[2] Acheampong, R. A. (2020) ‘Spatial structure, intra-urban commuting patterns and travel mode choice: Analyses of relationships in the Kumasi Metropolis, Ghana’, Cities, vol. 96, p. 102432.
[3] Krehl, A. (2015) ‘Urban spatial structure: An interaction between employment and built-up volumes’, Regional Studies, Regional Science, vol. 2, no. 1, pp. 290–308.
[4] Angel, S. and Blei, A. M. (2016) ‘The spatial structure of American cities: The great majority of workplaces are no longer in CBDs, employment sub-centers, or live-work communities’, Cities, vol. 51, pp. 21–35.
[5] Boarnet, M. G. and Wang, X. (2019) ‘Urban spatial structure and the potential for vehicle miles traveled reduction: The effects of accessibility to jobs within and beyond employment sub-centers’, The Annals of Regional Science, vol. 122, p. 775.
[6] Muñiz, I. and Sánchez, V. (2018) ‘Urban Spatial Form and Structure and Greenhouse-gas Emissions from Commuting in the Metropolitan Zone of Mexico Valley’, Ecological Economics, vol. 147, pp. 353–364.
[7] Nam, K., Kim, B. and Lim, U. (2016) ‘Quantitative Regional Economic and Environmental Analysis for Sustainability in Korea’, Quantitative Regional Economic and Environmental Analysis for Sustainability in Korea, pp. 171–189 [Online]. Available at DOI 10.1007/978-981-10-0300-4_10.
[8] Sohn, J. (2005) ‘Are commuting patterns a good indicator of urban spatial structure?’, Journal of Transport Geography, vol. 13, no. 4, pp. 306–317.
[9] Lin, D., Allana, A. and Cui, J. (2015) ‘The impacts of urban spatial structure and socio-economic factors on patterns of commuting: a review’, International Journal of Urban Sciences, Pages 238-255 [Online]. Available at http://dx.doi.org/10.1080/12265934.2015.1016092.
[10] Hu, L., Sun, T. and Wang, L. (2018) ‘Evolving urban spatial structure and commuting patterns: A case study of Beijing, China’, Transportation Research Part D: Transport and Environment, vol. 59, pp. 11–22.
[11] Jun, M.-J. (2020) ‘The effects of polycentric evolution on commute times in a polycentric compact city: A case of the Seoul Metropolitan Area’, Cities, vol. 98, p. 102587.
[12] Antipova, A. (2018) Urban environment, travel behavior, health, and resident satisfaction, Cham, Palgrave Macmillan.
[13] Cervero, R. (1989) ‘Jobs-Housing Balancing and Regional Mobility’, Journal of the American Planning Association, vol. 55, no. 2, pp. 136–150.
[14] Dong, T., Jiao, L., Xu, G., Yang, L. and Liu, J. (2019) ‘Towards sustainability: Analyzing changing urban form patterns in the United States, Europe, and China’, Science of The Total Environment, vol. 671, pp. 632–643.
[15] Duarte, C. M. and Fernández, M. T. (2017) ‘The Influence of Urban Structure on Commuting: An Analysis for the Main Metropolitan Systems in Spain’, Procedia Engineering, vol. 198, pp. 52–68.
[16] Engelfriet, L. and Koomen, E. (2018) ‘The impact of urban form on commuting in large Chinese cities’, Transportation, vol. 45, no. 5, pp. 1269–1295.
[17] Fosgerau, M. and Kim, J. (2019) ‘Commuting and land use in a city with bottlenecks: Theory and evidence’, Regional Science and Urban Economics, vol. 77, pp. 182–204.
[18] Liu, Y., Fang, F. and Jing, Y. (2020) ‘How urban land use influences commuting flows in Wuhan, Central China: A mobile phone signaling data perspective’, Sustainable Cities and Society, vol. 53, p. 101914.
[19] Lu, Y., Sun, G., Sarkar, C., Gou, Z. and Xiao, Y. (2018) ‘Commuting Mode Choice in a High-Density City: Do Land-Use Density and Diversity Matter in Hong Kong?’, International Journal of Environmental Research and Public Health, vol. 15, no. 5, p. 920.
[20] MarciĆczak, S. and Bartosiewicz, B. (2018) ‘Commuting patterns and urban form: Evidence from Poland’, Journal of Transport Geography, vol. 70, pp. 31–39.
[21] Yao, Z. and Kim, C. (2017) ‘The Changes of Urban Structure and Commuting: An Application to Metropolitan Statistical Areas in the United States’, International Regional Science Review, vol. 42, no. 1, pp. 3–30.
[22] Zhang, Z. (2017) ‘A Study on Urban Spatial Structure in the Context of the Jobs-Housing Balance: A Case of Suzhou, China’, Smart Growth and Sustainable Development, GeoJournal Library 122, pp. 73–85.
[23] Zhou, H. and Gao, H. (2020) ‘The impact of urban morphology on urban transportation mode: A case study of Tokyo’, Case Studies on Transport Policy, vol. 8, no. 1, pp. 197–205.
[24] Sun, B., Zhang, T., He, Z. and Wang, R. (2016) ‘URBAN SPATIAL STRUCTURE AND MOTORIZATION IN CHINA’, Journal of Regional Science, vol. 57, no. 3, pp. 470–486.
[25] Krehl, A., Siedentop, S., Taubenböck, H. and Wurm, M. (2016) ‘A Comprehensive View on Urban Spatial Structure: Urban Density Patterns of German City Regions’, ISPRS International Journal of Geo-Information, vol. 5, no. 6, p. 76.
[26] Bertaud, A. (2004) The Spatial Organization of Cities: Deliberate Outcome or Unforeseen Consequence?: Working Paper [Online], 01th edn, University of California, Institute of Urban and Regional Development, Berkeley, CA.
[27] Chatman, D. G. (2003) ‘How Density and Mixed Uses at the Workplace Affect Personal Commercial Travel and Commute Mode Choice’, Transportation Research Record: Journal of the Transportation Research Board, vol. 1831, no. 1, pp. 193–201.
[28] Ewing, R. and Cervero, R. (2010) ‘Travel and the Built Environment’, Journal of the American Planning Association, vol. 76, no. 3, pp. 265–294.
[29] Gordon, P. and Richardson, H. W. (1996) ‘Beyond Polycentricity: The Dispersed Metropolis, Los Angeles, 1970-1990’, Journal of the American Planning Association, vol. 62, no. 3, pp. 289– 295.
[30] Bento, A. M., Cropper, M. L., Mobarak, A. M. and Vinha, K. (2005) ‘The Effects of Urban Spatial Structure on Travel Demand in the United States’, Review of Economics and Statistics, vol. 87, no. 3, pp. 466–478.
[31] Silva, J. d. A. e., Golob, T. F. and Goulias, K. G. (2006) ‘Effects of Land Use Characteristics on Residence and Employment Location and Travel Behavior of Urban Adult Workers’, Smart Growth and Sustainable Development, Geo-Journal Library 122, vol. 1977, no. 1, pp. 121– 131.