地理研究 ›› 2021, Vol. 40 ›› Issue (1): 138-151.doi: 10.11821/dlyj020190853
收稿日期:
2019-09-30
接受日期:
2020-04-09
出版日期:
2021-01-10
发布日期:
2021-03-10
通讯作者:
何丹
作者简介:
康译之(1997-),女,江苏南通市人,硕士,研究方向为城市地理与区域规划。E-mail: 基金资助:
KANG Yizhi1,2(), HE Dan1,2(
), GAO Peng1, SUN Zhijing2
Received:
2019-09-30
Accepted:
2020-04-09
Online:
2021-01-10
Published:
2021-03-10
Contact:
HE Dan
摘要:
本文尝试将海港和内河港的腹地范围演化纳入统一的研究框架。运用场强模型划分2001年、2008年和2016年长三角主要海港和内河港口的直接腹地范围,分析其演化特征,总结演化最显著的两大龙头港口——上海港和宁波港的腹地演化影响机制。结果表明:① 港口场强分布特征是以三大海港为龙头形成三大高场强集聚区。② 港口直接腹地演化最明显的特征是宁波港扩张的腹地范围基本来自上海港收缩的腹地范围。③ 上海港的直接腹地范围不断被宁波港袭夺是因为上海港通过市场主导和行政协调的机制,扩展了沿着长江布局的内河港口群水水中转的间接腹地,而非直接陆地腹地;相反,宁波港主要依靠行政机制和逐渐强化的市场力量,使直接陆地腹地范围逐渐延展到浙江全省。
康译之, 何丹, 高鹏, 孙志晶. 长三角地区港口腹地范围演化及其影响机制[J]. 地理研究, 2021, 40(1): 138-151.
KANG Yizhi, HE Dan, GAO Peng, SUN Zhijing. Evolution and mechanism of port hinterland in Yangtze River Delta[J]. GEOGRAPHICAL RESEARCH, 2021, 40(1): 138-151.
表2
港口综合影响力排名与得分比较"
2001年 | 2008年 | 2016年 | |||
---|---|---|---|---|---|
上海港 | 92.0382 | 上海港 | 88.5235 | 上海港 | 85.8327 |
宁波港 | 63.2100 | 宁波港 | 67.4419 | 宁波港 | 72.8643 |
苏州港 | 51.4685 | 连云港 | 54.4012 | 苏州港 | 59.2693 |
南京港 | 50.8849 | 苏州港 | 54.2600 | 连云港 | 53.6902 |
连云港 | 48.1653 | 南京港 | 49.2148 | 南京港 | 48.6231 |
南通港 | 44.4860 | 舟山港 | 46.0051 | 舟山港 | 47.7524 |
镇江港 | 43.0663 | 江阴港 | 44.9647 | 南通港 | 44.6572 |
江阴港 | 42.7800 | 南通港 | 43.9108 | 江阴港 | 42.7701 |
舟山港 | 42.6081 | 镇江港 | 40.9148 | 镇江港 | 40.7099 |
泰州港 | 41.0424 | 泰州港 | 38.2858 | 泰州港 | 38.7368 |
芜湖港 | 38.9530 | 芜湖港 | 38.1035 | 芜湖港 | 36.5396 |
铜陵港 | 36.9556 | 马鞍山港 | 36.1685 | 马鞍山港 | 35.8517 |
马鞍山港 | 36.0178 | 铜陵港 | 35.8485 | 铜陵港 | 33.3323 |
平均值 | 48.5905 | 平均值 | 49.0802 | 平均值 | 49.2792 |
标准差 | 14.3457 | 标准差 | 14.2685 | 标准差 | 14.8315 |
变异系数 | 0.2952 | 变异系数 | 0.2907 | 变异系数 | 0.3010 |
表3
港口陆路可达性均值"
2001年 | 2008年 | 2016年 | |||
---|---|---|---|---|---|
南京港 | 7.3674 | 南京港 | 5.7256 | 芜湖港 | 5.5203 |
江阴港 | 7.5953 | 芜湖港 | 5.8716 | 马鞍山港 | 5.6539 |
马鞍山港 | 7.8563 | 马鞍山港 | 6.0046 | 南京港 | 5.7058 |
芜湖港 | 7.9954 | 镇江港 | 6.0401 | 江阴港 | 5.9045 |
镇江港 | 8.0122 | 江阴港 | 6.1647 | 镇江港 | 5.9131 |
泰州港 | 8.1496 | 泰州港 | 6.3608 | 泰州港 | 6.0536 |
苏州港 | 8.9595 | 铜陵港 | 6.6441 | 铜陵港 | 6.1415 |
南通港 | 9.0050 | 南通港 | 6.7377 | 南通港 | 6.5940 |
铜陵港 | 9.9289 | 苏州港 | 6.7900 | 苏州港 | 6.5952 |
上海港 | 10.7953 | 上海港 | 7.8450 | 上海港 | 7.5652 |
连云港 | 11.0394 | 宁波港 | 8.9378 | 舟山港 | 8.4599 |
宁波港 | 11.3490 | 连云港 | 9.1518 | 宁波港 | 8.7192 |
舟山港 | 12.6553 | 舟山港 | 9.7238 | 连云港 | 8.9660 |
平均值 | 9.2853 | 平均值 | 7.0767 | 平均值 | 6.7533 |
标准差 | 1.6343 | 标准差 | 1.3184 | 标准差 | 1.1929 |
变异系数 | 0.1760 | 变异系数 | 0.1863 | 变异系数 | 0.1766 |
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