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Evaluating the multi-scale patterns of jobs-residence balance and commuting time–cost using cellular signaling data: a case study in Shanghai
16 references·16 citing·32 second hopsampled
Evaluating the multi-scale patterns of jobs-residence balance and commuting time–cost using cellular signaling data: a case study in Shanghai (2018)Evaluating the multi-scale patterns of jo…Understanding congested travel in urban areas (2016)Understanding congested trave…Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Activity-Based Human Mobility…The path most traveled: Travel demand estimation using big data resources (2015)The path most traveled: Trave…Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Origin–destination trips by p…Development of origin–destination matrices using mobile phone call data (2014)Development of origin–destina…Unravelling daily human mobility motifs (2013)Unravelling daily human mobil…Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Understanding individual mobi…Understanding individual human mobility patterns (2008)Understanding individual huma…The jobs–housing relationship and commuting in Beijing, China: the legacy of Danwei (2008)The jobs–housing relationship…'Which Reduces Vehicle Travel More: Jobs-Housing Balance or Retail-Housing Mixing? (2006)'Which Reduces Vehicle Travel…Built environments and mode choice: toward a normative framework (2002)Built environments and mode c…Rethinking Accessibility and Jobs-Housing Balance (1998)Rethinking Accessibility and …The Jobs-Housing Balance and Urban Commuting (1997)The Jobs-Housing Balance and …Is the Journey to Work Explained by Urban Structure? (1993)Is the Journey to Work Explai…Jobs-Housing Balancing and Regional Mobility (1989)Jobs-Housing Balancing and Re…Physical accessibility as a social indicator (1973)Physical accessibility as a s…Visualization of commuting areas and examination of jobs-housing balance with the adoption of excess commuting (2024)Visualization of commuting ar…Should transit-oriented development consider station age effects? (2024)Should transit-oriented devel…Application of the local colocation quotient method in jobs-housing balance measurement based on mobile phone data: A case study of Nanjing City (2024)Application of the local colo…A new model for residential location choice using residential trajectory data (2024)A new model for residential l…Discovering the long-term effects of COVID-19 on jobs–housing relocation (2023)Discovering the long-term eff…Modeling activity spaces using big geo‐data: Progress and challenges (2022)Modeling activity spaces usin…Community-detection-based spatial range identification for assessing bilateral jobs-housing balance: The case of Beijing (2022)Community-detection-based spa…Associations of land use around rail transit stations with jobs–housing distribution of rail commuters from smart-card data (2022)Associations of land use arou…Analyzing the multiscale patterns of jobs-housing balance and employment self-containment by different income groups using LEHD data: A case study in Cincinnati metropolitan area (2022)Analyzing the multiscale patt…A Travel Mode Identification Framework Based on Cellular Signaling Data (2022)A Travel Mode Identification …Understanding the spatiotemporal patterns of nighttime urban vibrancy in central Shanghai inferred from mobile phone data (2021)Understanding the spatiotempo…Detecting Home and Work Locations from Mobile Phone Cellular Signaling Data (2021)Detecting Home and Work Locat…Delineation of the Shanghai Megacity Region of China from a Commuting Perspective: Study Based on Cell Phone Network Data in the Yangtze River Delta (2021)Delineation of the Shanghai M…Tourism Geography through the Lens of Time Use: A Computational Framework Using Fine-Grained Mobile Phone Data (2020)Tourism Geography through the…Research on the coupling degree of regional taxi demand and social development from the perspective of job–housing travels (2020)Research on the coupling degr…Effects of Data Preprocessing Methods on Addressing Location Uncertainty in Mobile Signaling Data (2020)Effects of Data Preprocessing…Reality mining: sensing complex social systems (2005)Limits of Predictability in Human Mobility (2010)Returners and explorers dichotomy in human mobility (2015)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)Friendship and mobility (2011)Nonresponse Rates and Nonresponse Bias in Household Surveys (2006)A universal model for mobility and migration patterns (2012)Modelling the scaling properties of human mobility (2010)Examining the impacts of residential self-selection on travel behavior: A focus on methodologies (2007)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)The