| [1] |
Chen CL, Pan H, Shen Q, Wang J. (Eds.) 2020. Handbook on Transport and Urban Transformation in China. London: Edward Elgar. doi: 10.4337/9781786439246.00006 |
| [2] |
The Rising Lab. 2020. Ranking of Cities' Business Attractiveness 2020. (Chinese version) |
| [3] |
The Rising Lab. 2021. Ranking of Cities' Business Attractiveness 2021. (Chinese version) |
| [4] |
The Rising Lab. 2022. Ranking of Cities' Business Attractiveness 2022. (Chinese version) |
| [5] |
The Rising Lab. 2023. Ranking of Chinese Cities' Business Attractiveness 2023. (Chinese version) |
| [6] |
The Rising Lab. 2024. Ranking of Cities' Business Attractiveness in China 2024. (Chinese version) |
| [7] |
The State Council of the People's Republic of China. 2022. Tabulation on 2020 China Population Census by County (Chinese version). www.stats.gov.cn/zs/tjwh/tjkw/tjzl/202302/t20230220_1913738.html (Accessed: 10 June 2024) |
| [8] |
Yao D, Xu L, Zhang C, Li J. 2021. Revisiting the interactions between bus service quality, car ownership and mode use: a case study in Changzhou, China. |
| [9] |
Liu Q, Liu Y, Chen CL, Papa E, Ling Y, et al. 2023. Is it possible to compete with car use? How buses can facilitate sustainable transport. |
| [10] |
Li J, Xu L, Tang F, Yao D, Zhang C. 2024. The impact of public transport priority policy on private car own and use: a study on the moderating effects of bus satisfaction. |
| [11] |
Li J, Tang F, Zhang S, Zhang C. 2023. The effects of low-carbon city construction on bus trips. |
| [12] |
Rasca S, Saeed N. 2022. Exploring the factors influencing the use of public transport by commuters living in networks of small cities and towns. |
| [13] |
Yao D, Xu L, Li J. 2020. Does technical efficiency play a mediating role between bus facility scale and ridership attraction? Evidence from bus practices in China. |
| [14] |
The Ministry of Public Security of the People's Republic of China. 2013. Private Cars in China Have Increased 13 Times in the Past 10 Years (Chinese version). www.gov.cn/jrzg/2013-12/01/content_2539481.htm (Accessed: 2 December 2024) |
| [15] |
The Ministry of Public Security of the People's Republic of China. 2019. In 2018, Chinese Car Ownership Exceeded 200 Million for the First Time (Chinese version). www.gov.cn/xinwen/2019-01/13/content_5357441.htm (Accessed: 2 December 2024) |
| [16] |
Wang G. 2014. Research on traffic problems in second and third-tier cities. Management & Technology of SME 4. (Chinese version) |
| [17] |
Baidu Maps. 2022. 2021 China Urban Transportation Report (Chinese version). https://jiaotong.baidu.com/cms/reports/traffic/2021/index.html (Accessed: 1 June 2024) |
| [18] |
Brechan I. 2017. Effect of price reduction and increased service frequency on public transport travel. |
| [19] |
Buehler R. 2011. Determinants of transport mode choice: a comparison of Germany and the USA. |
| [20] |
Chakrabarti S, Joh K. 2019. The effect of parenthood on travel behavior: Evidence from the California household travel survey. |
| [21] |
Chng S, White M, Abraham C, Skippon S. 2016. Commuting and wellbeing in London: The roles of commute mode and local public transport connectivity. |
| [22] |
Ding C, Wang D, Liu C, Zhang Y, Yang J. 2017. Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance. |
| [23] |
Ha J, Lee S, Ko J. 2020. Unraveling the impact of travel time, cost, and transit burdens on commute mode choice for different income and age groups. |
| [24] |
Ng WS, Acker A. 2018. Understanding urban travel behaviour by gender for efficient and equitable transport policies. International Transport Forum Discussion Papers (No. 2018/01). Paris: OECD. www.oecd.org/en/publications/understanding-urban-travel-behaviour-by-gender-for-efficient-and-equitable-transport-policies_eaf64f94-en.html |
| [25] |
