Müller & Knut Haase & Sascha Kless, 2009. "A Multiperiod School Location Planning Approach with Free School Choice," Environment and Planning A, , vol. 41(12), pages 2929-2945, December.
   20. Yue Liu & Jun Chen & Weiguang Wu & Jiao Ye, 2019. "Typical Combined Travel Mode Choice Utility Model in Multimodal Transportation Network," Sustainability, MDPI, vol. 11(2), pages 1-15, January.
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   22. Kelly, J. Andrew & Fu, Miao, 2014. "Sustainable school commuting – understanding choices and identifying opportunities," Journal of Transport Geography, Elsevier, vol. 34(C), pages 221-230.
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   24. Pan Wu & Jinlong Li & Yuzhuang Pian & Xiaochen Li & Zilin Huang & Lunhui Xu & Guilin Li & Ruonan Li, 2022. "How Determinants Affect Transfer Ridership between Metro and Bus Systems: A Multivariate Generalized Poisson Regression Analysis Method," Sustainability, MDPI, vol. 14(15), pages 1-31, August.
   25. Böcker, Lars & Prillwitz, Jan & Dijst, Martin, 2013. "Climate change impacts on mode choices and travelled distances: a comparison of present with 2050 weather conditions for the Randstad Holland," Journal of Transport Geography, Elsevier, vol. 28(C), pages 176-185.
   26. Haase, Knut & Hoppe, Mirko, 2008. "Standortplanung unter Wettbewerb - Teil 2: Integration diskreter Wahlentscheidungen," Discussion Papers 3/2008, Technische Universität Dresden, "Friedrich List" Faculty of Transport and Traffic Sciences, Institute of Transport and Economics.
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   30. Collin-Lange, Virgile & Benediktsson, Karl, 2011. "Entering the regime of automobility: car ownership and use by novice drivers in Iceland," Journal of Transport Geography, Elsevier, vol. 19(4), pages 851-858.
   31. Helbich, Marco & Böcker, Lars & Dijst, Martin, 2014. "Geographic heterogeneity in cycling under various weather conditions: evidence from Greater Rotterdam," Journal of Transport Geography, Elsevier, vol. 38(C), pages 38-47.
   32. Cheng, Lin & Chen, Chen & Xiu, Chunliang, 2017. "Excess kindergarten travel in Changchun, Northeast China: A measure of residence-kindergarten spatial mismatch," Journal of Transport Geography, Elsevier, vol. 60(C), pages 208-216.
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   41. Khaled J. Assi & Md Shafiullah & Kh Md Nahiduzzaman & Umer Mansoor, 2019. "Travel-To-School Mode Choice Modelling Employing Artificial Intelligence Techniques: A Comparative Study," Sustainability, MDPI, vol. 11(16), pages 1-12, August.
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NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-ENE: Energy Economics (2) 2020-02-24 2020-11-23
2. NEP-DCM: Discrete Choice Models (1) 2020-11-23
3. NEP-ENV: Environmental Economics (1) 2020-02-24
4. NEP-NET: Network Economics (1) 2020-11-23
5. NEP-SOC: Social Norms and Social Capital (1) 2020-11-23
6. NEP-URE: Urban and Real Estate Economics (1) 2020-11-23

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