Long commutes and transport inequity in China’s growing megacity: New evidence from Beijing using mobile phone data

Travel Behaviour and Society - Tập 20 - Trang 248-263 - 2020
Pengjun Zhao1, Di Liu1, Zhao Yu1, Haoyu Hu1
1College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China

Tài liệu tham khảo

Alexander, 2015, Origin-destination trips by purpose and time of day inferred from mobile phone data, Transp. Res. C, 58, 240, 10.1016/j.trc.2015.02.018 Alonso, 1964 Anas, 1998, Urban spatial structure, J. Econ. Liter., 36, 1426 Andersson, 2018, Promoting sustainable travel behaviour through the use of smartphone applications: a review and development of a conceptual model, Travel Behav. Soc., 11, 52, 10.1016/j.tbs.2017.12.008 Asakura, 2014, Behavioural data collection using mobile phones, 17 Axisa, 2012, Factors influencing commute distance: a case study of Toronto's commuter shed, J. Transp. Geogr., 24, 123, 10.1016/j.jtrangeo.2011.10.005 Bagley, 2002, The impact of residential neighborhood type on travel behavior: a structural equations modeling approach, Ann. Regional Sci., 36, 279, 10.1007/s001680200083 Besser, 2008, Commute time and social capital in the US, Am. J. Prev. Med., 34, 207, 10.1016/j.amepre.2007.12.004 Boussauw, 2009, Introducing a commute-energy performance index for Flanders, Transp. Res. A, 43, 580 Brown, 2015, The Migration-commuting nexus in rural England. A longitudinal analysis, J. Rural Stud., 41, 118, 10.1016/j.jrurstud.2015.06.005 Bucci, G., Morton, T., 2014. Cell phone data and travel behavior research: symposium summary report (No. FHWA-HRT-14-060). In F. H. A. U. States (Ed.). Washington D.C.: Federal Highway Administration United States. Cao, 2007, Cross-sectional and quasi-panel explorations of the connection between the built environment and auto ownership, Environ. Plann. A, 39, 830, 10.1068/a37437 Cassel, 2013, Willingness to commute long distance among job seekers in Dalarna, Sweden, J. Transp. Geogr., 28, 49, 10.1016/j.jtrangeo.2012.10.011 Champion, 2009, Migration and longer-distance commuting in rural England, Regional Stud., 43, 1245, 10.1080/00343400802070902 Chen, 2014, From traces to trajectories: How well can we guess activity locations from mobile phone traces?, Transp. Res. C, 46, 326, 10.1016/j.trc.2014.07.001 Chen, 2016, The promises of big data and small data for travel behavior (aka human mobility) analysis, Transp. Res. C, 68, 285, 10.1016/j.trc.2016.04.005 Crane, 1998, Does neighborhood design influence travel?: A behavioral analysis of travel diary and GIS data1, Transp. Res. D, 3, 225, 10.1016/S1361-9209(98)00001-7 Cui, 2018, Social media and mobility landscape: uncovering spatial patterns of urban human mobility with multi source data, Front. Environ. Sci. Eng., 12, 1 Currie, 2009, Australian urban transport and social disadvantage, Aust. Econ. Rev., 42, 201, 10.1111/j.1467-8462.2009.00549.x Downs, 1992 Ewing, 2003, Measuring sprawl and its transportation impacts, Transp. Res. Record, 1831, 175, 10.3141/1831-20 Fischer, 2001, Settled people don't move: On life course and (im-) mobility in Sweden, Int. J. Popul. Geogr., 7, 357, 10.1002/ijpg.230 Friman, 2017, How does travel affect emotional well-being and life satisfaction?, Transp. Res. A, 106, 170 Furht, 2016 Geurs, 2015, Automatic trip and mode detection with move smarter: first results from the dutch mobile mobility panel, Transp. Res. Proc., 11, 247, 10.1016/j.trpro.2015.12.022 Gonzalez, 2008, Understanding individual human mobility patterns, Nature, 453, 779, 10.1038/nature06958 Gordon, 1989, The influence of metropolitan spatial structure on commuting time, J. Urban Econ., 26, 138, 10.1016/0094-1190(89)90013-2 Green, 1997, A question of compromise? Case study evidence on the location and mobility strategies of dual career households, Regional Stud., 31, 641, 10.1080/00343409750130731 Green, 1999 Green, 1999, Longer distance commuting as a substitute