O'Fallon C, Sullivan C, Hensher DA. 2004. Constraints affecting mode choices by morning car commuters. |
| [26] |
Paulley N, Balcombe R, Mackett R, Titheridge H, Preston J, et al. 2006. The demand for public transport: the effects of fares, quality of service, income and car ownership. |
| [27] |
Rachele JN, Kavanagh AM, Badland H, Giles-Corti B, Washington S, et al. 2015. Associations between individual socioeconomic position, neighbourhood disadvantage and transport mode: Baseline results from the HABITAT multilevel study. |
| [28] |
Balcombe R, Mackett R, Paulley N, Preston J, Shires J, et al. 2004. The demand for public transport: a practical guide. TRL Report No. 593. Transport Research Laboratory. www.trl.co.uk/uploads/trl/documents/TRL593%20-%20The%20Demand%20for%20Public%20Transport.pdf |
| [29] |
Chakrabarti S. 2017. How can public transit get people out of their cars? An analysis of transit mode choice for commute trips in Los Angeles. |
| [30] |
Eriksson L, Friman M, Gärling T. 2008. Stated reasons for reducing work-commute by car. |
| [31] |
Lee S, Lee YH, Park JH. 2003. Estimating price and service elasticity of urban transportation demand with stated preference technique: case in Korea. |
| [32] |
Liu Y, Cirillo C. 2015. Measuring transit service impacts on vehicle ownership and use. |
| [33] |
The State Council of the People's Republic of China. 2014. Notice of the State Council on Adjusting the Standards for City Classifction (Chinese version). www.gov.cn/zhengce/content/2014-11/20/content_9225.htm (Accessed: 04 June 2021) |
| [34] |
Globalization & World Cities (GaWC). 2024. The World According to GaWC 2024. https://gawc.lboro.ac.uk/gawc-worlds/the-world-according-to-gawc (Accessed: 15 March 2025) |
| [35] |
China Central Television (CCTV). 2023. Ranking of Chinese New First-tier Cities in 2023 has been Established (Chinese version). https://news.cctv.com/2023/05/30/ARTI5kyAHUzgByGH08lUpEQ4230530.shtml (Accessed: 20 March 2025) |
| [36] |
China Daily. 2017. Ranking of China Cities' Business Attractiveness 2017: Chengdu Ranks First among the New First-tier Chinese Cities (Chinese version). https://sc.chinadaily.com.cn/2017-05/26/content_29507094.htm (Accessed: 20 March 2025) |
| [37] |
Urban Planning Society of China. 2017. Ranking of Chinese New First-tier Cities has been Established (Chinese version). www.planning.org.cn/law/news_view?id=6784 (Accessed: 20 March 2025) |
| [38] |
The Ministry of Transport of the People's Republic of China. 2024. 2023 Urban Rail Transit Operation Data Quick Report (Chinese version). https://mp.weixin.qq.com/s?__biz=MzI3MDQwMDQ5NQ==&mid=2247593667&idx=1&sn=5a5fd0f406b50ad9307620d7e3964d35&scene=0 (Accessed: 04 June 2024) |
| [39] |
The State Council of the People's Republic of China. 2018. Opinions on Further Strengthening the Planning, Construction and Management of Urban Rail Transit (Chinese version). www.gov.cn/zhengce/content/2018-07/13/content_5306202.htm (Accessed: 02 June 2024) |
| [40] |
Lin X, Chen Y. 2022. The National Development and Reform Commission still does not accept the first round of rail transit construction plans for general prefecture-level cities. Why has the subway dream of Chinese third-tier cities been shelved? (Chinese version). https://m.yicai.com/news/101517821.html (Accessed: 02 June 2024) |
| [41] |
Reeder LG. 1956. Social differentials in mode of travel, time and cost in the journey to work. |
| [42] |
Coogan M, Spitz G, Adler T, McGuckin N, Kuzmyak, R, et al. 2018. Understanding changes in demographics, preferences, and markets for public transportation. TCRP, Research Report 201. Washington, DC: The National Academies Press. doi: 10.17226/25160 |
| [43] |
Litman T. 2004. Transit price elasticities and cross-elasticities. |
| [44] |
