1. Characterizing mobility patterns of private electric vehicle users with trajectory data. (2022). Wang, Shiqi ; Sun, Mingdong ; Chiwing, Justin Hayse ; Shao, Chunfu ; Zhuge, Chengxiang ; Huang, Yuantan ; Yang, Xiong.
   In: Applied Energy.
   RePEc:eee:appene:v:321:y:2022:i:c:s0306261922007528.

   Full description at Econpapers || Download paper

2. A Method to Estimate URT Passenger Spatial-Temporal Trajectory with Smart Card Data and Train Schedules. (2020). Yao, Xiangming ; Yang, Taoyuan ; Zhao, Peng.
   In: Sustainability.
   RePEc:gam:jsusta:v:12:y:2020:i:6:p:2574-:d:336541.

   Full description at Econpapers || Download paper

1. Abdulhafedh A. How to Detect and Remove Temporal Autocorrelation in Vehicular Crash Data. J. Transp. Technol. 2017, 7, 133-147.
   Paper not yet in RePEc: Add citation now
   
2. Anastasopoulos P.C.; Bin Islam M.; Perperidou D.; Karlaftis M.G. Hazard-Based Analysis Travel Distance in Urban Environments: Longitudinal Data Approach. J. Urban Plan. Dev. 2012, 138, 53-61.
   Paper not yet in RePEc: Add citation now
   

3. Bao J.; Xu C.; Liu P.; Wang W. Exploring Bikesharing Travel Patterns and Trip Purposes Using Smart Card Data and Online Point of Interests. Netw. Spat. Econ. 2017, 17, 1231-1253.

4. Bekhor S.; Cohen Y.; Solomon C. Evaluating long-distance travel patterns in Israel by tracking cellular phone positions. J. Adv. Transp. 2013, 47, 435-446.
   Paper not yet in RePEc: Add citation now
   
5. Cao X. Examining the effect of the Hiawatha LRT on auto use in the Twin Cities. Transp. Policy 2018, 81, 284-292.
   Paper not yet in RePEc: Add citation now
   
6. Cervero R.; Murakami J. Effects of built environments on vehicle miles traveled: Evidence from 370 US urbanized areas. Environ. Plan. A 2010, 42, 400-418.
   Paper not yet in RePEc: Add citation now
   
7. Chen F.; Wu J.; Chen X.; Wang J. Vehicle kilometers traveled reduction impacts of transit-oriented development: Evidence from Shanghai city. Transp. Res. Part D Transp. Environ. 2017, 55, 227-245.
   Paper not yet in RePEc: Add citation now
   
8. Choi K. The influence of the built environment on household vehicle travel by the urban typology in Calgary, Canada. Cities 2018, 75, 101-110.
   Paper not yet in RePEc: Add citation now
   

9. Diao M.I.; Ferreira J. Vehicle miles traveled and the built environment: Evidence from vehicle safety inspection data. Environ. Plan. A 2014, 46, 2991-3009.

10. Ding C.; Liu C.; Zhang Y.; Yang J.; Wang Y. Investigating the impacts of built environment on vehicle miles traveled and energy consumption: Differences between commuting and non-commuting trips. Cities 2017, 68, 25-36.
    Paper not yet in RePEc: Add citation now
    
11. Ding C.; Mishra S.; Lu G.; Yang J.; Liu C. Influences of built environment characteristics and individual factors on commuting distance: A multilevel mixture hazard modeling approach. Transp. Res. Part D Transp. Environ. 2017, 51, 314-325.
    Paper not yet in RePEc: Add citation now
    

12. Ding C.; Wang D.; Liu C.; Zhang Y.; Yang J. Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance. Transp. Res. Part A Policy Pract. 2017, 100, 65-80.

13. Gong Y.; Lin Y.; Duan Z. Exploring the spatiotemporal structure dynamic urban space using metro smart card records. Comput. Environ. Urban Syst. 2017, 64, 169-183.
    Paper not yet in RePEc: Add citation now
    
14. Helminen V.; Ristimaki M. Relationships between commuting distance, frequency and telework in Finland. J. Transp. Geogr. 2007, 15, 331-342.
    Paper not yet in RePEc: Add citation now
    
15. Hilbe J. Modeling Count Data; Cambridge University Press: Cambridge, UK, 2017.
    Paper not yet in RePEc: Add citation now
    

16. Holz-Rau C.; Scheiner J.; Sicks K. Travel distances in daily travel and long-distance travel: What role is played by urban form?. Environ. Plan. A 2014, 46, 488-507.

