[1] Modelling urban spatial impacts of land-use/ transport policies[J]. Journal of Geographical Sciences, 29, 197-212(2019).

[2] Bus rapid transit impacts on land uses and land values in Seoul, Korea[J]. Transport Policy, 18, 102-116(2011).

[3] The impact of land-use mix on residents' travel energy consumption: New evidence from Beijing[J]. Transportation Research Part D: Transport and Environment, 57, 224-236(2017).

[4] An analysis of the spatio-temporal impacts of major infrastructure on real estate prices: Take Beijing Metro Line 4 as an Example[J]. Journal of Beijing Union University, 24, 1171-1180(2013).

[5] UrbanSim: Modeling urban development for land use, transportation, and environmental planning[J]. Journal of the American Planning Association, 68, 297-314(2002).

[6] [6] 金相郁. 20世纪区位理论的五个发展阶段及其评述[J]. 经济地理, 2004,24(3):294-298,317. [ JinX Y. Survey and evaluation of location theory in 20 century by five development stage[J]. Economic Geography, 2004,24(3):294-298,317. [ Jin X Y. Survey and evaluation of location theory in 20 century by five development stage[J]. Economic Geography, 2004,24(3):294-298,317.

[7] et alInternational comparison of the relationship between urban structure and the service level of urban public transportation: A comprehensive analysis in local cities in Japan, France and Germany[J]. Transport Policy, 30, 26-39(2013).

[8] Twenty years of the bay area rapid transit system: Land use and development impacts[J]. Transportation Research Part A: Policy and Practice, 31, 309-333(1997).

[9] et alThe cost of equity: Assessing transit accessibility and social disparity using total travel cost[J]. Transportation Research Part A: Policy and Practice, 91, 302-316(2016).

[10] et alModeling spatial segregation and travel cost influences on utilitarian walking: Towards policy intervention[J]. Computers, Environment and Urban Systems, 51, 59-69(2015).

[11] Re-evaluating the impact of urban form on travel patterns in Europe and North-America[J]. Transport Policy, 13, 229-239(2006).

[12] Examination of relationships between urban form, household activities, and time allocation in the Atlanta Metropolitan Region[J]. Transportation Research Part A: Policy and Practice, 43, 360-373(2009).

[13] Travel behaviour and life course: Examining changes in car use after residential relocation in Beijing[J]. Journal of Transport Geography, 73, 41-53(2018).

[14] The impact of urban growth on commuting patterns in a restructuring city: Evidence from Beijing[J]. Papers in Regional Science, 90, 735-754(2011).

[15] A dynamic model of urban structure[report]. RAND Corporation, Santa Monica, California, United States(1968).

[16] A statistical theory of spatial distribution models[J]. Transportation Research, 1, 253-269(1967).

[17] Preliminary results from an integrated transportation and land use models package[J]. Transportation, 3, 193-224(1974).

[18] et alProjective land use model - PLUM, volumeⅠ-plan making with a computer model, volume Ⅱ- theory and application, volume Ⅲ- computer systems guide[report]. Berkeley, United States(1972).

[19] LILT and MEPLAN: A comparative analysis of land-use and transport policies for Leeds[J]. Transport Reviews, 11, 131-154(1991).

[20] Urban simulacra: London[J]. Architectural Design, 75, 42-47(2010).

[21] Regional land use schemes generated by TOPAZ[J]. Regional Studies the Journal of the Regional Studies Association, 7, 373-386(1973).

[22] Dynamic model of urban retail location and shopping travel[J]. Transportation Research Record, 1-8(1986).

[23] Access: The transport-land use economic link[J]. Transportation Research Part B: Methodological, 29, 457-470(1995).

[24] Design and development of a statewide land use transport model for Alberta[J]. Journal of Transportation Systems Engineering and Information Technology, 7, 79-89(2007).

[25] A MEPLAN model of Cambridgeshire - transportation planning methods,proceedings of Seminar C held at the PTRC summer annual meeting[C]. Publication of PTRC Education and Research Services Limited, England(1987).

[26] Comprehensive regional modeling for long-range planning: Linking integrated urban models and geographic information systems[J]. Transportation Research Part A: Policy and Practice, 34, 125-136(2001).

[27] [M]. The objectives and design of a new land-use modelling package: DELTA. In: Clarke G, Madden M(eds.)Regional Science in Business, 160-188(2001).

[28] Dynamic housing market equilibrium with taste heterogeneity, idiosyncratic perfect foresight, and stock conversions[J]. Journal of Housing Economics, 1, 2-32(1991).

[29] et alMicrosimulating urban systems[J]. Computers Environment and Urban Systems, 28, 9-44(2004).