universal visitation law of human mobility (2021)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Discrete choice analysis: Theory and application to travel demand (1988)Travel demand and the 3Ds: Density, diversity, and design (1997)AN ECOLOGICAL APPROACH TO CREATING ACTIVE LIVING COMMUNITIES (2005)Commuting by Bicycle: An Overview of the Literature (2009)Subcenters in the Los Angeles region (1991)Jobs-Housing Balance Revisited: Trends and Impacts in the San Francisco Bay Area (1996)Polycentrism, Commuting, and Residential Location in the San Francisco Bay Area (1997)Housing preferences and attribute importance among low-income consumers in Saudi Arabia (2009)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Travel and the Built Environment (2010)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)Human mobility and socioeconomic status: Analysis of Singapore and Boston (2018)Measuring inequality in community resilience to natural disasters using large-scale mobility data (2021)Can Land-use Policy Really Affect Travel Behaviour? A Study of the Link between Non-work Travel and Land-use Characteristics (1998)Characteristics, Causes, and Effects of Sprawl: A Literature Review (2008)Gender and Individual Access to Urban Opportunities: A Study Using Space–Time Measures (1999)The Influence of Urban Form on Travel: An Interpretive Review (2000)Distributive justice and equity in transportation (2016)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2002Built environments and mode choice: toward a normative framework862 cited
  • 1993Is the Journey to Work Explained by Urban Structure?647 cited
  • 2012Understanding individual mobility patterns from urban sensing data: A mobile phone trace example645 cited
  • 2015Origin–destination trips by purpose and time of day inferred from mobile phone data637 cited
  • 1973Physical accessibility as a social indicator595 cited
  • 2013Unravelling daily human mobility motifs584 cited
  • 1989Jobs-Housing Balancing and Regional Mobility583 cited
  • 2014Development of origin–destination matrices using mobile phone call data508 cited
  • 2016Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore472 cited
  • 2015The path most traveled: Travel demand estimation using big data resources418 cited
  • 2016Understanding congested travel in urban areas406 cited
  • 2006'Which Reduces Vehicle Travel More: Jobs-Housing Balance or Retail-Housing Mixing?361 cited
  • 1997The Jobs-Housing Balance and Urban Commuting326 cited
  • 2008The jobs–housing relationship and commuting in Beijing, China: the legacy of Danwei

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317 cited
  • 1998Rethinking Accessibility and Jobs-Housing Balance292 cited
  • Cited by

    • 2020Effects of Data Preprocessing Methods on Addressing Location Uncertainty in Mobile Signaling Data36 cited
    • 2020Tourism Geography through the Lens of Time Use: A Computational Framework Using Fine-Grained Mobile Phone Data36 cited
    • 2022Community-detection-based spatial range identification for assessing bilateral jobs-housing balance: The case of Beijing33 cited
    • 2023Discovering the long-term effects of COVID-19 on jobs–housing relocation24 cited
    • 2021Understanding the spatiotemporal patterns of nighttime urban vibrancy in central Shanghai inferred from mobile phone data21 cited
    • 2021Detecting Home and Work Locations from Mobile Phone Cellular Signaling Data19 cited
    • 2022Modeling activity spaces using big geo‐data: Progress and challenges19 cited
    • 2021Delineation of the Shanghai Megacity Region of China from a Commuting Perspective: Study Based on Cell Phone Network Data in the Yangtze River Delta17 cited
    • 2024Application of the local colocation quotient method in jobs-housing balance measurement based on mobile phone data: A case study of Nanjing City17 cited
    • 2024A new model for residential location choice using residential trajectory data16 cited
    • 2024Should transit-oriented development consider station age effects?15 cited
    • 2022A Travel Mode Identification Framework Based on Cellular Signaling Data14 cited
    • 2024Visualization of commuting areas and examination of jobs-housing balance with the adoption of excess commuting13 cited
    • 2020Research on the coupling degree of regional taxi demand and social development from the perspective of job–housing travels13 cited
    • 2022Analyzing the multiscale patterns of jobs-housing balance and employment self-containment by different income groups using LEHD data: A case study in Cincinnati metropolitan area13 cited
    • 2022Associations of land use around rail transit stations with jobs–housing distribution of rail commuters from smart-card data11 cited