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Two Dimensions for Determining and Analyzing the Patterns of the Modal Accessibility Gap in Nanjing, China

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Abstract

Measuring the modal accessibility gap (MAG) is useful for evaluating sustainable transportation development and urban land use. Meanwhile, reducing reliance on private transport (e.g., car use) and raising public transport usage (e.g., bus, metro, light rail, bicycle) is frequently a major goal of transport strategies. Against this background, this study measures the MAG in multi-modal transportation networks from two perspectives: mobility (travel modes and traffic conditions) and proximity (the location and attractiveness of the destination) and describes the methodology developed for an application across the metropolitan area of Nanjing, China. The results show substantial differences between public and private transport in a multi-modal urban network environment based on a realistic “door-to-door” model. In addition, we find that the accessibility advantage of cars is always better than the transit and cycling modes but only from a mobility perspective. The analysis of the sustainability of urban transport should also take account of the location and service capability of the destination and the influence of traffic congestion. The patterns of the smallest MAG scores between the transit and car modes are concentrated along metro and bus routes, and thus they change with traffic fluctuations. On the contrary, the patterns of the smallest MAG scores between the cycling and car modes are concentrated in central urban areas and are thereby affected by traffic conditions including road destiny, river obstacles, and the cross-river channel. Finally, the range of the lowest MAG scores shows a broader distribution in central urban areas in peak hours compared with in off-peak hours.

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Notes

  1. The population data set was provided by the Data Center for Resources and Environmental Sciences, Chinese Academy of Sciences (http://www.resdc.cn), regarding terrain and population density.

  2. See http://www.njghj.gov.cn/.

  3. See footnote 1.

  4. See http://www.nanjing.gov.cn/.

  5. See http://www.njghj.gov.cn/.

References

  • Albacete, X., Olaru, D., Paül, V., & Biermann, S. (2015). Measuring the Accessibility of Public Transport: A Critical Comparison Between Methods in Helsinki. Applied Spatial Analysis & Policy, 1–28.

  • Banister, D. (2000). Sustainable urban development and transport-a Eurovision for 2020. Transport Reviews, 20(1), 113–130.

    Article  Google Scholar 

  • Banister, D. (2008). The sustainable mobility paradigm. Transport Policy, 15(2), 73–80.

    Article  Google Scholar 

  • Banister, D. (2011). Cities, mobility, and climate change. Journal of Transport Geography, 19(6), 1538–1546.

    Article  Google Scholar 

  • Benenson, I., Martens, K., & Rofe, Y. (2010). Measuring the gap between Car and transit accessibility: Estimating access using a high-resolution transit network geographic information system. Transportation Research Record Journal of the Transportation Research Board, 2144(2144), 28–35.

    Article  Google Scholar 

  • Cervero R. (2005).Accessible cities and regions: A framework for sustainable transport and urbanism in the 21st century. US Berkeley Center for Future Urban Transport.

  • Chakroborty, P. (2017). Sustainable transportation for Indian cities: Role of intelligent transportation systems. Current Science, 100(9), 1386–1390.

    Google Scholar 

  • Chen, J., Ni, J., Xi, C., Li, S., & Wang, J. (2017). Determining intra-urban spatial accessibility disparities in multimodal public transport networks. Journal of Transport Geography, 65, 123–133.

    Article  Google Scholar 

  • Chow, A. S. Y. (2014). Urban design, transport sustainability and Residents' perceived sustainability: A case study of transit-oriented development in Hong Kong. Journal of Comparative Asian Development, 13(1), 73–104.

    Article  Google Scholar 

  • Cullinane, S., & Cullinane, K. (2005). Car dependence in a public transport dominated city: Evidence from Hong Kong. Transportation Research Part D, 8(2), 129–138.

    Article  Google Scholar 

  • Curtis, C. (2012). Transitioning to transit-oriented development: The case of Perth, Western Australia. Urban Policy and Research, 30(3), 275–292.

    Article  Google Scholar 

  • Fone, D. L., Christie, S., & Lester, N. (2006). Comparison of perceived and modelled geographical access to accident and emergency departments: A cross-sectional analysis from the Caerphilly health and social needs study. International Journal of Health Geographics, 5(1), 1–10.

    Article  Google Scholar 

  • Handy, S. L., & Niemeier, D. A. (1997). Measuring accessibility: An exploration of issues and alternatives. Environment & Planning A, 29(7), 1175–1194.

    Article  Google Scholar 

  • Hansen, W. G. (1959). How accessibility shapes land use. Journal of the American Institute of Planners, 25(2), 73–76.

    Article  Google Scholar 

  • Haynes, R., Jones, A. P., Sauerzapf, V., & Zhao, H. (2006). Validation of travel times to hospital estimated by GIS. International Journal of Health Geographics, 5(1), 40.

    Article  Google Scholar 

  • Jones, P., & Lucas, K. (2012). The social consequences of transport decision-making: Clarifying concepts, synthesising knowledge and assessing implications. Journal of Transport Geography, 21(2), 4–16.

    Article  Google Scholar 

  • Kawabata, M. (2008). Job access and employment among low-skilled autoless workers in US metropolitan areas. Environment & Planning A, 35(9), 1651–1668.

