空间一般均衡视角下的城市交通管理研究：现状与趋势

doi:10.16097/j.cnki.1009-6744.2023.03.002

交通运输系统工程与信息 ›› 2023, Vol. 23 ›› Issue (3): 6-19.DOI: 10.16097/j.cnki.1009-6744.2023.03.002

• 交通运输业高质量发展策略 • 上一篇下一篇

空间一般均衡视角下的城市交通管理研究：现状与趋势

徐淑贤^1a,1b，刘天亮^*2,3，王婷³，综凯³，黄海军²，马寿峰^1a,1b

1.天津大学，a.管理与经济学部，b.复杂管理系统实验室，天津300072；2.北京航空航天大学，经济管理学院，复杂系统分析与管理决策教有部重点实验室，北京100191；3.北京交通发展研究院，北京100073

收稿日期:2023-04-07 修回日期:2023-05-08 接受日期:2023-05-09 出版日期:2023-06-25 发布日期:2023-06-22
作者简介:徐淑贤(1990-),女，山东青岛人，副教授
基金资助:
国家自然科学基金 (72271175, 71890971, 72288101)

Urban Transportation Management from Perspective of General Spatial Equilibrium: Review and Trend

XU Shu-xian^1a,1b, LIU Tian-liang^*2,3, WANG Ting³, XIAN Kai³, HUANG Hai-jun², MA Shou-feng^1a,1b

1a. College of Management and Economics, 1b. Laboratory of Computation and Analytics of Complex Management Systems (CACMS), Tianjin University, Tianjin 300072, China; 2. MOE Key Laboratory of Complex System Analysis and Management Decision, School of Economics and Management, Beihang University, Beijing 100191, China; 3. Beijing Transport Institute, Beijing 100073, China

Received:2023-04-07 Revised:2023-05-08 Accepted:2023-05-09 Online:2023-06-25 Published:2023-06-22
Supported by:
National Natural Science Foundation of China (72271175, 71890971, 72288101)

摘要/Abstract

摘要： 城市交通是城市社会经济活动的关键支撑，促进城市交通与土地利用的协调发展是从根源上缓解城市交通拥堵问题，优化城市空间结构及实现城市可持续发展的关键。随着城市经济社会的发展和城镇化进程的推进，以及交通系统的低碳、绿色及智能发展趋势，传统侧重于城市交通供给或需求管理的单方策略已难以适应城市快速发展和居民美好生活的需要，城市交通管理需要更加聚焦职住行综合治理和供需动态平衡，实现与城市空间布局和土地利用等多层面的协调融合发展。本文以城市空间一般均衡理论为基础，围绕空间一般均衡视角下的城市交通出行行为分析、交通需求管理、交通基础设施供给以及供需褐合策略这4方面进行系统梳理，分析评述空间一般均衡视角下城市交通管理研究的理论模型、方法和问题。研究发现，现有模型不能刻画城市动态发展的过程和中国的现实，且依然聚焦在传统的交通管理研究问题。在城市更新、新国土空间规划、新交通技术与新模式及大数据等背景下，空间一般均衡视角下的城市交通管理研究存在巨大的发展空间，亟需在相关理论和方法上进行突破。未来可深入研究的方向包括：一是，分析城市发展进程中居民效用决策的影响因素，提出交通与城市融合发展下的居民效用决策理论与模型；二是，采用数据驱动和理论驱动相结合的方法，分析和管理城市活动/出行行为；三是，探究交通系统的新技术和新模式对城市空间结构和交通出行特征的影响，挖掘面向数智化时代的城市交通管理策略；四是，探究城市更新下交通引导城市空间重塑的理论与方法。