Litman T. 2008. Evaluating accessibility for transport planning. Transportation Research Board 87th Annual Meeting. Washington, DC. https://trid.trb.org/view.aspx?id=859513 |
| [45] |
Kawabata M. 2009. Spatiotemporal dimensions of modal accessibility disparity in Boston and San Francisco. |
| [46] |
Sun L, Tang C, Yang L. 2014. Research on traffic improvement strategies for second and third-tier cities in the development process: take Qujing as an example. New urbanization and traffic development - Proceedings of the 2013 China Urban Traffic Planning Annual Conference and the 27th Academic Seminar (Chinese version). www.chinautc.com/templates/H_dongtai/article.aspx?nodeid=4117&page=ContentPage&contentid=80968 |
| [47] |
Ding C, Wang Y, Tang T, Mishra S, Liu C. 2018. Joint analysis of the spatial impacts of built environment on car ownership and travel mode choice. |
| [48] |
Fairhurst MH. 1975. The influence of public transport on car ownership in London. Journal of Transport Economics and Policy 9(3):193−208 |
| [49] |
Goodwin PB. 1993. Car ownership and public transport use: Revisiting the interaction. |
| [50] |
Wang L, Li L, Wu B, Bai Y. 2013. Private car switched to public transit by commuters in Shanghai, China. |
| [51] |
Cullinane S. 2002. The relationship between car ownership and public transport provision: a case study of Hong Kong. |
| [52] |
Eriksson L, Nordlund AM, Garvill J. 2010. Expected car use reduction in response to structural travel demand management measures. |
| [53] |
Kingham S, Dickinson J, Copsey S. 2001. Travelling to work: will people move out of their cars. |
| [54] |
Mackett RL. 2001. Policies to attract drivers out of their cars for short trips. |
| [55] |
Fiorio CV, Percoco M. 2007. Would you stick to using your car even if charged? Evidence from Trento, Italy. |
| [56] |
Kim HS, Kim E. 2004. Effects of public transit on automobile ownership and use in households of the USA. |
| [57] |
Li M, Lau D, Seah D. 2011. Car ownership and urban transport demand in Singapore. International Journal of Transport Economics 38:47−70 |
| [58] |
Guan J, Zhang K, Shen Q, He Y. 2020. Dynamic modal accessibility gap: measurement and application using travel routes data. |
| [59] |
Collins CM, Chambers SM. 2005. Psychological and situational influences on commuter-transport-mode choice. |
| [60] |
Yangzhou Natural Resources and Planning Bureau. 2020. 2020 Annual Report on Urban Transport Development in Yangzhou. (Chinese version). Report. Yangzhou Natural Resources and Planning Bureau, China. |
| [61] |
Zhao P, Yu Z. 2020. Investigating mobility in rural areas of China: features, equity, and factors. |
| [62] |
Galatoulas NF, Genikomsakis KN, Ioakimidis CS. 2020. Spatio-Temporal trends of e-bike sharing system deployment: a review in Europe, North America and Asia. |
| [63] |
Jiangsu Traffic Police. 2020. Rules for the safe riding of electric bicycles are established in Yangzhou. https://new.qq.com/rain/a/20200327A0UNSU00 (Accessed: 4 October 2023) |
| [64] |
Zhao X, Yan X, Yu A, Van Hentenryck P. 2020. Prediction and behavioral analysis of travel mode choice: a comparison of machine learning and logit models. |
| [65] |
Mahdi AJ, Esztergár-Kiss D. 2024. Understanding tourists' behavior toward transport mode choice by using machine learning methods. |
| [66] |
Afghari AP, Haque MM, Washington S, Smyth T. 2019. Effects of globally obtained informative priors on Bayesian safety performance functions developed for Australian crash data. |
| [67] |
Guo Y, Li Z, Wu Y, Xu C. 2018. Exploring unobserved heterogeneity in bicyclists' red-light running behaviors at different crossing facilities. |
| [68] |
Li X, Wang Y, Wu Y, Chen J, Zhou J. 2021. Modeling intercity travel mode choice with data balance changes: a comparative analysis of Bayesian logit model and artificial neural networks. |
| [69] |
