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Daily travel behaviour in Beijing, China: An analysis of workers' trip chains, and the role of socio-demographics and urban form
16 references·16 citing·51 second hopsampled
Daily travel behaviour in Beijing, China: An analysis of workers' trip chains, and the role of socio-demographics and urban form (2014)Daily travel behaviour in Beijing, China:…Travel and the Built Environment (2010)Travel and the Built Environm…Sustainable urban expansion and transportation in a growing megacity: Consequences of urban sprawl for mobility on the urban fringe of Beijing (2009)Sustainable urban expansion a…The jobs–housing relationship and commuting in Beijing, China: the legacy of Danwei (2008)The jobs–housing relationship…Urban Transport Trends and Policies in China and India: Impacts of Rapid Economic Growth (2007)Urban Transport Trends and Po…Urban form, travel time, and cost relationships with tour complexity and mode choice (2007)Urban form, travel time, and …Role of the built environment on mode choice decisions: additional evidence on the impact of density (2007)Role of the built environment…Open space, residential property values, and spatial context (2006)Open space, residential prope…An exploration of the relationship between mode choice and complexity of trip chaining patterns (2006)An exploration of the relatio…Urban Form and Travel Behaviour: Micro-level Household Attributes and Residential Context (2002)Urban Form and Travel Behavio…The influence of land use on travel behavior: specification and estimation strategies (2001)The influence of land use on …Activity-based disaggregate travel demand model system with activity schedules (2001)Activity-based disaggregate t…Trip chaining as a barrier to the propensity to use public transport (2000)Trip chaining as a barrier to…Examining Trip-Chaining Behavior: Comparison of Travel by Men and Women (1999)Examining Trip-Chaining Behav…China Statistical Yearbook 1998 (1998)China Statistical Yearbook 19…China statistical yearbook (1988)China statistical yearbookAn evaluation of activity-based travel analysis (1988)An evaluation of activity-bas…How to incorporate machine learning and microsimulation tools in travel demand forecasting in multi-modal networks (2024)How to incorporate machine le…How do built environment characteristics influence bus use patterns across neighbourhood types in Beijing? A machine-learning analysis (2024)How do built environment char…Telecommuting and trip chaining: Pre-pandemic patterns and implications for the post-pandemic world (2022)Telecommuting and trip chaini…A comprehensive review of trip generation models based on land use characteristics (2022)A comprehensive review of tri…Literature review on urban transport equity in transitional China: From empirical studies to universal knowledge (2021)Literature review on urban tr…Identifying and understanding road-constrained areas of interest (AOIs) through spatiotemporal taxi GPS data: A case study in New York City (2021)Identifying and understanding…Gender and income based variability in travel choices in Vishakhapatnam, India (2020)Gender and income based varia…What did urban studies do for women? A systematic review of 40 years of research (2019)What did urban studies do for…Travel mode choices in small cities of China: A case study of Changting (2018)Travel mode choices in small …The built environment and trip chaining behaviour revisited: The joint effects of the modifiable areal unit problem and tour purpose (2018)The built environment and tri…Role of the built environment on trip-chaining behavior: an investigation of workers and non-workers in Halifax, Nova Scotia (2018)Role of the built environment…Are relocatees different from others? Relocatee’s travel mode choice and travel equity analysis in large-scale residential areas on the periphery of megacity Shanghai, China (2018)Are relocatees different from…Do built environment effects on travel behavior differ between household members? A case study of Nanjing, China (2017)Do built environment effects …Analysis of travel time and mode choice shift for non-work stops in commuting: case study of Beijing, China (2016)Analysis of travel time and m…An exploration of the relationships between socioeconomics, land use and daily trip chain pattern among low-income residents (2016)An exploration of the relatio…Holiday travel behavior analysis and empirical study under integrated multimodal travel information service (2015)Holiday travel behavior analy…Impacts of Mixed Use and Density on Utilization of Three Modes of Travel: Single-Occupant Vehicle, Transit, and Walking (1994)Urban mobility and urban form: the social and environmental costs of different patterns of urban expansion (2002)The sustainable mobility paradigm (2007)Sustainable urbanization in China: A comprehensive literature review (2016)Deciphering the spatial structure of China's megacity region: A new bay area—The Guangdong-Hong Kong-Macao Greater Bay Area in the making (2018)Evaluation of sustainable transport research in 2000–2019 (2020)A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area (1997)Travel and the Built Environment: A Synthesis (2001)The Compact City (2003)The influence of socioeconomic characteristics, land use and travel time considerations on mode choice for medium- and longer-distance trips (2005)Car ownership as a mediating variable in car travel behaviour research using a structural equation modelling approach to identify its dual relationship (2009)A comparative study of machine learning classifiers for modeling travel mode choice (2017)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Discrete choice analysis: Theory and application to travel demand (1988)Activity-based models of travel demand: promises, progress and prospects (2013)Does active commuting improve psychological wellbeing? Longitudinal evidence from eighteen waves of the British Household Panel Survey (2014)Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures (2003)Obesity relationships with community design, physical activity, and time spent in cars (2004)Out-of-home activities, daily travel, and subjective well-being (2010)GIS based destination accessibility via public transit and walking in Auckland, New Zealand (2011)A Course in Microeconomic Theory (1990)Travel demand and the 3Ds: Density, diversity, and design (1997)The New Geography of Contemporary Urbanization and the Environment (2010)When Transport Geography Meets Social Psychology: Toward a Conceptual Model of Travel Behaviour (2010)Satisfaction with the commute: The role of travel mode choice, built environment and attitudes (2016)A Course in Microeconomic Theory (2020)Private Demands for Public Goods (1973)Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition (1974)The value of urban open space: Meta-analyses of contingent valuation and hedonic pricing results (2011)The Measurement of Environmental and Resource Values (2014)New scholarly pathways on green gentrification: What does the urban ‘green turn’ mean and where is it going? (2018)Place value: place quality and its impact on health, social, economic and environmental outcomes (2018)Conditional logit analysis of qualitative choice behavior (1972)A New Approach to Consumer Theory (1976)Creating synthetic baseline populations (1996)Space-time accessibility measures: A geocomputational algorithm with a focus on the feasible opportunity set and possible activity duration (2003)Issues in Science and Technology (2000)Still Stuck in Traffic: Coping with Peak-Hour Traffic Congestion (2004)Transit Route Network Design Problem: Review (2009)Urbanisation and health in China (2012)Understanding the rise of cardiometabolic diseases in low- and middle-income countries (2019)Statistical Methods for Meta-Analysis (1988)Introduction to Meta‐Analysis (2009)Role of Built Environments in Physical Activity, Obesity, and Cardiovascular Disease (2012)City planning and population health: a global challenge (2016)Introducing the “15-Minute City”: Sustainability, Resilience and Place Identity in Future Post-Pandemic Cities (2021)Introduction to Meta‐Analysis (2021)Measuring Pro-Poor Growth (2001)Capitalism with Chinese Characteristics (2008)An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data (2020)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 1988China statistical yearbook12,378 cited
  • 2010Travel and the Built Environment5,396 cited
  • 2001Activity-based disaggregate travel demand model system with activity schedules763 cited
  • 2006Open space, residential property values, and spatial context494 cited
  • 2001The influence of land use on travel behavior: specification and estimation strategies466 cited
  • 2007Urban form, travel time, and cost relationships with tour complexity and mode choice456 cited
  • 2002Urban Form and Travel Behaviour: Micro-level Household Attributes and Residential Context454 cited
  • 1988An evaluation of activity-based travel analysis431 cited
  • 2009Sustainable urban expansion and transportation in a growing megacity: Consequences of urban sprawl for mobility on the urban fringe of Beijing413 cited
  • 2007Urban Transport Trends and Policies in China and India: Impacts of Rapid Economic Growth377 cited
  • 1998China Statistical Yearbook 1998352 cited
  • 2007Role of the built environment on mode choice decisions: additional evidence on the impact of density345 cited
  • 2008The jobs–housing relationship and commuting in Beijing, China: the legacy of Danwei317 cited
  • 2006An exploration of the relationship between mode choice and complexity of trip chaining patterns273 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 1999Examining Trip-Chaining Behavior: Comparison of Travel by Men and Women269 cited
  • 2000Trip chaining as a barrier to the propensity to use public transport258 cited
  • Cited by

    • 2018Travel mode choices in small cities of China: A case study of Changting77 cited
    • 2017Do built environment effects on travel behavior differ between household members? A case study of Nanjing, China67 cited
    • 2021Literature review on urban transport equity in transitional China: From empirical studies to universal knowledge57 cited
    • 2015Holiday travel behavior analysis and empirical study under integrated multimodal travel information service50 cited
    • 2021Identifying and understanding road-constrained areas of interest (AOIs) through spatiotemporal taxi GPS data: A case study in New York City49 cited
    • 2016An exploration of the relationships between socioeconomics, land use and daily trip chain pattern among low-income residents39 cited
    • 2022Telecommuting and trip chaining: Pre-pandemic patterns and implications for the post-pandemic world37 cited
    • 2019What did urban studies do for women? A systematic review of 40 years of research35 cited
    • 2022A comprehensive review of trip generation models based on land use characteristics35 cited
    • 2018The built environment and trip chaining behaviour revisited: The joint effects of the modifiable areal unit problem and tour purpose34 cited
    • 2016Analysis of travel time and mode choice shift for non-work stops in commuting: case study of Beijing, China30 cited
    • 2018Are relocatees different from others? Relocatee’s travel mode choice and travel equity analysis in large-scale residential areas on the periphery of megacity Shanghai, China28 cited
    • 2024How to incorporate machine learning and microsimulation tools in travel demand forecasting in multi-modal networks26 cited
    • 2018Role of the built environment on trip-chaining behavior: an investigation of workers and non-workers in Halifax, Nova Scotia23 cited
    • 2020Gender and income based variability in travel choices in Vishakhapatnam, India23 cited
    • 2024How do built environment characteristics influence bus use patterns across neighbourhood types in Beijing? A machine-learning analysis22 cited