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Urban energy flux: Spatiotemporal fluctuations of building energy consumption and human mobility-driven prediction. (2017). Mohammadi, Neda ; Taylor, John E.
In: Applied Energy.
RePEc:eee:appene:v:195:y:2017:i:c:p:810-818.

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  2. Using rooftop photovoltaic generation to cover individual electric vehicle demand—A detailed case study. (2022). Raubal, M ; Hamper, J ; Bucher, D ; Buffat, R ; Martin, H.
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  3. Prediction of energy use intensity of urban buildings using the semi-supervised deep learning model. (2022). Ding, Yuexiong ; Li, Zheng ; Ma, Jun ; Jiang, Feifeng.
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  4. Occupant behavior modeling methods for resilient building design, operation and policy at urban scale: A review. (2021). Osman, Mohamed ; Carlucci, Salvatore ; Ouf, Mohamed ; Azar, Elie ; Fontenot, Hannah ; Zhang, Xingxing ; Liu, Yapan ; Dong, Bing ; Jin, Yuan ; Yan, DA ; Xue, Hao ; Salim, Flora ; Qin, Shuxu ; Chong, Adrian.
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  5. Urban building energy modeling: State of the art and future prospects. (2020). Widen, J ; Zhao, X ; Sadeghian, P ; Peronato, G ; Johari, F.
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  6. A novel mobility-based approach to derive urban-scale building occupant profiles and analyze impacts on building energy consumption. (2020). Liu, Yapan ; An, Jingjing ; Yan, DA ; Kong, Meng ; Wang, QI ; Dong, Bing ; Wu, Wenbo.
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  7. Building to vehicle to building concept toward a novel zero energy paradigm: Modelling and case studies. (2019). Barone, G ; Palombo, A ; Forzano, C ; Calise, F ; Buonomano, A.
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  8. Vector field-based support vector regression for building energy consumption prediction. (2019). Wang, Jiajun ; Zhong, Hai ; Lv, Shilei ; Mu, Yunfei ; Jia, Hongjie.
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  9. Future energy use and CO2 emissions of urban passenger transport in China: A travel behavior and urban form based approach. (2018). Li, Peilin ; Brand, Christian ; Zhao, Pengjun.
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  10. Urban infrastructure-mobility energy flux. (2017). Taylor, John E ; Mohammadi, Neda.
    In: Energy.
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  32. Journey-based characterization of multi-modal public transportation networks. (2017). Attanucci, John ; Koutsopoulos, Haris N ; Viggiano, Cecilia.
    In: Public Transport.
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  33. Influence of the Fare Funding Type on Public Transport Demand – Case of Pilsen. (2017). Plevn, Miroslav.
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    RePEc:rom:rampas:v:2017:y:2017:i:28:p:45-66.

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  34. Structure of 311 service requests as a signature of urban location. (2017). Sobolevsky, Stanislav ; Kontokosta, Constantine ; Kats, Philipp ; Qian, Cheng ; Wang, Lingjing.
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  35. Isolating high-priority metro and feeder bus transfers using smart card data. (2017). Ryerson, Megan S ; Woodburn, Amber ; Wang, Wei ; Zhao, DE.
    In: Transportation.
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  36. Crowding cost estimation with large scale smart card and vehicle location data. (2017). Anderson, Richard J ; Horcher, Daniel ; Graham, Daniel J.
    In: Transportation Research Part B: Methodological.
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  37. A probabilistic Passenger-to-Train Assignment Model based on automated data. (2017). Zhu, Yiwen ; Koutsopoulos, Haris N.
    In: Transportation Research Part B: Methodological.
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  38. Using metro smart card data to model location choice of after-work activities: An application to Shanghai. (2017). Wang, Yihong ; Timmermans, H. J. P., ; Timmermans,H. J. P., ; De Romph, Erik ; de Almeida, Gonalo Homem.
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  39. Analysing the spatial-temporal characteristics of bus travel demand using the heat map. (2017). Yu, Chang ; He, Zhao-Cheng.
    In: Journal of Transport Geography.
    RePEc:eee:jotrge:v:58:y:2017:i:c:p:247-255.

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  40. Urban energy flux: Spatiotemporal fluctuations of building energy consumption and human mobility-driven prediction. (2017). Mohammadi, Neda ; Taylor, John E.
    In: Applied Energy.
    RePEc:eee:appene:v:195:y:2017:i:c:p:810-818.

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  41. Cities through the Prism of People’s Spending Behavior. (2016). Ratti, Carlo ; Arias, Juan Murillo ; Hawelka, Bartosz ; Des, Remi Tachet ; Sitko, Izabela ; Sobolevsky, Stanislav.
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  42. Precise estimation of connections of metro passengers from Smart Card data. (2016). Min, Yun-Hong ; Kim, Kyungmin ; Park, Myoung-Ju ; Oh, Suk Mun ; Hong, Sung-Pil.
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    RePEc:kap:transp:v:43:y:2016:i:5:d:10.1007_s11116-015-9617-y.

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  43. The Fourth Wave of Digitalization and Public Transport: Opportunities and Challenges. (2016). Hajinasab, Banafsheh ; Persson, Jan A ; Holmgren, Johan ; Jevinger, SE ; Davidsson, Paul.
    In: Sustainability.
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  44. The effect of slow zones on ridership: An analysis of the Chicago Transit Authority “El” Blue Line. (2016). Bernal, Margarita ; Sriraj, P S ; Welch, Eric W.
    In: Transportation Research Part A: Policy and Practice.
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  45. Estimation of a route choice model for urban public transport using smart card data. (2014). Kohni, Michal .
    In: Transportation Planning and Technology.
    RePEc:taf:transp:v:37:y:2014:i:7:p:638-648.

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  46. Examining the spatial–temporal dynamics of bus passenger travel behaviour using smart card data and the flow-comap. (2014). Tao, Sui ; Corcoran, Jonathan ; Rohde, David .
    In: Journal of Transport Geography.
    RePEc:eee:jotrge:v:41:y:2014:i:c:p:21-36.

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  47. Geodemographic analysis and the identification of potential business partnerships enabled by transit smart cards. (2011). Paez, Antonio ; Trepanier, Martin ; Morency, Catherine.
    In: Transportation Research Part A: Policy and Practice.
    RePEc:eee:transa:v:45:y:2011:i:7:p:640-652.

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  48. Estimation method for railway passengers’ train choice behavior with smart card transaction data. (2010). Asakura, Yasuo ; Iryo, Takamasa ; Kusakabe, Takahiko.
    In: Transportation.
    RePEc:kap:transp:v:37:y:2010:i:5:p:731-749.

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  49. Impacts of free concessionary travel: Case study of an English rural region. (2010). White, Peter ; Baker, Stuart .
    In: Transport Policy.
    RePEc:eee:trapol:v:17:y:2010:i:1:p:20-26.

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  50. Measuring transit use variability with smart-card data. (2007). Agard, Bruno ; Trepanier, Martin ; Morency, Catherine.
    In: Transport Policy.
    RePEc:eee:trapol:v:14:y:2007:i:3:p:193-203.

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