for migration in Britain: a review of trends, issues and implications, Int. J. Popul. Geogr., 5, 49, 10.1002/(SICI)1099-1220(199901/02)5:1<49::AID-IJPG124>3.0.CO;2-O Handy, 1996 Hanson, 1995 He, 2017, Determinants of long-duration commuting and long-duration commuters' perceptions and attitudes toward commuting time: evidence from Kunming, China, IATSS Res., 41, 22, 10.1016/j.iatssr.2016.08.001 He, M., Zhao, S., He, M., 2015. Determinants of Commute Time and Distance for Urban Residents: A Case Study in Kunming, China. Paper presented at the CICTP 2015, Beijing, China. Hjorthol, 2000, Same city-different options: an analysis of the work trips of married couples in the metropolitan area of Oslo, J. Transp. Geogr., 8, 213, 10.1016/S0966-6923(99)00040-X Iqbal, 2014, Development of origin-destination matrices using mobile phone call data, Transp. Res. C, 40, 63, 10.1016/j.trc.2014.01.002 Jiang, 2017, Activity-based human mobility patterns inferred from mobile phone data: a case study of Singapore, IEEE Trans. Big Data, 3, 208, 10.1109/TBDATA.2016.2631141 Jovaag, A., 2015. Commuting patterns and premature death in US counties, 2015 APHA Annual Meeting & Expo. Washington D.C., USA. Kung, 2014, Exploring universal patterns in human home-work commuting from mobile phone data, PloS One, 9, 10.1371/journal.pone.0096180 Leaf, 1995, Inner city redevelopment in China: implications for the city of Beijing, Cities, 12, 149, 10.1016/0264-2751(94)00015-Z Levinson, 1994, The rational locator: Why travel times have remained stable, J. Am. Plann. Assoc., 60, 319, 10.1080/01944369408975590 Li, 2018, Future energy use and CO2 emissions of urban passenger transport in China: a travel behavior and urban form based approach, Appl. Energy, 211, 820, 10.1016/j.apenergy.2017.11.022 Li, 2004, Life course and residential mobility in Beijing, China, Environ. Plann. A, 36, 27, 10.1068/a35243 Li, 2010, Evolving residential and employment locations and patterns of commuting under hyper growth: the case of Guangzhou, China, Urban Stud., 47, 1643, 10.1177/0042098009356118 Lillydahl, 1987, The effects of growth management on the housing market: a review of the theoretical and empirical evidence, J. Urban Affairs, 9, 63, 10.1111/j.1467-9906.1987.tb00464.x Limtanakool, 2006, The influence of socioeconomic characteristics, land use and travel time considerations on mode choice for medium-and longer-distance trips, J. Transp. Geogr., 14, 327, 10.1016/j.jtrangeo.2005.06.004 Litman, 2002, Evaluating transportation equity, World Transp. Policy Pract., 8, 50 Long, 2015, Combining smart card data and household travel survey to analyze jobs-housing relationships in Beijing, Comput. Environ. Urban Syst., 53, 19, 10.1016/j.compenvurbsys.2015.02.005 Lorenz, 2018, Does commuting matter to subjective well-being?, J. Transp. Geogr., 66, 180, 10.1016/j.jtrangeo.2017.11.019 Lucas, 2012, Transport and social exclusion: Where are we now?, Transp. Policy, 20, 105, 10.1016/j.tranpol.2012.01.013 Lyons, 2008, A human perspective on the daily commute: costs, benefits and trade-offs, Transp. Rev., 28, 181, 10.1080/01441640701559484 Ma, 2005 Manaugh, 2010, The effect of neighbourhood characteristics, accessibility, home-work location, and demographics on commuting distances, Transportation, 37, 627, 10.1007/s11116-010-9275-z Maoh, 2007, Geographic clustering of firms and urban form: a multivariate analysis, J. Geogr. Syst., 9, 29, 10.1007/s10109-006-0029-6 Maoh, 2012, Determinants of normal and extreme commute distance in a sprawled midsize Canadian city: evidence from Windsor, Canada, J. Transp. Geogr., 25, 50, 10.1016/j.jtrangeo.2012.07.003 Marion, 2007, Comparison of socioeconomic and demographic profiles of extreme commuters in several US metropolitan statistical areas, Transp. Res. Record, 2013, 38, 10.3141/2013-06 Mavoa, 2011, Linking GPS and travel diary data using sequence alignment in a study of children's