17. Hong J.; Shen Q.; Zhang L. How do built-environment factors affect travel behavior? A spatial analysis at different geographic scales. Transportation 2014, 41, 419-440.

18. Huang B.; Wu B.; Barry M. Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices. Int. J. Geogr. Inf. Sci. 2010, 24, 383-401.
    Paper not yet in RePEc: Add citation now
    
19. Huang X.; Cao X.; Yin J.; Cao X. Effects of metro transit on the ownership of mobility instruments in Xi’an, China. Transp. Res. Part D Transp. Environ. 2017, 52, 495-505.
    Paper not yet in RePEc: Add citation now
    
20. Jappinen S.; Toivonen T.; Salonen M. Modeling the potential effect of shared bicycles on public transport travel times in Greater Helsinki: An open data approach. Appl. Geogr. 2013, 43, 13-24. Gaode Open Platform.
    Paper not yet in RePEc: Add citation now
    

21. Jun M.; Choi K.; Jeong J.; Kwon K.; Kim H. Land use characteristics of subway catchment areas and their influence on subway ridership in Seoul. J. Transp. Geogr. 2015, 48, 30-40.

22. Klinger T.; Lanzendorf M. Moving between mobility cultures: What affects the travel behavior of new residents?. Transportation 2016, 43, 243-271.

23. Lee S.; Yi C.; Hong S.P. Urban structural hierarchy and the relationship between the ridership of the Seoul Metropolitan Subway and the land-use pattern of the station areas. Cities 2013, 35, 69-77.
    Paper not yet in RePEc: Add citation now
    
24. Loo B.P.; Chen C.; Chan E.T. Rail-based transit-oriented development: Lessons from New York City and Hong Kong. Landsc. Urban Plan. 2010, 97, 202-212.
    Paper not yet in RePEc: Add citation now
    

25. Ma X.; Liu C.; Wen H.; Wang Y.; Wu Y.J. Understanding commuting patterns using transit smart card data. J. Transp. Geogr. 2017, 58, 135-145.

26. Maat K.; Timmermans H.J.P. A causal model relating urban form with daily travel distance through activity/travel decisions. Transp. Plan. Technol. 2009, 32, 115-134.

27. Manaugh K.; Miranda-Moreno L.F.; El-Geneidy A.M. The effect of neighbourhood characteristics, accessibility, home–work location, and demographics on commuting distances. Transportation 2010, 37, 627-646.

28. Nanjing “13th Five-Year” Public Transport Development Planning; General Office of the People’s Government of Nanjing: Nanjing, China, 2017.
    Paper not yet in RePEc: Add citation now
    

29. Nasri A.; Zhang L. The analysis of transit-oriented development (TOD) in Washington, DC and Baltimore metropolitan areas. Transp. Policy 2014, 32, 172-179.

30. Palan N. Measurement of Specialization the Choice of Indices; Research Centre International Economics (FIW): Vienna, Austria, 2010.

31. Pan H.; Li J.; Shen Q.; Shi C. What determines rail transit passenger volume? Implications for transit oriented development planning. Transp. Res. Part D Transp. Environ. 2017, 57, 52-63.
    Paper not yet in RePEc: Add citation now
    
32. Pelletier M.P.; Trépanier M.; Morency C. Smart card data use in public transit: A literature review. Transp. Res. Part C Emerg. Technol. 2011, 19, 557-568.
    Paper not yet in RePEc: Add citation now
    
33. Singh A.C.; Astroza S.; Garikapati V.M.; Pendyala R.M.; Bhat C.R.; Mokhtarian P.L. Quantifying the relative contribution of factors to household vehicle miles of travel. Transp. Res. Part D Transp. Environ. 2018, 63, 23-36.
    Paper not yet in RePEc: Add citation now
    
34. Sun B.; Ermagun A.; Dan B. Built environmental impacts on commuting mode choice and distance: Evidence from Shanghai. Transp. Res. Part D Transp. Environ. 2017, 52, 441-453.
    Paper not yet in RePEc: Add citation now
    
35. Ta N.; Chai Y.; Zhang Y.; Sun D. Understanding job-housing relationship and commuting pattern in Chinese cities: Past, present and future. Transp. Res. Part D Transp. Environ. 2017, 52, 562-573.
    Paper not yet in RePEc: Add citation now
    

36. Tao S.; Rohde D.; Corcoran J. Examining the spatial–temporal dynamics of bus passenger travel behaviour using smart card data and the flow-comap. J. Transp. Geogr. 2014, 41, 21-36.