关键词: 交通运输经济, 土地利用, 空间均衡理论, 出行行为, 需求管理, 设施供给

Abstract: Urban transportation is the foundation of urban social and economic activities. Coordinated development of urban transportation and land use is of great practical significance to reduce traffic congestion, optimize the urban spatial structure, and realize sustainable urban development from the root of problems. With the development of urban society and the advancement of urbanization, as well as the low-carbon, green, and intelligent development trend of the transportation system, traditional urban transportation strategies purely focusing on supply or demand management cannot meet the needs of rapid urban development and the aspirations of the people to live a better life. Urban transportation management needs to focus on comprehensive governance of employment, housing, and transportation and dynamic equilibrium of supply and demand, to realize the coordinated and integrated development with urban spatial layout and land use. Based on the general spatial equilibrium theory, the literature on urban travel behavior analysis, travel demand management, transportation infrastructure supply, and supply-demand coupling strategies are systematically reviewed in this paper. Besides, the theoretical models, methods, and research problems in this area are also reviewed. It is found that the existing models cannot describe the dynamic process of urban development and the reality of China, and the related studies still focused on the traditional transportation management research problems. In the context of urban renewal, new territorial space planning systems, new transportation technologies and travel patterns, and big data, it is suggested that there is great potential for urban transportation management research from the perspective of general spatial equilibrium. It needs urgently a breakthrough in the corresponding theories and methods. Further research directions are proposed: the first is to analyze the influencing factors of residents' utility in the process of urban development, and put forward household utility decision-making theories and models under the integrated transportation and urban development; the second is to do activity/travel behavior analysis and management based on the data-driven and theory-driven methods; the third is to explore the impact of new technologies and modes of the transportation system on urban spatial structure and traffic characteristics, and study urban transport management issues for the era of digitization and intelligence; and the fourth is to explore theories and methods of urban space reshaping guided by transportation under urban renewal.

Key words: transportation economy, land use, spatial equilibrium theory, travel behavior, travel demand management; supply of infrastructure

中图分类号:

徐淑贤, 刘天亮, 王婷, 综凯, 黄海军, 马寿峰. 空间一般均衡视角下的城市交通管理研究：现状与趋势[J]. 交通运输系统工程与信息, 2023, 23(3): 6-19.

XU Shu-xian, LIU Tian-liang, WANG Ting, XIAN Kai, HUANG Hai-jun, MA Shou-feng. Urban Transportation Management from Perspective of General Spatial Equilibrium: Review and Trend[J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23(3): 6-19.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: http://www.tseit.org.cn/CN/10.16097/j.cnki.1009-6744.2023.03.002

http://www.tseit.org.cn/CN/Y2023/V23/I3/6

参考文献

[1] 黄海军, 高自友, 田琼, 等. 新型城镇化导向下的城市群综合交通系统管理[J]. 中国科学基金, 2018, 32(2): 214-223. [HUANG H J, GAO Z Y, TIAN Q, et al. The management theory and method of the comprehensive transportation system in city agglomeration under the new urbanization trend [J]. Bulletin of National Natural Science Foundation of China, 2018, 32(2): 214-223.]

[2] ZHAO P J, LU B, ROO G D. The impact of urban growth on commuting patterns in a restructuring city: Evidence from Beijing[J]. Papers in Regional Science, 2011,90(4): 735-754.

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

[4] Sung H, Choi K, Lee S, et al. Exploring the impacts of land use by service coverage and station-level accessibility on rail transit ridership[J]. Journal of Transport Geography, 2014, 36(2): 134-140.

[5] CERVERO R, CHANG D K. Bus rapid transit impacts on land uses and land values in Seoul, Korea[J]. Transport Policy, 2011,18(1): 102-116.

[6] 李俊芳,刘志钢,胡华. 纯郊区轨交线对房价的影响分析[J]. 交通运输系统工程与信息, 2020, 20(1):19-26. [LI J F, Liu Z G, HU H. Impact on Land Price of Urban Rail Transit Line Linking Town to Town[J]. Journal of Transportation Systems Engineering and Information Technology, 2020, 20(1):19-26]

[7] 初楠臣, 姜博, 李晓庆, 等. 哈大高铁沿线广义交通成本与土地价值增值分析[J]. 交通运输系统工程与信息, 2016, 16(2): 19-24. [CHU N C, JIAN B, LI X Q, et al. Generalized transportation costs and land value increment along Harbin- Dalian high-speed railway[J]. Journal of Transportation Systems Engineering and Information Technology, 2016, 16(2): 19-24.]

[8] 杨星琪, 黄海军. 高铁对城市经济空间结构影响的研究综述[J]. 交通运输系统工程与信息, 2022, 22(5): 7-18. [YANG X Q, HUANG H J. Review of impact of high-speed rail on urban economic spatial structure [J]. Journal of Transportation Systems Engineering and Information Technology, 2022, 22(5): 7-18.]

