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Transport mode choice in South East Asia: Investigating the relationship between transport users’ perception and travel behaviour in Johor Bahru, Malaysia
16 references·16 citing·43 second hopsampled
Transport mode choice in South East Asia: Investigating the relationship between transport users’ perception and travel behaviour in Johor Bahru, Malaysia (2015)Transport mode choice in South East Asia:…Preparing For Peace (2015)Preparing For PeaceQuality attributes of public transport that attract car users: A research review (2012)Quality attributes of public …How in-vehicle activities affect work commuters’ satisfaction with public transport (2012)How in-vehicle activities aff…Informal transport: A global perspective (2007)Informal transport: A global …Cultures and organizations: software of the mind (2005)Cultures and organizations: s…Car use: lust and must. Instrumental, symbolic and affective motives for car use (2004)Car use: lust and must. Instr…Socioeconomics of Urban Travel: Evidence from the 2001 NHTS (2003)Socioeconomics of Urban Trave…Urban Form and Travel Behaviour: Micro-level Household Attributes and Residential Context (2002)Urban Form and Travel Behavio…Built environments and mode choice: toward a normative framework (2002)Built environments and mode c…A roster of world cities (1999)A roster of world citiesWorld Urbanization Prospects: The 1996 Revision (1998)World Urbanization Prospects:…Preparing for peace: conflict transformation across cultures (1996)Preparing for peace: conflict…The social psychology of material possessions: to have is to be (1993)The social psychology of mate…The social psychology of material possessions: to have is to be (1993)The social psychology of mate…Cultures and Organizations: Software of the Mind. (1993)Cultures and Organizations: S…The theory of planned behavior (1991)The theory of planned behaviorTwo-Step Cluster Analysis of Passenger Mobility Segmentation during the COVID-19 Pandemic (2023)Two-Step Cluster Analysis of …Travel Mode Choice Modeling: Predictive Efficacy between Machine Learning Models and Discrete Choice Model (2021)Travel Mode Choice Modeling: …Towards decolonial human subjects in research on transport (2020)Towards decolonial human subj…How do the perceptions of neighborhood conditions impact active transportation? A study in Rajshahi, Bangladesh (2020)How do the perceptions of nei…Consumers’ intentions to use ridesharing services in Iran (2020)Consumers’ intentions to use …Transportation mode choice binary logit model: a case study for Johor Bahru city (2019)Transportation mode choice bi…Ranking factors affecting public transport mode choice of commuters in an urban city of a developing country using analytic hierarchy process: The case of Metro Cebu, Philippines (2019)Ranking factors affecting pub…Generational differences in attitudes towards car, car ownership and car use in Beijing (2019)Generational differences in a…Context-Adapted Urban Planning for Rapid Transitioning of Personal Mobility towards Sustainability: A Systematic Literature Review (2019)Context-Adapted Urban Plannin…Who uses smart card? Understanding public transport payment preference in developing contexts, a case study of Manila's LRT-1 (2018)Who uses smart card? Understa…Using thematic analysis to explore symbolism in transport choice across national cultures (2018)Using thematic analysis to ex…Exploring the Positive Utility of Travel and Mode Choice (2017)Exploring the Positive Utilit…Comparing public bus transport service attributes in Delhi and Mumbai: Policy implications for improving bus services in Delhi (2017)Comparing public bus transpor…Retail Mobility Environments: A methodological framework for integrating retail activity and non-motorised accessibility in Zaragoza, Spain (2016)Retail Mobility Environments:…Estimating motorized travel mode choice using classifiers: An application for high-dimensional multicollinear data (2016)Estimating motorized travel m…Commuter's sensitivity in mode choice: An empirical study of New Delhi (2016)Commuter's sensitivity in mod…The Handbook of Research Synthesis (1995)The Handbook of Research Synthesis. 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References

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  • 1993The social psychology of material possessions: to have is to be361 cited
  • 2012

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How in-vehicle activities affect work commuters’ satisfaction with public transport
348 cited

Cited by

  • 2019Ranking factors affecting public transport mode choice of commuters in an urban city of a developing country using analytic hierarchy process: The case of Metro Cebu, Philippines65 cited
  • 2017Comparing public bus transport service attributes in Delhi and Mumbai: Policy implications for improving bus services in Delhi63 cited
  • 2020Consumers’ intentions to use ridesharing services in Iran62 cited
  • 2019Generational differences in attitudes towards car, car ownership and car use in Beijing58 cited
  • 2016Estimating motorized travel mode choice using classifiers: An application for high-dimensional multicollinear data51 cited
  • 2019Context-Adapted Urban Planning for Rapid Transitioning of Personal Mobility towards Sustainability: A Systematic Literature Review49 cited
  • 2016Retail Mobility Environments: A methodological framework for integrating retail activity and non-motorised accessibility in Zaragoza, Spain48 cited
  • 2018Using thematic analysis to explore symbolism in transport choice across national cultures38 cited
  • 2023Two-Step Cluster Analysis of Passenger Mobility Segmentation during the COVID-19 Pandemic35 cited
  • 2019Transportation mode choice binary logit model: a case study for Johor Bahru city31 cited
  • 2020How do the perceptions of neighborhood conditions impact active transportation? A study in Rajshahi, Bangladesh29 cited
  • 2020Towards decolonial human subjects in research on transport24 cited
  • 2016Commuter's sensitivity in mode choice: An empirical study of New Delhi21 cited
  • 2018Who uses smart card? Understanding public transport payment preference in developing contexts, a case study of Manila's LRT-121 cited
  • 2017Exploring the Positive Utility of Travel and Mode Choice21 cited
  • 2021Travel Mode Choice Modeling: Predictive Efficacy between Machine Learning Models and Discrete Choice Model19 cited