independent mobility, Int. J. Health Geograph., 10, 64, 10.1186/1476-072X-10-64 Mercado, 2009, Determinants of distance traveled with a focus on the elderly: a multilevel analysis in the Hamilton CMA, Canada, J. Transp. Geogr., 17, 65, 10.1016/j.jtrangeo.2008.04.012 Morency, 2011, Distance traveled in three Canadian cities: spatial analysis from the perspective of vulnerable population segments, J. Transp. Geogr., 19, 39, 10.1016/j.jtrangeo.2009.09.013 Muth, 1969 Nitsche, 2014, Supporting large-scale travel surveys with smartphones-a practical approach, Transp. Res. C, 43, 212, 10.1016/j.trc.2013.11.005 Nour, 2016, Classification of automobile and transit trips from Smartphone data: enhancing accuracy using spatial statistics and GIS, J. Transp. Geogr., 51, 36, 10.1016/j.jtrangeo.2015.11.005 Oliver, 2010, Hybrid car purchase intentions: a cross-cultural analysis, J. Consumer Market., 27, 96, 10.1108/07363761011027204 Olsson, 2013, Happiness and satisfaction with work commute, Social Indic. Res., 111, 255, 10.1007/s11205-012-0003-2 Pelletier, 2011, Smart card data use in public transit: a literature review, Transp. Res. C, 19, 557, 10.1016/j.trc.2010.12.003 Plaut, 2006, The intra-household choices regarding commuting and housing, Transp. Res. A, 40, 561 Prashker, 2008, Residential choice location, gender and the commute trip to work in Tel Aviv, J. Transp. Geogr., 16, 332, 10.1016/j.jtrangeo.2008.02.001 Preston, 1993, The impact of family status on black, white, and Hispanic women's commuting, Urban Geogr., 14, 228, 10.2747/0272-3638.14.3.228 Rawls, 1972 Renkow, 2000, Commuting, migration, and rural-urban population dynamics, J. Regional Sci., 40, 261, 10.1111/0022-4146.00174 Rouvendahl, 2004, Search theory and commuting behaviour, Growth Change, 35, 391, 10.1111/j.1468-2257.2004.00254.x Sandow, 2008, Commuting behaviour in sparsely populated areas: evidence from northern Sweden, J. Transp. Geogr., 16, 14, 10.1016/j.jtrangeo.2007.04.004 Sandow, 2014, Til work do us part: the social fallacy of long-distance commuting, Urban Stud., 51, 526, 10.1177/0042098013498280 Sandow, 2014, Is your commute killing you? On the mortality risks of long-distance commuting, Environ. Plann. A, 46, 1496, 10.1068/a46267 Sandow, 2010, People's preferences for commuting in sparsely populated areas, J. Transp. Land Use, 2, 87 Sandow, 2010, The persevering commuter–duration of long-distance commuting, Transp. Res. A, 44, 433 Sermons, 2001, Representing the differences between female and male commute behavior in residential location choice models, J. Transp. Geogr., 9, 101, 10.1016/S0966-6923(00)00047-8 Shen, 2014, Review of GPS travel survey and GPS data-processing methods, Transp. Rev., 34, 316, 10.1080/01441647.2014.903530 So, 2001, The effects of housing prices, wages, and commuting time on joint residential and job location choices, Am. J. Agric. Econ., 83, 1036, 10.1111/0002-9092.00228 Steenbruggen, 2013, Mobile phone data from GSM networks for traffic parameter and urban spatial pattern assessment: a review of applications and opportunities, GeoJournal, 78, 223, 10.1007/s10708-011-9413-y Stopher, 2007, Assessing the accuracy of the Sydney Household Travel Survey with GPS, Transportation, 34, 723, 10.1007/s11116-007-9126-8 Sultana, 2007, Journey-to-work patterns in the age of sprawl: evidence from two midsize southern metropolitan areas, Prof. Geogr., 59, 193, 10.1111/j.1467-9272.2007.00607.x Taylor, 2016, No place to hide? The ethics and analytics of tracking mobility using mobile phone data, Environ. Plann. D, 34, 319, 10.1177/0263775815608851 Taylor, 2015 Travisi, 2010, Impacts of urban sprawl and commuting: a modelling study for Italy, J. Transp. Geogr., 18, 382, 10.1016/j.jtrangeo.2009.08.008 Turner, 1997, Travel to work and household responsibility: new evidence, Transportation, 24, 397, 10.1023/A:1004945903696 Van Ham, 2001, Workplace mobility and occupational