[9] 朱洪, 吉婉欣, 朱俊宇. 基于综合性节点城市定位的上海新城交通优化思考[J]. 上海城市规划, 2022, 165(04): 55-60. [ZHU H, JI W X, ZHU J Y. Thoughts on shanghai new towns’ transportation optimization based on positioning of comprehensive node city [J]. Shanghai Urban Planning Review, 2022, 165(04): 55-60.]

[10] 冯波.广州市公共交通与土地利用协调评价[J].交通与港航, 2020, 7(04): 21-30. [Feng B. Coordinated evaluation of public transport and land use in Guangzhou [J]. Communication & Shipping, 2020, 7(04): 21-30.]

[11] 高国力, 邱爱军, 潘昭宇, 等. 客观准确把握1小时通勤圈内涵特征引领支撑我国现代化都市圈稳步发展[J]. 宏观经济管理, 2023, 1: 26-32.

[12] 陈红霞. 基于空间均衡的新城发展机理研究[D]. 哈尔滨工业大学, 2008. [CHEN H X. Study on the mechanism of new town’s development based on spatial equilibrium [D]. Harbin Institute of Technology, 2008.]

[13] ALONSO W. Location and land use: Toward a general theory of land rent [M]. Massachusetts: Harvard University Press, Cambridge, 1964.

[14] MUTH R F. Cities and housing [M]. Chicago: University of Chicago Press, 1969.

[15] MILLS E S. Studies in the structure of the urban economy [M]. Johns Hopkins Press, Baltimore, 1972.

[16] WHEATON W C. On the optimal distribution of income among cities [J]. Journal of Urban Economics, 1976, 3 (1): 31–44.

[17] LEROY S F, SONSTELIE J. Paradise lost and regained: Transportation innovation, income, and residential location [J]. Journal of Urban Economics, 1983, 13(1): 67–89.

[18] TABUCHI T. Do the rich and poor colocate in large cities? [J]. Journal of Urban Economics, 2019, 113: 103186.

[19] Madden J.F. Why Women Work Closer to Home[J]. Urban Studies, 1981, 18(2):181-194.

[20] Lemoy R, Raux C, Jensen P. Exploring the polycentric city with multi-worker households: An agent-based microeconomic model [J]. Computers, Environment and Urban Systems, 2017, 62: 64-73.

[21] GAIGNÉ C, KOSTER H, MOIZEAU F, et al. Who lives where in the city? Amenities, commuting and income sorting[J]. Journal of Urban Economics, 2022, 128: 103394.

[22] BRUECKNER J K, THISSE J F, ZENOU Y. Why is central Paris rich and downtown Detroit poor? An amenity-based theory [J]. European economic review, 1999, 43 (1): 91–107.

[23] 徐淑贤, 刘天亮, 黄海军, 等.自驾偏好、居民异质与居住选址——基于单中心城市模型的空间均衡分析[J].管理科学学报, 2020, 23(06): 73-89. [XU S X, LIU T L, HUANG H J, et al. Preference for auto driving, resident heterogeneity and residential location choice: Urban spatial equilibrium analysis based on the monocentric city model [J]. Journal of Management Science in China, 2020, 23(06): 73-89.]

[24] STROTZ R H. Urban transportation parables, in ‘The public economy of urban communities’ (J. Margolis Ed.), Johns Hopkins University Press, Baltimore, 1965: 127–169.

[25] SOLOW R M. Congestion, density and the use of land in transportation [J]. The Swedish Journal of Economics, 1972, 74 (1): 161-173.

[26] ANAS A, XU R. Congestion, land use, and job dispersion: A general equilibrium model [J]. Journal of Urban Economics, 1999, 45(3): 451-473.

[27] LI Z C, CHEN Y J, WANG Y D, et al. Optimal density of radial major roads in a two-dimensional monocentric city with endogenous residential distribution and housing prices [J]. Regional Science and Urban Economics, 2013, 43: 927–937.

[28] CAPOZZA D R. Subways and land use [J]. Environment Planning1973, 5: 555–576.

[29] SASAKI K. Transportation system change and urban structure in two-transport mode setting [J]. Journal of Urban Economics, 1989, 25 (3): 346–367.

[30] HENDERSON V, MITRA A. The new urban landscape: Developers and edge cities [J]. Regional Science and Urban Economics, 1996, 26(6): 613-643.

[31] OGAWA H, FUJITA M. Equilibrium land use patterns in a nonmonocentric city [J]. Journal of Regional Science, 1980, 20(4): 455-475.