[30] The residential choice module in the albatross and ramblas model systems[M]. In: Pagliara F, Preston J, Simmonds D (eds.) Residential Location Choice[M]. Advances in Spatial Science (The Regional Science Series). Springer, Berlin, Heidelberg(2001).

[31] Master model (micro-analytical simulation of transport, employment and residence)[report]. Transport and Road Research Laboratory, Wokingham, Berkshire, United Kingdom(1990).

[32] [M]. Employment and labour in urban markets in the IRPUD model. In: Pagliara F, Bok M D (eds.), Employment Location in Cities and Regions: Models and Applications(2013).

[33] et alPreliminary results of a multiagent traffic simulation for Berlin[J]. Advances in Complex Systems, 10, 289-307(2007).

[34] Calibration of the SLEUTH urban growth model for Lisbon and Porto, Portugal[J]. Computers Environment and Urban Systems, 26, 525-552(2002).

[35] et alOptimization by estimation of distribution with DEUM framework based on Markov random fields[J]. International Journal of Automation and Computing, 4, 262-272(2007).

[36] et alModeling the spatial dynamics of regional land use: The CLUE-S Model[J]. Environmental Management, 30, 391-405(2002).

[37] Current operational urban land use-transport modelling frameworks: A review[J]. Transport Reviews, 25, 329-376(2005).

[38] Models of transportation and land use change: A guide to the territory[J]. Journal of Planning Literature, 22, 323-340(2008).

[39] The saga of integrated land use - transport modeling: How many more dreams before we wake up?[C]. 10 thInternational Conference on Travel Behaviour Research.Lucerne, Switzerland(2003).

[40] Location and land use: Toward a general theory of land rent[J]. Economic Geography, 42, 11-26(1964).

[41] et alMicrosimulation of land use[J]. International Journal of Urban Sciences, 7, 14-31(2003).

[42] How derived is the demand for travel? Some conceptual and measurement considerations[J]. Transportation Research Part A: Policy and Practice, 35, 695-719(2001).

[43] A model for integrated analysis of household location and travel choices[J]. Transportation Research Part A: Policy and Practice, 34, 375-394(2000).

[44] ILUTE: An operational prototype of a comprehensive microsimulation model of urban systems[J]. Networks and Spatial Economics, 5, 217-234(2005).

[45] et alA cellular automata-based land use and transport interaction model applied to Jeddah, Saudi Arabia[J]. Landscape and Urban Planning, 112, 89-99(2013).

[46] et alMulti-agent systems for the simulation of land-use and land-cover change: A review[J]. Annals of the Association of American Geographers, 93, 314-337(2003).

[47] Modelling urban growth patterns[J]. Nature, 377, 608-612(1995).

[48] The future of mobility in cities: Challenges for urban modelling[J]. Transport Policy, 29, 275-282(2013).

[49] [49] 吴健生, 李博, 黄秀兰. 小城市居民出行行为时空动态及驱动机制研究[J]. 地球信息科学学报, 2017,19(2):176-184. [ WuJ S, LiB, HuangX L. Spatio-temporal dynamics and driving mechanisms of resident trip in small cities[J]. Journal of Geo-information Science, 2017,19(2):176-184.] [ Wu J S, Li B, Huang X L. Spatio-temporal dynamics and driving mechanisms of resident trip in small cities[J]. Journal of Geo-information Science, 2017,19(2):176-184.]

[50] [50] 曹劲舟, 涂伟, 李清泉, 等. 基于大规模手机定位数据的群体活动时空特征分析[J]. 地球信息科学学报, 2017,19(4):467-474. [ CaoJ Z, TuW, LIQ Q, et al. Spatio-temporal analysis of aggregated human activities based on massive mobile phone tracking data[J]. Journal of Geo-information Science, 2017,19(4):467-474. ] [ Cao J Z, Tu W, LI Q Q, et al. Spatio-temporal analysis of aggregated human activities based on massive mobile phone tracking data[J]. Journal of Geo-information Science, 2017,19(4):467-474. ]

[51] The impact of the built environment on individual workers' commuting behavior in Beijing[J]. International Journal of Sustainable Transportation, 7, 389-415(2013).

[52] Sustainable urban expansion and transportation in a growing megacity: Consequences of urban sprawl for mobility on the urban fringe of Beijing[J]. Habitat International, 34, 236-243(2010).

[53] et alLow-density settlements and land use changes in a Mediterranean urban region[J]. Landscape and Urban Planning, 105, 43-52(2012).

[54] Obesity relationships with community design, physical activity, and time spent in cars[J]. American Journal of Preventive Medicine, 27, 87-96(2004).