37. Van Acker V.; Witlox F. Car ownership as a mediating variable in car travel behaviour research using a structural equation modelling approach to identify its dual relationship. J. Transp. Geogr. 2010, 18, 65-74.

38. Wang D.; Zhou M. The built environment and travel behavior in urban China: A literature review. Transp. Res. Part D Transp. Environ. 2017, 52, 574-585.
    Paper not yet in RePEc: Add citation now
    
39. Wu W.; Hong J. Does public transit improvement affect commuting behavior in Beijing, China? A spatial multilevel approach. Transp. Res. Part D Transp. Environ. 2017, 52, 471-479.
    Paper not yet in RePEc: Add citation now
    

40. Yang M.; Wu J.; Rasouli S.; Cirillo C.; Li D. Exploring the impact of residential relocation on modal shift in commute trips: Evidence from a quasi-longitudinal analysis. Transp. Policy 2017, 59, 142-152.

41. Yang S.; Fan Y.; Deng W.; Cheng L. Do built environment effects on travel behavior differ between household members? A case study of Nanjing, China. Transp. Policy. 2019, 81, 360-370. Baidu Open Platform.

42. Yang Y.; Wang C.; Liu W.; Zhou P. Understanding the determinants of travel mode choice of residents and its carbon mitigation potential. Energy Policy 2018, 115, 486-493.

43. Zhao J.; Deng W.; Song Y.; Zhu Y. What influences Metro station ridership in China? Insights from Nanjing. Cities 2013, 35, 114-124.
    Paper not yet in RePEc: Add citation now
    
44. Zhong C.; Manley E.; Arisona S.M.; Batty M.; Schmitt G. Measuring variability of mobility patterns from multiday smart-card data. J. Comput. Sci. 2015, 9, 125-130.
    Paper not yet in RePEc: Add citation now
    

1. Differences in bike-sharing usage and its associations with station-surrounding characteristics: A multi-group analysis using machine learning techniques. (2025). Gu, Xinyue ; Silm, Siiri ; Hadachi, Amnir ; Jin, Tanhua ; Witlox, Frank ; Cai, Xiao.
   In: Journal of Transport Geography.
   RePEc:eee:jotrge:v:125:y:2025:i:c:s0966692325000924.

   Full description at Econpapers || Download paper

2. Discovering spatiotemporal usage patterns of a bike-sharing system by type of pass: a case study from Seoul. (2024). Kim, Kyoungok.
   In: Transportation.
   RePEc:kap:transp:v:51:y:2024:i:4:d:10.1007_s11116-023-10371-7.

   Full description at Econpapers || Download paper

3. Do road network patterns and points of interest influence bicycle safety? Evidence from dockless bike sharing in China and policy implications for traffic safety planning. (2024). Wang, Xuesong ; Zhao, Xiaohua ; Li, Jia.
   In: Transport Policy.
   RePEc:eee:trapol:v:149:y:2024:i:c:p:21-35.

   Full description at Econpapers || Download paper

4. Demand forecasting of shared bicycles based on combined deep learning models. (2024). Liu, Tao ; Ma, Changxi.
   In: Physica A: Statistical Mechanics and its Applications.
   RePEc:eee:phsmap:v:635:y:2024:i:c:s0378437123010476.

   Full description at Econpapers || Download paper

5. Spatio-temporal dynamics and recovery of commuting activities via bike-sharing around COVID-19: A case study of New York. (2024). Xin, Rui ; Yang, Jian ; Zhang, Yujuan ; Wang, Jiaoe ; Li, Tingting ; Gong, Mengjie.
   In: Journal of Transport Geography.
   RePEc:eee:jotrge:v:121:y:2024:i:c:s0966692324002400.

   Full description at Econpapers || Download paper

6. How does extreme temperature affect shared travel? Evidence from bike-sharing order flow in China. (2024). Wang, Zhaohua ; Zhao, Yuandong ; Chen, Siyuan ; Xue, Mengtian ; Zhang, Bin.
   In: Journal of Transport Geography.
   RePEc:eee:jotrge:v:118:y:2024:i:c:s0966692324001376.

   Full description at Econpapers || Download paper

7. Measuring exposure and contribution of different types of activity travels to traffic congestion using GPS trajectory data. (2024). Kan, Zihan ; Yang, Xue ; Lee, Jinhyung ; Liu, Dong.
   In: Journal of Transport Geography.
   RePEc:eee:jotrge:v:117:y:2024:i:c:s0966692324001054.