[32] LUCAS R E, ROSSI-HANSBERG E. On the internal structure of cities [J]. Econometrica, 2002, 70(4): 1445-1476.

[33] BILIR K, TONETTI C, ALLEN T. The spatial diffusion of knowledge [C]. Society for Economic Dynamics, 2017.

[34] CALIENDO L, PARRO F, ROSSI-HANSBERG E, et al. The impact of regional and sectoral productivity changes on the Us economy [J]. Review of Economic Studies, 2018，4(85): 2042-2096.

[35] KRUGMAN P. Increasing returns and economic geography[J]. Journal of Political Economy, 1991, 99(3):483-499.

[36] ALLEN T, ARKOLAKIS C, TAKAHSHI Y. Universal gravity [J]. Journal of Political Economy, 2020, 2(128): 393-433.

[37] BRYAN G, MORTEN M. The aggregate productivity effects of internal migration: Evidence from indonesia [J]. Journal of Political Economy,2019,127(5): 2229-2268.

[38] ARTUC E, MCLAREN J. Trade policy and wage inequality: A structural analysis with occupational and sectoral mobility [J]. Journal of International Economics. 2015, 97(2): 278-294.

[39] CAPOZZA D R. Subways and land use [J]. Environment Planning1973, 5: 555–576.

[40] ANAS A, MOSES L N. Mode choice, transport structure and urban land use [J]. Journal of Urban Economics, 1979, 6: 228–246.

[41] LEROY S F, SONSTELIE J. Paradise lost and regained: Transportation innovation, income, and residential location [J]. Journal of Urban Economics, 1983, 13(1): 67–89.

[42] SASAKI K. Transportation system change and urban structure in two-transport mode setting [J]. Journal of Urban Economics, 1989, 25 (3): 346–367.

[43] SASAKI K. Income class, modal choice, and urban spatial structure [J]. Journal of Urban Economics, 1990, 27(3): 322–343.

[44] XU S X, LIU T L, JIA N, et al. The effects of transportation system improvements on urban performances with heterogeneous residents [J]. Journal of Management Science and Engineering, 2020, 5 (4): 287–302.

[45] SOLOW R M. Congestion, density and the use of land in transportation [J]. The Swedish Journal of Economics, 1972, 74 (1): 161-173.

[46] ANAS A, XU R. Congestion, land use, and job dispersion: A general equilibrium model [J]. Journal of Urban Economics, 1999, 45(3): 451-473.

[47] HARING J E, SLOBKO T, CHAPMAN J. The impact of alternative transportation systems on urban structure [J]. Journal of Urban Economics, 1976, 3(1): 14-30.

[48] BUYUKEREN A C, HIRAMATSU T. Anti-congestion policies in cities with public transportation [J]. Journal of Economic Geography, 2016, 16 (2): 395-421.

[49] XU S X, LIU T L, HUANG H J, et al. Mode choice and railway subsidy in a congested monocentric city with endogenous population distribution [J]. Transportation Research Part A, 2018,116: 413-433.

[50] 陈雅娟, 黄海军, 李志纯. 多中心城市系统均衡分析与轨道交通投资影响评价研究[J].系统工程理论与实践, 2019, 39(12): 3120-3128. [CHEN Y J, HUANG H J, LI Z C. Urban system equilibrium analysis in a polycentric city and rail transit investment estimation [J]. Systems Engineering -- Theory & Practice, 2019, 39(12): 3120-3128.]

[51] DONG T, JIA N, MA S F, et al. Impacts of intercity commuting on travel characteristics and urban performances in a two-city system [J]. Transportation Research Part E, 2022, 164: 102792.

[52] VICKREY W S. Congestion theory and transport investment [J]. American Economic Review, 1969, 59 (2): 251–261. [53] ARNOTT R. Congestion tolling and urban spatial structure [J]. Journal of Regional Science, 1998, 38 (3): 495-504.

[54] GUBINS S, VERHOEF E T. Dynamic bottleneck congestion and residential land use in the monocentric city [J]. Journal of Urban Economics, 2014, 80: 51–61.

[55] TAKAYAMA Y, KUWAHARA M. Bottleneck congestion and residential location of heterogeneous commuters [J]. Journal of Urban Economics 2017, 100: 65-79.