Zhang CX, Xu S, Zhang JS. 2019. A novel variational Bayesian method for variable selection in logistic regression models. |
| [70] |
Zhou X, Wang M, Li D. 2019. Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning. |
| [71] |
Li X, Ma R, Guo Y, Wang W, Yan B, et al. 2021. Investigation of factors and their dynamic effects on intercity travel modes competition. |
| [72] |
Xiao G, Juan Z, Zhang C. 2015. Travel mode detection based on GPS track data and Bayesian networks. |
| [73] |
Hagenauer J, Helbich M. 2017. A comparative study of machine learning classifiers for modeling travel mode choice. |
| [74] |
Saini D, Chand T, Chouhan DK, Prakash M. 2021. A comparative analysis of automatic classification and grading methods for knee osteoarthritis focussing on X-ray images. |
| [75] |
Shobha G, Rangaswamy S. 2018. Machine Learning. In Handbook of Statistics, eds. Gudivada VN, Rao CR. vol. 38. Amsterdam, Netherlands: Elsevier. pp. 197−228 doi: 10.1016/bs.host.2018.07.004 |
| [76] |
Huang J, Ling CX. 2005. Using AUC and accuracy in evaluating learning algorithms. |
| [77] |
Xiao D, Xu X, Ma C, Lyu N. 2021. Addressing driving actions of at-fault older drivers: Bayesian bivariate ordered probit analysis. |
| [78] |
Yuan Q, Xu X, Xu M, Zhao J, Li Y. 2020. The role of striking and struck vehicles in side crashes between vehicles: Bayesian bivariate probit analysis in China. |
| [79] |
Xu X, Xie S, Wong SC, Xu P, Huang H, et al. 2016. Severity of pedestrian injuries due to traffic crashes at signalized intersections in Hong Kong: a Bayesian spatial logit model. |
| [80] |
Zeng Q, Gu W, Zhang X, Wen H, Lee J, et al. 2019. Analyzing freeway crash severity using a Bayesian spatial generalized ordered logit model with conditional autoregressive priors. |
| [81] |
Zeng Q, Wen H, Huang H, Abdel-Aty M. 2017. A Bayesian spatial random parameters Tobit model for analyzing crash rates on roadway segments. |
| [82] |
Cheng L, De Vos J, Zhao P, Yang M, Witlox F. 2020. Examining non-linear built environment effects on elderly's walking: A random forest approach. |
| [83] |
Nielsen G, Lange T. 2007. Network design for public transport success – theory and examples. International Conference on Competition and Ownership in Land Passenger Transport, 10th. Hamilton Island, Queensland, Australia. https://thredbo-conference-series.org/downloads/thredbo10_papers/thredbo10-themeE-Nielsen-Lange.pdf |
| [84] |
Wang F, Ross CL. 2018. Machine learning travel mode choices: Comparing the performance of an extreme gradient boosting model with a multinomial logit model. |
| [85] |
Bigazzi A, Wong K. 2020. Electric bicycle mode substitution for driving, public transit, conventional cycling, and walking. |
| [86] |
Bourne JE, Cooper AR, Kelly P, Kinnear FJ, England C, et al. 2020. The impact of e-cycling on travel behaviour: a scoping review. |
| [87] |
Cherry CR, Yang H, Jones LR, He M. 2016. Dynamics of electric bike ownership and use in Kunming, China. |
| [88] |
Fishman E, Cherry C. 2016. E-bikes in the mainstream: reviewing a decade of research. |
| [89] |
Johnson M, Rose G. 2013. Electric bikes - cycling in the New World City: An investigation of Australian electric bicycle owners and the decision making process for purchase. Australasian Transport Research Forum 2013 Proceedings, Brisbane, Australia, 2−4 October 2013. https://australasiantransportresearchforum.org.au/wp-content/uploads/2022/03/2013_johnson_rose.pdf (Accessed: 14 September 2023) |
| [90] |
MacArthur J, Dill J, Person M. 2014. Electric Bikes in North America: Results from an online survey. |
| [91] |
Shao Q, Zhang W, Cao X, Yang J. 2022. Nonlinear and interaction effects of land use and motorcycles/e-bikes on car ownership. |
| [92] |
Redman L, Friman M, Gärling T, Hartig T. 2013. Quality attributes of public transport that attract car users: a research review. |