    Article  Google Scholar 

  • Kawabata, M. (2009). Spatiotemporal dimensions of modal accessibility disparity in Boston and San Francisco. Environment & Planning A, 41(1), 183–198.

    Article  Google Scholar 

  • Kawabata, M., & Shen, Q. (2007). Commuting inequality between cars and public transit: The case of San Francisco Bay Area, 1990–2000. Urban Studies, 44(9), 1759–1780.

    Article  Google Scholar 

  • Kwok, R. C. W., & Yeh, A. G. O. (2004). The use of modal accessibility gap as an indicator for sustainable transport development. 36(5), 921–936.

  • Larsen, K., & Gilliland, J. (2008). Mapping the evolution of 'food deserts' in a Canadian city: Supermarket accessibility in London, Ontario, 1961–2005. International Journal of Health Geographics, 7(1), 1–16.

    Article  Google Scholar 

  • Luo, W., & Wang, F. (2008). Measures of spatial accessibility to health care in a GIS environment: Synthesis and a case study in the Chicago region. Environment and Planning B Planning & Design, 30(6), 865–884.

    Article  Google Scholar 

  • Mavoa, S., Witten, K., Mccreanor, T., & O’Sullivan, D. (2012). GIS based destination accessibility via public transit and walking in Auckland, new Zealand. Journal of Transport Geography, 20(1), 15–22.

    Article  Google Scholar 

  • Ni, J., Wang, J., Rui, Y., Qian, T., & Wang, J. (2015). An enhanced variable two-step floating catchment area method for measuring spatial accessibility to residential care facilities in Nanjing. International Journal of Environmental Research & Public Health, 12(11), 14490–14504.

    Article  Google Scholar 

  • Páez, A., Scott, D. M., & Morency, C. (2012). Measuring accessibility: Positive and normative implementations of various accessibility indicators. Journal of Transport Geography, 25(9), 141–153.

    Article  Google Scholar 

  • Reggiani, A., Bucci, P., & Russo, G. (2014). Accessibility and impedance forms: Empirical applications to the German commuting networks. International Regional Science Review, 34(2), 230–252.

    Article  Google Scholar 

  • Rietveld, P. (2000). The accessibility of railway stations: The role of the bicycle in the Netherlands. Transportation Research Part D Transport & Environment, 5(1), 71–75.

    Article  Google Scholar 

  • Saghapour, T., Moridpour, S., & Thompson, R. G. (2016). Public transport accessibility in metropolitan areas: A new approach incorporating population density. Journal of Transport Geography, 54, 273–285.

    Article  Google Scholar 

  • Salonen, M., & Toivonen, T. (2013). Modelling travel time in urban networks: Comparable measures for private car and public transport. Journal of Transport Geography, 31, 143–153.

    Article  Google Scholar 

  • Su, S., Li, Z., Xu, M., Cai, Z., & Weng, M. (2017). A geo-big data approach to intra-urban food deserts: Transit-varying accessibility, social inequalities, and implications for urban planning. Habitat International, 64, 22–40.

    Article  Google Scholar 

  • Vale, D. S., & Pereira, M. (2017). The influence of the impedance function on gravity-based pedestrian accessibility measures: A comparative analysis. Environment and Planning B Planning and Design, 44(4).

  • Vries, J. J. D., Nijkamp, P., & Rietveld, P. (2004). Exponential or power distance-decay for commuting? An Alternative Specification. Environment & Planning A, 41(2), 461–480.

    Article  Google Scholar 

  • Wang, F., & Xu, Y. (2011). Estimating O–D travel time matrix by Google maps API: Implementation, advantages, and implications. Annals of GIS, 17(4), 199–209.

    Article  Google Scholar 

  • Yang, W., Chen, B. Y., Cao, X., Li, T., & Li, P. (2017a). The spatial characteristics and influencing factors of modal accessibility gaps: A case study for Guangzhou, China. Journal of Transport Geography, 60, 21–32.

    Article  Google Scholar 

  • Yang, X., Sarkar, C., Webster, C., Chiaradia, A., & Lu, Y. (2017b). Street network accessibility-based methodology for appraisal of land use master plans: An empirical case study of Wuhan, China. Land Use Policy, 69(c), 193–203.

    Google Scholar 

  • Zając, A. P. (2016). City accessible for everyone – Improving accessibility of public transport using the universal design concept. Transportation Research Procedia, 14, 1270–1276.

    Article  Google Scholar 

Download references

Acknowledgments

This project was supported by the National Natural Science Foundation of China(41571377). We would like to express appreciations to colleagues in the laboratory for their constructive suggestions. Also, we thank the anonymous reviewers and members of the editorial team for their constructive comments.

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Correspondence to Jiechen Wang.

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Chen, J., Fu, Z., Wu, W. et al. Two Dimensions for Determining and Analyzing the Patterns of the Modal Accessibility Gap in Nanjing, China. Appl. Spatial Analysis 13, 27–49 (2020). https://doi.org/10.1007/s12061-018-9285-3

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  • DOI: https://doi.org/10.1007/s12061-018-9285-3

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