[56] XU S X, LIU R, LIU T L, et al. Pareto-improving policies for an idealized two-zone city served by two congestible modes [J]. Transportation Research Part B, 2018, 117: 876-891.

[57] LIU P, XU S X, ONG G P, et al. Effect of autonomous vehicles on travel and urban characteristics [J]. Transportation Research Part B, 2021, 153: 128-148.

[58] MA X S, LO H K. Modeling transport management and land use over time [J]. Transportation Research Part B, 2012, 46: 687–709.

[59] MA X S, LO H K. On joint railway and housing development strategy [J]. Transportation Research Part B, 2013, 57: 451-467.

[60] NG K F, LO H K. Optimal housing supply in a bid-rent equilibrium framework. Transportation Research Part B, 2015, 74: 62–78.

[61] LI T F, SUN H J, WU J J, et al. Optimal toll of new highway in the equilibrium framework of heterogeneous households’ residential location choice [J]. Transportation Research Part A, 2017, 105: 123-137.

[62] LI T F, SUN H J, WU J J, et al. Household residential location choice equilibrium model based on reference-dependent theory [J]. Journal of Urban Planning and Development, 2020, 146(1): 04019024.

[63] PINES D, SADKA E. Zoning, first-best, second-best, and third-best criteria for allocating land for roads [J]. Journal of Urban Economics, 1985, 17 (2): 167–183.

[64] WHEATON W C. Land use and density in cities with congestion [J]. Journal of Urban Economics, 1998, 43 (2): 258–272. [65] VERHOEF E T. Second-best congestion pricing schemes in the monocentric city [J]. Journal of Urban Economics, 2005, 58 (3): 367–388.

[66] ANAS A, PINES D. Public goods and congestion in a system of cities: How do fiscal and zoning policies improve efficiency [J]. Journal of Economic Geography, 2013, 13: 649-676.

[67] ZHANG W, KOCKELMAN K M. Optimal policies in cities with congestion and agglomeration externalities: Congestion tolls, labor subsidies, and place-based strategies [J]. Journal of Urban Economics, 2016a, 95: 64–86.

[68] ZHANG W, KOCKELMAN K M. Congestion pricing effects on firm and household location choices in monocentric and ploycentric cities [J]. Regional Science and Urban Economics, 2016b, 58: 1–12.

[69] LI Z C, GUO Q W. Optimal time for implementing cordon toll pricing scheme in a monocentric city [J]. Papers in Regional Science, 2017, 96: 163-190.

[70] LI Z C, WANG Y D. Analysis of multimodal two-dimensional urban system equilibrium for cordon toll pricing and bus service design [J]. Transportation Research Part B, 2018, 111: 244-265.

[71] CHEN Y J, LI Z C, LAM W H K. Cordon toll pricing in a multi-modal linear monocentric city with stochastic auto travel time [J]. Transportmetrica A, 2018, 14: 22-49.

[72] Vandyck T, Rutherford T F. Regional labor markets, commuting, and the economic impact of road pricing[J]. Regional Science and Urban Economics, 2018, 73: 217-236.

[73] CREUTZIG F. How fuel prices determine public transport infrastructure, modal shares and urban form [J]. Urban Climate, 2014, 10: 63–76.

[74] LI Z C, PENG Y T. Modeling the effects of vehicle emission taxes on residential location choices of different-income households [J]. Transportation Research Part D, 2016, 48: 248-266.

[75] CHEN Y J, LI Z C, LAM W H K, et al. Tradable location tax credit scheme for balancing traffic congestion and environmental externalities. International Journal of Sustainable Transportation [J], 2016, 10: 917-934.

[76] BORCK R, BRUECKNER J. Optimal energy taxation in cities. Journal of the Association of Environmental and Resource Economists, 2018, 5(2).

[77] 杨星琪, 黄海军. 治理“大城市病”的城市群税收政策[J]. 清华大学学报(自然科学版), 2022, 62(7): 1212-1219. [YANG X Q, HUANG H J. Tax policies for urban agglomeration to control “big city disease”[J]. Journal of Tsinghua University (Science and Technology), 2022, 62(7): 1212-1219.]

[78] WASMER E, ZENOU Y. Does city structure affect job search and welfare[J]. Journal of Urban Economics, 2002, 51(3): 515-541.