   Full description at Econpapers || Download paper

8. Why do people take e-scooter trips? Insights on temporal and spatial usage patterns of detailed trip data. (2023). Shah, Nitesh R ; Han, Lee D ; Guo, Jing ; Cherry, Christopher R.
   In: Transportation Research Part A: Policy and Practice.
   RePEc:eee:transa:v:173:y:2023:i:c:s0965856423001258.

   Full description at Econpapers || Download paper

9. Does greenness bring more green travelling? Evidence from free-floating bike-sharing in Beijing. (2023). Gao, Jiong ; Ma, Shoufeng ; Shuai, Ling ; Wang, Lei ; Du, Huibin.
   In: Journal of Transport Geography.
   RePEc:eee:jotrge:v:109:y:2023:i:c:s0966692323000583.

   Full description at Econpapers || Download paper

10. Investigation of modal integration of bike-sharing and public transit in Seoul for the holders of 365-day passes. (2023). Kim, Kyoungok.
    In: Journal of Transport Geography.
    RePEc:eee:jotrge:v:106:y:2023:i:c:s0966692322002411.

    Full description at Econpapers || Download paper

11. Exploring topics and trends in Chinese ATC incident reports using a domain-knowledge driven topic model. (2023). Chen, Yixuan ; Bao, Jie ; Yin, Jianan ; Zhu, Dan.
    In: Journal of Air Transport Management.
    RePEc:eee:jaitra:v:108:y:2023:i:c:s0969699723000170.

    Full description at Econpapers || Download paper

12. The impact of COVID-19 on bike-sharing travel pattern and flow structure: evidence from Wuhan. (2022). Li, Xqiumeng ; Xu, Weipan.
    In: Cambridge Journal of Regions, Economy and Society.
    RePEc:oup:cjrecs:v:15:y:2022:i:3:p:477-494..

    Full description at Econpapers || Download paper

13. The Role of Bike Sharing in Promoting Transport Resilience. (2022). Mi, Zhifu ; Cheng, LU ; Meng, Jing ; Chang, Dongfeng ; Coffman, Dmaris ; Liu, Dining.
    In: Networks and Spatial Economics.
    RePEc:kap:netspa:v:22:y:2022:i:3:d:10.1007_s11067-021-09518-9.

    Full description at Econpapers || Download paper

14. Fare adjustment’s impacts on travel patterns and farebox revenue: An empirical study based on longitudinal smartcard data. (2022). Chen, Ruoyu ; Zhou, Jiangping.
    In: Transportation Research Part A: Policy and Practice.
    RePEc:eee:transa:v:164:y:2022:i:c:p:111-133.

    Full description at Econpapers || Download paper

15. Large-scale dockless bike sharing repositioning considering future usage and workload balance. (2022). Chen, Xuewu ; Hua, Mingzhuang ; Cheng, Long ; Huang, DI.
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:605:y:2022:i:c:s0378437122006227.

    Full description at Econpapers || Download paper

16. Identifying trip purpose from a dockless bike-sharing system in Manchester. (2022). Pinto, Nuno ; Walton, Neil ; Ross-Perez, Antonio.
    In: Journal of Transport Geography.
    RePEc:eee:jotrge:v:99:y:2022:i:c:s0966692322000163.

    Full description at Econpapers || Download paper

17. Why they dont choose bus service? Understanding special online car-hailing behavior near bus stops. (2021). Ye, Zhirui ; Hu, Liyang ; Bi, Hui ; Zhu, HE.
    In: Transport Policy.
    RePEc:eee:trapol:v:114:y:2021:i:c:p:280-297.

    Full description at Econpapers || Download paper

18. A comparison of users’ characteristics between station-based bikesharing system and free-floating bikesharing system: case study in Hangzhou, China. (2020). Sun, Yilin ; Yang, Wentao ; Chen, Mengwei ; Owen, E ; Wang, Dianhai.
    In: Transportation.
    RePEc:kap:transp:v:47:y:2020:i:2:d:10.1007_s11116-018-9910-7.

    Full description at Econpapers || Download paper

19. Discovering the Hidden Community Structure of Public Transportation Networks. (2020). Kresz, Miklos ; Gardner, Lauren M ; Hajdu, Laszlo ; Bota, Andras ; Khani, Alireza.
    In: Networks and Spatial Economics.
    RePEc:kap:netspa:v:20:y:2020:i:1:d:10.1007_s11067-019-09476-3.