achievement, Int. J. Popul. Geogr., 7, 295, 10.1002/ijpg.225 Van Ham, 2009, Regional differences in spatial flexibility: long commutes and job related migration intentions in the Netherlands, Appl. Spatial Anal. Policy, 2, 129, 10.1007/s12061-008-9016-2 Van Ommeren, 2007, Compensation for commuting in imperfect urban markets, Papers Regional Sci., 86, 241, 10.1111/j.1435-5957.2007.00121.x van Ommeren, 1999, Job moving, residential moving, and commuting: a search perspective, J. Urban Econ., 46, 230, 10.1006/juec.1998.2120 Van Ommeren, 2011, Are workers with a long commute less productive? An empirical analysis of absenteeism, Regional Sci. Urban Econ., 41, 1, 10.1016/j.regsciurbeco.2010.07.005 Vincent-Geslin, 2016, Determinants of extreme commuting. Evidence from Brussels, Geneva and Lyon, J. Transp. Geogr., 54, 240, 10.1016/j.jtrangeo.2016.06.013 Wachs, 1993, The changing commute: a case-study of the jobs-housing relationship over time, Urban Stud., 30, 1711, 10.1080/00420989320081681 Wang, 2010, A study on the commuting problems in Beijing-based on the investigation to the citizens of Beijing, Urban Stud. (Chinese), 12, 1 Wang, 2001, Explaining intraurban variations of commuting by job proximity and workers' characteristics, Environ. Plann. B, 28, 169, 10.1068/b2710 Wang, 2018, Applying mobile phone data to travel behaviour research: a literature review, Travel Behav. Soc., 11, 141, 10.1016/j.tbs.2017.02.005 Watts, 2009, The impact of spatial imbalance and socioeconomic characteristics on average distance commuted in the Sydney metropolitan area, Urban Stud., 46, 317, 10.1177/0042098008099357 Wu, 2004, Residential relocation under market-oriented redevelopment: the process and outcomes in urban China, Geoforum, 35, 453, 10.1016/j.geoforum.2003.10.001 Xianyu, 2017, Analysis of variability in multi-day GPS imputed activity-travel diaries using multi-dimensional sequence alignment and panel effects regression models, Transportation, 44, 533, 10.1007/s11116-015-9666-2 Yang, 2017, Scalable space-time trajectory cube for path-finding: a study using big taxi trajectory data, Transp. Res. B, 101, 1, 10.1016/j.trb.2017.03.010 Yaqoob, 2016, Big data: from beginning to future, Int. J. Inf. Manage., 36, 1231, 10.1016/j.ijinfomgt.2016.07.009 Zhang, Z., He, Q., Zhu, S., 2017. Exploring Travel Behavior with Social Media: An Empirical Study of Abnormal Movements Using High-Resolution Tweet Trajectory Data, Transportation Research Board 96th Annual Meeting. Washington DC, United States: Transportation Research Board. Zhao, 2010, Sustainable urban expansion and transportation in a growing megacity: consequences of urban sprawl for mobility on the urban fringe of Beijing, Hab. Int., 34, 236, 10.1016/j.habitatint.2009.09.008 Zhao, 2011, The impact of urban growth on commuting patterns in a restructuring city: evidence from Beijing, Papers Regional Sci., 90, 735, 10.1111/j.1435-5957.2010.00343.x Zheng, 2018, Spatial-temporal travel pattern mining using massive taxi trajectory data, Phys. A Stat. Mech. Appl., 501, 24, 10.1016/j.physa.2018.02.064 Zhong, 2018, Characteristics analysis for travel behavior of transportation hub passengers using mobile phone data, Transportation, 4, 1 Ahmad, 2016, Determinants of urban mobility in India: Lessons for promoting sustainable and inclusive urban transportation in developing countries, Transp. Policy, 50, 106, 10.1016/j.tranpol.2016.04.014 Zhao, 2014, Private motorised urban mobility in China’s large cities: the social causes of change and an agenda for future research, J. Transp. Geogr., 40, 53, 10.1016/j.jtrangeo.2014.07.011 Zhao, 2010, Implementation of the metropolitan growth management in the transition era: evidence from Beijing, Plann. Pract. Res., 25, 77, 10.1080/02697451003625406 Leung, 2003, Feminism in transition: Chinese culture, ideology and the development of the women's movement in China, Asia Pac. J. Manage., 20, 359, 10.1023/A:1024049516797