[79] BRUECKNER J K. Transport subsidies, system choice, and urban sprawl [J]. Regional Science and Urban Economics, 2005, 35 (6): 715–733.

[80] SU Q, DESALVO J S. The effect of transportation subsidies on urban sprawl [J]. Journal of Regional Science, 2008, 48 (3): 567–594.

[81] BORCK R, WREDE M. Commuting subsidies with two transport modes [J]. Journal of Urban Economics, 2008, 63: 841–848.

[82] 赵雪梅, 肖玲玲, 王邹. 交通补贴对城市居民效用的影响分析 [J]. 系统工程理论与实践, 2018, 38(8): 2088-2097. [ZHAO X M, XIAO L L, WANG Z. The impact analysis of transport subsidies on urban individual welfare [J]. Systems Engineering — Theory & Practice, 2018, 38(8): 2088-2097.]

[83] MURATA Y, THISSE J F. A simple model of economic geography à la Helpman–Tabuchi [J]. Journal of Urban Economics, 2005,58(1): 137-155.

[84] TABUCHI T, THISSE J F, ZENG D Z. On the number and size of cities [J]. Journal of Economic Geography, 2005, 5(4): 423-448.

[85] SOREK G. Migration costs, commuting costs and intercity population sorting [J]. Regional science and urban economics, 2009, 39(4): 377-385.

[86] BORCK R, WREDE M. Subsidies for intracity and intercity commuting [J]. Journal of Urban Economics, 2009, 66(1): 25-32.

[87] REN T, HUANG H J. A competitive system with transit and highway: Revisiting the political feasibility of road pricing[J]. Transport Policy, 2020, 88: 42-56.

[88] BRUECKNER J K, FRANCO S F. Employer-paid parking, mode choice, and suburbanization [J]. Journal of Urban Economics, 2018, 104: 35-46.

[89] PONS-RIGAT A, PROOST S, TURRÓ M. Workplace parking policies in an agglomeration: An illustration for Barcelona [J]. Economics of Transportation, 2020, 24, 100194.

[90] ZAKHARENKO R. Self-driving cars will change cities. Regional Science and Urban Economics, 2016, 61: 26–37.

[91] LARSON W, ZHAO W. Self-driving cars and the city: Effects on sprawl, energy consumption, and housing affordability [J]. Regional Science and Urban Economics, 2020, 81: 103484.

[92] SAFIROVA E. Telecommuting, traffic congestion, and agglomeration: A general equilibrium model [J]. Journal of Urban Economics, 2002, 52: 26-52.

[93] RHEE H J. Home-based telecommuting and commuting behavior [J]. Journal of Urban Economics, 2008, 63: 198-216. [94] RHEE H J. Telecommuting and urban sprawl [J]. Transportation Research Part D: Transport and Environment, 2009,14: 453-460.

[95] DELVENTHAL M J, KWON E, PARKHOMENKO A. JUE insight: How do cities change when we work from home? [J]. Journal of Urban Economics, 2022, 127: 103331.

[96] LI Z C, LI Z K, LAM W H K. An integrated design of sustainable land use and transportation system with uncertainty in future population [J]. Transportmetrica, 2014, 10(2): 160-185.

[97] LI T F, WU J J, SUN H J, ET AL. Integrated co-evolution model of land use and traffic network design [J]. Networks and Spatial Economics, 2016, 16(2): 579-603.

[98] LI Z C, LAM W H K, WONG S C, et al. Modeling the effects of integrated rail and property development on the design of rail line services in a linear monocentric city. Transportation Research Part B, 2012, 46(6): 710-728.

[99] LI Z C, GUO Q W, LAM W H K, et al. Transit technology investment and selection under urban population volatility: A real option perspective. Transportation Research Part B, 2015, 78: 318-340.

[100] SANG J, LI Z C, LAM W H K, et al. Design of build-operate-transfer contract for integrated rail and property development with uncertainty in future urban population[J]. Transportation Research Part B: Methodological, 2019, 130: 36-66.

[101] SASAKI K. Trade and migration in a two-city model of transportation investments[J]. The Annals of Regional Science, 1992, 26: 305-317.

[102] VANDYCK T, PROOST S. Inefficiencies in regional commuting policy [J]. Papers in Regional Science, 2012, 91(3): 659-689.