    Full description at Econpapers || Download paper

20. Impact of Weather Conditions and Built Environment on Public Bikesharing Trips in Beijing. (2020). Ma, Siyong ; Liang, Quan ; Lin, Pengfei ; Weng, Jiancheng ; Alivanistos, Dimitrios.
    In: Networks and Spatial Economics.
    RePEc:kap:netspa:v:20:y:2020:i:1:d:10.1007_s11067-019-09465-6.

    Full description at Econpapers || Download paper

21. Policy Zoning for Efficient Land Utilization Based on Spatio-Temporal Integration between the Bicycle-Sharing Service and the Metro Transit. (2020). Xie, Yingkun ; Li, Weifeng ; Yu, Qing ; Yang, Dongyuan.
    In: Sustainability.
    RePEc:gam:jsusta:v:13:y:2020:i:1:p:141-:d:468266.

    Full description at Econpapers || Download paper

22. An Evaluation and Region Division Method for Ecosystem Service Supply and Demand Based on Land Use and POI Data. (2020). Liu, YU ; Pan, Yuchun ; Tang, Xiumei.
    In: Sustainability.
    RePEc:gam:jsusta:v:12:y:2020:i:6:p:2524-:d:336096.

    Full description at Econpapers || Download paper

23. Identifying and Segmenting Commuting Behavior Patterns Based on Smart Card Data and Travel Survey Data. (2020). Ma, Siyong ; Lin, Pengfei ; Weng, Jiancheng ; Alivanistos, Dimitrios ; Yin, Baocai.
    In: Sustainability.
    RePEc:gam:jsusta:v:12:y:2020:i:12:p:5010-:d:373532.

    Full description at Econpapers || Download paper

24. Free-floating bikesharing in Vienna – A user behaviour analysis. (2020). Hinterreiter, Michael ; Strasser, Christoph ; Link, Christoph.
    In: Transportation Research Part A: Policy and Practice.
    RePEc:eee:transa:v:135:y:2020:i:c:p:168-182.

    Full description at Econpapers || Download paper

25. Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai, China. (2020). Xing, Yingying ; Wang, KE ; Lu, Jian John.
    In: Journal of Transport Geography.
    RePEc:eee:jotrge:v:87:y:2020:i:c:s0966692319307665.

    Full description at Econpapers || Download paper

26. Investigating the impacts of built environment on traffic states incorporating spatial heterogeneity. (2020). Ma, Yongfeng ; Pan, Yingjiu ; Chen, Shuyan ; Niu, Shi Feng ; Tang, Kun.
    In: Journal of Transport Geography.
    RePEc:eee:jotrge:v:83:y:2020:i:c:s0966692319305988.

    Full description at Econpapers || Download paper

27. Evaluating the Effects of Household Characteristics on Household Daily Traffic Emissions Based on Household Travel Survey Data. (2019). Wu, Shuyue ; Xu, Chengcheng.
    In: Sustainability.
    RePEc:gam:jsusta:v:11:y:2019:i:6:p:1684-:d:215712.

    Full description at Econpapers || Download paper

28. Incorporating Smart Card Data in Spatio-Temporal Analysis of Metro Travel Distances. (2019). Ye, Zhirui ; Bi, Hui ; Chen, Enhui.
    In: Sustainability.
    RePEc:gam:jsusta:v:11:y:2019:i:24:p:7069-:d:296309.

    Full description at Econpapers || Download paper

29. Analysis of Spatial and Temporal Characteristics of Citizens’ Mobility Based on E-Bike GPS Trajectory Data in Tengzhou City, China. (2019). Dai, Zhaoxin ; Li, Yixiao ; Liu, Xiaoli ; Zhu, Lining.
    In: Sustainability.
    RePEc:gam:jsusta:v:11:y:2019:i:18:p:5003-:d:266806.

    Full description at Econpapers || Download paper

30. Urban Growth, Transport Planning, Air Quality and Health: A Multi-Objective Spatial Analysis Framework for a Linear Monocentric City. (2018). Connors, Richard D.
    In: Networks and Spatial Economics.
    RePEc:kap:netspa:v:18:y:2018:i:4:d:10.1007_s11067-018-9398-x.

    Full description at Econpapers || Download paper

31. Using points-of-interest data to estimate commuting patterns in central Shanghai, China. (2018). Li, Mengya ; Kwan, Mei-Po ; Wang, Jun.
    In: Journal of Transport Geography.
    RePEc:eee:jotrge:v:72:y:2018:i:c:p:201-210.

    Full description at Econpapers || Download paper

Report date: 2025-10-04 15:01:51 || Missing content? Let us know