[55] [55] 陈彦光, 刘明华. 城市土地利用结构的熵值定律[J]. 人文地理, 2001,16(4):25-29. [ ChenY G, LiuM H. The basic laws of the shannon entropy values of urban land-use composition[J]. Human Geography, 2001,16(4):25-29. ] [ Chen Y G, Liu M H. The basic laws of the shannon entropy values of urban land-use composition[J]. Human Geography, 2001,16(4):25-29. ]

[56] Accessibility evaluation of land-use and transport strategies: Review and research directions[J]. Journal of Transport Geography, 12, 127-140(2004).

[57] The influence of land use on travel behavior: specification and estimation strategies[J]. Transportation Research Part A: Policy and Practice, 35, 823-845(2008).

[58] Suburbanization, land use of TOD and lifestyle mobility in the suburbs: An examination of passengers' choice to live, shop and entertain in the metro station areas of Beijing[J]. Journal of Transport and Land Use, 11, 195-215(2018).

[59] The intention to move and residential location choice behaviour[J]. Urban Studies, 42, 1621-1636(2005).

[60] Accessibility changes and urban house rrice appreciation: A constrained optimization approach to determining distance effects[J]. Journal of Housing Economics, 9, 187-196(2000).

[61] et alHouse prices and accessibility: Evidence from a natural experiment in transport infrastructure[report]. CPB Netherlands Bureau for Economic Policy Analysis, Netherlands(2016).

[62] A combined trip distribution modal split and trip assignment model[J]. Transportation Research, 12, 241-246(1978).

[63] et alRoute choice model considering generalized travel cost based on game theory[J]. athematical Problems in Engineering, 1815, 681-703(2013).

[64] The effects of travel time and cost savings on commuters' decision to travel on public transport routes involving transfers[J]. Journal of Transport Geography, 43, 151-159(2015).

[65] Consistency and fungibility of monetary valuations in transport: An empirical analysis of framing and mental accounting effects[J]. Transportation Research Part A: Policy and Practice, 46, 1507-1516(2012).

[66] et alConstruction of road network vulnerability evaluation index based on general travel cost[J]. Physica A: Statistical Mechanics and its Applications, 493, 421-429(2017).

[67] et alModelling the spatial interactions between workplace and residential location[J]. Transportation Research Part A: Policy and Practice, 49, 110-122(2013).

[68] A methodological framework for the study of residential location and travel-to-work mode choice under central and suburban employment destination patterns[J]. Transportation Research Part A: Policy and Practice, 43, 401-419(2009).

[69] Determinant of residential location choice in a transitional housing market: Evidence based on micro survey from Beijing[J]. Habitat International, 39, 16-24(2013).

[70] The role of location in residential location choice models: A review of literature[J]. The Journal of Transport and Land Use, 7, 3-21(2014).

[71] Simultaneous estimation of residential, workplace location and travel mode choice based on Nested Logit model[C]. 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery(2010).

[72] et alAgent-based joint model of residential location choice and real estate price for land use and transport model[J]. Computers, Environment and Urban Systems, 57, 93-105(2016).

[73] The impact of metro services on housing prices: A case study from Beijing[J]. Transportation, 1-27(2017).

[74] [74] 尹上岗, 李在军, 宋伟轩, 等. 基于地理探测器的南京市住宅租金空间分异格局及驱动因素研究[J]. 地球信息科学学报, 2018(8):1139-1149. [ YinS G, LiZ J, SongW X, et al. Spatial differentiation and influence factors of residential rent in Nanjing based on geographical detector[J]. Journal of Geo-information Science, 2018,20(8):1139-1149. ] [ Yin S G, Li Z J, Song W X, et al. Spatial differentiation and influence factors of residential rent in Nanjing based on geographical detector[J]. Journal of Geo-information Science, 2018,20(8):1139-1149. ]

[75] Trip distribution forecasting with multilayer perceptron neural networks: A critical evaluation[J]. Transportation Research Part B: Methodological, 34, 53-73(2000).

[76] Interval estimation in the calibration of certain trip distribution models[J]. Transportation Research Part B: Methodological, 15, 203-219(1981).

[77] The causal influences of income and car ownership on trip generation by mode[J]. Journal of Transport Economics and Policy, 23, 141-162(1989).

[78] Exploring car ownership and car use in neighborhoods near metro stations in Beijing: Does the neighborhood built environment matter?[J]. Transportation Research Part D: Transport and Environment, 56, 1-17(2017).

[79] Changes in level of household car ownership: The role of life events and spatial context[J]. Transportation, 43, 565-599(2016).

[80] Household car adoption and financial distress in deprived urban communities: A case of forced car ownership?[J]. Transport Policy, 65, 61-71(2018).

[81] et alJoint analysis of the spatial impacts of built environment on car ownership and travel mode choice[J]. Transportation Research Part D: Transport and Environment, 60, 28-40(2018).