[103] LI Z C, MA J C. Investing in inter-city and or intra-city rail lines? A general equilibrium analysis for a two-city system [J]. Transport Policy, 2021, 108: 59-82.

[104] YANG X Q, HUANG H J. Effects of HSR station location on urban spatial structure: A spatial equilibrium analysis for a two-city system[J]. Transportation Research Part E: Logistics and Transportation Review, 2022, 166: 102888.

[105] PENG Y T, LI Z C, CHOI K. Transit-oriented development in an urban rail transportation corridor [J]. Transportation Research Part B, 2017, 103: 269-290.

[106] NG K F, LO H K. On joint railway and housing development: Housing-led versus railway-led schemes[J]. Transportation Research Part B: Methodological, 2017, 106: 464-488.

[107] ANAS A. The optimal pricing, finance and supply of urban transportation in general equilibrium: A theoretical exposition [J]. Economics of Transportation, 2012, 1: 64–76.

[108] MA X S, HONG K L. Adaptive transport supply and demand management strategies in an integrated land use and transport model [J]. Transportation Research Record: Journal of the Transportation Research Board, 2015, 2494(1):11-20.

空间一般均衡视角下的城市交通管理研究：现状与趋势

Urban Transportation Management from Perspective of General Spatial Equilibrium: Review and Trend

PDF

PDF(English version)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	金嘉晨, 殷明. 全国港航科技创新网络结构特征及演化[J]. 交通运输系统工程与信息, 2024, 24(1): 24-34.
[2]	苗婷婷, 黄海军. 双城系统的聚集外部性、拥堵外部性和最优收费[J]. 交通运输系统工程与信息, 2024, 24(1): 46-54.
[3]	姚志刚, 王淑洁, 龚林伟. 基于基尼系数分解的城乡公共交通不平等测度：以浙江省海宁市为例[J]. 交通运输系统工程与信息, 2024, 24(1): 282-289.
[4]	邬岚, 陆豪冬, 尹超英, 成迎吉, 任斯奇. 基于货运量及能源强度影响的长三角地区货运碳排放研究[J]. 交通运输系统工程与信息, 2023, 23(6): 1-10.
[5]	申嘉琪, 刘浩, 张戎. 公路商品车运价测算及考虑燃油价格变动的铁路竞争力分析[J]. 交通运输系统工程与信息, 2023, 23(4): 47-54.
[6]	周雨阳, 王沛钰, 陈艳艳. 考虑自我呈现与环保意识的出行方式选择行为异质性分析[J]. 交通运输系统工程与信息, 2023, 23(3): 30-38.
[7]	刘浩, 申嘉琪, 张戎, 吴昊天, 张卓玮. 货运价格转换及基于揭示偏好数据的公铁竞争模型[J]. 交通运输系统工程与信息, 2023, 23(3): 85-93.
[8]	陈坚, 张弛, 傅志妍, 刘柯良. 社交网络信息对出行行为的影响研究综述[J]. 交通运输系统工程与信息, 2023, 23(2): 1-10.
[9]	樊东方, 靳志宏. 中美物流成本评价指标的影响因素分析及分解研究[J]. 交通运输系统工程与信息, 2023, 23(2): 32-39.
[10]	金盛, 苏弘扬, 张静. 融合出行拓扑与序列分析的车辆时空出行模式挖掘[J]. 交通运输系统工程与信息, 2023, 23(2): 40-53.
[11]	郑乐, 高良鹏, 陈学武. 基于多源数据的地铁公交换乘量影响因素与空间异质性分析[J]. 交通运输系统工程与信息, 2023, 23(2): 128-138.
[12]	诸立超, 刘昭然, 汪瑞琪, 熊强. 中国货运结构优化的碳减排效应测度[J]. 交通运输系统工程与信息, 2022, 22(6): 309-315.
[13]	杨星琪, 黄海军. 高铁对城市经济空间结构影响的研究综述[J]. 交通运输系统工程与信息, 2022, 22(5): 7-18.
[14]	姚敏峰, 秦昱晨, 石磊, 詹晓东. 城市设计视角下的市郊铁路站域商业溢价效应研究[J]. 交通运输系统工程与信息, 2022, 22(5): 37-46.
[15]	靳志宏, 黄颖, 张佳艺, 徐世达. 甩箱模式下考虑多箱型任务组合的集卡调度优化[J]. 交通运输系统工程与信息, 2022, 22(5): 243-252.